期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：6
页码：12184
DOI：10.15680/IJIRSET.2017.0606283
出版社：S&S Publications
摘要：The health of the forest vegetation is one of the driving factors and indicator of climate change impacts.Fragmentation of the forests on the other hand brings out the implications of the various stressing factors on the spatialextent of the forests especially the increasing population and industrialization, which has always impacted the forestedregions in the form of deforestation for commercial purposes and conversion of forest land for cultivation. Hence thereis a demand for spatial assessment and continuous monitoring of the forested regions. With a wide range of advancingtechnologies, remote sensing methods are increasingly being employed for monitoring a number of remotelymeasurable properties of different types of vegetation.This paper reviews the utilitarian application of remote sensingas a tool to assess the health of the forest regions. The various multispectral satellite image derived vegetation indiceslike Broadband and narrowband Greenness, leaf pigments, canopy water content and Light use efficiency can be usedas a combined tool to generate a comprehensive health metrics for the forest canopy. These new indices may be usefulin remote sensing plant physiology status as well. Various band ratio exist for above factors depending on the bandsavailable in the selected dataset. A detailed discussion of the existing multispectral satellite sensors capable of studyingthe forest canopy is presented herewith, in addition to briefing on the potential of the latest microwave remote sensingtechnique for vegetation studies. The estimated vegetation indices can be used to generate the final health map of forestregions. Any change in the spatial extent of the forested areas and their pathway for future change can be assessed bythe fragmentation analysis.The application of the discussed techniques in various environmental conditions areelaborated and the constraints in addition to the requirements for effective forest health monitoring is provided in thisreview.
