Research output per year
Research output per year
Personal profile
Research interests
Remote Sensing & GIS, Forestry, Process-Based Modelling, Forest-climate Dynamics, Ecological modelling, Machine and Deep learning, Ecoloical Restoration and Mapping, Sustainable management of Natural resources
Short bio
Dr. Rajit Gupta is a Research Scientist at VTT in the Remote Sensing team. His areas of expertise includes Remote sensing and GIS, Forestry, Ecological and process-based modelling, Climate change and Vegetation mapping. He received his PhD degree in Environmental Science from the Central University of Rajasthan, India. He worked as a Postdoctoral researcher with the Amazon Research Team for two years (2023-25) at the University of Turku, Finland. He published his scientific research in a reputed and quality journals. Currently, he is working on Pillar 6 of the Horizon Europe funded TerraDT project, coordinated by CSC–IT Center for Science, Finland.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Natural sciences, Doctorate, Assessment of Forest growth dynamics by integrating advanced remote sensing and process-based modelling, Central University of Rajasthan
Award Date: 6 Feb 2023
Science, Master, Central University of Haryana
Award Date: 8 Aug 2017
External positions
Postdoctoral Researcher, University of Turku
1 Apr 2023 → 31 May 2025
Skills and expertise
- Remote sensing
- Forestry
- Ecological modelling
- Climate Change
- Machine learning
- Vegetation mapping
- Natural resources management
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Collaborations and top research areas from the last five years
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Research output
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Detection of Deforestation Using Prisma Hyperspectral and Deep Learning (1DCNN) in the Amazon Forest
Gupta, R., Ruokolainen, K. & Tuomisto, H., 2024, IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE Institute of Electrical and Electronic Engineers, p. 3704-3707 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
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Seamless Landsat-7 and Landsat-8 data composites covering all Amazonia
Gupta, R., Zuquim, G. & Tuomisto, H., 2024, In: Data in Brief. 57, 111034.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Mapping Canopy Height from ICESat-2 and Landsat-9 using Machine Learning in the Himalayan Corbett Tiger Reserve, India
Gupta, R. & Sharma, L. K., 2023, 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS). IEEE Institute of Electrical and Electronic EngineersResearch output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
2 Citations (Scopus) -
Predicting habitat suitability of Litsea glutinosa: a declining tree species, under the current and future climate change scenarios in India
Gupta, R., Sharma, L. K., Rajkumar, M., Mohammad, N. & Khan, M. L., 2023, In: Landscape and Ecological Engineering. 19, p. 211–225 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
5 Citations (Scopus) -
Spatio-Temporal Dynamics of Tropical Deciduous Forests under Climate Change Scenarios in India
Gupta, R. & Sharma, L. K., 2023, Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications. CRC Press, p. 359-371 13 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review