Abel Ramoelo

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Director: Centre for Environmental Studies

Associate Professor: Department of Geography, Geoinformatics and Meteorology

 

email:                [email protected]
Tel:                    +27 (0) 12 420 2017
Office:               Geography Building 2-1.3
Consultation:     By appointment, none on Wednesdays

 

Research profile

Prof. Abel Ramoelo is a Director of the Centre for Environmental Studies, and Associate Professor at the Department of Geography, Geoinformatics and Meteorology, University of Pretoria. Abel completed his first and second degrees in Environmental Sciences with Geography, Ecology and Resource Management as major subjects at the University of Venda, 2003 and 2004, respectively. He then completed MSc in Geoinformation Science and Earth Observation for Environmental Management and Modelling at four European Universities: University of Southampton (UK), Lund University (Sweden), Warsaw University (Poland) and Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente (The Netherlands). As a remote sensing specialist by profession, he has a PhD degree in remote sensing from the University of Twente (The Netherlands).

Abel worked as the Earth Observation research scientist for over-14 years, from Junior to Principal Researcher level, at the then Natural Resource and Environment Unit of the Council for Scientific and Industrial Research (CSIR). In 2018, he joined South African National Parks (SANParks) as a Regional Ecologist. He did not only focus on remote sensing research for assessing the vegetation state and change in National Parks, but also coordinated research activities beyond SANParks. He further acted as a conduit between scientists and management on addressing matters of biodiversity conservation.

He is an NRF rated scientist (C2) with core expertise on mapping vegetation health assessment, species (including invasive), biochemistry, and productivity as well as water quality and quantity using optical (hyperspectral and multispectral) and active (LiDAR, and SAR) remote sensing data at various scales, for informing decision pertaining to natural resource and environmental management (i.e. biodiversity conservation, land degradation, climate change impact, water resources) and food security. I am also involved in projects focusing on land cover and land use mapping, and change detection in natural, agricultural and urban landscapes. He supervises several MSc and PhD candidates with various Universities. He successfully supervised over 17 MScs and PhDs. He is currently supervising several Honours, MSc and PhD candidates. He published over 70 peer-reviewed scientific and conference papers, and book chapters.

Registered as a Professional Natural Scientist in the field of Geospatial Science with SACNASP. He is a member of the Editorial Board for the ISPRS International Journal of Photogrammetry and Remote Sensing. He is an Associate Editor for the International Journal of Applied Earth Observation and Geo-Information Science. He has been recently appointed as an Editor-in-Chief for SANParks’ KOEDOE journal: African Protected Area Conservation and Science journal, and Associate Editor for Multi – and hyperspectral Imaging: Frontiers in Remote Sensing Journal. He is a member of Geo-Information Society of South Africa (GISSA), South African Wetland Society, the African Association on Remote Sensing of Environment (AARSE), and the International Association of Landscape Ecology (IALE). He is a reviewer for several local and international journals. 

 

Awards

  • Emerging Researcher Award, Council for Scientific and Industrial Research (CSIR), 2012
  • PhD research funding: postgraduate development programme (DST-PDP), Department of Science and Technology and National Research Foundation, 2008-2011
  • Erasmus Mundus Scholarship, European Union, 2005-2007
  • Scare Skills Scholarship, Department of Labour and National Research foundation, 2003
  • School Medallion (Best Student in the School of Environmental Sciences), UNIVEN, 2012
  • Dr. Ahmed Cash Award (Best Student in the School of Environmental Sciences), UNIVEN, 2012
  • Vevisa Award (Best Student in the School of Environmental Sciences), UNIVEN, 2012
  • Vice Chancellor Merit Award, University of Venda, 2001, 2002
  • KFC Bursary Award (Best Student in the School), Luvhivhini Secondary School, Limpopo, 1998

 

