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Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data.

, , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)

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Lorey's height regression for ICESAT-GLAS waveforms in hyrcanian deciduous forests of Iran., , , , , and . IGARSS, page 4105-4108. IEEE, (2015)Object-based classification of hyperspectral data using Random Forest algorithm., , , and . Geo spatial Inf. Sci., 21 (2): 127-138 (2018)Trends in Phenological Parameters and Relationship Between Land Surface Phenology and Climate Data in the Hyrcanian Forests of Iran., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (11): 4961-4970 (2017)Evaluation of the potential of Landsat ETM+ for forest density mapping in zagros forests of Iran., and . IGARSS, page 2529-2531. IEEE, (2003)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)Capability of GLAS/ICESat Data to Estimate Forest Canopy Height and Volume in Mountainous Forests of Iran., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (11): 5246-5261 (2015)Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine Learning., , , , , and . Remote. Sens., 14 (6): 1453 (2022)Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)