MODIS (moderate resolution imaging spectroradiometer) satellite synchronous monitoring method for cyanobacterial bloom and aquatic vegetation in eutrophic lakes

Abstract

The invention provides an MODIS (moderate resolution imaging spectroradiometer) satellite synchronous monitoring method for cyanobacterial bloom and aquatic vegetation in eutrophic lakes. The MODIS satellite synchronous monitoring method includes combining spectral characteristics of the cyanobacterial bloom, the submerged vegetation and floating-leaf / emergent vegetation with one another on the basis of field measured spectral data and creating alga and grass indexes (AGI); combining turbid water indexes (TWI) and floating alga indexes (FAI) with one another and determining basic classification processes; determining classification thresholds for the AGI, the TWI and the FAI on the basis of historically acquired MODIS satellite data; ultimately completely constructing classification decision trees and synchronously monitoring the cyanobacterial bloom, the submerged vegetation and the floating-leaf / emergent vegetation on MODIS satellite images. Alga-containing water and grass-containing water can be separated from each other by the aid of the alga and grass indexes (AGI). High-turbidity water can be identified by the aid of the turbid water indexes (TWI), and the submerged vegetation and the floating-leaf / emergent vegetation can be differentiated from each other by the aid of the floating alga indexes (FAI). The MODIS satellite synchronous monitoring method has the advantage that interannual and inter-monthly variation laws and spatial distribution of the cyanobacterial bloom, the submerged vegetation and the floating-leaf / emergent vegetation in the eutrophic lakes can be accurately acquired on the basis of the MODIS satellite synchronous monitoring method.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a MODIS satellite high-precision synchronous monitoring method for cyanobacteria blooms and aquatic vegetation in large-scale eutrophic lakes. Background technique [0002] The algal blooms caused by algae blooms are an important feature of lake water eutrophication (Kong Fanxiang and Gao Guang, 2005), and my country has become one of the countries with the most serious outbreaks of cyanobacteria blooms and the widest distribution in the world (Wu Qinglong et al., 2008) . Satellite remote sensing has the characteristics of rapidity, periodicity, and large range, and has become an indispensable technical means for monitoring, forecasting and early warning of cyanobacteria blooms in lakes (Pandel and Ma Ronghua, 2008). Since 2007, satellite remote sensing monitoring of cyanobacterial bloom area in Taihu Lake has basically realized operational operation (Ma Ronghua et al., 20...

AI Technical Summary

Problems solved by technology

At this time, the traditional daily remote sensing monitoring method of cyanobacterial blooms in Taihu Lake will misjudge aquatic plants as cyanobacterial blooms, which seriously affects the daily remote sensing monitoring accuracy of cyanobacterial blooms; in addition, in order to reduce the adverse effects of a large number of aquatic plants on shipping, Relevant local departments will regularly harvest, resulting in artificial changes in the aquatic plant area; in addition, the main dominant aquatic plants in Taihu Lake have different life histories, and the growth period is significantly different, and the temporal and spatial distribution of aquatic plants has significant short-term changes

Based on the above factors, the fixed aquatic plant distinction method can no longer adapt to the temporal and spatial changes of aquatic plants and meet the requirements of high-precision remote sensing monitoring of cyanobacterial blooms.

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