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Water stress monitoring using NDWI around desertsof China and Mongolia

机译:使用NDWI在中国和蒙古沙漠中使用NDWI的水分胁迫监测

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The fluctuation of vegetation water condition around desert area is one of most important parameters to interpret thedesertification expansion. United Nations reported that about 35 million square kilometers of land are subject todesertification. Historically, many parts of China have been suffered from severe desertification. This paper attempts ananalysis for spatio-temporal variation characteristics of vegetation drought status around China and Mongolia desert withremotely sensed data. Time series images (1 January, 1999 - 31 December 2006) obtained from SPOT/VEGETATIONwere used to monitor inter-annual variability of water condition. SPOT/VEGETATION satellite, which has a finetemporal resolution and sensitive to vegetation growth, could be very useful to detect large scale dynamics ofenvironmental changes and desertification progress. The main objective of the study is analyzing water status aroundChina and Mongolia desert and predicting a risk area of desertification. In this study, NDWI (Normalized DifferenceWater Index) is used to monitor vegetation water condition (drought status) over the study area. To interpret therelationship between vegetation drought status and vigor, NDVI (Normalized Difference Vegetation Index) wasemployed in ensemble with NDWI. Annual total precipitation from NCEP/NCAR reanalysis data is used as subsidiarydata. The study area from 73°36'E to 120°41'E longitude and from 30°81'N to 52°13'N longitude in northern China andwhole Mongolia. NDWI value around desert has a range from -0.05 to -0.35 and NDWI values are decreased during thestudy period. Each year precipitation patterns are similar to yearly mean NDWI value. The study detected several areaswhere NDWI is dramatically decreased for 8years, especially northeast part of Mongolian Gobi desert and southeast partof China Taklamakan desert.
机译:沙漠地区周围植被水状况的波动是解释基因扩张的最重要参数之一。联合国报告说,大约3500万平方公里的土地是追求的。从历史上看,中国许多地区都受到严峻的荒漠化。本文试图对中国和蒙古沙漠植被干旱地位的时空变化特征进行分析。时间序列图像(1999年1月1日至1999年12月31日)从用于监测水分际变异性的地方/植被获得。斑点/植被卫星具有致尘分辨率和对植被生长的敏感,可能非常有用,无法检测到环境变化和荒漠化进展的大规模动态。该研究的主要目的是分析水土地区的水位和蒙古沙漠,并预测荒漠化风险区域。在本研究中,NDWI(归一化差异潜水指数)用于在研究区域监测植被水条件(干旱状况)。解读植被干旱地位与活力的主题,NDVI(归一化差异植被指数)与NDWI合奏播放。 NCEP / NCAR再分析数据的年度总降水用作子公司。该研究面积从73°36的73°420°41的经度和50°81'n在中国北部和52°13'n的经度从北部和蒙古。沙漠周围的NDWI值从-0.05到-0.35到-0.35,在设计期间,NDWI值减少。每年降水模式类似于年均值的NDWI值。该研究检测到几个地区NDWI对于8年来说,尤其是蒙古戈壁沙漠和中国塔克拉姆喀荒漠沙漠东南部的东北部。

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