Qualifications

  • Bachelor of Environmental Sciences (Geography, Ecology and Resource Management), University of Venda
  • Bachelor of Environmental Sciences Honours (Ecology and Resource Management), University of Venda
  • MSc (Geoinformation Science and Earth Observation for Environmental Management and Modelling) offered by four European Universities (UK, Poland, Sweden and The Netherlands)
  • PhD (Geoinformation Science and Earth Observation), University of Twente, (ITC), The Netherlands

 

Courses presented

  • GMA 705: Advance Remote Sensing (2012 – to date)
  • GMA 320: Remote Sensing (2022 – to date)
  • ENV 833: Trees in a multifunctional landscape (2022 – to date)

 

Research publications (journals)

 

Scopus H-index | Google Scholar H-index | ORCID ID

  • Nuwarinda H. Ramoelo A. Adelabu SA (2021) Assessing natural resource change in Vhembe biosphere and surroundings, Environmental Monitoring and Assessment, (accepted)

  • Adeyemi, A., Ramoelo, A., Moses Cho., Masemola, C. Spectral index to improve the extraction of built-up area from WorldView-2 imagery, Journal Applied Remote Sensing 15(2), 024510 (2021), doi: 10.1117/1.JRS.15.024510.

  • Majozi, N.P.; Mannaerts, C.M.; Ramoelo, A.; Mathieu, R.; Verhoef, W. (2021). Uncertainty and Sensitivity Analysis of a Remote-Sensing-Based Penman–Monteith Model to Meteorological and Land Surface Input Variables. Remote Sensing., 13, 882. https://doi.org/10.3390/rs13050882

  • Svinurai W., Hassen A., Tesfamariam E., Ramoelo A. (2021). Modelled effects of grazing strategies on native grass production, animal intake and growth in Brahman steers, African Journal of Range & Forage Science, pp. 1-11, https://doi.org/10.2989/10220119.2021.1878277

  • Svinurai W., Hassen A., Tesfamariam E., Ramoelo A. Cullen B. (2021. Calibration and evaluation of the Sustainable Grazing Systems pasture model for predicting native grass aboveground biomass production in southern Africa, African Journal of Range & Forage Science, pp.1-14, https://doi.org/10.2989/10220119.2021.1875501

  • Nzuza P., Ramoelo, A. Odindi J., Mwenge-Kahinda, J., Madonsela, S. (2020). Predicting land degradation using Sentinel-2 and environmental variables in the Lepellane catchment of the Greater Sekhukhune District, South Africa, Physics and the Chemistry of the Earth,

  • Masemola C. Cho MA. Ramoelo A. 2020. Sentinel-2 time series based optimal features and time window for mapping of invasive Australian acacias in KwaZulu Natal, South Africa, International Journal of Applied Earth Observations and Geoinformation, 93, https://doi.org/10.1016/j.jag.2020.102207

  • Masemola C. Cho MA. Ramoelo A. 2020. Towards a semi-automated mapping of Australia native invasive alien Acacia trees using Sentinel-2 and radiative transfer models in South Africa, ISPRS Journal of Photogrammetry and Remote Sensing, 166, pp. 153-168, doi: 10.1016/j.isprsjprs.2020.04.009

  • Chabalala Y, Adam E, Oumar Z, Ramoelo A. 2020. Exploiting the capabilities of Sentinel-2 and RapidEye for predicting grass nitrogen across different grass communities in a protected area, Applied Geomatics, https://doi.org/10.1007/s12518-020-00305-8

  • Sebinasi Dzikiti, Nebo Z Jovanovic, Richard DH Bugan, Abel Ramoelo, Nobuhle P Majozi, Alecia Nickless, Moses A Cho, David C Le Maitre, Zanele Ntshidi, Harrison H Pienaar, 2019. Comparison of two remote sensing models for estimating evapotranspiration: algorithm evaluation and application in seasonally arid ecosystems in South Africa, Journal of Arid Land, 11(4), 495-512

  • Cho MA and Ramoelo A, 2019. Optimal dates for assessing long-term changes in tree-cover in the semi-arid biomes of South Africa using MODIS NDVI time series (2001–2018), International Journal of Applied Earth Observation and Geoinformation, 81, pp. 27-36

