Vegetation Dynamics and Crop Stress
An Earth-Observation Perspective
- 1st Edition - July 10, 2024
- Imprint: Academic Press
- Editors: Dipanwita Dutta, Arnab Kundu, N.R. Patel
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 6 1 6 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 6 1 7 - 8
Vegetation Dynamics and Crop Stress: An Earth-Observation Perspective focuses on vegetation dynamics and crop stress at both the regional and country levels by using earth observ… Read more
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Request a sales quoteVegetation Dynamics and Crop Stress: An Earth-Observation Perspective focuses on vegetation dynamics and crop stress at both the regional and country levels by using earth observation (EO) data sets. The book uniquely provides a better understanding of natural vegetation and crop failure through geo-spatial technologies. This book covers biophysical control of vegetation, deforestation, desertification, drought, and crop-water efficiency, as well as the application of satellite-derived measures from optical, thermal, and microwave domains for monitoring and modeling crop condition, agricultural drought, and crop health in contrasting monsoon/weather episodes.
- Provides a quantitative analysis of vegetation and crop stress based on EO datasets
- Offers descriptions of the spatially explicit vegetation and crop model development, implementation, and validation
- Covers the impact of soil-water stress on crop performance and vegetation response to climate change using earth observation techniques
Advanced undergraduate and graduate students as well as researchers in the fields of agriculture, crop science, agronomy, environmental sciences, geography, remote sensing and GIS, ecology
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Chapter 1. Advances in earth observation and artificial intelligence in monitoring vegetation dynamics of dryland agroecosystems
- Abstract
- 1.1 Introduction
- 1.2 Artificial intelligence methodologies for agriculture
- 1.3 Challenges and opportunities
- 1.4 Conclusion
- References
- Chapter 2. Monitoring land use dynamics and diversity of flora in Uttara Kannada district, Karnataka, Central Western Ghats, India
- Abstract
- 2.1 Introduction
- 2.2 Materials and methods
- 2.3 Conclusion
- Acknowledgments
- References
- Chapter 3. Assessment of southern Aravalli’s vegetation dynamics under climate change using the Google Earth Engine platform
- Abstract
- 3.1 Introduction
- 3.2 Materials and methods
- 3.3 Results and discussion
- 3.4 Conclusion
- References
- Chapter 4. Spatial patterns of forest fragmentation and human–elephant conflicts in south-western West Bengal, India: a multitemporal assessment
- Abstract
- 4.1 Introduction
- 4.2 Materials and methods
- 4.3 Results
- 4.4 Discussion
- 4.5 Conclusions
- References
- Chapter 5. Advancement in multisensor remote sensing studies for assessing crop health
- Abstract
- 5.1 Introduction
- 5.2 Remote sensing for crop health
- 5.3 Conclusion
- References
- Chapter 6. Land use and land cover classification and change detection of Kaptai National Park of Bangladesh using multitemporal remotely sensed imagery
- Abstract
- 6.1 Introduction
- 6.2 Materials and methods
- 6.3 Results and discussion
- 6.4 Conclusion
- References
- Chapter 7. Interannual and seasonal dynamics of NDVI in correlation with precipitation and temperature in Delhi NCR
- Abstract
- 7.1 Introduction
- 7.2 Study area
- 7.3 Materials and methods
- 7.4 Results and discussion
- 7.5 Conclusions
- Acknowledgments
- References
- Chapter 8. Vegetation dynamics and its response to climate change at Bhitarkanika mangrove forest, Odisha, east coast of India
- Abstract
- 8.1 Introduction
- 8.2 Study area
- 8.3 Data and methods
- 8.4 Results and discussion
- 8.5 Conclusion
- Acknowledgment
- References
- Chapter 9. Monitoring yearly forest cover dynamics in the Indian Sundarban region during 2000–20: a geospatial approach
- Abstract
- 9.1 Introduction
- 9.2 Study area
- 9.3 Methodology
- 9.4 Results and discussion
- 9.5 Conclusions
- References
- Chapter 10. Real-time monitoring irrigation impact on crop dynamics using Earth Observation sensors in Mashi Dam Command Area, Tonk, Rajasthan, India
- Abstract
- 10.1 Introduction
- 10.2 Materials and methods
- 10.3 Results and discussion
- 10.4 Conclusions
- References
- Chapter 11. Agricultural crop phenology and crop water stress monitoring in south-eastern regions of Bangladesh using Landsat satellite data
- Abstract
- 11.1 Introduction
- 11.2 Materials and methods
- 11.3 Results and discussion
- 11.4 Major findings and recommendations
- 11.5 Conclusion
- Acknowledgments
- References
- Chapter 12. Remote sensing vis a vis ground truthing in agricultural crops for growth and stress identification
- Abstract
- 12.1 Introduction
- 12.2 Materials and methods
- 12.3 Conclusions
- References
- Chapter 13. Applications of hyperspectral imaging and spectroscopy in agriculture
- Abstract
- 13.1 Introduction
- 13.2 Overview of hyperspectral imaging techniques
