| Monitoring and modelling spatio-temporal urban growth of Delhi using Cellular Automata and Geoinformatics P Tripathy, A Kumar Cities 90, 52-63. DOI: 10.1016/j.cities.2019.01.021, 2019 | 113 | 2019 |
| Global Flood Mapper: a novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR P Tripathy, T Malladi Natural Hazards, DOI: 10.1007/s11069-022-05428-2, 2022 | 22 | 2022 |
| An open-source tool to extract natural continuity and hierarchy of urban street networks P Tripathy, P Rao, K Balakrishnan, T Malladi Environment and Planning B: Urban Analytics and City Science, DOI: 10.1177 …, 2020 | 15 | 2020 |
| Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions JA Gómez, CH Guan, P Tripathy, JC Duque, S Passos, M Keith, J Liu Remote Sensing 13 (3), 512. DOI: 10.3390/rs13030512, 2021 | 14 | 2021 |
| Drivers of air pollution variability during second wave of COVID-19 in Delhi, India US Saharan, R Kumar, P Tripathy, M Sateesh, J Garg, SK Sharma, ... Urban Climate, DOI: 10.1016/j.uclim.2021.101059, 2021 | 13 | 2021 |
| Analysing Urban Damage and Surface Deformation based hazard-risk in Kathmandu City occurred during Nepal Earthquake (2015) using SAR Interferometry A Kumar, M Manisha, P Lal, A Prasad, P Tripathy, P Saikia Advances in Space Research, DOI: 10.1016/j.asr.2022., 2022 | 10 | 2022 |
| Evaluating the impact of water protection policy on urban growth: A case study of Jiaxing CH Guan, JA Gómez, P Tripathy, JC Duque, S Passos, T Cheng, Y Li, ... Environment and Planning B: Urban Analytics and City Science 50 (4), 1000-1019, 2023 | 5 | 2023 |
| Generating megacity-scale building height maps without DGNSS surveyed GCPs: An open-source approach P Tripathy, K Balakrishnan, C de Franchis, A Kumar Environment and Planning B: Urban Analytics and City Science, DOI: 10.1177 …, 2022 | 4 | 2022 |
| Geographically weighted regression to measure the role of intra-urban drivers for urban growth modelling in Kathmandu, Central Himalayas Diksha, A Kumar, P Tripathy Environmental Monitoring and Assessment 195 (5), 627, 2023 | 3 | 2023 |
| Data for: Monitoring and Modeling of Spatio-Temporal Urban Growth of Delhi, India using Cellular Automata and Geoinformatics A Kumar, P Tripathy Mendeley Data, v1, http://dx. doi. org/10.17632/8thw5fb2t3 1, 2019 | 2 | 2019 |
| A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery KK Perikamana, K Balakrishnan, P Tripathy arXiv preprint arXiv:2112.08841, 2021 | 1 | 2021 |
| Global Built-up and Population Datasets: Which ones should you use for India? P Tripathy, K Balakrishnan arXiv preprint arXiv:2108.08304, 2021 | 1 | 2021 |
| Global Flood Mapper: Democratising open EO resources for flood mapping P Tripathy, T Malladi EGU General Assembly Conference Abstracts, EGU21-16194, 2021 | 1 | 2021 |
| Deep learning approach for monitoring urban land cover changes KK Perikamana, K Balakrishnan, P Tripathy Earth Observation in Urban Monitoring, 171-196, 2024 | | 2024 |
| Methods for spatial sampling of urban neighbourhoods by socio-economic status in Indian cities P Tripathy, K Balakrishnan, T Malladi, A Kiran, G Bhan International Labour Organization, 2020 | | 2020 |
| India Higher Education Atlas (6 Volumes) A Revi (ed.), T Malladi, D Mayavel, N Chatterji, P Tripathy ISBN: 9789387315556; DOI: https://doi.org/10.24943/9789387315556, 2018 | | 2018 |
| Global Built-up and Population Maps: Which ones should you use for India? P Tripathy, K Balakrishnan | | |
Amit KumarFulbright Scholar, FNR, Purdue University & Professor, Department of Geography, Sikkim University在 purdue.edu 的电子邮件经过验证
