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Integration of Worldview-2 and Lidar Data to MAP a Subtropical Forest Area: Comparison of Machine Learning Algorithms.

, , , and . IGARSS, page 6207-6210. IEEE, (2018)

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Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data., , , , , , , and . Remote Sensing, 11 (11): 1338 (2019)Evaluating Moisture and Geometry Effects on L-Band SAR Classification Performance Over a Tropical Rain Forest Environment., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (12): 5357-5368 (2016)The Contribution of CHRIS/PROBA Data for Tropical Peat Swamp Landscape Discrimination Purposes., , and . IGARSS (2), page 57-60. IEEE, (2009)Possibilities of discriminating tropical secondary succession in Amazônia using hyperspectral and multiangular CHRIS/PROBA data., , , and . Int. J. Appl. Earth Obs. Geoinformation, 11 (1): 8-14 (2009)Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah., , , , , , , , , and . IGARSS, page 9364-9367. IEEE, (2019)A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (24): 4086 (2020)Integration of Worldview-2 and Lidar Data to MAP a Subtropical Forest Area: Comparison of Machine Learning Algorithms., , , and . IGARSS, page 6207-6210. IEEE, (2018)Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Characterizing Biophysical Attributes in Tropical Secondary Forest Environments with Multitemporal Hyperspectral Images.. IGARSS, page 5656-5659. IEEE, (2022)Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery., , , , , , , , , and 1 other author(s). Remote. Sens., 14 (3): 688 (2022)