Remote sensing and geographic information systems techniques in studies on treeline ecotone dynamics  

作　　者：Parveen K.Chhetri Eric Thai 

机构地区：[1]Department of Earth Science and Geography, California State University Dominguez Hills

出　　处：《Journal of Forestry Research》2019年第5期1543-1553,共11页林业研究（英文版）

基　　金：supported by 2014-2019 Title V-PPOHA-#P031M140041;2018/19 AY Faculty RSCA grant at CSU Dominguez Hills for summer funding

摘　　要：We performed a meta-analysis on over 100 studies applying remote sensing(RS)and geographic information systems(GIS)to understand treeline dynamics.A literature search was performed in multiple online databases,including Web of Knowledge(Thomson Reuters),Scopus(Elsevier),BASE(Bielefeld Academic Search Engine),CAB Direct,and Google Scholar using treeline-related queries.We found that RS and GIS use has steadily increased in treeline studies since 2000.Spatialresolution RS and satellite imaging techniques varied from low-resolution MODIS,moderate-resolution Landsat,to high-resolution WorldView and aerial orthophotos.Most papers published in the 1990s used low to moderate resolution sensors such as Landsat Multispectral Scanner and Thematic Mapper,or SPOT PAN(Panchromatic)and MX(Multispectral)RS images.Subsequently,we observed a rise in high-resolution satellite sensors such as ALOS,GeoEye,IKONOS,and WorldView for mapping current and potential treelines.Furthermore,we noticed a shift in emphasis of treeline studies over time:earlier reports focused on mapping treeline positions,whereas RS and GIS are now used to determine the factors that control treeline variation.We performed a meta-analysis on over 100 studies applying remote sensing(RS) and geographic information systems(GIS) to understand treeline dynamics. A literature search was performed in multiple online databases, including Web of Knowledge(Thomson Reuters), Scopus(Elsevier), BASE(Bielefeld Academic Search Engine), CAB Direct, and Google Scholar using treeline-related queries. We found that RS and GIS use has steadily increased in treeline studies since 2000. Spatialresolution RS and satellite imaging techniques varied from low-resolution MODIS, moderate-resolution Landsat, to high-resolution World View and aerial orthophotos. Most papers published in the 1990 s used low to moderate resolution sensors such as Landsat Multispectral Scanner and Thematic Mapper, or SPOT PAN(Panchromatic) and MX(Multispectral) RS images. Subsequently, we observed a rise in high-resolution satellite sensors such as ALOS,Geo Eye, IKONOS, and World View for mapping current and potential treelines. Furthermore, we noticed a shift in emphasis of treeline studies over time: earlier reports focused on mapping treeline positions, whereas RS and GIS are now used to determine the factors that control treeline variation.

关 键 词：Digital ELEVATION model GEOGRAPHIC information systems REMOTE sensing TREELINE 

分 类 号：S[农业科学]