资源与生态学报(英文版)
資源與生態學報(英文版)
자원여생태학보(영문판)
JOURNAL OF RESOURCES AND ECOLOGY
2011年
4期
370-374
,共5页
阮林道%范巴赫%闵阮青%潘麦黎%蓬晃披
阮林道%範巴赫%閔阮青%潘麥黎%蓬晃披
원림도%범파혁%민원청%반맥려%봉황피
遥感%变化检测%土地利用%河岸%侵蚀
遙感%變化檢測%土地利用%河岸%侵蝕
요감%변화검측%토지이용%하안%침식
remote sensing%change detection%land use%riverbank%erosion
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尉下降,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.
通過採用先進的遙感技術,基于光學和雷達時間序列衛星影像(陸地衛星,SPOT和雷達衛星),本文對金甌半島(位于湄公河三角洲南部)土地覆被變化及湄公河河岸侵蝕情況進行瞭檢測研究.鑒于金甌半島典型的土地覆被類型為紅樹林,通過對1973-2008年紅樹林遙感影像分析髮現,近年來紅樹林林地麵積急尉下降,超過一半的紅樹林已經轉變為蝦養殖場.與此同時,檢測髮現湄公河河岸已經被嚴重侵蝕,且侵蝕趨勢正加速噁化.具體而言,田河和口河的左右兩岸被認為是遭受嚴重侵蝕的熱點區域.本文以1966-1968年地形圖作為基準線數據,與1989-2009年衛星影像數據進行比照分析,此外採用數字海岸線分析繫統(DSAS)模型對未來變化趨勢進行瞭預測.
통과채용선진적요감기술,기우광학화뢰체시간서렬위성영상(륙지위성,SPOT화뢰체위성),본문대금구반도(위우미공하삼각주남부)토지복피변화급미공하하안침식정황진행료검측연구.감우금구반도전형적토지복피류형위홍수림,통과대1973-2008년홍수림요감영상분석발현,근년래홍수림임지면적급위하강,초과일반적홍수림이경전변위하양식장.여차동시,검측발현미공하하안이경피엄중침식,차침식추세정가속악화.구체이언,전하화구하적좌우량안피인위시조수엄중침식적열점구역.본문이1966-1968년지형도작위기준선수거,여1989-2009년위성영상수거진행비조분석,차외채용수자해안선분석계통(DSAS)모형대미래변화추세진행료예측.
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 mangrove area was converted into shrimp farms.This made forest cover severely declined.Riverbank of the Mekong River also was detected to be eroded and accreted in a complicated form.Locations along the left and right banks of Tien and Hau river are defined as hot spots that are seriously suffered erosions.Topographic maps in 1966-1968 were taken into account as base line data,which was analyzed along with satellite images from 1989 to 2009.In addition,the Digital Shoreline Analysis System (DSAS)package was taken to analyze trend of changes in terms of changing prediction.