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Xinjiang Agricultural University (新疆农业大学) 2021

Study on the Evolution of Vegetation Coverage and Evapotranspiration in Oasis Irrigation Area Based on Remote Sensing

麦麦提吐逊·麦麦提

Titre : Study on the Evolution of Vegetation Coverage and Evapotranspiration in Oasis Irrigation Area Based on Remote Sensing

Auteur : 麦麦提吐逊·麦麦提

Grade : Master 2021

Université : Xinjiang Agricultural University (新疆农业大学)

Résumé partiel
Oasis,as a desert and semi-desert area,has both natural and human characteristics.Vegetation is an important part of the oasis ecosystem and environment.Surface evapotranspiration is one of the important links in the recycling and distribution of oasis water resources.Constrained by various conditions such as regional climate change,human activities,soil quality,topography,and water resources,vegetation coverage and evapotranspiration evolution laws can reflect the overall status of the regional ecological environment quality.This paper takes Shule County as the research area,based on the 6th Landsat series(TM/ETM+/OLI)remote sensing image data from 1995 to 2020,using NDVI pixel binary model and SEBAL model to efficiently save water in Shule County and its farmland.Research on the evolution of vegetation coverage and daily evapotranspiration before and after reconstruction.The main conclusions are as follows :(1)From 1995 to 2020,the vegetation increase in Shule County was generally carried out by the method of infilling and peripheral expansion with high vegetation coverage.In the past 26 years,the vegetation coverage area has shown an increasing trend,and the increase in cultivated land area is the main reason for the increase in vegetation coverage in Shule County.In 2005,the total vegetation coverage area was the smallest(1149.5 km2),and in 2020,the total vegetation coverage area was the largest(1574.6 km2),an increase of 425.1 km2,an increase of 37.0%.The average vegetation coverage and the average NDVI both show a gradual upward trend,and the rising rates from 1995 to 2020 are 55.4%and 115.4%,respectively.

Mots clés : Vegetation coverage ;NDVI;pixel binary model ;evapotranspiration;SEBAL model ;Shule County ;efficient water saving ;

Présentation (CNKI)

Page publiée le 10 mars 2022