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Editorial Summary, Remote Sensing Special Issue Ädvances in Remote Sensing for Global Forest Monitoring".

, , , , and . Remote. Sens., 13 (4): 597 (2021)

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European Wide Forest Classification Based on Sentinel-1 Data., , , , and . Remote. Sens., 13 (3): 337 (2021)Assessing Changes in Mountain Treeline Ecotones over 30 Years Using CNNs and Historical Aerial Images., , , , and . Remote. Sens., 14 (9): 2135 (2022)Identifying Tree-Related Microhabitats in TLS Point Clouds Using Machine Learning., , , and . Remote. Sens., 10 (11): 1735 (2018)Extraction of forest parameters in a mire biotope using high-resolution digital surface models and airborne imagery., , , , , and . IGARSS, page 1265-1270. IEEE, (2007)Modeling fractional shrub/tree cover and multi-temporal changes in mire ecosystems using high-resolution digital surface models and CIR aerial images., , , , and . IGARSS, page 2288-2293. IEEE, (2007)Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (February 2023)Predicting biomass dynamics at the national extent from digital aerial photogrammetry., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Rapid Detection of Windthrows Using Sentinel-1 C-Band SAR Data., , and . Remote Sensing, 11 (2): 115 (2019)Wall-to-Wall Tree Type Mapping from Countrywide Airborne Remote Sensing Surveys., , and . Remote Sensing, 9 (8): 766 (2017)Review of studies on tree species classification from remotely sensed data, , , , , , , and . Remote Sensing of Environment, (2016)