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Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data.

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

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Multiple endmember spectral-angle-mapper (sam) analysis improves discrimination of savanna tree species., , and . WHISPERS, page 1-4. IEEE, (2009)Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2017)Estimating South African Maize Biomass Using Integrated High-Resolution UAV and Sentinel 1 and 2 Datasets., , , , and . IGARSS, page 1594-1596. IEEE, (2021)Integrating Remote Sensing and Ancillary Data for Regional Ecosystem Assessment: Eucalyptus Grandis Agro-system in KwaZulu-Natal, South Africa., , , , , , , and . IGARSS (4), page 264-267. IEEE, (2009)Mapping beech (Fagus sylvatica L.) forest structure with airborne hyperspectral imagery., , and . Int. J. Appl. Earth Obs. Geoinformation, 11 (3): 201-211 (2009)Spectral Variability within Species and its Effects on Savanna Tree Species Discrimination., , , , and . IGARSS (2), page 190-193. IEEE, (2009)Within- and Between-class Variability of Spectrally Similar Tree Species., , and . IGARSS (4), page 272-275. IEEE, (2009)Seasonal Separation of African Savanna Components Using Worldview-2 Imagery: A Comparison of Pixel- and Object-Based Approaches and Selected Classification Algorithms., , , , , , and . Remote Sensing, 8 (9): 763 (2016)Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning., , , and . Remote. Sens., 15 (17): 4117 (September 2023)Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2012)