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Classification of crops across heterogeneous agricultural landscape in Kenya using AisaEAGLE imaging spectroscopy data.

, , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)

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Classification of Tree Species in a Diverse African Agroforestry Landscape Using Imaging Spectroscopy and Laser Scanning., , , , and . Remote Sensing, 9 (9): 875 (2017)A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Evaluating the temporal patterns of land use and precipitation under desertification in the semi-arid region of Brazil., , , , , , , , , and 1 other author(s). Ecol. Informatics, (November 2023)Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes?, , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)The effect of topographic normalization on fractional tree cover mapping in tropical mountains: An assessment based on seasonal Landsat time series., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Hybridisation may aid evolutionary rescue of an endangered east african passerine, , , , , , and . Evolutionary Applications, (2022)Generating fine resolution leaf area index maps for boreal forests of Finland., , , , and . IGARSS, page 2326-2329. IEEE, (2011)Sensitivity of Spectral Indices on Burned Area Detection using Landsat Time Series in Savannas of Southern Burkina Faso., , , and . Remote. Sens., 13 (13): 2492 (2021)Measurements of Boreal Coniferous Forest Soil and Humus With an Airborne Radiometer., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (7): 3219-3228 (2016)Estimating canopy spectral invariants from ground reference and remote sensing data., , , , and . WHISPERS, page 1-4. IEEE, (2010)