Some standard content:
TD/T1005—2003
This standard is formulated in accordance with the Land Administration Law of the People's Republic of China and other laws and regulations in order to comprehensively grasp the quality of agricultural land resources in my country, scientifically evaluate and manage agricultural land, promote the rational use of agricultural land in my country, unify the grading procedures and methods of agricultural land, and make the grading results objective, fair and reasonable. Appendix A, Appendix C, Appendix D and Appendix E of this standard are all normative appendices. Appendix B of this standard is an informative appendix.
This standard is proposed, approved and managed by the Ministry of Land and Resources. The drafting units of this standard are: Land Utilization Management Department of the Ministry of Land and Resources, Land Consolidation Center of the Ministry of Land and Resources, China Agricultural University, Beijing Normal University, Hebei Normal University.
The main drafters of this standard are: Hu Cunzhi, Xun Wenju, Qiu Weili, Zhang Fengrong, Zhu Deju, Gao Xiangjun, Fan Shuyin, Wu Haiyang, Guan Wenrong, Chen Yuan, Hu Jiang, Miao Limei.
Participants: Ma Renhui, An Pingli, Duan Zengqiang, Li Baolian, Xu Baogen, Peng Qun, Zheng Yuan, Su Qiang, Luo Ming. The Ministry of Land and Resources is responsible for interpreting this standard. 1 Scope
Procedure for Classification of Agricultural Land
TD/T 1005—2003
This standard specifies the purpose, tasks, objects, principles, contents, procedures, methods, requirements for results, inspection and acceptance of results, update and application of results, and file management of agricultural land classification. This standard applies to existing agricultural land and unused land suitable for agriculture within county-level administrative areas, and does not apply to forest land, pasture and other agricultural land designated in nature reserves and land use master plans. 2 Normative References
The clauses in the following documents become clauses of this standard through reference in this standard. For any dated referenced document, all subsequent amendments (excluding errata) or revisions are not applicable to this standard. However, parties that reach an agreement based on this standard are encouraged to study whether the latest versions of these documents can be used. For any undated referenced document, the latest version is applicable to this standard. GB/T18507—2001 Rules for Classification and Grading of Urban Land "Rules for the Preparation of County-level Land Use Master Plans" (October 7, 1997) "Technical Regulations for Land Use Status Survey" (National Agricultural Zoning Committee, September 1984) "China Soil Survey Technology" (National Soil Survey Office, May 1992) "Notice on Issuing the Trial Implementation of (Land Classification)" (National Land and Resources Development [2001] No. 255) 3 Terms and Definitions
The following terms and definitions apply to this standard. 3.1 Agricultural Land
The agricultural land referred to in this standard refers to land directly used for agricultural production, including cultivated land, gardens, forest land, pasture and other agricultural land. 3.2 Agricultural Land Level
Within the administrative region (province, county), according to the composition The natural factors and socio-economic factors of land quality are based on the needs of local land management and actual conditions, and in accordance with the principle of being consistent with the requirements of the client, that is, mainly considering the purpose of grading, and the comprehensive assessment of agricultural land quality is carried out in accordance with the prescribed methods and procedures to divide the agricultural land grades. 3.3 Factor method
Through a comprehensive analysis of the natural factors and socio-economic factors that constitute the land quality, the factor system and influencing weights are determined, and the total score of the unit factors is calculated, which is used as a basis for objectively assessing the grade of agricultural land. 3.4 Correction method
The correction method is based on the agricultural land grading index, according to the purpose of grading, and selects factors such as location conditions and farming convenience to calculate the correction coefficient, and the grading results are corrected to assess the agricultural land grade. 3.5 Sample Land method
The sample plot method is a method of assessing the grade of agricultural land by using selected standard sample plots as reference, establishing scoring rules for grading factors, and calculating the scores of grading unit factors through comparison.
4 General provisions
4.1 Purpose and tasks
4.1.1 Purpose
Scientifically quantify the quality and distribution of agricultural land in the region, and provide a basis for land consolidation, balance of cultivated land occupation and compensation, protection of basic farmland, agricultural land valuation and other 1
TD/T1005—2003
related land management work.
4.1.2 Tasks
Based on the natural attributes and economic attributes of agricultural land, conduct a comprehensive and quantitative assessment of the quality of agricultural land and classify it into grades. Requirements for agricultural land grading results It is comparable within the county. 4.2 Object
The object of agricultural land classification is the existing agricultural land and unused land suitable for agriculture within the county-level administrative area, and does not include nature reserves and forest land, pasture and other agricultural land designated in the overall land use plan. 4.3 Principle
4.3.1 Comprehensive analysis principle
The quality of agricultural land is the result of the combined effects of various natural factors and socio-economic factors. The classification of agricultural land should be based on a comprehensive analysis of various factors that cause differences in land quality. 4.3.2 Dominant factor principle
The classification of agricultural land should focus on analyzing the dominant factors that play an important role in the quality of agricultural land and the level of land productivity based on the differences in influencing factors and their effects, and highlight the role of dominant factors in the classification results. 4.3.3 Land income difference principle
The classification of agricultural land should reflect the impact of differences in land natural quality conditions, land use levels, and socio-economic levels on the level of land productivity and land income.
4.3.4 Principle of combining quantitative analysis with qualitative analysis Agricultural land classification should quantify qualitative and empirical analysis, with quantitative calculation as the main method. It is necessary to adopt qualitative analysis for natural factors and socio-economic factors that are difficult to quantify at present, and apply the results of qualitative analysis to the adjustment and determination of agricultural land classification results, so as to improve the accuracy of agricultural land classification results.
4.4 Work content
Includes the following contents:
a) Work preparation, preparation of task book;
Collecting data and supplementary field investigation;
Organizing data and quantitative processing;
d) Calculating classification index and assessment level;
Checking level and implementing boundary;
Preparing drawings, counting and calculating area, and writing results report;
Result acceptance;
Result archiving and updating application.
