000			01949nam a2200133Ia 4500
008			220615s9999||||xx |||||||||||||| ||und||
020			_a9783040000000
245		0	_aOperationalization of Remote Sensing Solutions for Sustainable Forest Management
546			_aEnglish[eng]
650			_aforest road inventory||total station||global navigation satellite system||point cloud||precision density||positional accuracy||efficiency||mangrove sustainability||deforestation depletion||anthropogenic||natural water balance||Southeast Asia||Phoracantha spp.||unmanned aerial vehicle (UAV)||multispectral imagery||vegetation index||thresholding analysis||Large Scale Mean-Shift Segmentation (LSMS)||Random Forest (RF)||forest mask||validation||probability sampling||remote sensing||earth observations||forestry||accuracy assessment||forest classification||forested catchment||hydrological modeling||SWAT model||DEM||airborne laser scanning||deep learning||Landsat||national forest inventory||stand volume||bark beetle||Ips typographus L.||pest||change detection||forest damage||spruce||Sentinel-2||damage mapping||multi-temporal regression||mangrove||replanting||restoration||analytic hierarchy process||UAV||DJI drone||machine learning||forest canopy||canopy gaps||canopy openings percentage||satellite indices||Elastic Net||beech–fir forests||pixel-based supervised classification||random forest||support vector machine||gray level cooccurrence matrix (GLCM)||principal component analysis (PCA)||WorldView-3||wildfires||MaxENT||risk modeling||GIS||multi-scale analysis||Yakutia||Artic||Siberia||phenology modelling||forest disturbance||forest monitoring||bark beetle infestation||forest management||time series analysis||satellite imagery||landsat time series||growing stock volume||forest inventory||harmonic regression||n/a
700			_aMozgeris, Gintautas||Balenović, Ivan
856			_uhttps://mdpi.com/books/pdfview/book/3789
942			_cEB
999			_c11102 _d11102