  • Masemola C. Cho MA. Ramoelo A. 2019. Assessing the Effect of Seasonality on Leaf and Canopy Spectra for the Discrimination of an Alien Tree Species, Acacia Mearnsii, From Co-Occurring Native Species Using Parametric and Nonparametric Classifiers, IEEE Transactions on Geoscience and Remote Sensing, 57 (8), pp. 5853-5867, DOI: 10.1109/TGRS.2019.2902774

  • Dube, T.; Pandit, S.; Shoko, C.; Ramoelo, A.; Mazvimavi, D.; Dalu, T. 2019. Numerical Assessments of Leaf Area Index in Tropical Savanna Rangelands, South Africa Using Landsat 8 OLI Derived Metrics and In-Situ Measurements. Remote Sens.11, 829.

  • Laven Naidoo, Heidi van Deventer, Abel Ramoelo, Renaud Mathieu, Basanda Nondlazi, Ridhwannah Gangat, 2019. Estimating above ground biomass as an indicator of carbon storage in vegetated wetlands of the grassland biome of South Africa, International Journal of Applied Earth Observation and Geoinformation, 78, 118-129

  • Ndou, N.N., Palamuleni L.G., Ramoelo, A. 2018. Modelling depth to groundwater level using SEBAL-based dry season potential evapotranspiration in the upper Molopo river catchment, South Africa, The Egyptian Journal of Remote Sensing and Space Science, 21(3), 237 - 248

  • Svinurai, W. Hassen A, Eyob T., Ramoelo A. 2018. Performance of ratio-based, soil adjusted and atmospheric corrected multispectral vegetation indices in predicting herbaceous above ground biomass in a Colophospermum mopane tree-shrub savanna, Grass and Forage Science, 73, 727-739.

  • Ramoelo, A.; Cho, M.A. 2018. Explaining Leaf Nitrogen Distribution in a Semi-Arid Environment Predicted on Sentinel-2 Imagery Using a Field Spectroscopy Derived Model. Remote Sensing, 10, 269.

  • Madonsela S., Cho. MA., Ramoelo A. Mutanga O., Naidoo L. 2018. Estimating tree species diversity in the savannah using NDVI and woody canopy cover, International Journal of Applied Earth Observation and Geoinformation, 66, pp106-115

  • Kapangazwiwiri E., Mwenge Kahinda J., Dzikiti S., Ramoelo A. etc. 2018. Validation and verification of lawful water use in South Africa: An overview of the process in the KwaZulu Natal Province, Physics and Chemistry of the Earth, Parts A/B/V, 105, pp: 274 - 282

  • Madonsela S., Cho M.A., Ramoelo, A. Mutanga O. 2017. Remote sensing of species diversity using Landsat 8 spectral variables, ISPRS Journal of Photogrammetry and Remote Sensing, 133, 116-127

  • Majozi, N. P., Mannaerts, C. M., Ramoelo, A., Mathieu, R., Nickless, A., and Verhoef, W. 2017, 2017. Analysing surface energy balance closure and partitioning over a semi-arid savanna FLUXNET site in Skukuza, Kruger National Park, South Africa, Hydrol. Earth Syst. Sci., 21, 3401-3415, https://doi.org/10.5194/hess-21-3401-2017,

  • Cho M., Ramoelo A., Dziba L. 2017. Response of Land Surface Phenology to Variation in Tree Cover during Green-Up and Senescence Periods in the Semi-Arid Savanna of Southern Africa, Remote Sensing, 9(7), pp: 689

  • Majozi N.P, Mannaerts C.M., Ramoelo A., Mathieu R., Mudau A.E., Verhoef W. 2017. An intercomparison of satellite-based daily evapotranspiration estimates under different eco-climatic regions in South Africa, Remote Sensing, 9, 307

  • Madonsela S., Cho M.A. Mathieu R., Mutanga O. Ramoelo A. et al. (2017), Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species, International Journal of Applied Earth Observation and Geo-information, 58, pp. 65-73