4.5 Technical steps
Include the following contents:
a) Determine the grading method;
Determine the grading factors;
Calculate the scores of the grading factors;
Compile the score map of the grading factors;
Divide the grading units;
Calculate the scores of each grading factor in the grading unit; g)
Calculate the grading index and preliminarily divide the land level; verify and adjust the preliminary grading results;
Count and measure the area;
Compile drawings, reports and basic data compilation. 4.6 Scale of the working base map
The working base map adopts a scale of 1:10000~150000, or it can be determined according to the needs of management work. 4.7 Results
The results include: text reports, drawings, basic data compilation and corresponding electronic documents. 4.8 Application of relevant technologies
It is required to apply computer technology to carry out agricultural land classification. 5 Preparation work
5.1 Preparation of task book
The task book includes:
a) classification area and scope;
b) work procedures and methods;
c) technical data and basic drawings;
d) organization and leadership;
e) staff, time arrangement, budget; f) results requirements.
5.2 Preparation of forms
Prepare work forms according to the needs of agricultural land classification in specific areas. The form style is shown in Appendix A. 5.3 Collect data
Data on natural conditions of agricultural land
Climate: average temperature, accumulated temperature, precipitation, evaporation, frost-free period, disaster climate and other factors; b) Hydrology: water source type (surface water, groundwater), water volume, water quality, etc.; c) Soil: soil type, surface soil organic matter content, surface soil texture, effective soil layer thickness, soil salinity, surface structure, barrier layer characteristics, soil erosion, soil pollution, soil water retention and supply, gravel content in soil, etc.; d) Landform: landform type, altitude, slope, slope direction, slope type, terrain location; e) Farmland infrastructure: irrigation conditions (water source guarantee rate, irrigation guarantee rate), drainage conditions, field road conditions, field size, flatness and degree of fragmentation, etc.
5.3.2 Agricultural land use data
Statistical data on the area, yield per unit area, and total yield of major crops, land use conditions at sample points, agricultural production measurement data, agricultural technology experimental data, etc.
5.3.3 Agricultural land economic data
Per capita cultivated land, per mu capital investment, per mu net income, per capita income of farmers, rural road network distribution, road grade standard, distance from regional economic center, cultivation distance, degree of field dispersion, etc. 5.3.4 Map data
Land use status map, soil map, topographic map, land use planning map and other related maps. 5.3.5 Other data
Agricultural zoning data, soil census data, land use status survey data, land use planning, land use change data, agricultural statistics, local market price data, etc. 5.3.6 Agricultural land classification data
For agricultural land classification work, the compilation of basic data, intermediate results and final results of agricultural land classification should be collected. 5.4 Data verification and preliminary arrangement
5.4.1 Data verification
The data source should be reliable and the measurement unit should be unified. The data that does not conform to the actual situation and individual abnormal values should be corrected or eliminated. 3
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5.4.2 Preliminary sorting
a) Classify and code the existing data; b) Keep a good record of the insufficient, untrue, unclear and outdated data for supplementary field investigation. Determine the grading index
The grading index is the basic basis for the classification of agricultural land. There are three methods for determination: factor method, correction method and sample method. 6.1 Factor method
6.1.1 Determine the grading factor system and weight
Grading factors refer to natural factors, location factors and socio-economic factors that have a significant impact on the quality differences of agricultural land. Some factors can be decomposed into multiple factors to form a factor system. The weight reflects the degree of influence of grading factors on the quality of agricultural land. 6.1.1.1 Principles for selecting grading factors
a) Dominant factor principle
Select the factors that play a dominant role in affecting the land level in the region, and highlight the role of the dominant factors in the grading results. b) Principle of Difference
The impact of classification factors on different regions should be quite different, and the index values of factors should have a large range of variation. Principle of Relative Stability
The selected factors should be relatively stable, and variable factors should be avoided. d) Principle of Feasibility
The depth of agricultural land classification should be coordinated with the existing local data and technical level. The classification factors should be selected from the existing data, and field supplementary measurements should be carried out when necessary.
6.1.1.2 Determination Method
Select one or more methods such as Delphi method, factor pairwise comparison method, hierarchical analysis method, etc. to determine the factors and weights. Regions carrying out agricultural land classification can screen or supplement the classification factors given in Table A.1 according to local actual conditions. 6.1.2 Compile a "Quality Score of Classification Factors" relationship table According to the degree of influence of each classification factor on agricultural land quality, the index values are graded and the corresponding quality scores are given. a) The quality score of factors is positively correlated with the quality of land, that is, the better the land quality, the higher the quality score, and vice versa; b) The quality score system adopts a percentage system;
c) The quality score only corresponds to the significant effect interval of the factor. 6.1.3 Verification
Before the comprehensive grading work, select 1-2 townships for trial evaluation, and test the preliminary determined factor system and weights, and the "grading factor quality score" relationship table. If the trial evaluation results are inconsistent with the actual situation, they should be readjusted. 6.1.4 Sorting and quantification of grading data
6.1.4.1 Sorting of grading factor data
a) Sorting and verifying the grading factor data. When the data is insufficient, a supplementary field survey should be conducted. The method is shown in 6.1.5; b) Marking the grading factor data on the working base map. 6.1.4.2 Quantification of grading factor indicators
Determine the quantification method according to the impact of the grading factors on the agricultural land level. Area factors: The quality of the indicators of the designated level factors only affects the plots with this indicator (such as soil texture). The area factors are non-diffusion factors. The maximum and minimum value method or the mean value method is used for quantification. Linear factors: The quality of the indicators of the designated level factors not only affects the plots with this indicator, but also affects the agricultural land within a certain distance (such as traffic conditions). Linear factors are parallel diffusion factors. As the distance increases, the intensity of their influence decays according to a certain law. The quantification method uses the linear attenuation method or the exponential attenuation method. c) Point factors: The quality of the indicators of the designated level factors not only affects the plots with this indicator, but also affects the agricultural land around them. 1005—2003
effect (such as agricultural trade center), point factors are concentric diffusion factors, and the quantification method adopts linear attenuation method or exponential attenuation method d) For factors with cross-effects (such as agricultural trade centers at all levels, roads, etc.), functional segmentation or attenuation superposition processing should be carried out. For quantification methods, please refer to Appendix B.
