| Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review S Talukdar, P Singha, S Mahato, Shahfahad, S Pal, YA Liou, A Rahman Remote Sensing 12 (7), 1135, 2020 | 1004 | 2020 |
| Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches B Praveen, S Talukdar, Shahfahad, S Mahato, J Mondal, P Sharma, ... Scientific Reports -A Journal of Nature Group 10 (1), 1-21, 2020 | 350 | 2020 |
| Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets MW Naikoo, M Rihan, M Ishtiqaue, Shahfahad Journal of Urban Management 9 (3), 347-359, 2020 | 236 | 2020 |
| Dynamics of ecosystem services (ESs) in response to land use land cover (LU/LC) changes in the lower Gangetic plain of India S Talukdar, P Singha, Shahfahad, S Mahato, B Praveen, A Rahman Ecological Indicators 112, 106121, 2020 | 206 | 2020 |
| Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms S Talukdar, B Ghose, Shahfahad, R Salam, S Mahato, QB Pham, ... Stochastic Environmental Research and Risk Assessment 34, 2277–2300, 2020 | 195 | 2020 |
| Land use/land cover change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city Shahfahad, MW Naikoo, ARMT Islam, J Mallick, A Rahman Urban Climate 41, 101052, 2022 | 181 | 2022 |
| Analysis of shoreline changes in Vishakhapatnam coastal tract of Andhra Pradesh, India: an application of digital shoreline analysis system (DSAS) MRI Baig, IA Ahmad, Shahfahad., M Tayyab, A Rahman Annals of GIS 26 (4), 361-376, 2020 | 113 | 2020 |
| Modelling urban heat island (UHI) and thermal field variation and their relationship with land use indices over Delhi and Mumbai metro cities Shahfahad, S Talukdar, M Rihan, HT Hang, S Bhaskaran, A Rahman Environment, Development and Sustainability 24, 3762–3790, 2022 | 109 | 2022 |
| Satellite-driven land surface temperature (LST) using Landsat 5, 7 (TM/ETM+ SLC) and Landsat 8 (OLI/TIRS) data and its association with built-up and green cover over urban … B Kumari, M Tayyab, Shahfahad, J Mallick, MF Khan, A Rahman Remote Sensing in Earth Systems Sciences 1 (3-4), 63-78, 2018 | 99 | 2018 |
| Urban Heat Island Dynamics in Response to Land-Use/Land-Cover Change in the Coastal City of Mumbai Shahfahad, M Rihan, MW Naikoo, MA Ali, TM Usmani, A Rahman Journal of the Indian Society of Remote Sensing 49, 2227–2247, 2021 | 73 | 2021 |
| Longitudinal study of land surface temperature (LST) using mono-and split-window algorithms and its relationship with NDVI and NDBI over selected metro cities of India Shahfahad, B Kumari, M Tayyab, IA Ahmed, MRI Baig, MF Khan, ... Arabian Journal of Geosciences 13 (1040), 1-19, 2020 | 68 | 2020 |
| Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural … S Talukdar, MW Naikoo, J Mallick, B Praveen, Shahfahad, P Sharma, ... Agricultural Systems 196, 103343, 2022 | 63 | 2022 |
| Assessment of public open spaces (POS) and landscape quality based on per capita POS index in Delhi, India Shahfahad, B Kumari, M Tayyab, HT Hang, MF Khan, A Rahman SN Applied Sciences 1 (4), 1-13, 2019 | 58 | 2019 |
| Analysis of peri-urban land use/land cover change and its drivers using geospatial techniques and geographically weighted regression MW Naikoo, M Rihan, Shahfahad, AH Peer, S Talukdar, J Mallick, ... Environmental Science and Pollution Research 30, 116421–116439, 2022 | 54 | 2022 |
| Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms S Talukdar, Shahfahad, S Ahmed, MW Naikoo, A Rahman, S Mallik, ... Journal of Cleaner Production 406, 136885, 2023 | 52 | 2023 |
| Indices based assessment of built-up density and urban expansion of fast growing Surat city using multi-temporal Landsat data sets Shahfahad, M Mourya, B Kumari, M Tayyab, A Paarcha, A Rahman GeoJournal 86, 1607-1623, 2021 | 51 | 2021 |
| A novel classifier for improving wetland mapping by integrating image fusion techniques and ensemble machine learning classifiers J Mallick, S Talukdar, Shahfahad, S Pal, A Rahman Ecological Informatics 65, 101426, 2021 | 48 | 2021 |
| Modelling built-up land expansion probability using the integrated fuzzy logic and coupling coordination degree model MW Naikoo, Shahfahad, S Talukdar, M Ishtiaq, A Rahman Journal of Environmental Management 325, 116441, 2023 | 45 | 2023 |
| Proposing receiver operating characteristic-based sensitivity analysis with introducing swarm optimized ensemble learning algorithms for groundwater potentiality modelling in … J Mallick, S Talukdar, M Alsubhi, M Ahmed, ARMT Islam, Shahfahad, ... Geocarto International 37 (15), 4361-4389, 2022 | 45 | 2022 |
| Forest Fire Susceptibility Mapping with Sensitivity and Uncertainty Analysis Using Machine Learning and Deep Learning Algorithms M Rihan, AA Bindajam, S Talukdar, Shahfahad, MW Naikoo, J Mallick, ... Advances in Space Research 72 (2), 426-443, 2023 | 43 | 2023 |
Atiqur RahmanProfessor, Department of Geography, Jamia Millia Islamia, New Delhi-25jmi.ac.in의 이메일 확인됨