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Xinjiang University (2021)

Research on the Method of Extracting Vegetation Cover Change Based on "3S" Technology in Arid Area

李仁强

Titre : Research on the Method of Extracting Vegetation Cover Change Based on "3S" Technology in Arid Area

Auteur : 李仁强

Grade : Master 2021

Université : Xinjiang University

Résumé partiel
The response to terrene ecosystem is the important part of the current research on global change. Moreover, studying the relationship between vegetation cover and environment evolvement is the most complex and vivacious field. Vegetation plays an important role not only in bio-chemical cycling, but also in water cycling. Vegetation regulates material and energy exchange inside or outside of plant according to the situation of water and gas etc, so it can be seen that vegetation cover and its change is mainly related with environmental change of regional ecosystem。It is very significant for evaluation of ecologic environment and sustainable development of the local agriculture and stock rising to precisely and rapidly monitor the change of vegetation cover of Oasis in arid or semi-arid on large area. Comparing to traditional community research methods, remote sensing technology has undoubted superiority for monitoring vegetation cover in large area. Remote sensing technology has widely been adopted in research field of monitoring vegetation cover change in the past years. This paper systematically studies and reviews the past concerns and research with land cover\use change using remote sensing technology, introduced the basic theory, main methods (vegetation index) and involved research progress for remote sensing application of vegetation study. Taking the Yutian Oasis as an example, we used multitemporal and the same seasonal pattern TM images to study vegetation changes in different years,. First, we obtained an SAVI(Soil Adjusted Vegetation lndex), which is extremely related with terrene vegetation. Then, we extended the SAVI a scale based on 0-255. Finally, we made color components of SAVI data. The research shows that the aspects of color composition maps of multitemporal NDVI data of the Yutian Oasis can give us a clear view of vegetation change in area, for instance , the black or gray parts on the image stand for water, desert and gravel desert. the red and fuchsine parts are degradation vegetation area. The white or hoar parts are the main body of Oasis.

Mots clés : SAVI ;Color components ;HSL;Vegetation change ;keriya Oasis ;

Présentation (CNKI)

Page publiée le 28 février 2022