Remote Sensing and Climate Dynamics

Monitoring Impacts, Understanding Change, and Guiding Solutions
Erscheinungsjahr 2026
ISBN: 978-0-443-49080-4
Verlag: Elsevier Science

Buch, Englisch, 425 Seiten, Format (B × H): 191 mm x 235 mm

Remote Sensing and Climate Dynamics: Monitoring Impacts, Understanding Change, and Guiding Solutions delivers a thorough exploration of how remote sensing technologies are revolutionizing climate science by providing critical data to observe and analyze Earth's changing climate system. The book begins by establishing the urgency of climate change monitoring and the unique advantages of remote sensing, followed by an in-depth review of the climate system’s key processes, feedbacks, and drivers. It details the wide array of remote sensing tools, sensors, and platforms that enable precise measurement of atmospheric, oceanic, and terrestrial variables. The text examines how remote sensing tracks essential climate indicators such as surface and atmospheric temperatures, precipitation, soil moisture, cryosphere dynamics, sea level changes, and ocean health. It further explores the impacts of climate change on terrestrial ecosystems, coastal zones, and human settlements, highlighting methodologies for assessing vulnerability and resilience. The book also addresses how remote sensing supports climate mitigation efforts through carbon cycle monitoring and emission verification, while aiding adaptation planning via risk assessments and early warning systems. Supplementary appendices provide valuable resources on terminology, satellite missions, and data workflows. This comprehensive volume equips scientists and professionals with the knowledge and tools necessary to harness remote sensing for effective climate monitoring, impact assessment, and informed decision-making.

Autoren/Hrsg.

Pradhan, Biswajeet

Tripathi, Akshar

Tiwari, Reet Kamal

Fachgebiete

• Geowissenschaften Geologie Geologie
• Geowissenschaften Geologie Meteorologie, Klimatologie
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

PART I: FOUNDATIONS – THE CLIMATE SYSTEM AND THE REMOTE SENSING TOOLKIT

1. Observing a Planet in Flux

2. The Climate System: Key Processes, Feedbacks, and Change Drivers

3. The Remote Sensing Arsenal: Principles, Platforms, and Data

PART II: MONITORING CLIMATE COMPONENTS AND DYNAMICS

4. The Warming Signal: Monitoring Surface and Atmospheric Temperatures

5. The Hydrological Cycle in Motion: Precipitation, Evaporation, and Soil Moisture

6. The Frozen Realm: Cryosphere Dynamics

7. Oceans in Transition: Sea Level, Circulation, and Acidification Proxies

PART III: ASSESSING CLIMATE CHANGE IMPACTS AND VULNERABILITY

8. Terrestrial Ecosystems Under Stress

9. Coastal Zones and the Rising Sea-Level

10. Human Dimensions: Vulnerability, Equity, and Governance

PART IV: REMOTE SENSING FOR CLIMATE SOLUTIONS AND THE FUTURE

11. Supporting Mitigation: Carbon Cycle Monitoring and Verification

12. Informing Adaptation and Resilience Planning

13. Integrating Remote Sensing with Climate Models: Data Assimilation, Validation, and Forecasting

14. From Pixels to Policy: Data Integration, Decision Support, and Challenges

15. The Future is Now: AI, Next-Generation Missions, and the Path to an Integrated Observing System

Appendices

A: Glossary of Key Terms

B: Acronyms List

C: Major Satellite Missions & Sensors for Climate Monitoring

D: Essential Climate Variables (ECVs) and RS Contributions

E: Data Processing Workflow Examples

Über Autor(innen)

Tripathi, Akshar
Dr. Tripathi is an Assistant Professor in the Department of Civil & Environmental Engineering at the Indian Institute of Technology (IIT) Patna. He holds a Ph.D. in Remote Sensing from IIT Ropar, where he was the department’s first doctoral graduate, completing his degree in a record 2 years and 10 months. A distinction holder in both his B.Tech (SRM University) and M.Tech (IIRS–ISRO), Dr. Tripathi has served in various academic and research roles, including Postdoctoral Research Associate at IIT Kanpur and Postdoctoral Fellow at Tel Aviv University, Israel. His expertise lies in Synthetic Aperture Radar (SAR) remote sensing, multi-sensor integration, and AI-driven modeling for agriculture, and disaster assessment. He has published over 30 scholarly works and serves as Guest Editor for Springer and Frontiers journals, and Editor for Scientific Reports (Nature). He is also an active science communicator, poet, and columnist, with deep interests in geopolitics and heritage conservation.

Tiwari, Reet Kamal
Dr. Reet Kamal Tiwari received his M.Sc. degree in geology, M.Tech. degree in remote sensing and geographic information systems, and PhD degree in Earth sciences from the Indian Institute of Technology (IIT) Roorkee, India, in 2007, 2009, and 2015, respectively. In 2013, he joined the Centre for Glaciology, Wadia Institute of Himalayan Geology, India, as a scientist. Since March 2017, he has been an assistant professor with the Department of Civil Engineering, Indian Institute of Technology (IIT) Ropar, India. His research interests include geospatial technology applications in the fields of snow, ice and glaciers, climate change, natural resource management, environmental monitoring, and planetary sciences. He has secured over 15 Crore (INR) research funding, received multiple fellowships, held editorial positions, and is an IEEE Senior Member, advancing electronics, image processing, and geospatial intelligence. He is Senior IEEE member and an active member of various international and national societies, such as Indian Society of Remote Sensing (ISRS), IEEE Geosciences and Remote Sensing Society (GRSS), and the International Society of Photogrammetry and Remote Sensing (ISPRS).

Pradhan, Biswajeet
Professor Pradhan is a globally recognized expert in geospatial analytics and artificial intelligence applications in Earth and environmental sciences. Currently a Distinguished Professor at the University of Technology Sydney (UTS), Australia, he also leads the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). With a PhD in GIS-based modeling, Prof. Pradhan has over two decades of experience in spatial data science, remote sensing, natural hazard modeling, and environmental monitoring. He has been listed among the world's top 2% scientists by Stanford University and received numerous international awards, including from IEEE and Elsevier. A Fellow of the Royal Geographical Society (FRGS), he also serves on editorial boards of several top-tier journals. His research integrates geospatial AI and deep learning for disaster risk reduction, land use planning, and sustainability.