Skip to main content
Elsevier

Atmospheric Remote Sensing

Principles and Applications

  • 1st Edition - November 5, 2022
  • Latest edition
  • Editors: Abhay Kumar Singh, Shani Tiwari
  • Language: English

Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains.… Read more

Data Mining & ML

Unlock the cutting edge

Up to 20% on trusted resources. Build expertise with data mining, ML methods.

Explore now

Description

Atmospheric 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.

Key features

  • 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

Readership

Professor, researchers, and graduate students in atmospheric sciences and remote sensing. Professionals working for government weather services

Table of contents

Section 1: Principles of atmospheric remote sensing

1. Satellite Remote Sensing Aerosol Optical Depth (AOD) Retrievals: accuracy assessment, limitations, and usage recommendations over Asia

2. Earth Observation Satellites (EOS) for global sustainability: Potentials and boundaries

3. Remote Sensing and its implication to air pollution studies

4. Global Navigation Satellite System and its Application in Remote Sensing of Atmosphere

5. Estimation of Ionospheric Total Electron Content (TEC) from GNSS observations

6. Impact of water vapor on atmospheric correction of satellite images

Section 2: Application of atmospheric remote sensing

7. Identification of fires over the Indian region from space

8. Identification of different aerosol types observed at a semi-arid location in southern peninsular India retrieved from the CALIPSO

9. Remote sensing of clouds: challenges and way forward

10. Study of Aerosol – Cloud Interaction over Indian region using satellite remote sensing

11. Aerosol loading over the Northern Indian ocean using spaceborne measurement

12. Balloon – based remote sensing of Atmosphere

13. Vertical distribution of atmospheric brown clouds using LiDAR remote sensing over Indian region

14. Application of Remote Sensing to study forest fires over the Himalayan region

15. Study of the atmospheric and ionospheric phenomenon using GPS based remote sensing technique

16. Low-latitude lower ionosphere remote sensing using very low frequency (VLF) waves

17. Remote Sensing of Ionosphere, Plasmasphere, and Magnetosphere by VLF Wave

18. Remote Sensing of Ionospheric Irregularities

19. Application of atmospheric remote sensing in disaster management

20. Characteristics of tropical cyclones through remote sensing observations and techniques

21. Significance of Remote sensing in Tropical Cyclone prediction and disaster management: Indian perspective

22. Study of dust storm characteristics over Indo – Gangetic Basin through satellite remote sensing

23. Geomorphological mapping of glacial and periglacial landforms using Remote Sensing: Examples from semi-arid and sub-humid Himalayan valleys

24. Classification of Remotely sensed Formosat-2 Haridwar data using Deep Learning Artificial Neural Network and Convolutional Neural Network

25. Remote sensing-based study of landslide hazard zonation in Namchi and its surrounding area of Sikkim, India

Product details

  • Edition: 1
  • Latest edition
  • Published: November 9, 2022
  • Language: English

About the editors

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, India

ST

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, India

View book on ScienceDirect

Read Atmospheric Remote Sensing on ScienceDirect