6.1.5 Field survey
6.1.5.1 Work content
a) Determine the survey content according to the requirements of the grading task book; b) For factor data that cannot be directly obtained from relevant business departments, use the field survey method to collect; verify and correct the data with poor current status; collect the experience evaluation results of agricultural land quality by local farmers or agricultural technicians familiar with the situation, which will be used for auxiliary selection of sample points and d)
verification of grading results.
6.1.5.2 Work requirements
a) Focus on investigating the economic data such as agricultural product output, price, cost, etc. in the past three years; focus on investigating the current location conditions and recent planning data that have a decisive impact on the quality of agricultural land; b))
Areas where the agricultural land classification work has been completed can use the classification survey results; c)
The principles, methods, procedures, and accuracy requirements of field investigations are shown in Appendix C. d)
6.1.6 Preparation of factor score maps
Prepare according to the relative value method. If the existing data is insufficient or the accuracy is not enough, a supplementary field investigation should be carried out first. a) Use a primitive map with the same scale as the agricultural land classification unit map as the working base map; mark the classification factor scores on the working base map; b)
c) Mark the map name, legend, map number and other mapping elements; d) The factor score map can be generated by a computer system. 6.1.7 Division of grading units
The grading unit is the basic spatial unit for calculating the grading index, which requires that the land quality within the unit is relatively uniform and there are large differences between units. 6.1.7.1 Division requirements
The grading unit is the smallest spatial unit for grading agricultural land. The grading unit should be divided according to the following requirements: a) The land characteristics between units are obviously different. Land in different geomorphic parts is not classified as the same unit. The water and heat distribution on both sides of the mountain range is obviously different. The indicators of grading factors such as groundwater, soil conditions, salinity, etc. are obviously different. They are not classified as the same unit;
b) The unit boundary should not cross the land boundary; c) The unit boundary should adopt the geomorphic trend line and boundary line that controls the regional pattern, linear features such as rivers, ditches, roads, dams, and clearly marked ownership boundaries.
6.1.7.2 Division methods
The main methods are:
a) Overlay method
The closed map formed by superimposing the current land use map with the topographic map and soil map of the same scale is the classification unit with certain topographic characteristics, soil properties and cultivated land types. If the map is smaller than the minimum upper map area (6mm), it should be merged. The overlay method is suitable for areas with many current land use types and complex landform types. b) Plot method
Using the obvious land feature boundaries or ownership boundaries on the working base map as boundaries, the plots with relatively uniform dominant characteristics are divided into agricultural land classification units. The map spots in the current land use map can also be directly used as classification units. The plot method is applicable to all classification types and regions. c) Grid method
A grid of a certain size is used as the classification unit. The grid size is based on the standard of being able to distinguish plots with different characteristics. Fixed grids or dynamic grids can be used. The grid method for dividing grading units is applicable to areas where the spatial variation of grading factors is not obvious. 5
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d) Polygon method
All grading factor score maps are superimposed, and the resulting closed polygon is the grading unit. The polygon method is applicable to all grading types and areas.
6.1.8 Calculate the factor scores of the grading unit
Overlay the grading unit map on the grading factor score map, and select the following methods for calculation according to the actual situation: a) The average value of the factor equal-dividing lines contained in the grading unit represents the unit score; b) The weighted average score of the area of different score areas spanned by the grading unit represents the unit score; the score of the geometric center point of the grading unit represents the unit score; c
The average value of each turning point and obvious change point of the grading unit represents the unit score; d)
Combined use of the above methods to calculate the score; e)
When using computer means to grade agricultural land, the point and line grading factor scores are calculated according to the corresponding attenuation formula, and the surface factor scores are directly read from the effect score of the indicator area where the center point is located. 6.1.9 Calculate the grading index
You can use the grading factor score to calculate directly, or you can first integrate the grading factors into the grading factor score and then calculate. The main calculation methods are: a) Weighted summation method (see formula (1)): H.
H, — grading index of the i-th grading unit; grading unit number;
grading factor number;
weight of the i-th grading factor;
score of the i-th grading factor in the i-th grading unit. Geometric mean method (see formula (2)):
Where:
H, — grading index of the i-th grading unit; i
grading unit number;
grading factor number;
score of the i-th grading factor in the i-th grading unit, n is the number of grading factors. c) Restriction coefficient method
When a certain land grading factor has strong restrictions on land grading, the restriction coefficient calculation method should be selected (see formula (3)): IF·
Swu·fi
H一道
100″
Wherein:
Grading index of the first grading unit;
Grading unit number;
Strongly restrictive grading factor number;
Carbon-phenanthrene restrictive grading factor number; F,
the score of the strongly restrictive grading factor; fthe score of the kth non-restrictive grading factor in the ith grading unit; 6
...--( 3 )
-———the weight of the th non-restrictive grading factor; m —-The number of strongly restrictive grading factors;——The total number of grading units;
u———The number of non-restrictive grading factors. 6.2 Correction method
6.2.1 Determine the correction factors
6.2.1.1 Selection scope of correction factors
TD/T1005—2003
Correction factors refer to factors that have a significant impact on the grade of agricultural land other than grading factors. Alternative correction factors include: Land location conditions: including agricultural trade centers and traffic conditions, etc.; a)
b) Farming convenience conditions: including farming distance, field roads and field shapes, etc.; Land use conditions: including land use status, utilization methods, management benefits, and utilization intensity, etc.; c)
d) Other factors.
