Remote Sensing at Night: Technologies, Applications, and Perspectives

Author:   Qingling Zhang (Professor in Aerospace Engineering, Sun Yat-sen University, China)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780443300240


Pages:   395
Publication Date:   01 February 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Remote Sensing at Night: Technologies, Applications, and Perspectives


Overview

Remote Sensing at Night: Technologies, Applications, and Perspectives delves into the pivotal role of remote sensing in deciphering Earth's nocturnal landscapes. This comprehensive resource utilizes a range of case studies to make complex topics accessible to a diverse audience with varied scientific backgrounds. The book emphasizes recent advances in remote sensing technology, encompassing nightlight, thermal infrared, and Synthetic Aperture Radar (SAR) capabilities facilitated by state-of-the-art Earth observation satellites. The book also explores the technological advancements in nighttime monitoring for practical and research purposes, Earth observation datasets, and the challenges faced. It equips readers with multidisciplinary knowledge and practical solutions for nighttime monitoring, providing up-to-date global case studies and methodologies for researchers, graduate students, scientists, and academics in remote sensing, geospatial research, and environmental science.

Full Product Details

Author:   Qingling Zhang (Professor in Aerospace Engineering, Sun Yat-sen University, China)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
ISBN:  

9780443300240


ISBN 10:   0443300240
Pages:   395
Publication Date:   01 February 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction SECTION 1: Remote Sensing Technologies at Night 2. Night-light remote sensing 3. Thermal infrared remote sensing 4. Synthetic Aperture Radar SECTION 2: Applications of Night Light Remote Sensing 5. Urban Applications 6. Ecological Applications 7.Other Applications 8. Moonlight remote sensing SECTION 3: Applications of Nighttime Thermal Infrared Remote Sensing 9. Urban Applications 10. Ecological Applications 11. Other Applications SECTION 4: Applications of Nighttime Synthetic Aperture Radar 11. Monitoring Polar snow/ice 12. Monitorin Rainfall/floods/landslide 13. Detecting Earthquakes 14. Detecting Tornadoes 15. Monitoring Marine pollution SECTION 5: Concluding Remarks & Future Outlook 16. Conclusions

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Author Information

Prof. Qingling Zhang, PhD from Sun Yat-sen University, is a full professor in Aerospace Engineering at Sun Yat-sen University. With a research background that includes positions at the Shenzhen Institutes of Advanced Technology and Yale University, Prof. Zhang has led numerous research projects funded by both US and Chinese government agencies. His academic contributions consist of 2 monographs and over 100 SCI papers, accumulating 15,497 citations and an impressive total impact factor of 57. Notably, his work includes a NASA-adopted MODIS albedo product gap-filling algorithm and the creation of VANUI and NDUI Urban Indices, widely utilized in urbanization and environmental studies. Prof. Zhang's involvement with NASA's Land Cover/Land Use Change Special Fund and his role as a reviewer for ten SCI journals underscore his prominence in the field. He has also contributed a chapter on ""Nighttime Urban Remote Sensing"" to the US Geological Survey's Remote Sensing Handbook. His achievements have earned him prestigious awards such as Sun Yat-sen University's ""Hundred Talents Program"" Academic Leader (2018), Chinese Academy of Sciences' ""Hundred Talents Program"" Overseas Academic Leading Talent (2015), and Shenzhen's ""Overseas High-Level Talent Peacock Plan"" award (2015).

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