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Dr. Subrata Nandy
Dr. Subrata Nandy
Scientist/Engineer-SF, Indian Institute of Remote Sensing, ISRO, Dehradun
Verified email at iirs.gov.in - Homepage
Title
Cited by
Cited by
Year
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 …, 2015
2082015
Forest cover dynamics analysis and prediction modeling using logistic regression model
R Kumar, S Nandy, R Agarwal, SPS Kushwaha
Ecological Indicators 45, 444–455, 2014
1842014
Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam
ATN Dang, S Nandy, R Srinet, NV Luong, S Ghosh, AS Kumar
Ecological Informatics 50, 24-32, 2019
1312019
Mapping socio-environmental vulnerability to climate change in different altitude zones in the Indian Himalayas
AK Gupta, M Negi, S Nandy, M Kumar, V Singh, D Valente, I Petrosillo, ...
Ecological Indicators 109, 105787, 2020
1262020
Assessing the vulnerability of socio-environmental systems to climate change along an altitude gradient in the Indian Himalayas
AK Gupta, M Negi, S Nandy, JM Alatalo, V Singh, R Pandey
Ecological Indicators 106, 105512, 2019
1162019
Environmental vulnerability assessment of eco-development zone of Great himalayan National Park, himachal Pradesh, India
S Nandy, C Singh, KK Das, NC Kingma, SPS Kushwaha
Ecological indicators 57, 182-195, 2015
1112015
Mapping forest height and aboveground biomass by integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 data using Random Forest algorithm in northwest Himalayan foothills of India
S Nandy, R Srinet, H Padalia
Geophysical Research Letters 48 (14), e2021GL093799, 2021
1092021
Species diversity and community structure in sal (Shorea robusta) forests of two different rainfall regimes in West Bengal, India
SPS Kushwaha, S Nandy
Biodiversity and Conservation 21 (5), 1215-1228, 2012
1072012
Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India
R Srinet, S Nandy, NR Patel
Ecological Informatics 52, 94-102, 2019
842019
Neural network-based modelling for forest biomass assessment
S Nandy, R Singh, S Ghosh, T Watham, SPS Kushwaha, A Senthil Kumar, ...
Carbon Management. DOI: 10.1080/17583004.2017.1357402, 2017
802017
Study on the utility of IRS 1D LISS-III data and the classification techniques for mapping of Sunderban mangroves
S Nandy, SPS Kushwaha
Journal of Coastal Conservation, 1-15, 2011
792011
Monitoring the Chilla-Motichur wildlife corridor using geospatial tools
S Nandy, SPS Kushwaha, S Mukhopadhyay
Journal for Nature Conservation 15 (4), 237-244, 2007
672007
Forest fragmentation in India
PS Roy, MSR Murthy, A Roy, SPS Kushwaha, S Singh, CS Jha, ...
Current Science 105 (6), 774-780, 2013
602013
Forest degradation assessment in the upper catchment of the river Tons using remote sensing and GIS
S Nandy, SPS Kushwaha, VK Dadhwal
Ecological Indicators 11 (2), 509-513, 2011
602011
Mapping aboveground woody biomass using forest inventory, remote sensing and geostatistical techniques
BKV Yadav, S Nandy
Environmental Monitoring and Assessment 187, 1-12, 2015
532015
Optimizing spaceborne LiDAR and very high resolution optical sensor parameters for biomass estimation at ICESat/GLAS footprint level using regression algorithms
P Dhanda, S Nandy, SPS Kushwaha, S Ghosh, YVN Krishna Murthy, ...
Progress in Physical Geography. DOI: 10.1177/0309133317693443, 2017
512017
Estimating aboveground biomass in Avicennia marina plantation in Indian Sundarbans using high-resolution satellite data
S Manna, S Nandy, A Chanda, A Akhand, S Hazra, VK Dadhwal
Journal of Applied Remote Sensing 8 (1), 083638, 2014
492014
Assessment of historical forest cover loss and fragmentation in Asian elephant ranges in India
H Padalia, S Ghosh, CS Reddy, S Nandy, S Singh, AS Kumar
Environmental Monitoring and Assessment 191, 1-13, 2019
482019
Forest canopy density stratification using biophysical modeling
S Nandy, PK Joshi, KK Das
Journal of the Indian Society of Remote Sensing 31, 291-297, 2003
452003
Comparing tree diversity and population structure between a traditional agroforestry system and natural forests of Barak valley, Northeast India
S Nandy, A Kumar Das
International Journal of Biodiversity Science, Ecosystem Services …, 2013
412013
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Articles 1–20