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Water stress monitoring using NDWI around deserts of China and Mongolia

机译:使用NDWI在中国和蒙古沙漠周围进行水压力监测

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The fluctuation of vegetation water condition around desert area is one of most important parameters to interpret the desertification expansion. United Nations reported that about 35 million square kilometers of land are subject to desertification. Historically, many parts of China have been suffered from severe desertification. This paper attempts an analysis for spatio-temporal variation characteristics of vegetation drought status around China and Mongolia desert with remotely sensed data. Time series images (1 January, 1999-31 December 2006) obtained from SPOT/VEGETATION were used to monitor inter-annual variability of water condition. SPOT/VEGETATION satellite, which has a fine temporal resolution and sensitive to vegetation growth, could be very useful to detect large scale dynamics of environmental changes and desertification progress. The main objective of the study is analyzing water status around China and Mongolia desert and predicting a risk area of desertification. In this study, NDWI (Normalized Difference Water Index) is used to monitor vegetation water condition (drought status) over the study area. To interpret the relationship between vegetation drought status and vigor, NDVI (Normalized Difference Vegetation Index) was employed in ensemble with NDWI. Annual total precipitation from NCEP/NCAR reanalysis data is used as subsidiary data. 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 and whole Mongolia. NDWI value around desert has a range from -0.05 to -0.35 and NDWI values are decreased during the study period. Each year precipitation patterns are similar to yearly mean NDWI value. The study detected several areas where NDWI is dramatically decreased for 8 years, especially northeast part of Mongolian Gobi desert and southeast part of China Taklamakan desert.
机译:荒漠地区植被水分状况的变化是解释荒漠化扩展最重要的参数之一。联合国报告说,约有3500万平方公里的土地处于沙漠化之中。从历史上看,中国许多地方遭受了严重的荒漠化。本文试图利用遥感数据分析中国和蒙古沙漠周围植被干旱状况的时空变化特征。从SPOT / VEGETATION获得的时间序列图像(1999年1月1日至2006年12月31日)用于监测水状况的年际变化。 SPOT / VEGETATION卫星具有良好的时间分辨率并且对植被生长敏感,对于检测环境变化和荒漠化进程的大规模动态非常有用。该研究的主要目的是分析中国和蒙古沙漠周围的水状况并预测荒漠化的危险区域。在这项研究中,NDWI(归一化差水指数)用于监测研究区域内的植被水分状况(干旱状况)。为了解释植被干旱状况与活力之间的关系,将NDVI(归一化植被指数)与NDWI结合使用。来自NCEP / NCAR再分析数据的年度总降水量用作辅助数据。中国北方和整个蒙古的研究区域为东经73°36'至东经120°41',北纬30°81'至北纬52°13'。在研究期间,沙漠周围的NDWI值范围为-0.05至-0.35,并且NDWI值降低。每年的降水模式都类似于年均NDWI值。该研究发现了NDWI在8年中急剧下降的几个区域,尤其是蒙古戈壁沙漠的东北部和中国的塔克拉玛干沙漠的东南部。

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