6.2.1.2 Determine the correction factors
Use the Delphi method, factor pair comparison method, hierarchical analysis method and other methods to screen and supplement the candidate correction factors, and preliminarily select a)
correction factors, focusing on the impact of economic conditions and location conditions on the level; b)
Before the full implementation of the work, select 1 to 2 townships for trial evaluation, and determine the correction factors based on the trial evaluation results. 6.2.2 Data collation and quantification
6.2.2.1 Preliminary collation of existing data ||tt ||Mainly organize the classification data of agricultural land in the classification area, including various basic data collected during classification, intermediate results of classification and final results, etc. The main contents are:
a) According to the needs of classification, review, classify, analyze and verify the classification datab) Record the data that cannot meet the requirements of classification work so as to conduct supplementary investigation. 6.2.2.2 Compilation and quantification of correction factor data Refer to 6.1.4 for the compilation and quantification of agricultural land classification correction factor data.6.2.3 Field investigation
Field investigation should be carried out in conjunction with classification work;a)|| tt||b) Field surveys should focus on the location conditions of agricultural areas, farming convenience and other correction factor data according to the calculation needs of the grading index. Compile a grading correction factor score map
Use a base map with the same scale as the agricultural land grading unit map as the working base map; mark the grading correction factor score on the working base map; b)
Mark other mapping elements such as map name, legend, map number; c)
You can first compile a grading factor score map and then synthesize it into a grading correction factor score map; d)
The grading correction factor score map can be generated by a computer system. e)
6.2.5 Division of grading units
It can be divided on the basis of the agricultural land grading unit map, or it can be divided according to the provisions of 6.1.7. 6.2.6 Calculation of unit correction factor quality score
Superimpose the grading unit chart on the grading correction factor score chart, and use the method specified in 6.1.8 to obtain and calculate the grading factor scores within the unit.
6.2.7 Calculation of correction coefficient (k)
The correction coefficient reflects the relative degree of change of the correction factor within the grading range, and can be calculated using formula (4): K,
Electric Power Specialized Operations
TD/T 1005--2003
In the formula:
i—the jth correction factor;
k——the correction coefficient of the i-th correction factor; K,—the i-th correction factor score of the i-th unit; K,—the average score of the i-th correction factor in the region; i——the i-th grading unit.
6.2.8 Prepare the correction coefficient chart
Mark the calculation results of the correction coefficient on the grading unit chart and prepare the correction coefficient chart. 6.2.9 Calculate the grading index
There are two calculation methods:
a) Multiplication correction method (see formula (5)): H. -G;·IIk
Where:
H,——Grading index of the ith grading unit; G——Grading index corresponding to the ith unit; k; —Correction coefficient of the ith correction factor of the ith unit. b) Weighted correction method (see formula (6)): H, = G,·Zw,kj
Where:
H,Grading index of the ith unit;
G,——Grading index corresponding to the ith unit; w; —The weight of the jth correction factor;
k——Correction coefficient of the jth correction factor of the ith unit. ·（5）
According to the requirements of the grading purpose, the intermediate results of grading, such as natural quality score, natural grade index, and utilization grade index, can also be selected as the basis for correction.
6.3 Sample plot method
6.3.1 Content and procedure
See Figure 1 for the content and procedure.
6.3.2 Division unit
See 6.1.7 for the division method.
Grading units should be uniformly numbered within the county and filled in and registered in the form of townships (towns). The form style is shown in Table A.5. 6.3.3 Setting up standard sample plots
The county-level standard sample plot refers to the grading unit selected from the highest range of major crop yield levels when the technical and management levels within the county are at an average level.
a) At least one standard sample plot shall be arranged in each township. The grading unit with the best agricultural production conditions shall be selected as the standard sample plot, and the actual productivity level of the standard sample plot shall be the highest in the local area;
The standard sample plot shall be the grading unit determined as basic farmland in the overall land use plan;
The standard sample plot shall be indicated in Table A.5;
The standard sample plot shall be registered in the format of Table A.6;
e) Landscape photos and soil profile photos of typical sections of the standard sample plot shall be taken;
The coordinates of the standard sample plot and its typical section shall be indicated on the agricultural land grading unit map. 8
Preparation
Division of agricultural land grading units
Set up county-level standard sample plots for agricultural land grading
Determine the factors for agricultural land grading
Compile the table of classification and addition (subtraction) rules for classification factors Calculate the grading index
Determine the agricultural land grading standards
Classification of agricultural land
Does the grading result
conform to reality?
Result acceptance
Figure 1 Contents and procedures of statutory grading of agricultural land sample plots 6.3.4 Determine grading factors
6.3.4.1 Principles
a) The indicators of grading factors should be significantly different within the grading work area; b) Grading factors should be determined by crops.
6.3.4.2 Method
TD/T 1005—2003
According to the actual situation, according to the major crops from Table A.1, respectively select agricultural land classification factors. When the factors in Table A.1 cannot meet the needs, they can be supplemented.
See 6.1.1 for the selection method.
6.3.4.3 Factor characteristic value survey
a) The survey should be conducted unit by unit and factor by factor in each township, and the form should be filled in and registered. The form style is shown in Table A.5 and Table A.6; the factor characteristic values are obtained from the existing land use, soil, landform and other data. If the existing data cannot meet the needs, a supplementary field survey should be conducted;
When investigating the factor characteristic values, the yield data of the classification unit in the past three years should be collected. Where conditions permit, the measured yield data should be used;
See Appendix C for the specific requirements of the survey.
