Atmospheric remote sensing : principles and applications / edited by Abhay Kumar Singh and Shani Tiwari.

Format:

Book

Contributor:

Kumar Singh, Abhay, editor.

Tiwari, Shani, editor.

Series:

Earth Observation

Language:

English

Subjects (All):

Atmosphere--Remote sensing.

Atmosphere.

Physical Description:

1 online resource (482 pages)

Place of Publication:

Amsterdam, Netherlands ; London, England : Elsevier, [2023]

Summary:

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.

Contents:

Front cover

Half title

Full title

Copyright

CONTENTS

Contributors

Chapter 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

1.2.1 Troposphere

1.2.2 Stratosphere

1.2.3 Mesosphere

1.2.4 Thermosphere

1.3 Basics climatology of tropospheric and stratospheric region and inter-hemispheric coupling

1.3.1 Hadley cell

1.3.2 Ferrel cell

1.3.3 Polar cell

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

Chapter 2 - Retrieval of aerosol optical depth from satellite observations: Accuracy assessment, limitations, and usage re ...

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

2.4.1 Overview of operational retrieval algorithms

2.4.1.1 Dark Target (DT) algorithm

2.4.1.2 Deep Blue (DB) algorithm

2.4.1.3 Multi-Angle Implementation of Atmospheric Correction (MAIAC)

2.4.1.4 MISR aerosol retrieval algorithm

2.4.1.5 OMI aerosol retrieval algorithm

2.4.2 Uncertainty evaluation of aerosol retrieval products

2.5 Case study of AOD retrieval and accuracy assessment over South Asia (SA)

2.6 Conclusion

Chapter 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

3.3.1 The space segment

3.3.2 The control segment

3.3.3 The user segment

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

Chapter 4 - Estimation of ionospheric total electron content (TEC) from GNSS observations

4.1 Introduction

4.1.2 Ionospheric layers

4.1.3 Ionosphere and its effects on Global Navigation Satellite System (GNSS)

4.2 Estimation of ionospheric total electron content

4.2.1 TEC calculation from GPS observations

4.2.2 Cycle slip correction

4.2.3 TEC leveling

4.2.4 Vertical TEC conversion

4.2.5 Receiver and satellite differential code biases (DCBs)

4.3 Summary

Acknowledgements

Chapter 5 - Remote sensing data extraction and inversion techniques: A review

5.1 Introduction

5.2 Remote sensing data extraction

5.2.1 Classification

5.3 Supervised classification

5.3.1 Minimum-distance-to-mean classifier

5.3.2 Parallelepiped classifier

5.3.3 Maximum likelihood classifier

5.4 Unsupervised classification

5.4.1 K-mean

5.4.2 ISODATA

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

Chapter 6 - Appraisal of radiative transfer model 6SV for atmospheric correction of multispectral satellite image towards ...

6.1 Introduction

6.2 Study area

6.3 Datasets and methodology

6.3.1 Landsat 8.

6.3.2 Second simulation of satellite signal in the solar spectrum-vector (6SV)

6.3.3 Normalized difference vegetation index

6.3.4 Land surface temperature retrieval

6.3.5 Performance analysis

6.4 Result and discussions

6.4.1 6SV output for atmospheric correction

6.4.2 LST retrieval using Landsat 8 OLI

6.5 Conclusion

Chapter 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

7.3.1 Spatial and seasonal variation of fire points over India

7.3.2 Inter annual variations of active fire occurrences

7.3.3 State level analysis of fire counts over Indian region

7.3.4 Identification of fire hotspot regions

7.4 Conclusion

Chapter 8 - Identification of different aerosol types over a semi-arid location in southern peninsular India retrieved fro ...

8.1 Introduction

8.2 Instrument and observational site

8.2.1 CALIPSO

8.2.2 HYSPLIT, MERRA-2 winds, and MODIS fire counts

8.2.3 Observational site

8.3 Results and discussion

8.3.1 Intra-season variability in tropospheric columnar aerosol optical depth

8.3.2 Seasonal variation of different aerosol subtypes

8.3.3 Percentage contribution of aerosol top layer heights

8.3.4 Intra-seasonal variation of the aerosol extinction coefficient

8.3.5 Types of air masses and their effects on aerosol characteristics

8.3.6 Fire count and MERRA-2 winds for source identification

8.4 Conclusions

Chapter 9 - Remote Sensing of Cloudiness: Challenges and Way Forward

9.1 Introduction

9.2 Comparative assessment of CF datasets

9.2.1 Resolution effect

9.2.2 View-angle effect

9.2.3 Climatology of height-stratified CF.

9.2.4 Diurnal cycle of CF

9.3 Summary

Chapter 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

Chapter 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

11.2.1 Moderate resolution imaging spectro-radiometer (MODIS)

11.2.2 Ozone monitoring instrument (OMI)

11.2.3 Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observation (CALIPSO)

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

Chapter 12 - Balloon-Based Remote Sensing of the Atmosphere

12.1 Introduction

12.2 Balloon platforms for atmospheric measurements

12.2.1 Types of balloon sounding

12.3 Different scientific balloon systems and their use

12.3.1 Open zero-pressure balloons

12.3.2 Light, small, zero-pressure balloons

12.3.3 Tethered balloons

12.3.4 Super-pressure balloons

12.3.5 Ultra-long-duration balloons (ULDB)

12.3.6 Infra-red montgolfier (MIR)

12.4 Balloon-borne campaigns to study atmosphere

12.4.1 Description of the BATAL campaigns.

12.4.2 Types of balloon flight use in BATAL campaign

12.4.3 Ground-based and modeling support

12.4.4 Findings of BATAL campaign

12.5 Summary and conclusion

Chapter 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

Chapter 14 - Application of remote sensing to study forest fires

14.1 Introduction

14.2 Evolution of fire detection techniques

14.3 Remote sensing

14.3.1 Thermal remote sensing

14.4 Satellites and sensors for forest fire applications

14.4.1 Landsat

14.4.2 Sentinel-2

14.4.3 Sentinel-3

14.4.4 Vegetation-based fire applications

14.4.5 MODIS

14.4.6 Visible infrared imaging radiometer suite (VIIRS)

14.4.7 Soil moisture active passive (SMAP)

14.4.8 EO-1 hyperion

14.4.9 Advanced very high-resolution radiometer (AVHRR)

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

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

15.1 Introduction to global positioning system

15.1.1 Error sources in GPS signals

15.1.2 Total electron content and water vapor measurements using GPS

15.2 Study of ionospheric phenomena using GPS

15.2.1 Response to space weather

15.2.2 Solar flares (SFs)

15.2.3 Response to solar eclipse

15.2.4 Response to earthquakes

15.2.5 Response to thunderstorms

15.2.6 Response to cyclones

15.3 Study of atmospheric phenomena using GPS

15.4 Summary.

Acknowledgments.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Kumar Singh, Abhay Atmospheric Remote Sensing

ISBN:

9780323992633

0323992633