  • Kaszta Z., van de Kerchove R., Ramoelo A., Cho M.A., Madonsela S., Mathieu R., Wolf E. 2016. Seasonal separation of African savanna components using WorldView-2 imagery: A comparison of pixel and object based approaches and selected classification algorithms, Remote Sensing, 8(9), 763

  • Fonteh, M. , Theophile, F. , Cornelius, M. , Main, R. , Ramoelo, A. and Cho, M. (2016) Assessing the Utility of Sentinel-1 C Band Synthetic Aperture Radar Imagery for Land Use Land Cover Classification in a Tropical Coastal Systems When Compared with Landsat 8. Journal of Geographic Information System, 8, 495-505. doi: 10.4236/jgis.2016.84041.

  • Masemola C, Cho M.A, Ramoelo, A. 2016. Comparison of Landsat 8 OLI and Landsat 7 ETM+ for estimating grassland LAI using model inversion and spectral indices: case study of Mpumalanga, South Africa, International Journal of Remote Sensing, 37(18), pp. 4401-4419

  • Mushia N.M. Ramoelo A, Ayisi K.A. 2016. The Impact of the Quality of Coal Mine Stockpile Soils on Sustainable Vegetation Growth and Productivity, Sustainability, 8, 546, doi:10.3390/su8060546

  • Kaszta Z, Marino J, Ramoelo A, Wolff E. 2016. Bulk feeder or selective grazer: African buffalo space use patterns based on fine-scaled remotely sensed data on forage quality and quantity, Ecological Modelling, 323, pp. 115-122

  • Dzikiti S. Gush M.B, Le Maitre D.C., Maherry A., Jovanovic N.Z. Ramoelo A., Cho M.A. 2016. Quantifying potential water savings from clearing invasive alien Eucalyptus camaldulensis using in situ and high-resolution remote sensing data in the Berg River Catchment, Western Cape, South Africa, Forest Ecology and Management, 361, 69-80.

  • Adeyemi, A, Botai J. Ramoelo A. van der Merwe F., Tsela P. 2015. Effects of impervious surface and vegetation changes on mean surface temperature over Tshwane metropolis, Gauteng Province, South Africa, South African Journal of Geomatics, 4(4), 1 – 18.

  • Ramoelo A. Cho M.A. Mathieu R, Madonsela S., van de Kerchove R., Kaszta Z., Wolff E. 2015. Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data, International Journal of Applied Earth Observation and Geo-information, 43, 43-54.

  • Ramoelo A., Cho MA. Mathieu R., Skidmore A.K. 2015. Potential of Sentinel-2 spectral configuration to assess rangeland quality, Journal of Applied Remote Sensing, 9(1), 094096

  • Cho MA., Malahlela O., Ramoelo A. 2015. Assessing the utility of WorldView-2 imagery for tree species mapping in South African Subtropical humid forest and the conservation implications: Dukuduku forest patch as case study, International Journal of Applied Earth Observation and Geoinformation, 38, 349-357

  • Van Deventer H., Cho M., Mutanga O., Ramoelo A. 2015. Capability of models to predict leaf N and P across four seasons for six sub-tropical forest evergreen trees, ISPRS Journal of Photogrammetry and Remote Sensing, 101, 209 – 220.

  • Ramoelo A., Dzikiti S., van Deventer H., Maherry A., Cho M.A., Gush, M. 2015. Potential to monitor plant stress using remote sensing tools, Journal of Arid Environment, 113, 134-144

  • Ramoelo A., Majozi N, Mathieu R., Jovanovic N., Nickless A., Dzikiti S. 2014. Validation of Global Evapotranspiration Product (MOD16) using flux tower data in the Africa Savanna, South Africa, Remote Sensing, 6, pp. 7406-7423.

