Zobrazeno 1 - 10 of 78 pro vyhledávání: '"Subrata Nandy"'
1
Akademický článek
Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes
Autor: Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi, Ashesh Kumar Das, S. P.S. Kushwaha, R. P. Singh
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Shifting cultivation, an age-old agricultural practice, is a major factor in forest cover change across Southeast Asia, where repeated cycles of vegetation disturbance and regrowth lead to far-reaching environmental and socio-economic impact
Externí odkaz: https://doaj.org/article/f4650ea8010c4a6f837cf5e5aa8a6126
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2
Akademický článek
Spatially Explicit climate change vulnerability assessment of ecological systems along altitudinal gradients in the Indian Himalayan region
Autor: Ajay Kumar Gupta, Subrata Nandy, Arun Jyoti Nath, Divya Mehta, Rajiv Pandey
Publikováno v: Environmental and Sustainability Indicators, Vol 22, Iss , Pp 100377- (2024)
Spatial ecological vulnerability assessments are important for devising management plans for ecological systems to maintain the flow of ecosystem services, especially in the mountains. Himalayan mountains, being a fragile ecosystem, have considerable
Externí odkaz: https://doaj.org/article/f335fe5cfd4940298b49bc1baf946e8b
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3
Akademický článek
Application of remote sensing-based spectral variability hypothesis to improve tree diversity estimation of seasonal tropical forest considering phenological variations
Autor: Divesh Pangtey, Hitendra Padalia, Rahul Bodh, Ishwari Datt Rai, Subrata Nandy
Publikováno v: Geocarto International, Vol 38, Iss 1 (2023)
Global decline in biodiversity warrants its systematic monitoring in space and time. Remote sensing derived Rao’s Q index has been proposed as a proxy for species diversity yet its scope for seasonal tropical forest is untested. The study assessed
Externí odkaz: https://doaj.org/article/1edbeb8ca018488b8e4747c481dff3ca
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4
Akademický článek
Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning
Autor: Arunima Singh, Sunni Kanta Prasad Kushwaha, Subrata Nandy, Hitendra Padalia, Surajit Ghosh, Ankur Srivastava, Nikul Kumari
Publikováno v: Remote Sensing, Vol 15, Iss 4, p 1143 (2023)
Forest inventory parameters play an important role in understanding various biophysical processes of forest ecosystems. The present study aims at integrating Terrestrial Laser Scanner (TLS) and ALOS PALSAR L-band Synthetic Aperture Radar (SAR) data t
Externí odkaz: https://doaj.org/article/eb4c8dd9b45946b295b036c147992655
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5
Akademický článek
Neural network-based modelling for forest biomass assessment
Autor: Subrata Nandy, Rajpal Singh, Surajit Ghosh, Taibanganba Watham, Satya Prakash Singh Kushwaha, Arumugam Senthil Kumar, Vinay Kumar Dadhwal
Publikováno v: Carbon Management, Vol 8, Iss 4, Pp 305-317 (2017)
Forest biomass is an important parameter for assessing the status of forest ecosystems. In the present study, forest biomass was assessed by integrating remotely-sensed satellite data and field inventory data using an artificial neural network (ANN)
Externí odkaz: https://doaj.org/article/6f551f7f62fc484fa1494e8cea06b5fb
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