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Characterizing Biophysical Attributes in Tropical Secondary Forest Environments with Multitemporal Hyperspectral Images.

. IGARSS, page 5656-5659. IEEE, (2022)

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The Contribution of CHRIS/PROBA Data for Tropical Peat Swamp Landscape Discrimination Purposes., , and . IGARSS (2), page 57-60. IEEE, (2009)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)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)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)Mapping Burned Scars over Grasslands using PlanetScope Images in Southern Brazil., , , , , and . Agro-Geoinformatics, page 1-4. IEEE, (2024)Corn phenology and productivity with PlanetScope images., , , , , , and . Agro-Geoinformatics, page 1-4. IEEE, (2024)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)Machine Learning Applied to Uav Imagery in Precision Agriculture and Forest Monitoring in Brazililian Savanah., , , , , , , , , and . IGARSS, page 9364-9367. IEEE, (2019)