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Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine Learning in Structurally Rich Temperate Forests.

, , , and . Remote. Sens., 11 (23): 2853 (2019)

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Canopy Height Estimation from Single Multispectral 2D Airborne Imagery Using Texture Analysis and Machine Learning in Structurally Rich Temperate Forests., , , and . Remote. Sens., 11 (23): 2853 (2019)A Modified Version of the Direct Sampling Method for Filling Gaps in Landsat 7 and Sentinel 2 Satellite Imagery in the Coastal Area of Rhone River., , , and . Remote. Sens., 15 (21): 5122 (November 2023)Mapping Underwater Aquatic Vegetation Using Foundation Models With Air- and Space-Borne Images: The Case of Polyphytos Lake., , , , and . Remote. Sens., 15 (16): 4001 (August 2023)Earth Observation in Service of Terrestrial Ecosystems' Monitoring.. GISTAM, page 5-6. SCITEPRESS, (2021)Land cover to habitat map conversion using remote sensing data: A supervised learning approach., , , , , and . IGARSS, page 4683-4686. IEEE, (2014)Satellite Earth observation data to identify anthropogenic pressures in selected protected areas., , , , , , , , , and 3 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2015)Identification of Emergent and Floating Aquatic Vegetation Using an Unsupervised Thresholding Approach: A Case Study of the Dniester Delta in Ukraine., , , , , and . GISTAM, page 98-103. SCITEPRESS, (2023)Land cover to habitat map translation: Disambiguation rules based on Earth Observation data., , , , , , , , and . IGARSS, page 3817-3820. IEEE, (2013)The Earth Obsevation Data Ecosystem Monitoring (Eodesm) System., , , and . IGARSS, page 8985-8987. IEEE, (2018)Progress on Land Surface Phenology Estimation with Multispectral Remote Sensing., , and . GISTAM (Selected Papers), volume 1908 of Communications in Computer and Information Science, page 16-37. Springer, (2022)