摘要
用遥感技术监测荒漠化进程是中国及世界其它干旱和半干旱地区的一项重要任务.采用2002年MODIS1km的全年NDVI时序数据对新疆及周边地区进行了土地覆盖分类.在此过程中重点强调了稀疏植被覆盖区域,这些区域具有潜在荒漠化的趋势.介绍了一种针对不同土地覆盖类型并能重点突出稀疏植被的分类方法,这种方法较好地综合了季节性影响因素和多变的自然条件影响因素.研究结果表明新疆及周边地区24万km2的土地有潜在荒漠化的趋势.
Detecting desertification by using remote sensing is an important task for China and other semi - arid and arid areas in the world. In this study, MODIS 1 km NDVI time series data of 2002 were used to classify land cover type in Xinjiang province and surrounding regions. During the classification, sparse areas, which are the areas at risk of desertification, are emphasized. A classification method, which is adapted to various land cover type and makes sparse vegetation emphasis, is introduced. This method better synthesizes seasonal influence factors and variable factors of natural conditions. Research results indicate that 0.24 million km^2 in Xinjiang and surrounding regions are potential desertification regions.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2007年第6期456-460,共5页
Journal of Infrared and Millimeter Waves
基金
国家重点基础研究发展规划(2007CB714406)
中国科学院知识创新工程重要方向(KZCX2-YW-313)
遥感科学国家重点实验室科研基金(KQ060006)资助项目