基于多源遥感数据的玛纳斯河流域荒漠化监测

The Monitoring of Land Desertification in the Manasi River Basin Based on Multi-source Remotely Sensed Data

利用遥感手段对玛纳斯河流域绿洲-荒漠带的荒漠化状况进行监测。利用不同时期TM数据，在小尺度上分析该区域2000～2008年荒漠化土地的分布特征；基于MODIS陆地遥感产品（NDVI、Albedo及LST），利用多源信息复合法计算荒漠化程度指数；基于TM荒漠化监测结果对该指数进行分级处理，初步建立并验证基于MODIS数据的荒漠化监测评价模型。结果表明：近10a来，绿洲外围荒漠化土地变化较小，大部分变化发生在绿洲内部，主要为局部荒漠化被开发或因盐碱化过重导致的撂荒；荒漠化监测评价模型对研究区荒漠化程度定量评价精度可达91．25％。

With the zone of oasis and deserts in the Manias River basin as the study object, the authors used different periods of TM data to analyze the patio - temporal features of land desertification at a small scale during the period of 2000 - 2008, and theft calculated indexes of wind - eroded land desertification by using the multi - source information compounding method based on the MODIS data products （NDVI, Albode, LST）. Meanwhile, on the basis of the TM land desertification monitoring results, land desertification indexes were processed at different levels, and an assessment model for land desertification monitoring past ten years, desertification land in the periphery area has not c was built approximately. It is shown that, in the hanged remarkably, while desertification land in the interior of the basin has experienced considerable change, which seems largely caused by local land cultivation or salinization. The experimental results show that a precision of 91.25% can be reached in quantitative assessment of land desertification.