Tobias Landmann
Tobias Landmann
Remote Sensing Solutions
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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