000			01557nam a2200121Ia 4500
008			220615s9999||||xx |||||||||||||| ||und||
100			_aVastaranta, Mikko||Calders, Kim||Jonckheere, Inge||Nightingale, Joanne
245		0	_aRemote Sensing Technology Applications in Forestry and REDD+
546			_aEnglish[eng]
650			_aspectral||Cameroon||quantitative structural model||digital hemispherical photograph (DHP)||environment effects||human activity||reference level||terrestrial laser scanning||topographic effects||Guyana||predictive mapping||aboveground biomass estimation||geographic information system||Pinus massoniana||3D tree modelling||ensemble model||destructive sampling||model comparison||topography||remote sensing||forest growing stock volume (GSV)||local tree allometry||tree mapping||gray level co-occurrence matrix (GLCM)||deforestation||REDD+||sentinel imagery||geographically weighted regression||aboveground biomass||random forest||random forest (RF)||silviculture||agriculture||crown density||hazard mapping||model evaluation||old-growth forest||full polarimetric SAR||subtropical forest||forest canopy||forest classification||low-accuracy estimation||texture||LiDAR||Landsat||phenology||airborne laser scanning||tall trees||machine learning||forest baseline||overstory trees||support vector machine||above-ground biomass||multispectral satellite imagery||crown delineation||specific leaf area||forest inventory||canopy cover (CC)||voxelization||forestry||leaf area
856			_uhttps://mdpi.com/books/pdfview/book/2103
942			_cEB
999			_c14432 _d14432