  • Mutanga S, Van Schoor C, Olorunju PL, Gonah T, Ramoelo A. 2013. Determining the best optimum time for predicting sugarcane yield using hyper-temporal satellite Imagery. Advances in Remote Sensing, 2(3), pp. 269-275

  • Ullah S., Skidmore A.K., Ramoelo A., Groen T., Naeem M., Ali A. 2014. Retrieval of leaf water content spanning the visible to thermal infrared spectra, ISPRS Journal of Photogrammetry and Remote Sensing, 93, pp. 56-64

  • Ayeni A.O., Cho M.A., Ramoelo A., Mathieu R., Soneye A.S.O, Adegoke J.O. (2013). Could local perception of water stress be explained by LULCC?, Geoinformatics and Geostatistics: An Overview, S1

  • Mutanga S., Ramoelo A., Gonah T. 2013. Trend analysis of small scale commercial sugarcane production in post resettlement areas of Mkwasine Zimbabwe, using hyper-temporal satellite imagery, Advances in Remote Sensing, 2, pp.29-34

  • Cho M.A. Ramoelo A, Debba P, Mutanga O, Mathieu R. van Deventer H. Ndlovu N. 2013. Assessing the effects of subtropical forest fragmentation on leaf nitrogen distribution using remote sensing data, Landscape Ecology, 28(8), 1470-1491.

  • Ramoelo A, Skidmore A.K. Schlerf M. Mathieu R, Heitkonig I.M.A. Cho M.A. 2013. Savanna grass nitrogen to phosphorus ratio estimation using field spectroscopy and the potential for estimation with imaging spectroscopy, International Journal of Applied Earth Observation and Geoinformation, 23, pp.334-343.

  • Ramoelo A, Skidmore A.K., Cho M.A., Mathieu R., Heitkonig I.M.A., Dudeni-Tlhone-Dudeni N, Schlerf M., Prins H.H.T. 2013. Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data, ISPRS Journal of Photogrammetry and Remote Sensing, 82, pp. 27-40

  • Ramoelo A, Skidmore A.K. Cho M.A. Schlerf M. Mathieu R, Heitkonig I.M.A.2012. Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor, International Journal of Applied Earth Observation and Geoinformation,19: Pages 151-162

  • Moses Azong Cho, Renaud Mathieu, Gregory P. Asner, Laven Naidoo , Jan van Aardt, Abel Ramoelo, Pravesh Debba, Konrad Wessels , Russell Main, Izak P.J. Smit, Barend Erasmus. 2012. Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system, Remote Sensing of Environment, 125 (214-226)

  • Ramoelo A, Skidmore A, Schlerf M, Mathieu R, Heitkonig I.M.A. 2011. Water removed spectra increase the retrieval accuracy when estimating grass nitrogen and phosphorus concentration estimations, ISPRS Photogrammetric and Remote Sensing Journal, 66(4), Pages: 408-417

  • Main R; Azong Cho M; Mathieu R; O’Kennedy MM; Ramoelo A; Koch S .2011. An investigation into robust spectral indices for leaf chlorophyll estimation, ISPRS Photogrammetric and Remote Sensing Journal, 66(6), Pages: 751-761

 

Research publications (conferences)

  • Semela M., Ramoelo A., Adelabu S., 2020. Testing and comparing the applicability of sentinel-2 and Landsat 8 reflectance data in estimating mountainous herbaceous biomass before and after fire using random forest modelling, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) proceedings, Virtual Symposium, 26th September – 2nd October 2020

  • Christiane Schmullius, Marcel Urban, Andreas Hirner, Christian Berger, Konstantin Schellenberg, Abel Ramoelo, Izak Smit, Tercia Strydom, George Chirima, Theunis Morgenthal, Brigitte Melly, Ursula Gessner, Nosiseko Mashiyi, Andiswa Mlisa, Mahlatse Kganyago, Jussi Baade, 2020. Earth observation strategies for degradation monitoring in South Africa with Sentinels - results from the spaces 2 SALDI-project year 1, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) proceedings, Virtual Symposium, 26th September – 2nd October 2020

  • Ramoelo A. Cho. MA. 2016. Estimation of leaf nitrogen concentration using spectrometer data to calibrate sentinel-2 image, 11th International Conference of the African Association of Remote Sensing of Environment (AARSE), Hotel Africana, Kampala, Uganda, 23-28 October 2016

  • Ramoelo A. Cho MA. Mathieu R. 2015. Use of remote sensing-based landscape matrix for understanding grazing patterns in the protected areas of the African savannah, 9th International Association for Landscape Ecology (IALE) World Congress, Portland, Oregon State, USA, 5 – 10 July 2015.

