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• W4313481605 abstract "Forests are an indispensable foundation of life for humans. They fulfil multiple functions in a single area: they are a source of income to many; they provide wood, an environmentally compatible, renewable resource, as well as foodstuffs and many other basic commodities; they protect the soils from erosion and stabilize the water table; they stabilize the climate on a regional and global level and they offer humans numerous opportunities for recreation and relaxation. These functions have different levels of significance in the various regions of the earth. For the past 20 years, increases in the produce and income generated resulted from the increase of the agricultural area rather than that of products per unit area due to the high rate of population growth correlated with a limited area of land available for cropping and housing. Situations such as poverty and a scarcity of food have forced villagers to migrate into the forest reserves, where they subsequently destroy the forests through shifting cultivation, especially in the watershed areas. Remote sensingRemote sensing using satellites can make a significant contribution to regional and global forest coverForest cover assessment. Satellite images permit the observation of large geographical areas and can be repeated at short time intervals and the costs are reasonable. The basic forest coverForest cover information that can be obtained from satellite images at different spatial resolutionsResolutions relates to the area and spatial distribution of broad forest coverForest cover types, to the degree of canopy fragmentation and to the forest coverForest cover changes occurring. Recent research papers show that remotely sensed data are well correlated with forest stand parameters. Vegetation index is a spectral transformation of at least two optical bands to obtain the vegetation properties. Normalized difference vegetation index (NDVINormalised difference vegetation index (NDVI)), green normalized difference vegetation index (GNDVINormalised difference vegetation index (NDVI)) and soil-adjusted vegetation index (SAVI) were cited in numerous research papers and they have been widely used in the forest researches to investigate the relationship between forest parameters such as diameter at breast height (DBH)Diameter at breast height (DBH), per cent crown cover, tree age class, tree height, basal area, tree volume and aboveground living biomassBiomass. Nowadays it has been possible for researcher worldwide to access the satellite data with free download, for example, Landsat 8, Landsat 9 or Sentinel-2. The use of vegetation index is necessary for understanding the forest area in a global level and the greater efficiency of sustainable forest managementSustainable forest management (SFM)." @default.
• W4313481605 created "2023-01-06" @default.
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• W4313481605 date "2022-01-01" @default.
• W4313481605 modified "2023-09-27" @default.
• W4313481605 title "Application of Remote Sensing Vegetation Indices for Forest Cover Assessments" @default.
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• W4313481605 doi "https://doi.org/10.1007/978-981-19-4200-6_8" @default.
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