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ShanDong University (2021)

Desert Environment Monitoring Using Multi-source Remote Sensing Images Based on Remote Sensing Ecological Index

金佳琦

Titre : Desert Environment Monitoring Using Multi-source Remote Sensing Images Based on Remote Sensing Ecological Index

Auteur : 金佳琦

Grade : Master 2021

Université : ShanDong University

Résumé partiel
With the development of social economy and the acceleration of urbanization,the ecological environment is facing great pressure.The increase of human activities,the destruction of ecological environment and the large-scale desertification of land causing frequent dust weather and even dust storms have seriously affected people’s life.In order to prevent and control land desertification,a series of ecological restoration policies were introduced to control ecological degradation.Ecological environment monitoring using remote sensing technology can dynamically monitor the environmental change in the ecological restoration project,but there is a lack of quantitative evaluation on the degree of ecological restoration and environmental desertification.In this study,the Mu Us Desert was selected as the study area,and Landsat satellite images and MODIS multi-source remote sensing data were used to analyze the ecological and environmental conditions of Mu Us Desert from 2000 to 2020,so as to obtain comprehensive indicators that could represent the environmental conditions for ecological assessment.The main contents and conclusions are as follows:1.The remote sensing ecological index(RSEI)based on the Pressure-State-Response(PSR)framework can reflect the regional ecological environment well but hard in continuous monitoring.In this study,the dryness index and principal component analysis were improved,the soil index was used as the dryness index to establish the model with high accuracy,and the RSEI index was calculated by unifying the direction of eigenvector in the principal component analysis.The improved RSEI model is scientific and accurate.2.From 2000 to 2020,the four ecological indexes,vegetation index and land surface humidity showed an upward trend,while the soil index showed a downward trend.The change of land surface temperature fluctuated greatly and the trend was not obvious.Four indexes are normalized to unify their dimension.The trend of the four ecological indexes after normalization is different from that before normalization.It is considered that the overall distribution of the index has little change and the rise of the average value of the index is the result of the rise of some pixel indexes.Among the four ecological indexes,moisture index and soil index have a high negative correlation.The moisture and dryness of the ecosystem represented by them are opposite,but their specific meaning and ecological information described by them are different.3.The applicability of the vegetation index,humidity index and surface temperature is demonstrated by using the data of MODIS products and meteorological station.It is concluded that the NDVI has a high consistency with the results of MODIS products.The land surface humidity and precipitation show a rising trend in the past 20 years,and there is a high correlation between land surface temperature,MODIS temperature products and average air temperature

Mots clés : Ecological environment monitoring ;Land desertification ;Remote sensing ecological index RSEI ;Principal component analysis ;Factor synthesis score ;

Présentation (CNKI)

Page publiée le 2 novembre 2021