基于MODIS数据的西藏荒漠化遥感监测研究
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引用本文:拉巴,扎西欧珠,白玛央宗,等..基于MODIS数据的西藏荒漠化遥感监测研究[J].气象与环境科学,2019,42(4):39-46.La Ba,Zhaxi Ouzhu,Baima Yangzong,et al..Study on Remote Sensing Monitoring of Desertification in Tibet Based on MODIS Data[J].Meteorological and Environmental Sciences,2019,42(4):39-46.
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拉巴,扎西欧珠,白玛央宗,等.  
DOI:doi:10.16765/j.cnki.1673-7148.2019.04.007
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中文摘要:基于MODIS卫星NDVI产品构建了西藏荒漠化监测模型,利用该模型分析了2000-2017年全区荒漠化时空分布特征和趋势变化,并利用实地调查的植被覆盖度及影像资料进行模型验证。结果表明:近18年来西藏主要以中度荒漠化土地为主,占全区面积的37.68%,非荒漠化区域面积占28.65%,轻度和重度荒漠区面积分别占全区面积的13.20%和12.64%。全区荒漠化总体趋势属微弱改善状态,继续退化区域主要集中在西藏中部,包括那曲地区东南部,拉萨市大部,日喀则市东部和山南市北部。阿里地区大部和那曲地区北部属改善区。整体上全区荒漠化态势以稳定为主,占45.79%。改善和退化区域面积分别占23.58%和22.52%。构建的荒漠化指数与实测植被覆盖度呈负相关关系,判定系数R2=0.52(P<0.05),表明实测样本与模型结果总体上趋于一致,反演模型可以作为研究区土地荒漠化监测方法。
中文关键词:西藏  荒漠化  NDVI  荒漠化指数
 
Study on Remote Sensing Monitoring of Desertification in Tibet Based on MODIS Data
Abstract:Based on the MODIS satellite NDVI product, the Tibet desertification monitoring model is constructed, which is used to analyze the temporal and spatial distribution characteristics and trend changes of desertification in the Tibet region from 2000 to 2017. Meanwhile, the model is verified by the vegetation coverage and image data from field investigation. The result indicates that moderate desertification area, which accounts for 37.68% of the total area,is the major land cover in the past 18 years over the Tibet region. The non desertification area is 28.65% and the area of mild and severe deserts are about 13.20% and 12.64% separately of the region. Generally, the overall trend of desertification in the whole region has been slightly improved, and the continuing degradation areas are mainly concentrated in the central part of Tibet, including the southeast of Naqu area, most of Lhasa City, the east of Shikaze City and the northern part of Shannan City. However, most of Ngari region and the north of Naqu region belong to the improvement part. On the whole, the desertification situation in the whole region is stable with the percentage of 45.79%. The areas of improvement and degradation are 23.58% and 22.52% of the total study area, respectively. In addition,the constructed desertification index is negatively correlated with the observed vegetation coverage. The determination coefficient R2=0.52(P<0.05) indicates that the observation tends to be consistent with the model output, so the inversion model could be used as a monitoring method for land desertification in Tibet region.
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