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Elhadi Adam is an associate professor in the School of Geography, Archeology and Environmental Studies at the University of Witwatersrand- Johannesburg (South Africa). He completed his Undergrad studies and MSc in Geography and Environmental Sciences at the University of Khartoum (Sudan) and his PhD on Hyperspectral Remote Sensing of Wetland vegetation quality and quantity at the University of KwaZulu-Natal (South Africa) in 2010. His research lies in Remote Sensing (RS) and Geographic information system (GIS) applications in applied environmental science, with a special focus on mapping and monitoring vegetation species, and agricultural and plantation forest land use. His focus in recent years has been on strengthening his field of research by developing new remote sensing techniques based on machine learning algorithms for detecting subtle patterns in vegetation quality and quantity, water quality, disease infestation on plantation forests and crops as well as quantification of forest degradation and its impact on biodiversity and ecosystem condition.
Dr Adam has successfully supervised many MSc and PhD students

Topic 1. Mapping, monitoring, and assessment for a better understanding of ecosystem services in a context of changes, from local to global change.
Topic 2. Understanding and predicting multiple pressures (including anthropogenic pressures) - impact - response relationships in ecosystem services through advanced methods and techniques.
Topic 3. New tools and solutions for a better integration of ecosystem services into the management of water resources.

Elhadi Adam is an associate professor in the School of Geography, Archeology and Environmental Studies at the University of Witwatersrand- Johannesburg (South Africa). He completed his Undergrad studies and MSc in Geography and Environmental Sciences at the University of Khartoum (Sudan) and his PhD on Hyperspectral Remote Sensing of Wetland vegetation quality and quantity at the University of KwaZulu-Natal (South Africa) in 2010. His research lies in Remote Sensing (RS) and Geographic information system (GIS) applications in applied environmental science, with a special focus on mapping and monitoring vegetation species, and agricultural and plantation forest land use. His focus in recent years has been on strengthening his field of research by developing new remote sensing techniques based on machine learning algorithms for detecting subtle patterns in vegetation quality and quantity, water quality, disease infestation on plantation forests and crops as well as quantification of forest degradation and its impact on biodiversity and ecosystem condition.
Dr Adam has successfully supervised many MSc and PhD students

hyperspectral and multispectral remote sensing (earth observation), image processing, gis, modelling for environmental applications, wetlands and freshwater ecosystem

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