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Subrata Nandy

Image of Subrata Nandy
Designation Scientist/Engineer - SF
Department Forestry and Ecology Department
Field of Expertise Forest Biomass/Carbon Assessment, LiDAR remote sensing in forestry & Forest Ecology
Mail Address Forestry & Ecology Department Indian Institute of Remote Sensing ISRO, Govt. of India 4, Kalidas Road, Dehradun- 248001 India.
  • Forest biomass/carbon assessment
  • Forest ecology
  • LiDAR remote sensing in forestry
  • Assessment of CO2 fluxes and forest productivity
  • Biodiversity characterization
  • Wildlife habitat modelling
  • Life Member, Indian Society of Remote Sensing
  • Life Member, Indian Meteorological Society
  • Life Member, Indian Society of Geomatics
  • M. Sc. - Ecology, Assam University, Silchar, Assam
  • M.Phil. - Ecology, Assam University, Silchar, Assam
  • PG Diploma – RS & GIS Application for Natural Resources Management with specialization in Forestry & Ecology, Indian Institute of Remote Sensing, Dehradun
  • Ph.D. - Forest Geoinformatics, Forest Research Institute University, Dehradun
  • Scientist/Engineer–SE, Indian Institute of Remote Sensing, ISRO, Dehradun - July 2016 – Till date
  • Scientist/Engineer–SD, Indian Institute of Remote Sensing, ISRO, Dehradun - July 2012 – June 2016
  • Scientist/Engineer–SC, Indian Institute of Remote Sensing, ISRO, Dehradun – August 2008 – July 2012
  • Received the prestigious S. K. Seth prize for the year 2013 for the best research paper entitled “Plant richness modelling in south Gujarat using remote sensing and geographic information system” in the field of Environment and Ecology published in The Indian Forester (September 2013)

Reviewer of the following journals

  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE
  • ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier
  • Global and Planetary Change, Elsevier
  • Ecological Indicators, Elsevier
  • Ecological Engineering, Elsevier
  • Biodiversity and Conservation, Springer
  • Applied Geography, Elsevier
  • Geocarto International, Taylor & Francis
  • Environmental Monitoring and Assessment, Springer
  • Agroforestry Systems, Springer
  • Natural Hazards, Springer
  • European Journal of Remote Sensing, Taylor & Francis
  • Journal of the Indian Society of Remote Sensing, Springer
  • Scandinavian Journal of Forest Research, Springer
  • Remote Sensing Applications: Society and Environment, Elsevier
  • Geo-spatial Information Science, Taylor & Francis
  • National Academy of Science Letters, Springer
  • Theoretical and Applied Climatology, Springer
  • Journal of Earth System Science, Springer
  • Journal of Environmental Planning and Management, Taylor & Francis
  • Journal of the Geological Society of India, Springer
  • Biodiversitas, Society for Indonesian Biodiversity
  • Tropical Ecology, International Society for Tropical Ecology
  • Agricultural Engineering International, CIGR Journal
  • International Journal of Advancement in Remote Sensing and Geography, IROSSS
  • Srinet, R., Nandy, S.. and Patel, N.R. 2019. Estimating leaf area index and light extinction coefficient using random forest regression algorithm in a tropical moist deciduous forest, India. Ecological Informatics, 52, 94-102.
  • Pillai, N.D., Nandy, S.., Patel, N.R., Srinet, R., Watham, T. and Chauhan, P. 2019. Integration of eddy covariance and process-based model for the intra-annual variability of carbon fluxes in an Indian tropical forest. Biodiversity and Conservation, 28(8-9), 2123–2141.
  • Dang, A.T.N., Nandy, S.., Srinet, R., Luong, N.V., Ghosh, S. and Kumar, A.S. 2019. Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam. Ecological Informatics, 50, 24-32
  • Padalia, H., Bushra, A., Singh, G., Nandy, S.., Rai, I.D. and Rawat, G.S. 2019. Spatial patterns of plant functional types and environmental proxies of plant richness in alpine region of Western Himalaya, India. Biodiversity and Conservation, 28(8-9), 2221–2244.
  • Kushwaha, S.P.S., Nandy, S.., Shah, M. A., Agarwal, R. and Mukhopadhyay, S. 2018. Forest cover monitoring and prediction in a Lesser Himalayan elephant landscape. Current Science, 115(3), 510-516
  • Ghosh, S., Hazra, S., Nandy, S.., Mondal, P. P., Watham, T. and Kushwaha, S.P.S. 2018. Trends of sea level in the Bay of Bengal using altimetry and other complementary techniques. Journal of Spatial Science, 63(1), 49-62.
