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Vegetation dynamics and climate – vegetation interactions

One of the most discussed as well as debated topic among contemporary researchers is climate change. The changes in terrestrial vegetation serves as one of the major indicators for climate change and variability. In recent decades, land use change and climate variability have been affecting the terrestrial biosphere through changing the energy balance. Continuous monitoring of vegetation dynamics is crucial for understanding the biogeochemical processes and its possible effect on our climate system.

From atmosphere to ocean to soils and even in the Earth’s crust, carbon is distributed everywhere. The terrestrial biosphere includes carbon in plants, both dead and alive, animals, soil and the microorganisms. The carbon cycle plays a key role in regulating the earth’s climate by controlling the concentration of carbon dioxide in the atmosphere. Carbon dioxide is one of the main greenhouse gases, contributing to the global warming. Primary productivity is a key component of carbon cycle and are important to understand sink and source capacity of the terrestrial ecosystems.

Remote sensing image analysis and modelling provides the estimation of photosynthetic and productivity trends along with their seasonal as well as decadal variations for providing better insights in understanding of climate changes, carbon cycle and energy exchanges between vegetation and atmosphere.


• Computation of Photosynthetic trends in the last 2 decades.
• Computation of Productivity trends in the last 2 decades
• Exploration the relation of vegetation and climate variability.


• The study brings into light the regions which requires increase of green cover for maintaining the balance in the terrestrial carbon cycle and maintaining an ambient environmental and atmospheric conditions.
• The impact of anthropogenic activities and intrusions on terrestrial carbon cycle and inducing climate change is also perceived.



1. Kashyap, R., Pandey, A.C., & Kuttippurath, J. (2021). Photosynthetic trends in India derived from remote sensing measurements for 2000–2019: vegetation dynamics and key climatic drivers. Geocarto International (in review).

2. Kashyap, R., Pandey, A.C., Priya, T., & Dwivedi, C.S. (2021). Landslide Susceptibility Zonation (LSZ) in parts of Sikkim, India: a comparative assessment of Weighted Overlay Analysis (WOA), Analytical Hierarchical Process (AHP) and Artificial Neural Network (ANN) models. Earth Science Informatics (in review).

3. Kashyap R. and Pandey, A.C. (2021). Spatio– temporal variability assessment of pre– monsoon temperature to deduce their impact on Forest Fire events in relation to relief across Himalayan region. Journal of Geomatics, 106– 114.

4. Kashyap, R., Pandey, A. C., & Parida, B. R. (2021). Spatio–temporal variability of monsoon precipitation and their effect on precipitation triggered landslides in relation to relief in Himalayas. Spatial Information Research, 1–13.

5. Kashyap, R (2021) Hydrocarbon microseepage detection using Vegetation Stress as chief indicator in parts of North East: Jowai in Jaintia Hills– a hotspot. Journal of Indian Society of Remote Sensing. (in review).

6. Kashyap, R and Pandey, A.C. (2020) Coastal Hazard Vulnerability Zonation Mapping of Andaman Islands with focus on Storm Surges and its impacts on land use /land cover. Journal of Coastal Conservation. (in review).



1. Kashyap, R and Sharma, R.S. Black Carbon (BC) Aerosol variability with key climatic variables in response to some extreme weather events in Jharkhand with focus on Ranchi, India, 2nd International Conference on Climate Change, Kula Lumpur, Malaysia, May 25– 26, 2021.

2. Kashyap, R and Pandey, A.C. Anthropogenic intrusions leading to variability in Vegetated vs Non– Vegetated land dynamics over the past two decades in India” at 2nd Intercontinental Geoinformation Days, Mersin, Turkey, May 5– 6, 2021.

3. Kashyap, R and Pandey, A.C. Vegetated vs Non– Vegetated land dynamics in light of human induced changes over the past two decades in India” at National Conference on Climate Change and Pathway to Self– Reliant India: Opportunities and Challenges for Sustainable Development, March 15– 16, 2021.

4. Kashyap, R and Pandey, A.C. Examining Precipitation extremes during monsoon and their spatio– temporal and relief variability trends monsoon in various parts of the Himalayan region in the past two decades, ISRSNS 2020, National Symposium on Remote Sensing for Environment Monitoring & Climate Change Assessment: Opportunities and Challenges, Indian Society of Remote Sensing (ISRS) & Indian Society of Geomatics (ISG), December 18– 19, 2020.

5. Kashyap, R and Pandey, A.C. Examining Temperature Extremes during pre– monsoon season and their relation to elevation and glacial areas in various parts of the Himalayas in the past two decades, TROPMET– 2020, National virtual Symposium on Weather and Climate services over Mountainous Regions, Indian Meteorological Society (IMS) & North East Space Application Centre (NESAC), 14– 17 December, 2020.

1. Kashyap, R., Pandey, A. C., & Parida, B. R. (2021). Climate Forcing on photosynthetic variability across various relief zones in the Himalaya. Himalayan Ecosystems and Sustainability: The Ecosystem-Human-Climate Nexus. Taylor and Francis. (in review)

2. Pandey, A. C., Parida, B. R., Bhattacharjee, S., Wasim, T. P., Salim, M., & Kashyap, R. (2021). Factors associated with COVID-19 and predictive modelling of spread across five urban metropolises in the world. In Computational Intelligence Techniques for Combating COVID-19 (257-273). Springer, Cham. ISBN: 9783030689353.

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