6.3.5 Compile factor classification and scoring rule table
6.3.5.1 Factor classification
The classification of classification factors should be 3 to 6 levels. There are two classification methods: based on experimental or measured data, establish the functional relationship between the classification factors and the crop yield level, determine the number of factor classifications and a)
the upper and lower limits of each level;
Use empirical methods to determine the number of factor classifications and the upper and lower limits of each level. b)
6.3.5.2 Compile the standard plot characteristic score table 9
TD/T 1005—2003
The standard plot with the best comprehensive agricultural production conditions is defined as standard plot No. 1, and its score is set at 100 points. According to the degree of influence of grading factors a)
on agricultural production, 100 points are allocated to each grading factor; b) The scores of grading factors of other standard plots can be determined by comparing with the characteristic values of corresponding factors of standard plot No. 1 according to the classification of grading factors. If the comprehensive characteristics of agricultural land are better than those of standard plot No. 1 during the comparison process, the number and score of the standard plot should be adjusted;
c) Fill in the results in the table. The table style is shown in Table A.7. 6.3.5.3 Compile the scoring rules for grading factors. There are two ways to determine the score of each level of each factor: a) arithmetic difference method. For specific methods, please refer to the "soil thickness" scoring rules in Table A.8; b) non-arithmetic difference method. For specific methods, please refer to the "slope" scoring rules in Table A.8. Fill in the determined scoring rules into the table. The table style is shown in Table A.8. 6.3.6 Calculation of grading index
6.3.6.1 Calculation of unit score
Compare the characteristic values of each grading factor of the grading unit with the characteristic values of the standard sample plot, calculate the score of the grading factor according to the scoring rules, and sum the score of each grading factor, and the result is the unit score. 6.3.6.2 Calculation of grading index
The calculation method is shown in formula (7):
H: = F+Zuu
Where:
Grading index of the i-th grading unit;
Corresponding standard sample plot score of the i-th grading unit; F
auThe score of the i-th grading factor in the i-th grading unit. 7 Classification and Verification
Preliminary Classification
Based on the unit grading index, use the equal interval method, the number axis method or the total score frequency curve method to preliminarily classify the land. a) Equal interval method: use the same interval method to classify the land according to the grading index; b) Number axis method: plot the grading index on the number axis and select the place with the fewest points as the class boundary; (7)
Total score frequency curve method: perform frequency statistics on the grading index, draw a frequency histogram, and select the place where the frequency curve suddenly changes as the class c
boundary.
For specific operation steps, please refer to Appendix D.
7.2 Verification
The preliminary classified agricultural land class should be verified. 7.2.1 Verification content
Verify the rationality of the grading unit division, the accuracy of the grading factor selection, and the correctness of the grading result calculation. 7.2.2 Verification method
a) Randomly select no more than 5% of all the graded units for field measurement, and compare the measured results with the graded results. If the number of units that do not match the actual situation is less than 5% of the total number of units selected, the calculated results are considered to be qualified on the whole, but the corresponding contents of the unqualified units should be corrected; if it is greater than 5%, a comprehensive check and correction should be carried out according to the work steps; after the preliminary grading results are completed, the competent department should organize an expert group to conduct demonstration and write a written demonstration opinion, and the responsible unit should make modifications and improvements based on the demonstration opinion;
The preliminary classified agricultural land level should have an obvious positive differential return, otherwise, it should be readjusted and calculated; d) At least two methods should be used to verify the preliminary grading results. 10
7.3 Adjustment and determination of grade
a) For unqualified graded units, recalculation shall be carried out according to the graded procedures; b) The adjustment process shall be recorded in detail and sorted out together with the original calculation data and filed; TD/T1005--2003
The grade of agricultural land that has passed the verification is determined as the agricultural land grade result, and the grade boundary is implemented on the large-scale current situation map, and verified c)
The corresponding land use type and ownership unit
8 Compilation of results
The agricultural land grade results include maps, data, text reports and corresponding electronic documents. 8.1 Compilation of maps
8.1.1 Agricultural land graded maps
Agricultural land graded maps include working base maps, intermediate result maps and agricultural land grade maps. a) Working base map
The working base map for agricultural land classification adopts the current land use map of 1:10000~1:50000. b) Intermediate result map
1) Grading unit map;
2) Grading factor score map;
3) Grading correction coefficient map.
c) Final result map
Agricultural land level map.
8.1.2 Requirements for the compilation of agricultural land level results map8.1.2.1 Scale
The scale of agricultural land level map is 1:10000～1:50000.8.1.2.2 Map elements
Agricultural land level map should be able to directly reflect the quality of agricultural land, and reflect the distribution and area of agricultural land of different levels. The map elements should include:
a) county, township and village administrative boundaries; b) level boundaries;
c) important linear features or obvious features, etc. The map configuration should also include map name, map outline, legend, scale, coordinate system, azimuth coordinates, area summary table, map compilation unit, map compilation time, neighboring area name and boundary, etc.
8.1.2.3 Level Map
When compiling a level map, adjacent level units of the same level should be merged to form a level map, and the map area should not be less than 6mm. 8.1.2.4 Map Content Annotation
Use diagrams, notes, etc. to mark the grading results. The specific requirements are as follows: a) Use Arabic numerals (1, 2, 3...) to indicate the level (level 1, level 2, level 3...); b) Use black solid lines to indicate level boundaries;
Local areas should compile and draw color level maps as needed. Level maps are mainly warm-colored, with obvious level color differences and harmonious tones on the map. c)
See Appendix E for the diagram.
