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ANALYSIS OF SEASONAL AND ANNUAL CHANGE OF VEGETATION IN THE INDIAN THAR DESERT USING MODIS DATA

机译:用MODIS数据分析印度丘陵植被植被的年度变化

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The western part of India, specifically the dry region, will play an important role in determining the Indian monsoon and even global climate patterns. Drastically change in land use pattern of the region has been observed during last few decades. In this paper, an effort was made to track the seasonal as well as annual changes of vegetation pattern in Jaisalmer district using MODIS normalized difference vegetation index (NDVI) products. Apart from this, ground data on vegetation were also collected under vegetation ca rbon pool assessment programme of ISRO-IGBP. It was fo und that during the hot summer month of May, the area under NDVI class 0-0.1 is reduced from 98% during 2003 to 95% during 2009 with a simultaneous increase in area under NDVI class 0.1-0.2 from 2 to 5%. During the month of September, area under NDVI class 0.2-0.3 increased from almost negligible during May to 34-39% during normal or surplus rainfall year but only to 3% during a deficit year. From the ground data on vegetation biomass, it was found that Prosopis juliflora and Acacia senegal are the most abundant trees in Jaisalmer region of the desert. The sites with NDVI value ≥ 0.2 were mostly found with Prosopis juliflora tree. Among shrubs, the most abundant species was Calotropis procera and Zizyphus numularia. From this study, it has been found that MODIS NDVI products may be used to quickly assess the vegetation changes in response to rainfall as well as due to anthroprogenic interventions in desert.
机译:印度西部,特别是干旱地区,将在确定印度季风甚至全球气候模式方面发挥重要作用。在过去的几十年中,已经观察到该地区的土地利用模式的大幅变化。在本文中,努力跟踪季节性以及使用MODIS归一化差异植被指数(NDVI)产品的Jaisalmer区植被模式的年度变化。除此之外,还在ISRO-IGBP植被CA Rbon Pool评估计划下收集了植被的地面数据。在5月炎热的夏季,NDVI级别0-0.1下的面积在2003年期间的98%下降到2009年的98%,在NDVI级别下的同时增加了2-5% 。在9月份,NDVI级别下的区域0.2-0.3在正常或盈余的降雨年度在正常或剩余降雨期间几乎可以忽略于34-39%,但在赤字年份仅为3%。从地面数据到植被生物量,发现ProsoPis Juliflora和Acacia Senegal是沙漠斋沙默尔地区最丰富的树木。具有NDVI值≥0.2的网站主要发现ProsoPis Juliflora树。在灌木丛中,最丰富的物种是Calotropis Procera和Zizyphus Quotia。从本研究开始,已经发现MODIS NDVI产品可用于快速评估植被变化,以应对降雨以及由于沙漠中的人们人工学干预措施。

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