Grassland comprehensive sequence classification method by using soil hydrothermal conditions

Abstract

The invention provides a grassland comprehensive sequence classification method by using soil hydrothermal conditions, which comprises the steps of data collection, data arrangement, data processing, model construction and type division, and is characterized in that a grassland comprehensive sequence classification method with a quantitative classification advantage is taken as a basis, and the grassland comprehensive sequence classification method with a quantitative classification advantage goes deep into a grassland occurrence level; according to the grassland comprehensive sequence classification method, soil hydrothermal conditions which are closer to grassland vegetation growth are used as classification indexes, remote sensing planar data are used for replacing interpolation of point data, more accurate grassland quantitative classification is carried out, quantitative remote sensing is introduced in grassland comprehensive sequence classification basic unit class division to carry out hydrothermal index improvement, and grassland comprehensive sequence classification is more accurate. The soil hydrothermal condition is used for replacing the atmospheric hydrothermal condition, and the planar data is used for replacing the point-shaped data, so that the application of the quantitative remote sensing technology in grassland classification goes deep into the ontology level, the grassland comprehensive sequence classification precision is improved, and the classification result is closer to the actual situation.

Description

technical field [0001] The invention relates to the field of grassland resource management, in particular to a method for comprehensive sequence classification of grassland by utilizing soil hydrothermal conditions. Background technique [0002] The current grassland classification system is mostly empirical classification, mainly descriptive indicators, less quantitative indicators, so that the classification of grassland types in practice depends on the staff's knowledge, experience and other subjective factors, and it is difficult to objectively and accurately reflect the grassland. The essence of type differentiation, CSCS is in the leading position in the world grassland classification system, and its important contribution is to achieve quantitative classification at the basic unit "class" level. [0003] However, in practical applications, due to data limitations, the problem of substituting points for areas and adjacent habitats for actual habitats has arisen, which ...

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Problems solved by technology

[0002] The current grassland classification system is mostly empirical classification, mainly descriptive indicators, less quantitative indicators, so that the classification of grassland types in practice depends on the staff's knowledge, experience and other subjective factors, and it is difficult to objectively and accurately reflect the grassland. The essence of type differentiation, CSCS is in the leading position in the world grassland classification system, and its important contribution is to achieve quantitative classification at the basic unit "class" level

[0003] However, in practical applications, due to data limitations, the problem of substituting points for areas and adjacent habitats for actual habitats poses challenges to the scientific rigor and practical application of CSCS.

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