8.2 Area Calculation and Statistics
The level area of agricultural land shall be counted according to the map of the current land use survey map and filled in the table. The table style is shown in Table A.9. a)
Break the unit area measurement of the map patch and control it by the map patch area; b)
The area data should be carefully checked, and a statistical ledger should be established and filed. c)
d) The verified and summarized level area should be expressed in hectares, accurate to two decimal places. 112. Compile the standard plot characteristic score table 9
TD/T 1005—2003
The standard plot with the best comprehensive agricultural production conditions is defined as standard plot No. 1, and its score is set at 100 points. According to the degree of influence of grading factors a)
on agricultural production, 100 points are allocated to each grading factor; b) The scores of grading factors of other standard plots can be determined by comparing with the characteristic values of corresponding factors of standard plot No. 1 according to the classification of grading factors. If the comprehensive characteristics of agricultural land are better than those of standard plot No. 1 during the comparison process, the number and score of the standard plot should be adjusted;
c) Fill in the results in the table. The table style is shown in Table A.7. 6.3.5.3 Compile the scoring rules for grading factors. There are two ways to determine the score of each level of each factor: a) arithmetic difference method. For specific methods, please refer to the "soil thickness" scoring rules in Table A.8; b) non-arithmetic difference method. For specific methods, please refer to the "slope" scoring rules in Table A.8. Fill in the determined scoring rules into the table. The table style is shown in Table A.8. 6.3.6 Calculation of grading index
6.3.6.1 Calculation of unit score
Compare the characteristic values of each grading factor of the grading unit with the characteristic values of the standard sample plot, calculate the score of the grading factor according to the scoring rules, and sum the score of each grading factor, and the result is the unit score. 6.3.6.2 Calculation of grading index
The calculation method is shown in formula (7):
H: = F+Zuu
Where:
Grading index of the i-th grading unit;
Corresponding standard sample plot score of the i-th grading unit; F
auThe score of the i-th grading factor in the i-th grading unit. 7 Classification and Verification
Preliminary Classification
Based on the unit grading index, use the equal interval method, the number axis method or the total score frequency curve method to preliminarily classify the land. a) Equal interval method: use the same interval method to classify the land according to the grading index; b) Number axis method: plot the grading index on the number axis and select the place with the fewest points as the class boundary; (7)
Total score frequency curve method: perform frequency statistics on the grading index, draw a frequency histogram, and select the place where the frequency curve suddenly changes as the class c
boundary.
For specific operation steps, please refer to Appendix D.
7.2 Verification
The preliminary classified agricultural land class should be verified. 7.2.1 Verification content
Verify the rationality of the grading unit division, the accuracy of the grading factor selection, and the correctness of the grading result calculation. 7.2.2 Verification method
a) Randomly select no more than 5% of all the graded units for field measurement, and compare the measured results with the graded results. If the number of units that do not match the actual situation is less than 5% of the total number of units selected, the calculated results are considered to be qualified on the whole, but the corresponding contents of the unqualified units should be corrected; if it is greater than 5%, a comprehensive check and correction should be carried out according to the work steps; after the preliminary grading results are completed, the competent department should organize an expert group to conduct demonstration and write a written demonstration opinion, and the responsible unit should make modifications and improvements based on the demonstration opinion;
The preliminary classified agricultural land level should have an obvious positive differential return, otherwise, it should be readjusted and calculated; d) At least two methods should be used to verify the preliminary grading results. 10
7.3 Adjustment and determination of grade
a) For unqualified graded units, recalculation shall be carried out according to the graded procedures; b) The adjustment process shall be recorded in detail and sorted out together with the original calculation data and filed; TD/T1005--2003
The grade of agricultural land that has passed the verification is determined as the agricultural land grade result, and the grade boundary is implemented on the large-scale current situation map, and verified c)
The corresponding land use type and ownership unit
8 Compilation of results
The agricultural land grade results include maps, data, text reports and corresponding electronic documents. 8.1 Compilation of maps
8.1.1 Agricultural land graded maps
Agricultural land graded maps include working base maps, intermediate result maps and agricultural land grade maps. a) Working base map
The working base map for agricultural land classification adopts the current land use map of 1:10000~1:50000. b) Intermediate result map
1) Grading unit map;
2) Grading factor score map;
3) Grading correction coefficient map.
c) Final result map
Agricultural land level map.
8.1.2 Requirements for the compilation of agricultural land level results map8.1.2.1 Scale
The scale of agricultural land level map is 1:10000～1:50000.8.1.2.2 Map elements
Agricultural land level map should be able to directly reflect the quality of agricultural land, and reflect the distribution and area of agricultural land of different levels. The map elements should include:
a) county, township and village administrative boundaries; b) level boundaries;
c) important linear features or obvious features, etc. The map configuration should also include map name, map outline, legend, scale, coordinate system, azimuth coordinates, area summary table, map compilation unit, map compilation time, neighboring area name and boundary, etc.
8.1.2.3 Level Map
When compiling a level map, adjacent level units of the same level should be merged to form a level map, and the map area should not be less than 6mm. 8.1.2.4 Map Content Annotation
Use diagrams, notes, etc. to mark the grading results. The specific requirements are as follows: a) Use Arabic numerals (1, 2, 3...) to indicate the level (level 1, level 2, level 3...); b) Use black solid lines to indicate level boundaries;
Local areas should compile and draw color level maps as needed. Level maps are mainly warm-colored, with obvious level color differences and harmonious tones on the map. c)
See Appendix E for the diagram.