  • Ramoelo A. Cho M.A. Mathieu R. 2014. Challenges and opportunities for leaf nitrogen estimation as an indicator for rangeland quality using Earth Observation in the savannah ecosystems, In. Ahmed F., Mutanga O. Zeil-Fahlbusch E. 10th International Conference of the African Association of Remote Sensing of Environment (AARSE 2014): Space Technologies for Societal Benefits in Africa, 27 – 31 October 2014, University of Johannesburg.

  • Ramoelo A. Cho M.A. 2014. Dry season biomass estimation as an indicator of rangeland quantity using multi-scale remote sensing data, In. Ahmed F., Mutanga O. Zeil-Fahlbusch E. 10th International Conference of the African Association of Remote Sensing of Environment (AARSE 2014): Space Technologies for Societal Benefits in Africa, 27 – 31 October 2014, University of Johannesburg.

  • Cho M.A. Ramoelo A. Holloway J. 2014. Estimating leaf area index (LAI) by inversion of PROSAIL radiative transfer model using SPOT 6 imagery, In. Ahmed F., Mutanga O. Zeil-Fahlbusch E. 10th International Conference of the African Association of Remote Sensing of Environment (AARSE 2014): Space Technologies for Societal Benefits in Africa, 27 – 31 October 2014, University of Johannesburg.

  • Ramoelo, A. Cho M.A, Mathieu R. Skidmore, A.K. 2014. The potential of Sentinel-2 spectral configuration to assess rangeland quality, SPIE Remote Sensing Conference, 22-25 September, Amsterdam, The Netherlands.

  • Cho M.A.., Ramoelo A., Mathieu R. 2014. Estimation of leaf area index of South Africa from MODIS imagery by inversion of PROSAIL radiative transfer model, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) proceedings, Quebec City, Canada, 14-18 July.

  • Cho M.A.., Ramoelo A., Skidmore A.K. 2014. Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using PROSPECT radiative transfer model, IEEE International Geoscience and Remote Sensing Symposium (IGARSS) proceedings, Quebec City, Canada, 14-18 July.

  • Ramoelo A. Cho M.A. Modonsela S, Mathieu R, van der Korchove R, Kaszta Z, Wolff E. 2014. A potential to monitor nutrients as an indicator of rangeland quality using spaceborne remote sensing, 8th International Symposium on Digital Earth, Kuching, Sarawak, Malaysia, 26-30 August 2013, IOP conference Series: Earth and Environmental Science (18), 012094,

  • Pullanagari, R. R., Dynes, A. R., Warren, M. K., Yule, I. J., Thulin, S., Knox, N. M., & Ramoelo, A. 2013. Remote sensing of pasture quality. Paper presented at the 22nd International Grassland Congress, Revitalising Grasslands to Sustain our Communities, 15-19 September, Sydney, Australia

  • Dudeni-Tlhone N; Ramoelo A; Debba P; Cho MA; Mathieu R. 2012, Herbaceous biomass prediction from environmental and remote sensing indicators, Proceedings of the 54th  Annual conference of the South African Statistical Association for 2012 (SASA2012), Nelson Mandela Metropolitan University, Port Elizabeth, 7-9 November 2012, 9pp, South Africa

  • Ramoelo A, Cho M, Mathieu R, Skidmore A.K., Schlerf M, Heitkonig I.M.A. 2012. Estimating grass nutrients and biomass as indicators of rangeland quality in the savanna ecosystem, African Association of Remote Sending of Environment (AARSE), 28 October to 03 November 2012, EL Jadida, Morrocco

