| Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review O Odebiri, J Odindi, O Mutanga International journal of applied earth observation and geoinformation 102 …, 2021 | 68 | 2021 |
| Deep learning-based national scale soil organic carbon mapping with Sentinel-3 data O Odebiri, O Mutanga, J Odindi Geoderma 411, 115695, 2022 | 54 | 2022 |
| Predicting soil organic carbon stocks under commercial forest plantations in KwaZulu-Natal province, South Africa using remotely sensed data O Odebiri, O Mutanga, J Odindi, K Peerbhay, S Dovey GIScience & Remote Sensing 57 (4), 450-463, 2020 | 48 | 2020 |
| Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep learning approach O Odebiri, O Mutanga, J Odindi, R Naicker ISPRS Journal of Photogrammetry and Remote Sensing 188, 351-362, 2022 | 40 | 2022 |
| Estimating soil organic carbon stocks under commercial forestry using topo-climate variables in KwaZulu-Natal, South Africa O Odebiri, O Mutanga, J Odindi, K Peerbhay, S Dovey, R Ismail South African Journal of Science 116 (3-4), 1-8, 2020 | 29 | 2020 |
| Deep learning approaches in remote sensing of soil organic carbon: A review of utility, challenges, and prospects O Odebiri, O Mutanga, J Odindi, R Naicker, C Masemola, M Sibanda Environmental monitoring and assessment 193, 1-18, 2021 | 25 | 2021 |
| Evaluation of projected soil organic carbon stocks under future climate and land cover changes in South Africa using a deep learning approach O Odebiri, O Mutanga, J Odindi, R Naicker, R Slotow, M Mngadi Journal of Environmental Management 330, 117127, 2023 | 20 | 2023 |
| Mapping soil organic carbon distribution across South Africa's major biomes using remote sensing-topo-climatic covariates and Concrete Autoencoder-Deep neural networks O Odebiri, O Mutanga, J Odindi, R Naicker Science of The Total Environment 865, 161150, 2023 | 15 | 2023 |
| Leveraging Google Earth Engine to estimate foliar C: N ratio in an African savannah rangeland using Sentinel 2 data AM Arogoundade, O Mutanga, J Odindi, O Odebiri Remote Sensing Applications: Society and Environment 30, 100981, 2023 | 8 | 2023 |
| Inter-seasonal estimation of grass water content indicators using multisource remotely sensed data metrics and the cloud-computing google earth engine platform A Masenyama, O Mutanga, T Dube, M Sibanda, O Odebiri, T Mabhaudhi Applied Sciences 13 (5), 3117, 2023 | 5 | 2023 |
| Estimating high-density aboveground biomass within a complex tropical grassland using Worldview-3 imagery R Naicker, O Mutanga, K Peerbhay, O Odebiri Environmental Monitoring and Assessment 196 (4), 370, 2024 | 4 | 2024 |
| Remote sensing of depth-induced variations in soil organic carbon stocks distribution within different vegetated landscapes O Odebiri, O Mutanga, J Odindi, R Slotow, P Mafongoya, R Lottering, ... Catena 243, 108216, 2024 | 3 | 2024 |
| Including methane emissions from agricultural ponds in national greenhouse gas inventories ME Malerba, T de Kluyver, N Wright, O Omosalewa, PI Macreadie Environmental Science & Technology 58 (19), 8349-8359, 2024 | 3 | 2024 |
| Mapping the spatial distribution of Lantana camara using high-resolution SPOT 6 data, in Mpumalanga communal areas, South Africa NP Madileng, O Mutanga, T Dube, O Odebiri Transactions of the Royal Society of South Africa 75 (3), 239-244, 2020 | 3 | 2020 |
| A Systematic Review of the Application of Remote Sensing Technologies in Mapping Forest Insect Pests and Diseases at a Tree-Level. M Mngadi, I Germishuizen, O Mutanga, R Naicker, WH Maes, O Odebiri, ... Remote Sensing Applications: Society and Environment, 101341, 2024 | 2 | 2024 |
| Mapping sub-surface distribution of soil organic carbon stocks in South Africa's arid and semi-arid landscapes: Implications for land management and climate change mitigation O Odebiri, O Mutanga, J Odindi, R Slotow, P Mafongoya, R Lottering, ... Geoderma regional 37, e00817, 2024 | 2 | 2024 |
| Pondi–a low-cost logger for long-term monitoring of methane, carbon dioxide, and nitrous oxide in aquatic and terrestrial systems ME Malerba, B Edwards, L Schuster, O Odebiri, J Glen, R Kelly, P Phan, ... EGUsphere 2025, 1, 2025 | | 2025 |
| Excluding livestock access to farm dams reduces methane emissions and boosts water quality O Odebiri, J Archbold, J Glen, PI Macreadie, ME Malerba Science of the Total Environment 951, 175420, 2024 | | 2024 |
| The application of deep learning for remote sensing of soil organic carbon stocks distribution in South Africa OO Olamide University of KwaZulu-Natal, 2022 | | 2022 |
Onisimo MutangaProfessor of Remote Sensing, University of KwaZulu-NatalAdresă de e-mail confirmată pe ukzn.ac.za
