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Mapping Tree Species Diversity

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書誌詳細
フォーマット:	Online
出版事項:	MDPI - Multidisciplinary Digital Publishing Institute 2023
主題:	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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
オンライン･アクセス:	ONIX_20230911_9783036585260_139
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ONIX_20230911_9783036585260_139