| The Southern Africa Fire Network (SAFNet) regional burned‐area product‐validation protocol DP Roy, PGH Frost, CO Justice, T Landmann, JL Le Roux, K Gumbo, ... International Journal of Remote Sensing 26 (19), 4265-4292, 2005 | 152 | 2005 |
| Characterizing the surface heterogeneity of fire effects using multi‐temporal reflective wavelength data DP Roy, T Landmann International Journal of Remote Sensing 26 (19), 4197-4218, 2005 | 113 | 2005 |
| Advances in crop insect modelling methods—Towards a whole system approach HEZ Tonnang, BDB Hervé, L Biber-Freudenberger, D Salifu, ... Ecological Modelling 354, 88-103, 2017 | 109 | 2017 |
| The Southern African Regional Science Initiative (SAFARI 2000): overview of the dry season field campaign RJ Swap, HJ Annegarn, JT Suttles, J Haywood, MC Helmlinger, C Hely, ... South African Journal of Science 98 (3), 125-130, 2002 | 106 | 2002 |
| Emissions of major gaseous and particulate species during experimental burns of southern African biomass WC Keene, JM Lobert, PJ Crutzen, JR Maben, DH Scharffe, T Landmann, ... Journal of Geophysical Research: Atmospheres 111 (D4), 2006 | 103 | 2006 |
| 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 | 82 | 2015 |
| Monitoring vegetation dynamics with medium resolution MODIS-EVI time series at sub-regional scale in southern Africa O Dubovyk, T Landmann, BFN Erasmus, A Tewes, J Schellberg International Journal of Applied Earth Observation and Geoinformation 38 …, 2015 | 68 | 2015 |
| Wide area wetland mapping in semi-arid Africa using 250-meter MODIS metrics and topographic variables T Landmann, M Schramm, RR Colditz, A Dietz, S Dech Remote Sensing 2 (7), 1751-1766, 2010 | 67 | 2010 |
| Distribution and abundance of key vectors of Rift Valley fever and other arboviruses in two ecologically distinct counties in Kenya R Sang, S Arum, E Chepkorir, G Mosomtai, C Tigoi, F Sigei, OW Lwande, ... PLoS neglected tropical diseases 11 (2), e0005341, 2017 | 56 | 2017 |
| Characterizing sub-pixel Landsat ETM+ fire severity on experimental fires in the Kruger National Park, South Africa T Landmann South African Journal of Science 99 (7), 357-360, 2003 | 54 | 2003 |
| Spatial analysis of human-induced vegetation productivity decline over eastern Africa using a decade (2001–2011) of medium resolution MODIS time-series data T Landmann, O Dubovyk International Journal of Applied Earth Observation and Geoinformation 33, 76-82, 2014 | 51 | 2014 |
| 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 | 49 | 2017 |
| A comparative analysis of PlanetScope and Sentinel-2 space-borne sensors in mapping Striga weed using Guided Regularised Random Forest classification ensemble BT Mudereri, T Dube, EM Adel-Rahman, S Niassy, E Kimathi, Z Khan, ... Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 42, 701-708, 2019 | 45 | 2019 |
| MODIS-based change vector analysis for assessing wetland dynamics in Southern Africa T Landmann, M Schramm, C Huettich, S Dech Remote Sensing Letters 4 (2), 104-113, 2013 | 41 | 2013 |
| Distribution and diversity of the vectors of Rift Valley fever along the livestock movement routes in the northeastern and coastal regions of Kenya SO Arum, CW Weldon, B Orindi, T Landmann, DP Tchouassi, ... Parasites & vectors 8 (1), 1-9, 2015 | 38 | 2015 |
| Evaluating the sequential masking classification approach for improving crop discrimination in the Sudanian Savanna of West Africa G Forkuor, C Conrad, M Thiel, T Landmann, B Barry Computers and Electronics in Agriculture 118, 380-389, 2015 | 36 | 2015 |
| Quantifying the impacts of environmental factors on vegetation dynamics over climatic and management gradients of Central Asia O Dubovyk, T Landmann, A Dietz, G Menz Remote Sensing 8 (7), 600, 2016 | 33 | 2016 |
| 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 | 33 | 2015 |
| Is it possible to discern Striga weed (Striga hermonthica) infestation levels in maize agro-ecological systems using in-situ spectroscopy? BT Mudereri, T Dube, S Niassy, E Kimathi, T Landmann, Z Khan, ... International Journal of Applied Earth Observation and Geoinformation 85, 102008, 2020 | 32 | 2020 |
| Importance of Remotely-Sensed Vegetation Variables for Predicting the Spatial Distribution of African Citrus Triozid (Trioza erytreae) in Kenya K Richard, EM Abdel-Rahman, SA Mohamed, S Ekesi, C Borgemeister, ... ISPRS International Journal of Geo-Information 7 (11), 429, 2018 | 32 | 2018 |
Elfatih M. Abdel-RahmanDepartment of Agronomy, Faculty of Agriculture, University of KhartoumVerified email at icipe.org
