Soil moisture reflection spectrum characteristic analysis method

Abstract

The invention relates to a soil moisture reflection spectrum characteristic analysis method which determines the high spectrum reflectivity of soil samples with different moisture content by preparing a plurality of soil samples with corresponding moisture contents and analyzes the relation between the soil reflection spectrum and the moisture content. The invention realizes precise match between the soil sample moisture content and soil sample high spectrum reflectivity and guarantees accurate analysis result about the soil moisture reflection spectrum characteristics.

Description

technical field [0001] The invention relates to a method for accurately measuring the correlation relationship between soil water content and reflectance in the analysis of soil water spectral characteristics, in particular to a soil water reflection spectral characteristic analysis method. Background technique [0002] Quickly obtaining the spatio-temporal information of soil moisture is of great significance for agriculture, hydrology, geography and other fields. At the same time, the decomposition of mixed pixels of remote sensing images and remote sensing monitoring of other soil attributes require understanding the influence of soil moisture on soil spectral reflectance. Soil spectral reflectance is a comprehensive reflection of the spectral behavior of soil intrinsic physical and chemical properties, so remote sensing technology has broad application prospects in the rapid acquisition of soil moisture spatiotemporal information. Although some studies have pointed out t...

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Problems solved by technology

There are three problems with this method: First, due to the oversaturation of the soil sample, this method artificially causes soil moisture to damage the physical structure of the tested soil sample. In fact, the physical properties such as porosity of soils with different water contents are different. , the spectral reflectance of soil samples with different physical structures is also different, resulting in human error; second, cracks will appear in the soil samples during the drying process, which affects the accuracy of spectral reflectance; third, in the process of natural drying, the container edge ratio The center and the soil surface dries faster than the lower part, and the water loss between the edge of the container and the center, and the soil surface and the lower part is not synchronized, resulting in a large difference between the local and overall soil water content. At this time, the water content obtained by weighing method and There is a large error in the spectral reflectance information of the soil surface measured by the instrument, so the water content obtained at this time does not correspond accurately to its spectral reflectance, which affects the spectral analysis results

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