Utilizing Earth Observation Data in Reaching Sustainable Development Goals
Language: English
Published by Elsevier Science & Technology, Elsevier Dez 2025, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Neuware - Utilizing Earth Observation Data in Reaching Sustainable Development Goals explores the transformative potential of Earth observation data through case studies showcasing its pivotal role in achieving Sustainable Development Goals (SDGs) in developing regions. The book begins with a historical and theoretical overview of EO data missions, then shifts to actionable SDGs, highlighting successes, challenges, and lessons learned. This comprehensive work delves into the dynamic interplay between technology and sustainability. The book utilizes a consistent template for each chapter, exploring instances where satellite imagery, remote sensing, and geospatial analytics converge to provide actionable insights.It emphasizes both achievements and obstacles, offering practical solutions and strategies for effective implementation.
Seller Inventory # 9780443302046
- Title
- Utilizing Earth Observation Data in Reaching Sustainable Development Goals
- Author
- Aqil Tariq
- Publisher
- Elsevier Science & Technology, Elsevier Dez 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443302049
- ISBN 13
- 9780443302046
- Item weight
- 1,000 grams
- Dimensions
- 234x190x35 mm
It emphasizes both achievements and obstacles, offering practical solutions and strategies for effective implementation.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Aqil Tariq is a Research Associate in the Department of Wildlife, Fisheries, and Aquaculture at Mississippi State University, USA. His research interests are 3D geoinformation, urban analytics, spatial analysis to examine land use/land cover, geospatial data science, urban planning, crop identification using SAR and optical satellite imagery, agriculture monitoring, forest fire, forest monitoring, forest cover dynamics, spatial statistics, multi-criteria algorithms, ecosystem sustainability, hazards risk reduction, statistical analysis and modeling (Google Earth Engine, HEC-RAS, FlowR, RAMMS, GeoClaw, COSI-Corr, SfM) using Python, R, and MATLAB. He is a member of different international science communities, i.e., Individual Membership of ISPRS, International Water Resources Association, International Association of Geodesy, and the Surveying & Spatial Sciences Institute (SSSI). He has attended more than 30 training workshops from the National Aeronautics and Space Agency (NASA) ARSET program.
Dr. Umar Iqbal is an Associate Professor of Electrical Engineering at Illinois State University, USA, with research expertise in autonomous systems, sensor fusion, and intelligent navigation technologies. He has published over 50 papers (1000+ citations, h-index 18), and his work spans MEMS-based inertial navigation systems, GNSS integration, and advanced radar/LiDAR sensing, complemented by AI-driven positioning solutions. He has secured over $1.5 million in competitive research funding and actively collaborates with international research teams. Dr. Iqbal serves as an editor and reviewer for leading engineering journals, and his leadership experience spans roles in both the United States and Canada.
Dr. Artan Hysa is a Lecturer at Epoka University, currently working on exploring new methods of land use/ land cover (LULC) data utility for nature-based solutions. His focus is on assessing the quality and inter-connectivity of the blue-green infrastructure as a crucial resource for providing various ecosystem services. In the scope of the doctoral research, he has explored transdisciplinary research methods and digital techniques leading to holistic findings in spatial management and planning. More precisely, he is working on using land use/land cover data in various sustainable spatial planning and management decision-making processes.
"About the title" may belong to another edition of this title.
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