  • Nandy, S., Singh, R.P., Ghosh, S., Watham, T., Kushwaha, S.P.S., Kumar, A.S. and Dadhwal, V.K. 2017. Neural network-based modelling for forest biomass assessment. Carbon Management. DOI: 10.1080/17583004.2017.1357402.
  • Ghosh, S., Hazra, S., Nandy, S., Mondal, P.P., Watham, T. and Kushwaha, S.P.S. 2017. Trends of sea level in the Bay of Bengal using altimetry and other complementary techniques. Journal of Spatial Science. DOI: 10.1080/14498596.2017.1348309.
  • Bagaria, P., Nandy, S., Mitra, D., Lal, P. and Sivakumar, K. 2017. Application of different satellite image classification techniques for mapping land use and land cover of east Godavari river estuarine landscape, Andhra Pradesh, India. International Journal of Advancement in Remote Sensing, GIS and Geography 5(1): 1-16.
  • Dhanda, P., Nandy, S., Kushwaha, S.P.S., Ghosh, S., Krishna Murthy, Y.V.N. and Dadhwal, V.K. 2017. Optimising spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms. Progress in Physical Geography 41(3): 247-267.
  • Ghosh, S., Nandy, S., Patra, S., Kushwaha, S.P.S., Kumar, A.S. and Dadhwal, V.K. 2017. Land cover classification using ICESat/GLAS Full waveform data. Journal of the Indian Society of Remote Sensing 45(2): 327–335.
  • Ghosh, S., Nandy, S. and Kumar, A.S. 2016. Rapid assessment of recent flood episode in Kaziranga National Park, Assam using remotely sensed satellite data. Current Science 111 (9): 1450-1451.
  • Watham, T., Kushwaha, S.P.S., Nandy, S., Patel, N.R. and Ghosh, S. 2016. Forest carbon stock assessment at Barkot Flux tower Site (BFS) using field inventory, Landsat-8 OLI data and geostatistical techniques. International Journal of Multidisciplinary Research and Development 3(5): 111-119.
  • Nandy, S., Singh, C., Das, K.K., Kingma, N.C. and Kushwaha, S.P.S. 2015. Environmental vulnerability assessment of eco-development zone of Great Himalayan National Park, Himachal Pradesh, India. Ecological Indicators 57: 182–195
  • Yadav, B.K.V. and Nandy, S. 2015. Mapping aboveground woody biomass using forest inventory, remote sensing and geostatistical techniques. Environmental Monitoring and Assessment 187: 1-12
  • Ghosh, S., Thakur, P., Garg, V., Nandy, S., Aggarwal, S., Saha, S. K., Sharma, R. and Bhattacharyya, S. 2015. SARAL/AltiKa waveform analysis to monitor inland water levels: A case study of Maithon reservoir, Jharkhand, India. Marine Geodesy 38(1): 597-613.
  • Roy, P.S. et al. 2015. New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities. International Journal of Applied Earth Observation and Geoinformation 39: 142–159
  • Bhatt, G.D., Kushwaha, S.P.S., Nandy, S, Bargali, K., Nagar, P.S. and Tadvi, D.M. 2015. Analysis of fragmentation and disturbance regimes in south Gujarat forests, India. Tropical Ecology 56(3): 275-288.
  • Heyojoo, B.P. and Nandy, S. 2014. Estimation of above-ground phytomass and carbon in tree resources outside the forest (TROF): A geo-spatial approach. Banko Janakari 24 (1): 34-40.
  • Kumar, R., Nandy, S., Agarwal, R. and Kushwaha, S.P.S. 2014. Forest cover dynamics analysis and prediction modeling using logistic regression model. Ecological Indicators 45: 444–455.
  • Kushwaha, S.P.S., Nandy, S. and Gupta, M. 2014. Growing stock and woody biomass assessment in Asola-Bhatti Wildlife Sanctuary, Delhi, India. Environmental Monitoring and Assessment 186(9): 5911-5920.
  • Manna, S., Nandy, S., Chanda, A., Akhand, A., Hazra, S. and Dadhwal, V.K. 2014. Estimating aboveground biomass in Avicennia marina plantation in Indian Sundarbans using high-resolution satellite data. Journal of Applied Remote Sensing 8(1): 083638.
  • Nandy, S. and Das, A.K. 2013. Comparing tree diversity and population structure between a traditional agroforestry system and natural forests of Barak valley, Northeast India. International Journal of Biodiversity Science, Ecosystem Services & Management 9(2): 104-113.