  • Ramoelo A, Cho M.A., Mathieu R., Skidmore A.K., Schlerf M., Heitkonig IMA., Prins HHT. 2011. Integrating environmental and in situ hyperspectral remote sensing variables for grass nitrogen estimation in savanna ecosystems, 34th International Symposium on Remote Sensing of Environment (ISRSE), Sydney, 10-15 April 2011

  • Dudeni-Tlhone N, Ramoelo A, Debba P, Cho MA, Mathieu R, 2011, Modelling grass nutrients using remote sensing and geostatistics tools, Proceedings of the 53th South African Statistical Association Conference 2011 (SASA2011), CSIR International Convention Centre, Pretoria, 31 October-4 November 2011, Pages: 9pp

  • Dudeni-Tlhone N, Ramoelo A, Cho MA; Debba P, Mathieu R, 2010, Modelling nutrient concentration to determine the environmental factors influencing grass quality, South African Statistical Association Conference 2010 (SASA2010), Potchefstroom, South Africa, 8-12 November 2010

  • Cho M, Van Aardt J, Main R, Majeke B, Ramoelo A, Mathieu R, Norris-Rogers M, Du Plessis R. 2009. Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in KwaZulu-Natal, South Africa. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), proceedings, Cape Town, South Africa, July 12-17, 2009, Pages: 264-267

  • Cho MA, Debba P, Mathieu R, Van Aardt J, Asner G, Naidoo L, Main R, Ramoelo A, Majeke B. 2009. Spectral variability within species and its effects on savanna tree species discrimination, Conference Attendance IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009, Pages: 191-193

 

Research publications (book chapters, research reports, theses)

  • Dziba, L. Ramoelo, A. Ryan, C. et al. 2020. Scenarios for Just and Sustainable Features in the Miombo Woodlands, In Rebeiro, N, Katerere, Y, Chirwa, P.W., Grundy, I.M. Miombo Woodlands in a Changing Environment: Securing the Resilience and Sustainability of People and Woodlands, Springer Nature, https://link.springer.com/book/10.1007%2F978-3-030-50104-4.

  • Dzikiti S. Richard Bugan, David le Maitre, Zanele Ntshidi, Abel Ramoelo, Mark Gush, Nebo Jovanovic, Klaudia Schachtschneider, 2018. Comparison of water use by Prosopis spp and the cooccurring Vachellia karroo trees before and after clearing the invasions: implications on groundwater, WRC Report No 2256/1/18, ISBN 978-1-4312-0974-3

  • Ramoelo A., Stolter, C., Joubert, D., Cho, M.A., Groengroeft, A., Madibela, O.R. 2018. Rangeland monitoring and assessment: a review, In: Climate change and adaptive land management in southern Africa – assessments, changes, challenges and solutions (ed. By Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Hlmschrot, J.,& Jurgens, N.), pp; 170 - 176. Biodiversity and Ecology, 6, Klaus Hess Publishers, Gottingen and Windhoek.

  • Stolter, C., Ramoelo A., Kesch, K., , Madibela, O.R., Cho, M.A., Joubert, D., 2018. Forage Quality and Availability for Large Herbivores, In: Climate change and adaptive land management in southern Africa – assessments, changes, challenges and solutions (ed. By Revermann, R., Krewenka, K.M., Schmiedel, U., Olwoch, J.M., Hlmschrot, J.,& Jurgens, N.), pp; 170 - 176. Biodiversity and Ecology, 6, Klaus Hess Publishers, Gottingen and Windhoek.

  • Makapela L., Newby T., Gibson L, Majozi N, Mathieu R, Ramoelo A etc. 2015. Review of the use of Earth Observation and Remote Sensing in Water Resource Management in South Africa, Water Research Commision (WRC), WRC Report No. KV 329/15, ISBN:978-1-4312-0526-4.

- Author Department of Geography, Geoinformatics and Meteorology
Published by Lourens Snyman

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