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Integrating age in the detection and mapping of incongruous patches in coffee (Coffea arabica) plantations using multi-temporal Landsat 8 NDVI anomalies.

A. Chemura, O. Mutanga, and T. Dube. Int. J. Appl. Earth Obs. Geoinformation, (2017)

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Predicting Thaumastocoris peregrinus damage using narrow band normalized indices and hyperspectral indices using field spectra resampled to the Hyperion sensor.Z. Oumar, O. Mutanga, and R. Ismail. Int. J. Appl. Earth Obs. Geoinformation, (2013)Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms.G. Omer, O. Mutanga, E. Abdel-Rahman, and E. Adam. Remote Sensing, 8 (4): 324 (2016)Remotely sensed retrieval of Local Climate Zones and their linkages to land surface temperature in Harare metropolitan city, ZimbabweT. Mushore, T. Dube, M. Manjowe, W. Gumindoga, A. Chemura, I. Rousta, J. Odindi, and O. Mutanga. Urban Climate, (2019)A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data.H. Ndlovu, J. Odindi, M. Sibanda, O. Mutanga, A. Clulow, V. Chimonyo, and T. Mabhaudhi. Remote. Sens., 13 (20): 4091 (2021)Landsat-8 and Sentinel-2 Based Prediction of Forest Plantation C Stock Using Spatially Varying Coefficient Bayesian Hierarchical Models.T. Chinembiri, O. Mutanga, and T. Dube. Remote. Sens., 14 (22): 5676 (2022)Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning.N. Dudeni-Tlhone, O. Mutanga, P. Debba, and M. Cho. Remote. Sens., 15 (17): 4117 (September 2023)Remote Sensing-Based Outdoor Thermal Comfort Assessment in Local Climate Zones in the Rural-Urban Continuum of eThekwini Municipality, South Africa.T. Mushore, J. Odindi, R. Slotow, and O. Mutanga. Remote. Sens., 15 (23): 5461 (December 2023)Discriminating Rangeland Management Practices Using Simulated HyspIRI, Landsat 8 OLI, Sentinel 2 MSI, and VENµS Spectral Data.M. Sibanda, O. Mutanga, and M. Rouget. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (9): 3957-3969 (2016)The utility of satellite fire product accuracy Information-perspectives and recommendations from the Southern Africa fire network.D. Roy, S. Trigg, R. Bhima, B. Brockett, O. Dube, P. Frost, N. Govender, T. Landmann, J. Roux, T. Lepono and 8 other author(s). IEEE Trans. Geosci. Remote. Sens., 44 (7-1): 1928-1930 (2006)Mapping forest aboveground biomass in the reforested Buffelsdraai landfill site using texture combinations computed from SPOT-6 pan-sharpened imagery.S. Hlatshwayo, O. Mutanga, R. Lottering, Z. Kiala, and R. Ismail. Int. J. Appl. Earth Obs. Geoinformation, (2019)

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Integrating age in the detection and mapping of incongruous patches in coffee (Coffea arabica) plantations using multi-temporal Landsat 8 NDVI anomalies.

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