  • Bhatt, G.D., Kushwaha, S.P.S., Nandy, S. and Bargali, K. 2013. Vegetation types and land uses mapping in south Gujarat using remote sensing and geographic information system. International Journal of Advancement in Remote Sensing, GIS and Geography 1(1): 20-31.
  • Roy, P.S., Murthy, M.S.R., Roy, A., Kushwaha, S.P.S., Singh, S., Jha, C.S., Behera, M.D., Joshi, P.K., Jagannathan, H.C., Karnatak,C., Saran, S., Reddy, C.S., Kushwaha, D., Dutt, C.B.S., Porwal, M.C., Sudhakar, S., Srivastava, V.K., Padalia, H., Nandy, S. and Gupta S. 2013. Forest fragmentation in India. Current Science 105(6): 774-780.
  • Bhatt, G.D., Kushwaha, S.P.S., Nandy, S., Bargali, K., Tadvi, D., Nagar, P.S. and Daniel, M. 2013. Plant richness modelling in south Gujarat using remote sensing and geographic information system. Indian Forester 139(9): 757-768.
  • Bhatt, G.D., Nagar, P.S., Tadvi, D.M., Kushwaha, S.P.S., Nandy, S. and Bargali, K. 2012. Ethno-botanical practices associated with the tribal people: a case study from Dangs district, south Gujarat. Oaks 8: 29-38.
  • Nandy, S., Kushwaha, S.P.S. and Gaur, P. 2012. Identification of Swamp deer (Cervus duvauceli duvauceli Cuvier) potential habitat in Jhilmil Jheel Conservation Reserve, Uttarakhand, India using multi-criteria analysis. Environmental Management 49(4): 902-914.
  • Kushwaha, S.P.S. and Nandy, S. 2012. Species diversity and community structure in sal (Shorea robusta) forests of two different rainfall regimes in West Bengal, India. Biodiversity and Conservation 21(5): 1215-1228.
  • Nandy, S. and Kushwaha, S.P.S. 2011. Study on the utility of IRS 1D LISS-III data and the classification techniques for mapping of Sunderban mangroves. Journal of Coastal Conservation-Planning and Management 15(1): 123-137.
  • Nandy, S., Kushwaha, S.P.S. and Dadhwal, V.K. 2011. Forest degradation assessment in the upper catchment of the river Tons using remote sensing and GIS. Ecological Indicators 11(2): 509–513.
  • Nath, A.J., Bhattacharjee, P., Nandy, S. and Das, A.K. 2011. Traditional utilization of village bamboos among the tea tribes of Barak Valley, northeast India. Bamboo Science and Culture: The Journal of the American Bamboo Society 24(1): 35-44.
  • Nandy, S. and Kushwaha, S.P.S. 2010. Geospatial modeling of biological richness in Sunderbans. Journal of the Indian Society of Remote Sensing 38: 431-440.
  • Nandy, S., Kushwaha, S.P.S. and Mukhopadhyay, S. 2007. Monitoring the Chilla-Motichur wildlife corridor using geospatial tools. Journal for Nature Conservation 15(4):237-244
  • Das, G., Das, A.K. and Nandy, S. 2006. Nonlinear statistical model for culm growth of muli bamboo-Melocanna baccifera. International Journal of Ecology and Environmental Sciences 32(2):221-225.
  • Dwivedi, P., Kushwaha, S.P.S., Nandy, S. and Rathore, C.S. 2006. Khair (Acacia catechu) inventory and site suitability analysis in part of Doon Valley using geoinformatics. Journal of the Indian Society of Remote Sensing 34 (2): 187-191.
  • Nandy, S., Das, A.K. and Das, G. 2004. Phenology and culm growth of Melocanna baccifera (Roxb.) Kurz. in Barak Valley, North East India. Journal of Bamboo and Rattan 3(1): 27-34.
  • Nandy, S., Joshi, P.K. and Das, K.K. 2003. Forest canopy density stratification using biophysical spectral response modelling. Journal of the Indian Society of Remote Sensing 31(4): 291-297.
  • Navalgund, R.R., Kumar, A.S. and Nandy, S.. 2019. Remote Sensing of Northwest Himalayan Ecosystems. Springer, Singapore, pp. 564, DOI: https://doi.org/10.1007/978-981-13-2128-3, ISBN 978-981-13-2127-6.
