World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
38
Citations
7542
World Ranking
8544
National Ranking
22

Overview

Moses Azong Cho is affiliated with the Council for Scientific and Industrial Research in South Africa. Their research primarily focuses on Environmental Science, with a concentration on various subfields including Ecology, Environmental Engineering, Global and Planetary Change, Plant Science, and Ecological Modeling.

Their scientific contributions extensively cover topics related to Remote Sensing in Agriculture, Land Use and Ecosystem Services, Species Distribution and Climate Change, Leaf Properties and Growth Measurement, Urban Heat Island Mitigation, Remote Sensing and Land Use, as well as Remote Sensing and LiDAR Applications.

Key frequent co-authors collaborating with Moses Azong Cho include Abel Ramoelo, Cecilia Masemola, Laven Naidoo, Sabelo Madonsela, and Russell Main.

The scientist has published in a variety of academic venues, with notable frequent publication outlets being the SSRN Electronic Journal, International Journal of Remote Sensing, Geocarto International, International Journal of Applied Earth Observation and Geoinformation, and the Journal of Spatial Science.

The following notable research papers represent a selection of Moses Azong Cho's published works:

  • Sentinel-2 time series based optimal features and time window for mapping invasive Australian native Acacia species in KwaZulu Natal, South Africa, 2020, International Journal of Applied Earth Observation and Geoinformation
  • Towards a semi-automated mapping of Australia native invasive alien Acacia trees using Sentinel-2 and radiative transfer models in South Africa, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages, 2021, Journal of Spatial Science
  • Comparison between Sentinel-2 and WorldView-3 sensors in mapping wetland vegetation communities of the Grassland Biome of South Africa, for monitoring under climate change, 2022, Remote Sensing Applications Society and Environment
  • Theoretical Study on the Degree of CO2 Activation in CO2-Coordinated Ni(0) Complexes, 2021, ACS Omega

Best Publications

  • High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

    Onisimo Mutanga;Elhadi Adam;Moses Azong Cho

  • A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method

    Moses Azong Cho;Andrew K. Skidmore

  • LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements

    Roshanak Darvishzadeh;Andrew Skidmore;Martin Schlerf;Clement Atzberger

  • Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression

    Moses Azong Cho;Moses Azong Cho;Andrew K. Skidmore;Andrew K. Skidmore;Fabio Corsi;Sipke E. van Wieren

  • An investigation into robust spectral indices for leaf chlorophyll estimation

    Russell Main;Moses Azong Cho;Renaud Mathieu;Martha M. O’Kennedy

  • Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

    L Naidoo;Moses A Cho;Renaud Sa Mathieu;G Asner

  • Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions

    Nathalie Pettorelli;Martin Wegmann;Martin Wegmann;Andrew Skidmore;Sander Mucher

  • Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

    Moses Azong Cho;Renaud Mathieu;Gregory P. Asner;Laven Naidoo

  • Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor

    Abel Ramoelo;Abel Ramoelo;Andrew K. Skidmore;Moses Azong Cho;Martin Schlerf

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

    Abel Ramoelo;Abel Ramoelo;Moses Azong Cho;Renaud Mathieu;S. Madonsela

  • Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis

    M A Cho;P Debba;R Mathieu;L Naidoo

  • Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data

    Abel Ramoelo;Abel Ramoelo;AK Skidmore;Moses A Cho;Renaud Sa Mathieu

  • Potential of Sentinel-2 spectral configuration to assess rangeland quality

    Abel Ramoelo;Abel Ramoelo;Moses Cho;Moses Cho;Renaud Mathieu;Renaud Mathieu;Andrew K. Skidmore

  • Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image

    Samuel Adelabu;Onisimo Mutanga;Elhadi E. Adam;Moses Azong Cho

  • Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data: A Case Study of Selected South African Soils

    Unknown

  • Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species

    Sabelo Madonsela;Sabelo Madonsela;Moses Azong Cho;Moses Azong Cho;Renaud Mathieu;Renaud Mathieu;Onisimo Mutanga

  • Remote sensing of species diversity using Landsat 8 spectral variables

    Sabelo Madonsela;Sabelo Madonsela;Moses Azong Cho;Moses Azong Cho;Moses Azong Cho;Abel Ramoelo;Abel Ramoelo;Abel Ramoelo;Onisimo Mutanga

  • Towards red-edge positions less sensitive to canopy biophysical parameters for leaf chlorophyll estimation using properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAILH) simulated data

    M. A. Cho;A. K. Skidmore;C. Atzberger

  • 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

    Moses Azong Cho;Moses Azong Cho;Oupa Malahlela;Abel Ramoelo

  • Toward structural assessment of semi-arid African savannahs and woodlands: The potential of multitemporal polarimetric RADARSAT-2 fine beam images

    Renaud Mathieu;Laven Naidoo;Moses A. Cho;Brigitte Leblon

  • Hyperspectral predictors for monitoring biomass production in Mediterranean mountain grasslands: Majella National Park, Italy

    M. A. Cho;A. K. Skidmore

Frequent Co-Authors

Renaud Mathieu
Renaud Mathieu International Rice Research Institute
Onisimo Mutanga
Onisimo Mutanga University of KwaZulu-Natal
Andrew K. Skidmore
Andrew K. Skidmore University of Twente
Gregory P. Asner
Gregory P. Asner Arizona State University
Martin Schlerf
Martin Schlerf Luxembourg Institute of Science and Technology
Konrad J Wessels
Konrad J Wessels George Mason University
Clement Atzberger
Clement Atzberger BOKU University
Roshanak Darvishzadeh
Roshanak Darvishzadeh University of Twente
Eren Turak
Eren Turak Office of Environment and Heritage
Martin Wegmann
Martin Wegmann University of Würzburg

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