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TAMAL KANTI SAHA
TAMAL KANTI SAHA
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Zitiert von
Jahr
Exploring physical wetland vulnerability of Atreyee river basin in India and Bangladesh using logistic regression and fuzzy logic approaches
TK Saha, S Pal
Ecological indicators 98, 251-265, 2019
1092019
Emerging conflict between agriculture extension and physical existence of wetland in post-dam period in Atreyee River basin of Indo-Bangladesh
TK Saha, S Pal
Environment, Development and Sustainability 21, 1485-1505, 2019
872019
Identifying dam-induced wetland changes using an inundation frequency approach: the case of the Atreyee River basin of Indo-Bangladesh
S Pal, TK Saha
Ecohydrology & Hydrobiology 18 (1), 66-81, 2018
792018
Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models
S Mahato, S Pal, S Talukdar, TK Saha, P Mandal
Geoscience Frontiers 12 (5), 101175, 2021
692021
How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region
TK Saha, S Pal, S Talukdar, S Debanshi, R Khatun, P Singha, I Mandal
Journal of Environmental Management 297, 113344, 2021
622021
Prediction of wetland area and depth using linear regression model and artificial neural network based cellular automata
TK Saha, S Pal, R Sarkar
Ecological Informatics 62, 101272, 2021
622021
Effects of lockdown due to COVID-19 outbreak on air quality and anthropogenic heat in an industrial belt of India
S Pal, P Das, I Mandal, R Sarda, S Mahato, KA Nguyen, YA Liou, ...
Journal of Cleaner Production 297, 126674, 2021
472021
Proposing multicriteria decision based valuation of ecosystem services for fragmented landscape in mountainous environment
S Pal, P Singha, K Lepcha, S Debanshi, S Talukdar, TK Saha
Remote Sensing Applications: Society and Environment 21, 100454, 2021
392021
Selecting optimal conditioning parameters for landslide susceptibility: an experimental research on Aqabat Al-Sulbat, Saudi Arabia
S Alqadhi, J Mallick, S Talukdar, AA Bindajam, N Van Hong, TK Saha
Environmental Science and Pollution Research 29, 3743-3762, 2022
372022
Novel ensemble machine learning modeling approach for groundwater potential mapping in Parbhani District of Maharashtra, India
M Masroor, H Sajjad, P Kumar, TK Saha, MH Rahaman, P Choudhari, ...
Water 15 (3), 419, 2023
322023
Combining logistic regression-based hybrid optimized machine learning algorithms with sensitivity analysis to achieve robust landslide susceptibility mapping
S Alqadhi, J Mallick, S Talukdar, AA Bindajam, TK Saha, M Ahmed, ...
Geocarto International 37 (25), 9518-9543, 2022
282022
Exploring the forms of wetland modifications and investigating the causes in lower Atreyee river floodplain area
S Pal, R Sarkar, TK Saha
Ecological Informatics 67, 101494, 2022
282022
Integrating remote sensing with swarm intelligence and artificial intelligence for modelling wetland habitat vulnerability in pursuance of damming
R Khatun, S Talukdar, S Pal, TK Saha, S Mahato, S Debanshi, I Mandal
Ecological Informatics 64, 101349, 2021
242021
Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm
Roshani, H Sajjad, TK Saha, MH Rahaman, M Masroor, Y Sharma, S Pal
Acta Geophysica 71 (1), 531-552, 2023
232023
Trend analysis and forecasting of meteorological variables in the lower Thoubal river watershed, India using non-parametrical approach and machine learning models
MH Rahaman, TK Saha, M Masroor, Roshani, H Sajjad
Modeling Earth Systems and Environment 10 (1), 551-577, 2024
172024
Exploring drainage/relief-scape sub-units in Atreyee river basin of India and Bangladesh
S Pal, TK Saha
Spatial Information Research 25, 685-692, 2017
152017
Vulnerability assessment of forest ecosystem based on exposure, sensitivity and adaptive capacity in the Valmiki Tiger Reserve, India: A geospatial analysis
H Sajjad, MH Rahaman, M Masroor, Y Sharma, A Sharma, TK Saha
Ecological Informatics 80, 102494, 2024
122024
Exploring the impact of land use/land cover changes on the dynamics of Deepor wetland (a Ramsar site) in Assam, India using geospatial techniques and machine learning models
TK Saha, H Sajjad, Roshani, MH Rahaman, Y Sharma
Modeling Earth Systems and Environment, 1-23, 2024
122024
Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms
N Bhuyan, H Sajjad, TK Saha, Y Sharma, M Masroor, MH Rahaman, ...
Catena 234, 107581, 2024
122024
Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of Uttarakhand …
Y Sharma, R Ahmed, TK Saha, N Bhuyan, G Kumari, S Pal, H Sajjad
Groundwater for Sustainable Development 25, 101094, 2024
112024
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