  • Nandy, S.., Ghosh, S., Kushwaha, S.P.S., and Kumar, A.S. 2019. Remote sensing-based forest biomass assessment in northwest Himalayan landscape. In: R.R. Navalgund, A. Senthil Kumar, and S. Nandy (Eds.) Remote Sensing of Northwest Himalayan Ecosystems. Springer, Singapore, pp. 285-311.
  • Nandy, S.., Kushwaha, S.P.S., and Srinet, R. 2019. Wildlife habitat evaluation in mountainous landscapes. In: R.R. Navalgund, A. Senthil Kumar and S. Nandy (Eds.) Remote Sensing of Northwest Himalayan Ecosystems. Springer, Singapore, pp. 341-352.
  • Patel, N.R., Padalia, H., Kushwaha, S.P.S., Nandy, S.., Watham, T., Ahongshangbam, J., Kumar, R., Dadhwal, V.K. and Kumar, A.S. 2019. CO2 flux tower and remote sensing: Tools for monitoring carbon exchange over ecosystem scale in north-west Himalaya. In: R.R. Navalgund, A. Senthil Kumar and S. Nandy (Eds.) Remote Sensing of Northwest Himalayan Ecosystems. Springer, Singapore, pp. 313-327.
  • Ghosh, S., Nandy, S.., Chakraborty, D. and Kumar, R. 2018. Assessment of flood-emanated impediments to Kaziranga National Park grassland ecosystem – A binocular vision with remote sensing and geographic information system, In: C.K. Singh (Ed.) Geospatial Applications for Natural Resources Management, CRC Press, USA, pp. 275-290.
  • Roy, P.S. and Nandy, S.. 2016. Remote Sensing and Geographic Information System in Wildlife Habitat Analysis. In: M. Balakrishnan (Ed.) Wildlife Ecology and Conservation, Scientific Publishers, Jodhpur, India.
  • Nandy, S.. 2014. Environmental management. In: R. Nagaraja (Ed.) Post Graduate Certificate Programme in Geospatial Technology Applications in Rural Development. Distance Education Cell, National Institute of Rural Development and Panchayati Raj, Ministry of Rural Development, Govt. of India, Hyderabad.
  • Roy, P.S. and Nandy, S. 2016. Remote Sensing and Geographic Information System in Wildlife Habitat Analysis. In: Wildlife Ecology and Conservation (Ed. M. Balakrishnan), Scientific Publishers, Jodhpur, India.
  • Nandy, S. 2014. Environmental management. In: Post Graduate Certificate Programme in Geospatial Technology Applications in Rural Development (Ed. R. Nagaraja). Distance Education Cell, National Institute of Rural Development and Panchayati Raj, Ministry of Rural Development, Govt. of India, Hyderabad.
  • Dadhwal, V.K., Nayak, R.K., Jha, C.S., Patel, N.R., Rodda, S.R., Chakraborty, A., Thumaty, K.C., Nandy, S.., Kushwaha, S.P.S. 2019. Modelling terrestrial primary productivity with remote sensing data: Indian case studies on assessment, validation and applications. In ISPRS WG III/10, GEOGLAM, ISRS Joint International Workshop on Earth Observations for Agricultural Monitoring, Feb 18-20, 2019, New Delhi, India.
  • Sett, T., Nikam, B.R., Nandy, S.., Danodia, A., Bhattacharjee, R., Dugesar, V. 2018. Estimation of instantaneous evapotranspiration using remote sensing based energy balance technique over parts of north India. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-5, 2018 ISPRS TC V Mid-term Symposium “Geospatial Technology – Pixel to People”, 20–23 November 2018, Dehradun, India, doi.org/10.5194/isprs-archives-XLII-5-345-2018
  • Mangla, R., Kumar, S. and Nandy, S.. 2016. Random forest regression modelling for forest aboveground biomass estimation using RISAT-1 PolSAR and terrestrial LiDAR data. In SPIE Asia-Pacific Remote Sensing (pp. 98790Q-98790Q); doi:10.1117/12.2227380.
  • Ghosh, S., Thakur, P., Dutta, S., Sharma, R., Nandy, S.., Garg, V., Aggarwal, S., Bhattacharyya, S. 2016. A new method for SARAL/AltiKa Waveform Classification: contextual analysis over the Maithon reservoir, Jharkhand, India. In SPIE Asia-Pacific Remote Sensing (pp. 98780G-98780G); doi:10.1117/12.2223777.
  • Kushwaha, S.P.S., Nandy, S., Ahmad, M. and Agarwal, R. 2011. Forest ecosystem dynamics assessment and predictive modeling in eastern Himalaya. In: ISPRS International Workshop on Earth Observation for Terrestrial Ecosystem, 8 November, 2011, Bhopal, India.
