Moses Azong Cho
Orcid: 0000-0001-8278-2111
According to our database1,
Moses Azong Cho
authored at least 34 papers
between 2007 and 2023.
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Bibliography
2023
Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning.
Remote. Sens., September, 2023
2021
Investigating the Relationship between Tree Species Diversity and Landsat-8 Spectral Heterogeneity across Multiple Phenological Stages.
Remote. Sens., 2021
Estimating South African Maize Biomass Using Integrated High-Resolution UAV and Sentinel 1 and 2 Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Sentinel-2 time series based optimal features and time window for mapping invasive Australian native <i>Acacia</i> species in KwaZulu Natal, South Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Assessing the Effect of Seasonality on Leaf and Canopy Spectra for the Discrimination of an Alien Tree Species, Acacia Mearnsii, From Co-Occurring Native Species Using Parametric and Nonparametric Classifiers.
IEEE Trans. Geosci. Remote. Sens., 2019
Estimating mineral content of indigenous browse species using laboratory spectroscopy and sentinel-2 imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2019
Optimal dates for assessing long-term changes in tree-cover in the semi-arid biomes of South Africa using MODIS NDVI time series (2001-2018).
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Explaining Leaf Nitrogen Distribution in a Semi-Arid Environment Predicted on Sentinel-2 Imagery Using a Field Spectroscopy Derived Model.
Remote. Sens., 2018
Int. J. Appl. Earth Obs. Geoinformation, 2018
2017
Response of Land Surface Phenology to Variation in Tree Cover during Green-Up and Senescence Periods in the Semi-Arid Savanna of Southern Africa.
Remote. Sens., 2017
Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
Seasonal Separation of African Savanna Components Using Worldview-2 Imagery: A Comparison of Pixel- and Object-Based Approaches and Selected Classification Algorithms.
Remote. Sens., 2016
2015
Reducing Leaf-Level Hyperspectral Data to 22 Components of Biochemical and Biophysical Bands Optimizes Tree Species Discrimination.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data.
Int. J. Appl. Earth Obs. Geoinformation, 2015
Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
Estimation of Canopy Nitrogen Concentration Across C3 and C4 Grasslands Using WorldView-2 Multispectral Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Estimation of leaf area index (LAI) of South Africa from MODIS imager by inversion of PROSAIL radiative transfer model.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
2013
Savanna grass nitrogen to phosphorous ratio estimation using field spectroscopy and the potential for estimation with imaging spectroscopy.
Int. J. Appl. Earth Obs. Geoinformation, 2013
Spectral resampling based on user-defined inter-band correlation filter: C<sub>3</sub> and C<sub>4</sub> grass species classification.
Int. J. Appl. Earth Obs. Geoinformation, 2013
2012
Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor.
Int. J. Appl. Earth Obs. Geoinformation, 2012
High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2012
Potential utility of the spectral red-edge region of SumbandilaSat imagery for assessing indigenous forest structure and health.
Int. J. Appl. Earth Obs. Geoinformation, 2012
2010
Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis.
IEEE Trans. Geosci. Remote. Sens., 2010
2009
Mapping beech (Fagus sylvatica L.) forest structure with airborne hyperspectral imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2009
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Optimal individual supervised hyperspectral band selection distinguishing savannah trees at leaf level.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Multiple endmember spectral-angle-mapper (sam) analysis improves discrimination of savanna tree species.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Tree Cover, Tree Height and Bare Soil Cover Differences along a Land Use Degradation Gradient in Semi-arid Savannas, South Africa.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Spectral Variability within Species and its Effects on Savanna Tree Species Discrimination.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
Integrating Remote Sensing and Ancillary Data for Regional Ecosystem Assessment: Eucalyptus Grandis Agro-system in KwaZulu-Natal, South Africa.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009
2008
Evaluating the Seasonality of Remote Sensing Indicators of System State for Eucalyptus Grandis Growing on Different Site Qualities.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression.
Int. J. Appl. Earth Obs. Geoinformation, 2007