Evaluating the capability of Landsat 8 OLI and SPOT 6 for discriminating invasive alien species in the African Savanna landscape. - Mahlatse Kganyago; John Odindi; Clement Adjorlolo; Paidamwoyo Mhangara (Int. J. Appl. Earth Obs. Geoinformation, 2018)

The Role of African Emerging Space Agencies in Earth Observation Capacity Building for Facilitating the Implementation and Monitoring of the African Development Agenda: The Case of African Earth Observation Program. - Mahlatse Kganyago; Paidamwoyo Mhangara (ISPRS Int. J. Geo Inf., 2019)

Towards the Development of Agenda 2063 Geo-Portal to Support Sustainable Development in Africa. - Paidamwoyo Mhangara; Asanda Lamba; Willard Mapurisa; Naledzani Mudau (ISPRS Int. J. Geo Inf., 2019)

Multi-Mission Earth Observation Data Processing System. - Paidamwoyo Mhangara; Willard Mapurisa (Sensors, 2019)

Trend analysis and first time observations of sulphur dioxide and nitrogen dioxide in South Africa using TROPOMI/Sentinel-5 P data. - Lerato Shikwambana; Paidamwoyo Mhangara; Nkanyiso Mbatha (Int. J. Appl. Earth Obs. Geoinformation, 2020)

A Comparison of Two Morphological Techniques in the Classification of Urban Land Cover. - Lesiba Thomas Tsoeleng; John Odindi; Paidamwoyo Mhangara (Remote. Sens., 2020)

Estimating Crop Biophysical Parameters Using Machine Learning Algorithms and Sentinel-2 Imagery. - Mahlatse Kganyago; Paidamwoyo Mhangara; Clement Adjorlolo (Remote. Sens., 2021)

Exploring Transferable Techniques to Retrieve Crop Biophysical and Biochemical Variables Using Sentinel-2 Data. - Mahlatse Kganyago; Clement Adjorlolo; Paidamwoyo Mhangara (Remote. Sens., 2022)

An Application of Machine-Learning Model for Analyzing the Impact of Land-Use Change on Surface Water Resources in Gauteng Province, South Africa. - Eskinder Gidey; Paidamwoyo Mhangara (Remote. Sens., 2023)

Advancement in the Application of Geospatial Technology in Archaeology and Cultural Heritage in South Africa: A Scientometric Review. - Charles Matyukira; Paidamwoyo Mhangara (Remote. Sens., 2023)

Land Cover and Landscape Structural Changes Using Extreme Gradient Boosting Random Forest and Fragmentation Analysis. - Charles Matyukira; Paidamwoyo Mhangara (Remote. Sens., 2023)

Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture. - Mahlatse Kganyago; Clement Adjorlolo; Paidamwoyo Mhangara; Lesiba Thomas Tsoeleng (Comput. Electron. Agric., 2024)