Atmospheric Remote Sensing
Principles and Applications
- 1st Edition - November 5, 2022
- Imprint: Elsevier
- Editors: Abhay Kumar Singh, Shani Tiwari
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 2 6 2 - 6
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 2 6 3 - 3
Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains.… Read more
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Request a sales quoteAtmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed.
This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.
- Covers the fundamentals of remote sensing as applied to atmospheric science
- Includes methods and applications of remote sensing technologies for atmospheric science and related disciplines in earth science
- Includes full color photographs and figures that visually represent concepts discussed in the book
Professor, researchers, and graduate students in atmospheric sciences and remote sensing. Professionals working for government weather services
- Cover Image
- Title Page
- Copyright
- Table of Contents
- Contributors
- 1 Composition and thermal structure of the earth’s atmosphere
- 1.1 Atmosphere
- 1.2 Vertical temperature structure and nomenclature of the earth’s atmosphere
- 1.3 Basics climatology of tropospheric and stratospheric region and inter-hemispheric coupling
- 1.4 Vertical variation of atmospheric temperature in the troposphere
- 1.5 Seasonal variation of tropospheric and stratospheric temperature in the equatorial regions (5° N–5° S)
- 1.6 Interannual variation of tropospheric and stratospheric temperature and its linkage with QBO and ENSO
- 1.7 Global positioning system (GPS) and radio occultation (RO) technique for the temperature observation
- 1.8 Conclusion
- Data availability statement
- References
- 2 Retrieval of aerosol optical depth from satellite observations: Accuracy assessment, limitations, and usage recommendations over South Asia
- 2.1 Introduction
- 2.2 Aerosol optical properties
- 2.3 Satellite-based remote sensing instruments for aerosol monitoring
- 2.4 Satellite-based aerosol retrieval algorithms
- 2.5 Case study of AOD retrieval and accuracy assessment over South Asia (SA)
- 2.6 Conclusion
- References
- 3 Global Navigation Satellite Systems and their applications in remote sensing of atmosphere
- 3.1 Introduction
- 3.2 Performance of the GNSS
- 3.3 Technical concepts of GPS
- 3.4 Receivers and GPS antenna
- 3.5 GNSS limitations
- 3.6 GPS/GNSS meteorology
- 3.7 Estimating ZWD and water vapor using GNSS
- 3.8 Summary
- References
- 4 Estimation of ionospheric total electron content (TEC) from GNSS observations
- 4.1 Introduction
- 4.2 Estimation of ionospheric total electron content
- 4.3 Summary
- Acknowledgements
- References
- 5 Remote sensing data extraction and inversion techniques: A review
- 5.1 Introduction
- 5.2 Remote sensing data extraction
- 5.3 Supervised classification
- 5.4 Unsupervised classification
- 5.5 Hybrid classification and artificial neural networks (ANNs)
- 5.6 Elements of visual image interpretation
- 5.7 Band/spectral rationing
- 5.8 Principal component analysis (PCA)
- 5.9 Normalized difference index
- 5.10 File format
- 5.11 Geometric correction
- 5.12 Radiometric correction
- 5.13 Conclusion
- References
- 6 Appraisal of radiative transfer model 6SV for atmospheric correction of multispectral satellite image towards land surface temperature retrieval
- 6.1 Introduction
- 6.2 Study area
- 6.3 Datasets and methodology
- 6.4 Result and discussions
- 6.5 Conclusion
- References
- 7 Spatio-temporal variation of biomass burning fires over Indian region using satellite data
- 7.1 Introduction
- 7.2 Datasets and methodology
- 7.3 Results
- 7.4 Conclusion
- Acknowledgements
- References
- 8 Identification of different aerosol types over a semi-arid location in southern peninsular India retrieved from the CALIPSO
- 8.1 Introduction
- 8.2 Instrument and observational site
- 8.3 Results and discussion
- 8.4 Conclusions
- References
- 9 Remote Sensing of Cloudiness: Challenges and Way Forward
- 9.1 Introduction
- 9.2 Comparative assessment of CF datasets
- 9.3 Summary
- Acknowledgements
- References
- 10 Overview of aerosol–cloud interactions over Indian summer monsoon region using remote sensing observations
- 10.1 Climatic effects of atmospheric aerosols
- 10.2 Aerosol–cloud interaction studies over the Indian subcontinent
- 10.3 Indian summer monsoon season
- 10.4 Cloud radiative forcing over the Indian summer monsoon region
- 10.5 Physical mechanisms of aerosol-induced changes in cloud radiative effects
- 10.6 Critical knowledge gaps and recommendations
- References
- 11 Aerosol loading over the Northern Indian Ocean using space-borne measurements
- 11.1 Introduction
- 11.2 Space-borne observation of aerosols and their transportation
- 11.3 Spatio-temporal variation of aerosol over the Northern Indian Ocean
- 11.4 Vertical distribution and subtypes of atmospheric aerosol over the Northern Indian Ocean
- 11.5 Long-range transportation of atmospheric aerosol over the Northern Indian Ocean
- 11.6 Summary
- Acknowledgement
- References
- 12 Balloon-Based Remote Sensing of the Atmosphere
- 12.1 Introduction
- 12.2 Balloon platforms for atmospheric measurements
- 12.3 Different scientific balloon systems and their use
- 12.4 Balloon-borne campaigns to study atmosphere
- 12.5 Summary and conclusion
- References
- 13 Vertical distribution of atmospheric brown clouds using Lidar remote sensing over Indian region
- 13.1 Introduction