  • Dadhwal, V.K., Kushwaha, S.P.S. and Nandy, S. 2009. Monitoring forests for sustainability: remote sensing studies in India. In: 18th Convocation of the International Council of Academics of Engineering and Technological Sciences July 13-17, 2009, Calgary, Alberta.
  • Mangla, R., Kumar, S. and Nandy, S. 2016. Random forest regression modelling for forest aboveground biomass estimation using RISAT-1 PolSAR and terrestrial LiDAR data. In SPIE Asia-Pacific Remote Sensing (pp. 98790Q-98790Q); doi:10.1117/12.2227380.
  • Ghosh, S., Thakur, P., Dutta, S., Sharma, R., Nandy, S., Garg, V., Aggarwal, S.P., Bhattacharyya, S. 2016. A new method for SARAL/AltiKa Waveform Classification: contextual analysis over the Maithon reservoir, Jharkhand, India. In SPIE Asia-Pacific Remote Sensing (pp. 98780G-98780G); doi:10.1117/12.2223777.
  • Kushwaha, S.P.S., Nandy, S., Ahmad, M. and Agarwal, R. 2011. Forest ecosystem dynamics assessment and predictive modeling in eastern Himalaya. In: ISPRS International Workshop on Earth Observation for Terrestrial Ecosystem, 8 November, 2011, Bhopal, India.
  • Singh, S., Kushwaha, S.P.S., Porwal, M.C., Saran, S., Nandy, S. and Roy, P.S. 2010. Biodiversity characterization for conservation prioritization at landscape level in central, north-western, northern and eastern regions of India using satellite remote sensing data geographic information system. (Abstract) In: International Workshop on Biodiversity and Climate Change 19th - 22nd December 2010, Kharagpur, West Bengal.
  • Dadhwal, V.K., Kushwaha, S.P.S. and Nandy, S. 2009. Monitoring forests for sustainability: remote sensing studies in India. In: 18th Convocation of the International Council of Academics of Engineering and Technological Sciences July 13-17, 2009, Calgary, Alberta.
  • Nandy, S., Kushwaha, S.P.S. and Roy, P.S. 2007. Biodiversity Characterization at Landscape Level in West Bengal using Satellite Remote Sensing and GIS. Proc. Tropical Ecology Congress 2007, 2-5 December, 2007, Dehradun.
  • Dadhwal, V.K., Kushwaha, S.P.S., Singh, I.J., Nandy, S., Mukhopadhyay, S. and Pandey, U. 2006. Understanding terrestrial carbon cycle in India using remote sensing. Proc. Indo-UK Workshop on Earth Observations for Weather and Climate, 28-30 March, 2006, SAC, Ahmedabad.
  • Kushwaha, S.P.S., Behera, M.D. and Nandy, S. 2005. Geoinformatics and forestry sector. Proc. Map India 2005 International Conference, 7-9 February, 2005, New Delhi.
  • Nandy, S. and Das, A.K., 2000. Prioritizing Bamboo species in the traditional home gardens: A case study in Barak Valley, Assam, Northeast India. (Abstract). In: National Seminar on environmental issues and priorities: challenges of the millennium (Eds: B.K. Dutta and A. Gupta).
  • Sharma, A. and Nandy, S. 2016. Application of very high resolution satellite imagery and terrestrial laser scanning for forest carbon stock assessment. Contact 18(1): 9-10.
  • Sharma, A. and Nandy, S. 2015. Forest 3D modelling using terrestrial laser scanning. Contact 17(2): 13.
  • Singh, N., Nandy, S. and Van Leeuwen, L.M. 2014. Impact of sal heartwood borer (Hoplocerambyx spinicornis) infestation on the carbon stock of sal (Shorea robusta) forests of Doon valley. Contact 16(2): 7-8.
  • Dhanda, P. and Nandy, S. 2014. Optimizing parameters obtained from multiple sensors for biomass estimation at ICESat/GLAS footprint level using different regression algorithms. Contact 16(1): 2-3.
  • Nandy, S. 2011. Biodiversity monitoring. Souvenir of Assam University, Ecology and Environmental Science Alumni Association. Assam University, Silchar.
  • Kushwaha S.P.S., Singh, I.J., Velmurgan, A., Gopal Krishan and Nandy, S. 2007. Forest and land degradation assessment in upper catchment of river Tons, Uttarkashi. Technical Report, Indian Institute of Remote Sensing, Dehradun.
Page last updated: 11 January 2022, 10:23

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