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基于越南遥感时间序列数据的湄公河三角洲土地利用及河岸变化检测研究
引用本文:阮林道,范巴赫,闵阮青,潘麦黎,蓬晃披.基于越南遥感时间序列数据的湄公河三角洲土地利用及河岸变化检测研究[J].资源与生态学报(英文版),2011(4):370-374.
作者姓名:阮林道  范巴赫  闵阮青  潘麦黎  蓬晃披
作者单位:越南胡志明市资源地理研究所GIS与遥感研究中心;
摘    要:通过采用先进的遥感技术,基于光学和雷达时间序列卫星影像(陆地卫星,SPOT和雷达卫星),本文对金瓯半岛(位于湄公河三角洲南部)土地覆被变化及湄公河河岸侵蚀情况进行了检测研究。鉴于金瓯半岛典型的土地覆被类型为红树林,通过对1973-2008年红树林遥感影像分析发现,近年来红树林林地面积急剧下降,超过一半的红树林已经转变为虾养殖场。与此同时,检测发现湄公河河岸已经被严重侵蚀,且侵蚀趋势正加速恶化。具体而言,田河和口河的左右两岸被认为是遭受严重侵蚀的热点区域。本文以1966-1968年地形图作为基准线数据,与1989-2009年卫星影像数据进行比照分析,此外采用数字海岸线分析系统(DSAS)模型对未来变化趋势进行了预测。

关 键 词:遥感  变化检测  土地利用  河岸  侵蚀

Change Detection of Land Use and Riverbank in Mekong Delta, Vietnam Using Time Series Remotely Sensed Data
NGUYEN Lam-Dao,VIET Pham-Bach,MINH Nguyen-Thanh,MAI-THY Pham-Thi , PHUNG Hoang-Phi GIS , Remote Sensing Research Center,HCMC Institute of Resources Geography, Mac Dinh Chi St.,Dist. ,Ho Chi Minh City,Vietnam.Change Detection of Land Use and Riverbank in Mekong Delta, Vietnam Using Time Series Remotely Sensed Data[J].Journal of Resources and Ecology,2011(4):370-374.
Authors:NGUYEN Lam-Dao  VIET Pham-Bach  MINH Nguyen-Thanh  MAI-THY Pham-Thi  PHUNG Hoang-Phi GIS  Remote Sensing Research Center  HCMC Institute of Resources Geography  Mac Dinh Chi St  Dist  Ho Chi Minh City  Vietnam
Institution:NGUYEN Lam-Dao*,VIET Pham-Bach,MINH Nguyen-Thanh,MAI-THY Pham-Thi and PHUNG Hoang-Phi GIS and Remote Sensing Research Center,HCMC Institute of Resources Geography,1 Mac Dinh Chi St.,Dist. 1,Ho Chi Minh City,Vietnam
Abstract:By taking the advantages of remote sensing technology, changes of land cover in Ca Mau Peninsular (the Southern part of the Mekong delta) and erosion of riverbank of the Mekong River have been defined. Change detection using time-series optical and radar satellite images (Landsat, SPOT and Radarsat) is the main approach in this study. Typical land cover in Ca Mau Peninsular is mangrove; its changes are observable by analysing imageries from 1973 to 2008. The results showed that more than half of the mangrov...
Keywords:remote sensing  change detection  land use  riverbank  erosion  
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