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Mapping Tree Species Diversity

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Bibliographic Details
Other Authors:	Immitzer, Markus (Editor), Mutanga, Onisimo (Editor), Atzberger, Clement (Editor)
Format:	Electronic Book Chapter
Language:	No linguistic content, Not applicable
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:	Research & information: general Geography tree species forest biodiversity time series spatial autocorrelation cross-validation accuracy tree species classification Sentinel-2 multi-temporal Wienerwald biosphere reserve semideciduous forest hyperspectral multitemporal information UAV classification segmentation single trees forest structure analysis dead wood illumination correction GEE forest species Mount Taishan species diversity spectral diversity convex hull volume AVIRIS-NG tropical forests ISRO-NASA campaign climatic gradient woody vegetation probability random forest forest inventory Serbia object-based mapping WorldView-3 LiDAR machine learning CNN RGB boreal forest forest cover and species Siberia Landsat spatial divergence forest stands classification curve matching data fusion multisource remote sensing data tree species mapping ALS forestry high-resolution remote sensing imagery individual tree species recognition individual tree crown delineation convolutional neural network deep learning convolutional networks biosecurity forest pathology myrtle rust urban forestry aerial imagery trees species identification phenological metrics scale effect up-scaling endangered tree species selective logging imbalanced data pixel-based classification machine learning algorithm multi-layer perception savanna species distribution model Sentinel-1 multitemporal random forest BPWW feature extraction optical data SAR radiative transfer model
Online Access:	DOAB: download the publication DOAB: description of the publication
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Description
Physical Description:	1 electronic resource (414 p.)
ISBN:	books978-3-0365-8527-7 9783036585260 9783036585277
Access:	Open Access