8.2 Area Calculation and Statistics
The level area of agricultural land shall be counted according to the map of the current land use survey map and filled in the table. The table style is shown in Table A.9. a)
Break the unit area measurement of the map patch and control it by the map patch area; b)
The area data should be carefully checked, and a statistical ledger should be established and filed. c)
d) The verified and summarized level area should be expressed in hectares, accurate to two decimal places. 112. Compile the standard plot characteristic score table 9
TD/T 1005—2003
The standard plot with the best comprehensive agricultural production conditions is defined as standard plot No. 1, and its score is set at 100 points. According to the degree of influence of grading factors a)
on agricultural production, 100 points are allocated to each grading factor; b) The scores of grading factors of other standard plots can be determined by comparing with the characteristic values of corresponding factors of standard plot No. 1 according to the classification of grading factors. If the comprehensive characteristics of agricultural land are better than those of standard plot No. 1 during the comparison process, the number and score of the standard plot should be adjusted;
c) Fill in the results in the table. The table style is shown in Table A.7. 6.3.5.3 Compile the scoring rules for grading factors. There are two ways to determine the score of each level of each factor: a) arithmetic difference method. For specific methods, please refer to the "soil thickness" scoring rules in Table A.8; b) non-arithmetic difference method. For specific methods, please refer to the "slope" scoring rules in Table A.8. Fill in the determined scoring rules into the table. The table style is shown in Table A.8. 6.3.6 Calculation of grading index
6.3.6.1 Calculation of unit score
Compare the characteristic values of each grading factor of the grading unit with the characteristic values of the standard sample plot, calculate the score of the grading factor according to the scoring rules, and sum the score of each grading factor, and the result is the unit score. 6.3.6.2 Calculation of grading index
The calculation method is shown in formula (7):
H: = F+Zuu
Where:
Grading index of the i-th grading unit;
Corresponding standard sample plot score of the i-th grading unit; F
auThe score of the i-th grading factor in the i-th grading unit. 7 Classification and Verification
Preliminary Classification
Based on the unit grading index, use the equal interval method, the number axis method or the total score frequency curve method to preliminarily classify the land. a) Equal interval method: use the same interval method to classify the land according to the grading index; b) Number axis method: plot the grading index on the number axis and select the place with the fewest points as the class boundary; (7)
Total score frequency curve method: perform frequency statistics on the grading index, draw a frequency histogram, and select the place where the frequency curve suddenly changes as the class c
boundary.
For specific operation steps, please refer to Appendix D.
7.2 Verification
The preliminary classified agricultural land class should be verified. 7.2.1 Verification content
Verify the rationality of the grading unit division, the accuracy of the grading factor selection, and the correctness of the grading result calculation. 7.2.2 Verification method
a) Randomly select no more than 5% of all the graded units for field measurement, and compare the measured results with the graded results. If the number of units that do not match the actual situation is less than 5% of the total number of units selected, the calculated results are considered to be qualified on the whole, but the corresponding contents of the unqualified units should be corrected; if it is greater than 5%, a comprehensive check and correction should be carried out according to the work steps; after the preliminary grading results are completed, the competent department should organize an expert group to conduct demonstration and write a written demonstration opinion, and the responsible unit should make modifications and improvements based on the demonstration opinion;
The preliminary classified agricultural land level should have an obvious positive differential return, otherwise, it should be readjusted and calculated; d) At least two methods should be used to verify the preliminary grading results. 10
7.3 Adjustment and determination of grade
a) For unqualified graded units, recalculation shall be carried out according to the graded procedures; b) The adjustment process shall be recorded in detail and sorted out together with the original calculation data and filed; TD/T1005--2003
The grade of agricultural land that has passed the verification is determined as the agricultural land grade result, and the grade boundary is implemented on the large-scale current situation map, and verified c)
The corresponding land use type and ownership unit
8 Compilation of results
The agricultural land grade results include maps, data, text reports and corresponding electronic documents. 8.1 Compilation of maps
8.1.1 Agricultural land graded maps
Agricultural land graded maps include working base maps, intermediate result maps and agricultural land grade maps. a) Working base map
The working base map for agricultural land classification adopts the current land use map of 1:10000~1:50000. b) Intermediate result map
1) Grading unit map;
2) Grading factor score map;
3) Grading correction coefficient map.
c) Final result map
Agricultural land level map.
8.1.2 Requirements for the compilation of agricultural land level results map8.1.2.1 Scale
The scale of agricultural land level map is 1:10000～1:50000.8.1.2.2 Map elements
Agricultural land level map should be able to directly reflect the quality of agricultural land, and reflect the distribution and area of agricultural land of different levels. The map elements should include:
a) county, township and village administrative boundaries; b) level boundaries;
c) important linear features or obvious features, etc. The map configuration should also include map name, map outline, legend, scale, coordinate system, azimuth coordinates, area summary table, map compilation unit, map compilation time, neighboring area name and boundary, etc.
8.1.2.3 Level Map
When compiling a level map, adjacent level units of the same level should be merged to form a level map, and the map area should not be less than 6mm. 8.1.2.4 Map Content Annotation
Use diagrams, notes, etc. to mark the grading results. The specific requirements are as follows: a) Use Arabic numerals (1, 2, 3...) to indicate the level (level 1, level 2, level 3...); b) Use black solid lines to indicate level boundaries;
Local areas should compile and draw color level maps as needed. Level maps are mainly warm-colored, with obvious level color differences and harmonious tones on the map. c)
See Appendix E for the diagram.
