Mapping Plant Diversity Based on Combined SENTINEL-1/2 Data—Opportunities for Subtropical Mountainous Forests

Plant diversity is an important parameter in maintaining forest ecosystem services, functions and stability. Timely and accurate monitoring and evaluation of large-area wall-to-wall maps on plant diversity and its spatial heterogeneity are crucial for the conservation and management of forest resour...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 14; H. 3; S. 492
Hauptverfasser:	Yang, Qichi, Wang, Lihui, Huang, Jinliang, Lu, Lijie, Li, Yang, Du, Yun, Ling, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 20.01.2022
Schlagworte:	Algorithms confidence interval Confidence intervals Coniferous forests Conservation Datasets Deciduous forests Diversity indices Ecosystem services Evaluation Flowers & plants Forest ecosystems Forest management Forest resources Forestry Heterogeneity image analysis Learning algorithms Machine learning Mapping Mixed forests mountains Plant diversity Polls & surveys prediction Radar Radar data Rainforests random forest Remote sensing Resource conservation satellite imagery time-series Satellites sentinel-1 and -2 Spatial heterogeneity spatial variation species diversity Stability analysis Statistical analysis subtropical evergreen-deciduous broad-leaved mixed forest Taxonomy Terrestrial ecosystems Texture time series analysis Topography Tropical forests Vegetation
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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