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Quantifying Post-Fire Changes in the Aboveground Biomass of an Amazonian Forest Based on Field and Remote Sensing Data., , , , , и . Remote. Sens., 14 (7): 1545 (2022)Diurnal Changes in Leaf Photochemical Reflectance Index in Two Evergreen Forest Canopies., , , , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (7): 2236-2243 (2019)Implications of Diurnal Changes in Leaf PRI on Remote Measurements of Light Use Efficiency., , , , , , , , , и 1 other автор(ы). IGARSS, стр. 9007-9010. IEEE, (2018)Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon., , , , , , и . Remote. Sens., 11 (1): 59 (2019)Spatial validation of the collection 4 MODIS LAI product in eastern Amazonia., , , и . IEEE Trans. Geosci. Remote. Sens., 43 (11): 2526-2534 (2005)3D Façade Labeling over Complex Scenarios: A Case Study Using Convolutional Neural Network and Structure-From-Motion., , , , и . Remote. Sens., 10 (9): 1435 (2018)Determining a Threshold to Delimit the Amazonian Forests from the Tree Canopy Cover 2000 GFC Data., , , , , , и . Sensors, 19 (22): 5020 (2019)An integrated remote sensing and GIS approach for monitoring areas affected by selective logging: A case study in northern Mato Grosso, Brazilian Amazon., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2017)Exploring the Biophysical Drivers of Amazon Phenology: Preparing Data Sets to Improve Dynamic Global Vegetation Models., , , , , , , и . IGARSS (2), стр. 137-140. IEEE, (2008)Meso-Scale Variability of Soils and Forest Canopy Properties is Connected to Geomorphologic Features in Eastern Amazonia., , и . IGARSS, стр. 675-678. IEEE, (2006)