- 13.2 Theoretical background of light detection and ranging
- 13.3 Vertical distribution of ABCs over India
- 13.4 Conclusion
- References
- 14 Application of remote sensing to study forest fires
- 14.1 Introduction
- 14.2 Evolution of fire detection techniques
- 14.3 Remote sensing
- 14.4 Satellites and sensors for forest fire applications
- 14.5 Ground-based fire monitoring system
- 14.6 Fire assessment
- 14.7 Burnt area and burn severity mapping (postfire)
- 14.8 Mapping postfire vegetative growth
- 14.9 Conclusions
- Acknowledgments
- References
- 15 Study of the atmospheric and ionospheric phenomenon using GPS-based remote sensing technique
- 15.1 Introduction to global positioning system
- 15.2 Study of ionospheric phenomena using GPS
- 15.3 Study of atmospheric phenomena using GPS
- 15.4 Summary
- Acknowledgments
- References
- 16 Low-latitude upper atmosphere remote sensing using very low frequency (VLF) waves
- 16.1 Introduction
- 16.2 Remote sensing of D-region of ionosphere using narrowband VLF waves
- 16.3 Remote sensing using broadband VLF waves
- 16.4 Summary
- 16.5 Recommendations
- Acknowledgments
- References
- 17 Remote Sensing of Ionospheric Irregularities
- 17.1 Introduction
- 17.2 Techniques to study ionospheric irregularities
- 17.3 Characteristics of ionospheric irregularities over Indian region
- 17.4 Conclusions
- References
- 18 Characteristics of tropical cyclones through remote sensing-based observational platforms
- 18.1 Introduction
- 18.2 Satellite remote sensing application
- 18.3 Radar observations and associated techniques
- 18.4 Tropical cyclone characteristics through Lidar observations
- 18.5 Aircraft and other remote sensing observations and tools
- 18.6 Concluding remarks
- References
- 19 Significance of remote sensing in tropical cyclone prediction and disaster management: Indian perspective
- 19.1 Introduction
- 19.2 Various applications of remote sensing techniques for cyclone track and intensity prediction
- 19.3 Data and methodology
- 19.4 Remote sensing of the VSCS “Phailin”
- 19.5 Results and discussion
- 19.5 Conclusion
- Acknowledgment
- References
- 20 Dust storm characteristics over Indo-Gangetic basin through satellite remote sensing
- 20.1 Introduction
- 20.2 Data and methodology
- 20.3 Characteristics of dust particles
- 20.4 Effect of dust storm
- 20.5 Summary and conclusion
- Acknowledgment
- References
- 21 Remote sensing-based geomorphological mapping of glacial and paraglacial landforms from semiarid and subhumid Himalaya
- 21.1 Introduction
- 21.2 Study area
- 21.3 Methodology
- 21.4 Results
- 21.5 Discussion and conclusions
- Acknowledgements
- References
- 22 Machine learning in remote sensing data—a classification case study
- 22.1 Introduction
- 22.2 Traditional machine learning for remote sensing
- 22.3 New trends in machine learning for remote sensing
- 22.4 Statistical machine learning methods
- 22.5 Categories of statistical machine learning methods
- 22.6 Data and methodology
- 22.7 Results and discussion
- 22.8 Conclusions
- Acknowledgments
- References
- 23 Remote sensing-based study of landslide hazard zonation in Namchi and its surrounding area of Sikkim, India
- 23.1 Introduction
- 23.2 Material and methods
- 23.3 Methodology
- 23.4 Input variables
- 23.5 Results and discussion
- 23.6 Conclusion
- References
- Index
- Edition: 1
- Published: November 5, 2022
- No. of pages (Paperback): 480
- No. of pages (eBook): 480
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780323992626
- eBook ISBN: 9780323992633
AK
Abhay Kumar Singh
Dr. Abhay Kumar Singh is a professor of Physics at Banaras Hindu University, Varanasi, India. He completed his graduation, post-graduation, and a doctoral degree from Banaras Hindu University. He has more than 25 years of teaching and research experience. He has supervised 12 Ph.D. theses and 45 master’s theses. He has published 225 research papers in international/national journals of repute. He has completed 16 research projects funded by DST, UGC, ISRO, SERB, MoES. He was awarded BOYSCAST Fellowship for advance research at Umea University, Sweden. His field of research is aerosols, dust storms, and their climate effects; space weather studies of ionosphere/magnetosphere; GPS based TEC and water vapor measurements; and VLF whistler-mode waves.
Affiliations and expertise
Professor, Department of Physics, Banaras Hindu University, IndiaST
Shani Tiwari
Dr. Shani Tiwari is a scientist and working at the National Institute of Oceanography, Goa, India. He received his doctorate degree from Banaras Hindu University. He has more than ten year of research experience in the field of aerosol remote sensing. After his doctorate, he served at Graduate School of Environmental Studies, Nagoya University, Japan as a Designated Assistant Professor. He also worked at Physical Research Laboratory Ahmedabad India and Environmental Research Institute, Shandong University, Qingdao, China, as Postdoctoral Fellow. His research focuses on aerosol remote sensing, environmental pollution, radiative transfer, and climate change. He has published 32 peer-reviewed research articles and book chapters in international/national journals with h/i10 – index 14/15 and has delivered several oral, posters presentations along with an invited talk in various national/ international conferences/meetings. He also serves as a reviewer for several peer-reviewed research journals.
Affiliations and expertise
Scientist, CSIR – National Institute of Oceanography, Goa, IndiaRead Atmospheric Remote Sensing on ScienceDirect