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Chengdu University of Technology (成都理工大学) 2021

Key Techniques of Remote Sensing Retrieval of Vegetation Eco-water in Western Sichuan Plateau

雷俊杰

Titre : Key Techniques of Remote Sensing Retrieval of Vegetation Eco-water in Western Sichuan Plateau

Auteur : 雷俊杰

Grade : Doctoral Dissertation 2021

Université : Chengdu University of Technology (成都理工大学)

Résumé partiel
The coupling of vegetation and hydrological cycle is the core issue of the international geosphere biosphere project"Biological Aspect of Hydrological Cycle",and it is also the research difficulty of ecological hydrology.In the research of ecological hydrology,vegetation eco-water(layer)is an important part of hydrological cycle.Vegetation eco-water includes the water storage of vegetation itself and the water storage of vegetation root soil vegetation atmosphere interface plays a key role in the process of material exchange and circulation.Scientific estimation of vegetation eco-water is of great scientific significance for fully understanding the transmission mechanism and law between vegetation soil atmosphere water.Remote sensing technology provides an important means for quantitative retrieval of vegetation eco-water at regional scale.However,it is difficult to accurately retrieve vegetation eco-water from a single remote sensing data source.How to coordinate multi-source remote sensing data and scientifically and effectively improve the estimation accuracy of vegetation eco-water is a key technical problem to be solved.Based on the National Natural Science Foundation of China(41671432)and the Sichuan Natural Resources Department Project(KJ-2020-05),the research area of Sichuan Plateau is rich in water resources.Based on the advantages of optical,SAR and Li DAR remote sensing,this paper quantitatively inverses and analyzes the vegetation eco-water under the stress of 5·12 Wenchuan earthquake in the Western Sichuan Plateau during the wet dry season,in order to enrich the quantitative study of vegetation eco-water and reveal the effect of vegetation ecological hydrology.

Mots clés : Vegetation Eco-water ;Multi Source Remote Sensing ;Quantitative Inversion ;Western Sichuan Plateau ;

Présentation (CNKI)

Page publiée le 17 février 2022