8.2 Area Calculation and Statistics
The level area of agricultural land shall be counted according to the map of the current land use survey map and filled in the table. The table style is shown in Table A.9. a)
Break the unit area measurement of the map patch and control it by the map patch area; b)
The area data should be carefully checked, and a statistical ledger should be established and filed. c)
d) The verified and summarized level area should be expressed in hectares, accurate to two decimal places. 112 Verification method
a) Randomly select no more than 5% of all the graded units for field measurement, and compare the measured results with the graded results. If the number of units that do not match the actual situation is less than 5% of the total number of units selected, the calculated results are considered to be qualified on the whole, but the corresponding contents of the unqualified units should be corrected; if it is greater than 5%, a comprehensive check and correction should be carried out according to the work steps; after the preliminary grading results are completed, the competent department should organize an expert group to conduct demonstration and write a written demonstration opinion, and the responsible unit should make modifications and improvements based on the demonstration opinion;
The preliminary divided agricultural land level should have an obvious positive differential return, otherwise, it should be readjusted and calculated; d) At least two methods should be used to verify the preliminary grading results. 10
7.3 Adjustment and determination of grade
a) For unqualified graded units, recalculation shall be carried out according to the graded procedures; b) The adjustment process shall be recorded in detail and sorted out together with the original calculation data and filed; TD/T1005--2003
The grade of agricultural land that has passed the verification is determined as the agricultural land grade result, and the grade boundary is implemented on the large-scale current situation map, and verified c)
The corresponding land use type and ownership unit
8 Compilation of results
The agricultural land grade results include maps, data, text reports and corresponding electronic documents. 8.1 Compilation of maps
8.1.1 Agricultural land graded maps
Agricultural land graded maps include working base maps, intermediate result maps and agricultural land grade maps. a) Working base map
The working base map for agricultural land classification adopts the current land use map of 1:10000~1:50000. b) Intermediate result map
1) Grading unit map;
2) Grading factor score map;
3) Grading correction coefficient map.
c) Final result map
Agricultural land level map.
8.1.2 Requirements for the compilation of agricultural land level results map8.1.2.1 Scale
The scale of agricultural land level map is 1:10000～1:50000.8.1.2.2 Map elements
Agricultural land level map should be able to directly reflect the quality of agricultural land, and reflect the distribution and area of agricultural land of different levels. The map elements should include:
a) county, township and village administrative boundaries; b) level boundaries;
c) important linear features or obvious features, etc. The map configuration should also include map name, map outline, legend, scale, coordinate system, azimuth coordinates, area summary table, map compilation unit, map compilation time, neighboring area name and boundary, etc.
8.1.2.3 Level Map
When compiling a level map, adjacent level units of the same level should be merged to form a level map, and the map area should not be less than 6mm. 8.1.2.4 Map Content Annotation
Use diagrams, notes, etc. to mark the grading results. The specific requirements are as follows: a) Use Arabic numerals (1, 2, 3...) to indicate the level (level 1, level 2, level 3...); b) Use black solid lines to indicate level boundaries;
Local areas should compile and draw color level maps as needed. Level maps are mainly warm-colored, with obvious level color differences and harmonious tones on the map. c)
See Appendix E for the diagram.
8.2 Area Calculation and Statistics
The level area of agricultural land shall be counted according to the map of the current land use survey map and filled in the table. The table style is shown in Table A.9. a)
Break the unit area measurement of the map patch and control it by the map patch area; b)
The area data should be carefully checked, and a statistical ledger should be established and filed. c)
d) The verified and summarized level area should be expressed in hectares, accurate to two decimal places. 112 Verification method
a) Randomly select no more than 5% of all the graded units for field measurement, and compare the measured results with the graded results. If the number of units that do not match the actual situation is less than 5% of the total number of units selected, the calculated results are considered to be qualified on the whole, but the corresponding contents of the unqualified units should be corrected; if it is greater than 5%, a comprehensive check and correction should be carried out according to the work steps; after the preliminary grading results are completed, the competent department should organize an expert group to conduct demonstration and write a written demonstration opinion, and the responsible unit should make modifications and improvements based on the demonstration opinion;
The preliminary divided agricultural land level should have an obvious positive differential return, otherwise, it should be readjusted and calculated; d) At least two methods should be used to verify the preliminary grading results. 10
7.3 Adjustment and determination of grade
a) For unqualified graded units, recalculation shall be carried out according to the graded procedures; b) The adjustment process shall be recorded in detail and sorted out together with the original calculation data and filed; TD/T1005--2003
The grade of agricultural land that has passed the verification is determined as the agricultural land grade result, and the grade boundary is implemented on the large-scale current situation map, and verified c)
The corresponding land use type and ownership unit
8 Compilation of results
The agricultural land grade results include maps, data, text reports and corresponding electronic documents. 8.1 Compilation of maps
8.1.1 Agricultural land graded maps
Agricultural land graded maps include working base maps, intermediate result maps and agricultural land grade maps. a) Working base map
The working base map for agricultural land classification adopts the current land use map of 1:10000~1:50000. b) Intermediate result map
1) Grading unit map;
2) Grading factor score map;
3) Grading correction coefficient map.
c) Final result map
Agricultural land level map.
8.1.2 Requirements for the compilation of agricultural land level results map8.1.2.1 ScalebZxz.net
The scale of agricultural land level map is 1:10000～1:50000.8.1.2.2 Map elements
Agricultural land level map should be able to directly reflect the quality of agricultural land, and reflect the distribution and area of agricultural land of different levels. The map elements should include:
a) county, township and village administrative boundaries; b) level boundaries;
c) important linear features or obvious features, etc. The map configuration should also include map name, map outline, legend, scale, coordinate system, azimuth coordinates, area summary table, map compilation unit, map compilation time, neighboring area name and boundary, etc.
8.1.2.3 Level Map
When compiling a level map, adjacent level units of the same level should be merged to form a level map, and the map area should not be less than 6mm. 8.1.2.4 Map Content Annotation
Use diagrams, notes, etc. to mark the grading results. The specific requirements are as follows: a) Use Arabic numerals (1, 2, 3...) to indicate the level (level 1, level 2, level 3...); b) Use black solid lines to indicate level boundaries;
Local areas should compile and draw color level maps as needed. Level maps are mainly warm-colored, with obvious level color differences and harmonious tones on the map. c)
See Appendix E for the diagram.
8.2 Area Calculation and Statistics
The level area of agricultural land shall be counted according to the map of the current land use survey map and filled in the table. The table style is shown in Table A.9. a)
Break the unit area measurement of the map patch and control it by the map patch area; b)
The area data should be carefully checked, and a statistical ledger should be established and filed. c)
d) The verified and summarized level area should be expressed in hectares, accurate to two decimal places. 11
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