- 13.3 Types of spectroscopy
- 13.4 Hyperspectral imaging and spectroscopy applications in agriculture
- 13.5 Challenges and limitations of the application of hyperspectral imaging and spectroscopy in agriculture
- 13.6 Data analysis and interpretation
- 13.7 Selection of representative case studies highlighting the practical application of hyperspectral imaging and spectroscopy in agriculture
- 13.8 Future perspectives
- 13.9 Conclusion
- References
- Chapter 14. Application of hyperspectral remote sensing in monitoring and assessment of abiotic stress
- Abstract
- 14.1 Introduction
- 14.2 Hyperspectral remote sensing
- 14.3 Types of hyperspectral sensors
- 14.4 Spectral responses of vegetation
- 14.5 Vegetation stress detection using hyperspectral data
- 14.6 Hyperspectral remote sensing for water stress
- 14.7 Application of hyperspectral remote sensing in nutrient stress detection
- 14.8 Application of hyperspectral remote sensing in salinity stress
- 14.9 Challenges and issues
- 14.10 Way forward in the application of hyperspectral remote sensing
- 14.11 Conclusions
- References
- Chapter 15. Identifying Rabi cropping and analyzing its relationship with irrigation in Paschim Medinipur district in West Bengal, India
- Abstract
- 15.1 Introduction
- 15.2 Study area
- 15.3 Datasets
- 15.4 Methodology
- 15.5 Results
- 15.6 Conclusions
- References
- Index
- Edition: 1
- Published: July 10, 2024
- No. of pages (Paperback): 316
- No. of pages (eBook): 345
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780323956161
- eBook ISBN: 9780323956178
DD
Dipanwita Dutta
Dr. Dipanwita Dutta is Assistant Professor in the Department of Remote Sensing and GIS, Vidyasagar University (India). She completed her M. Sc. in Geography from the University of Calcutta and obtained her second M. Sc. degree in Remote Sensing and GIS under a joint collaboration program of Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente (The Netherlands), and Indian Institute of Remote Sensing, Dehradun (India). She was Senior Research Fellow at the Indian Agricultural Research Institute, Pusa and received her Ph. D. degree from the Jamia Millia Islamia in collaboration with the Indian Institute of Technology, Kharagpur. Her broad area of research includes vegetation dynamics, agricultural drought, dryland issues, crop monitoring, land-use dynamics, urban green space. Dr. Dutta has published in reputed international journals. She has also edited one book published by CRC Press/ Taylor and Francis and published 12 chapters in national and international books.
Affiliations and expertise
Assistant Professor, Department of Remote Sensing and GIS Vidyasagar University Midnapore, West Bengal, IndiaAK
Arnab Kundu
Dr. Arnab Kundu is a Faculty member in the Department of Geo-Informatics at P.R.M.S. Mahavidyalaya, Bankura University (India). Before joining there, he was working as a Post-Doctoral Research Associate at DST-Mahamana Centre of Excellence in Climate Change Research, Banaras Hindu University (India). He holds an M. Sc. in Geo-Information Science and Earth Observation from the University of Twente (ITC), the Netherlands, and an M. Sc. degree in Geography from the University of Calcutta, Kolkata (India). He completed his Ph.D. (Technology) in GIS and Remote Sensing from the Sam Higginbottom University of Agriculture, Technology and Sciences in collaboration with the Indian Institute of Remote Sensing (ISRO), Dehradun (India). His main research interests are drought, desertification and dryland issues, application of geospatial techniques for environmental monitoring and management. Also, he works on multi-criteria decision-making methods in natural resources management.
Affiliations and expertise
Faculty, Department of Geo-Informatics P.R.M.S. Mahavidyalaya Bankura University, West Bengal, IndiaNP
N.R. Patel
Dr. N. R. Patel, a senior scientist- Indian Institute of Remote Sensing, has 25 years’ experience with space applications in the field of agriculture and allied sciences. He obtained his Master's degree in Agronomy and Ph. D. in Agrometeorology and has received recognition in the field of agriculture and agrometeorology including the National award Hari OM Ashram Prerit Dr. Vikram Sarabhai Research Award for his contribution in the field of space applications to agrometeorology. He serves as council member/secretary/editor of professional scientific societies and is a Fellow of the Earth Science Foundation. An Associate Editor of the Journal of the Indian Society of Remote Sensing and Journal of Agrometeorology, he has more than 100 published papers in peer-reviewed International and National Journals. His specific research contribution is to promote space applications in the field of agrometeorology and provide new insights into regional monitoring, modeling, and assessment of Indian agro-ecosystems.
Affiliations and expertise
Scientist (SG), Department of Agriculture and Soil, Indian Institute of Remote Sensing, Indian Space Research Organization (ISRO), Uttarakhand, IndiaRead Vegetation Dynamics and Crop Stress on ScienceDirect