Unmanned-aerial-vehicle hyperspectral inversion based monitoring method of heavy metal pollution in soil

Abstract

The invention relates to the field of detection of heavy metal pollution in soil , in particular to an unmanned-aerial-vehicle hyperspectral inversion based monitoring method of heavy metal pollution in soil. The method is characterized by including: field sampling; sample pretreatment; using an x-ray fluorescence analyzer to collect content of main research elements of heavy metal pollution sources of samples; using a field spectrometer to collect laboratory hyperspectral reflectance of the samples; performing data processing on original spectral reflectance data; performing correlation analysis on measured content of the main research elements respectively with laboratory hyperspectral original reflectance data, reciprocal, logarithms, first derivative data and second derivative data with a partial least squares regression algorithm and verification and modification on models to acquire an optimal transformation method, using an unmanned aerial vehicle equipped with a hyperspectral imaging spectrometer to collect research-area hyperspectral reflectance data as to-be-measured data, and performing extensive inversion of the heavy metal content. The unmanned-aerial-vehicle hyperspectral inversion based monitoring method has the advantages of large range detachable, non-invasive and non-contact quick sample detection and the like.

Description

technical field [0001] The invention relates to the field of detection of heavy metal pollution in soil, in particular to a method for monitoring heavy metal pollution in soil based on unmanned aerial vehicle hyperspectral inversion. Background technique [0002] Soil heavy metal pollution refers to human activities, the content of trace metal elements in the soil exceeds the background value, and the excessive content caused by excessive deposition is collectively referred to as soil heavy metal pollution. Soil heavy metals refer to the phenomenon that human activities add metals to the soil, causing the heavy metals in the soil to be significantly higher than the original content, and resulting in the deterioration of the quality of the ecological environment. Farmland soil is the natural environment for the survival of various food crops, and its ecological environment has always been a hot spot in environmental science research. With the overall rapid advancement of ind...

AI Technical Summary

Problems solved by technology

However, since the content of heavy metals in the soil is generally relatively small, their influence on the spectral curve is very subtle, and a more accurate pollution situation cannot be obtained by directly analyzing the spectral curve.

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