48 citations as recorded by crossref.

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29. Quantifying Live Aboveground Biomass and Forest Disturbance of Mountainous Natural and Plantation Forests in Northern Guangdong, China, Based on Multi-Temporal Landsat, PALSAR and Field Plot Data W. Shen et al. 10.3390/rs8070595
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31. Analyzing the Spatiotemporal Patterns of Forests Carbon Sink and Sources Between 2000 and 2019 A. Alaniz et al. 10.1029/2021EF002560
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35. Mapping Above-Ground Biomass in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth M. Singh et al. 10.3390/rs70505057
36. Estimating Forest Biomass Dynamics by Integrating Multi-Temporal Landsat Satellite Images with Ground and Airborne LiDAR Data in the Coal Valley Mine, Alberta, Canada N. Badreldin & A. Sanchez-Azofeifa 10.3390/rs70302832
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41. Biomass patterns in Srivilliputhur Wildlife Sanctuary: exploring factors and gradients with machine learning approach N. Jaiswal & S. Jayakumar 10.1007/s10661-024-12591-5
42. Mapping Forest Health Using Spectral and Textural Information Extracted from SPOT-5 Satellite Images J. Meng et al. 10.3390/rs8090719
43. Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms Y. Zhu et al. 10.3390/rs9101060
44. Hazard rating of coastal pine forests for a black pine bast scale using self-organizing map (SOM) and random forest approaches Y. Nam et al. 10.1016/j.ecoinf.2014.11.001
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