Lobina Palamuleni
Lobina Palamuleni
Professor of Geography and environmental science
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Physico-chemical and microbial analysis of selected borehole water in Mahikeng, South Africa
L Palamuleni, M Akoth
International journal of environmental research and public health 12 (8…, 2015
Evaluating land cover change and its impact on hydrological regime in Upper Shire river catchment, Malawi
LG Palamuleni, PM Ndomba, HJ Annegarn
Regional Environmental Change 11, 845-855, 2011
Effect of sanitation facilities, domestic solid waste disposal and hygiene practices on water quality in Malawi’s urban poor areas: a case study of South Lunzu Township in the…
LG Palamuleni
Physics and Chemistry of the Earth, Parts A/B/C 27 (11-22), 845-850, 2002
Impact of land use on water quality in the Likangala catchment, southern Malawi
D Pullanikkatil, LG Palamuleni, TM Ruhiiga
African journal of aquatic science 40 (3), 277-286, 2015
Land use/land cover change and implications for ecosystems services in the Likangala River Catchment, Malawi
D Pullanikkatil, LG Palamuleni, TM Ruhiiga
Physics and Chemistry of the Earth, Parts A/B/C 93, 96-103, 2016
Assessment of land use change in Likangala River catchment, Malawi: A remote sensing and DPSIR approach
D Pullanikkatil, L Palamuleni, T Ruhiiga
Applied Geography 71, 9-23, 2016
A comparative land use-based analysis of noise pollution levels in selected urban centers of Nigeria
DO Baloye, LG Palamuleni
International journal of environmental research and public health 12 (10…, 2015
Modelling depth to groundwater level using SEBAL-based dry season potential evapotranspiration in the upper Molopo River Catchment, South Africa
NN Ndou, LG Palamuleni, A Ramoelo
The Egyptian Journal of Remote Sensing and Space Science 21 (3), 237-248, 2018
Performance assessment of an improved cook stove (Esperanza) in a typical domestic setting: implications for energy saving
MF Chagunda, C Kamunda, J Mlatho, C Mikeka, L Palamuleni
Energy, Sustainability and Society 7 (1), 1-9, 2017
Land cover mapping in the Upper Shire River catchment in Malawi using Landsat satellite data
LG Palamuleni, HJ Annegarn, T Landmann
Geocarto International 25 (7), 503-523, 2010
An environmental risk assessment of the Klip river using water quality indices
T Marara, LG Palamuleni
Physics and Chemistry of the Earth, Parts A/B/C 114, 102799, 2019
Unsustainable trade-offs: Provisioning ecosystem services in rapidly changing Likangala River catchment in southern Malawi
D Pullanikkatil, PJ Mograbi, L Palamuleni, T Ruhiiga, C Shackleton
Environment, Development and Sustainability 22, 1145-1164, 2020
Effects of soil type on density of trees and nutritive value of tree leaves in selected communal areas of South Africa
TS Beyene, V Mlambo, KE Ravhuhali, LG Palamuleni
South African Journal of Animal Science 50 (1), 88-98, 2020
Land use/cover changes and vulnerability to flooding in the Harts catchment, South Africa
TH Kabanda, LG Palamuleni
South African Geographical Journal 95 (1), 105-116, 2013
Land use and land cover change as a consequence of the South African land reform program: A remote sensing approach
Z Lidzhegu, LG Palamuleni
Journal of Food, Agriculture and Environment 10 (3), 1441-1447, 2012
Spatial variation of age at marriage in South Africa
LG Palamuleni, ME Palamuleni
Journal of Social Sciences 29 (1), 39-46, 2011
A comparative analysis of the morphology and nutritive value of five South African native grass species grown under controlled conditions
KE Ravhuhali, V Mlambo, TS Beyene, LG Palamuleni
African journal of range & forage science 36 (1), 67-70, 2019
Modelling a critical infrastructure-driven spatial database for proactive disaster management: A developing country context
DO Baloye, LG Palamuleni
Jmb: Journal of Disaster Risk Studies 8 (1), 1-14, 2016
Evaluating derived vegetation indices and cover fraction to estimate rangeland aboveground biomass in semi-arid environments
NG Fajji, LG Palamuleni, V Mlambo
South African Journal of Geomatics 6 (3), 333-348, 2017
Mapping rural savanna woodlands in malawi: a comparison of maximum likelihood and fuzzy classifiers.
L Palamuleni, H Annegarn, M Kneen, T Landmann
2007 IEEE International Geoscience and Remote Sensing Symposium, 1260-1264, 2007
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