| Application of hyperspectral remote sensing for flower mapping in African savannas T Landmann, R Piiroinen, DM Makori, EM Abdel-Rahman, S Makau, ... Remote Sensing of Environment 166, 50-60, 2015 | 90 | 2015 |
| Predicting spatial distribution of key honeybee pests in Kenya using remotely sensed and bioclimatic variables: Key honeybee pests distribution models DM Makori, AT Fombong, EM Abdel-Rahman, K Nkoba, J Ongus, J Irungu, ... ISPRS International Journal of Geo-Information 6 (3), 66, 2017 | 61 | 2017 |
| The utility of AISA eagle hyperspectral data and random forest classifier for flower mapping EM Abdel-Rahman, DM Makori, T Landmann, R Piiroinen, S Gasim, ... Remote Sensing 7 (10), 13298-13318, 2015 | 35 | 2015 |
| The use of multisource spatial data for determining the proliferation of stingless bees in Kenya DM Makori, EM Abdel-Rahman, N Ndungu, J Odindi, O Mutanga, ... GIScience & Remote Sensing 59 (1), 648-669, 2022 | 12 | 2022 |
| Suitability of resampled multispectral datasets for mapping flowering plants in the Kenyan savannah DM Makori, EM Abdel-Rahman, T Landmann, O Mutanga, J Odindi, ... Plos one 15 (9), e0232313, 2020 | 3 | 2020 |
| Multi-pronged abundance prediction of bee pests’ spatial proliferation in Kenya DM Makori, EM Abdel-Rahman, J Odindi, O Mutanga, T Landmann, ... International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | | 2024 |
| Observation and Geoinformation DM Makori, EM Abdel-Rahman, J Odindi, O Mutanga, T Landmann, ... International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | | 2024 |
| Use of geospatial techniques to improve bee farming and bee health across four main agroecological zones in Kenya. DM Makori | | 2023 |
| The use of multisource spatial data for determining the proliferation of stingless bees in Kenya MM David, AR Elfatih M, N Nelly, O John, M Onisimo, L Tobias, EZ Henri, ... Taylor & Francis, 2022 | | 2022 |
