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Water pollution in Dianchi remote sensing change analysis

Author: ChenXiaoYong
Tutor: ZhouFeng
School: Kunming University of Science and Technology
Course: Applied Computer Technology
Keywords: Remote sensing of water quality Water Pollution Analysis of the Changes Linear mixed spectrum decomposition model Dianchi Lake
CLC: TP751
Type: Master's thesis
Year: 2009
Downloads: 109
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Abstract


Pollution of Dianchi Lake is a disturbing topic . In this study, remote sensing of water pollution changes analyzed . IS application integration method , the spectral characteristics of the water body variation . Water Extraction . Water environment remote monitoring methods reform . GIS projects to improve efficiency of the analysis of remote sensing of water pollution changes and improve the economics of application , ease of maintenance , and improve GIS remote sensing applications , to promote the efficiency of business processes as the main target . Change analysis of the domestic and international GIS remote sensing of water pollution GIS Integration research focuses on the basic theory underlying GIS software and related industries , disciplines in solving the field problems using GIS , GIS Integration Research . GIS applications integrated method , the spectral characteristics of the water body , and changes in the law . Water Extraction . Water environment remote sensing monitoring methods to study reform . Improve the efficiency of Water Pollution Analysis on the Change of Remote Sensing for GIS projects and improve the economics of the application , and ease of maintenance . From satellite remote sensing images quickly and accurately extract water Water Survey , Water Resources macroeconomic monitoring and wetland conservation has become an important means , but the low resolution of satellite remote sensing data extraction of water used and its application the depth and breadth of severely constrained . Band op characteristics band ( PRWI , ) This study uses empirical model analysis of the distribution of water pollution in Dianchi Lake water quality changes , the band op characteristics band ( PRWI , ) , processed to extract water and residents mixed after image enhancement , in based on the analysis of the spectral characteristics of the water body , water bodies and residents in the near-infrared and shortwave infrared significant differences thematic information extraction of water , using the decision tree model . Visual interpretation and quantitative statistical analysis method to evaluate the extraction results are not the same phase distribution of the pollution of Dianchi Lake . The results show that the mixed linear model of the spectrum in water quality remote sensing applications can fully make use of multispectral remote sensing image data , different water quality water more obviously reflected in remote sensing image analysis of the changes in the water quality of the lake water pollution of inland extract application versatility .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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