Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.
This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field.
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Timothy Dube is Professor of GIScience and Earth Observation in Environmental Science and Water. His research interests include the use of cutting-edge satellite and in-situ Earth Observation technologies in tracking the impacts of climate change, and in monitoring water resources and the environment. Professor Dube received the University of the Western Cape’s 2018 DVC Research and Innovation Award, and is an editor for the journal of Remote Sensing Applications: Society and Environment' (RSASE) and the Scientific African Journal.
Dr Munyradzi Davis Shekede is a spatial ecologist and a Senior Lecturer with experience in Geographic Information Science and Earth observation applications in natural resources management. Dr Shekede’s research interests are in the applications of Earth observation and Geoinformation science to understanding Earth system dynamics focusing on climate change, socio-ecological systems, and water resources. He has expertise in GIS, earth observation, environmental modeling, natural hazard modeling and assessment, environmental impact assessments and spatial ecology.
Dr Cletah Shoko is a Senior lecturer in Geospatial Sciences in the Department of Geography at the University of the Witwatersrand. She focuses on Geoinformation science and Earth observation applications in environmental assessment and monitoring, as well as their response to environmental change. Her research interests also include the development and testing of geospatial based models to derive essential information that can be used in biodiversity conservation, climate change mitigation and adaption, and disaster analysis.
Dr Terence Darlington Mushore is an experienced research scientist in remote sensing, disaster management, environmental management and climate science. Recently he was involved in a national project which revised agroecological regions of Zimbabwe using geospatial techniques. Following Cyclone Idai of 2019, he was also involved in a project to help affected communities understand interactions between climate and the environment. He is a seasoned Climate Scientist with experience in short, medium and long range forecasting as well as in applied Climate fields. His research interests involve efforts to understand and minimize impacts of adverse climate to socio-economic activities. Currently his research focuses on observation, monitoring and modelling the interaction between land surface and the thermal environment in urban areas of Africa using Remote Sensing.
Remote Sensing of Climate Variability provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.
Remote Sensing of Climate Variability is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides and key knowledge gaps in the field.
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