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Toushif Jaman
Observed names:
Jaman Toushif,
Jaman, Toushif
Institutions:
National Institute of Disaster Management,
Government of India,
Department of Space,
North Eastern Space Applications Centre,
Ministry of Home Affairs
Observed institutions:
Pondicherry University,
National Institute of Disaster Management,
Government of India,
Department of Space,
North Eastern Space Applications Centre,
Ministry of Home Affairs
show all 6
ORCID:
0000-0001-6225-5648
Observed ORCID:
0000-0001-6225-5648
OpenAlex ID:
A5016330115
Assessment of impact of cyclone hazard on social vulnerability of Bhadrak District of Odisha State during Phailin Cyclone in 2013 and Titli Cyclone in 2018 using multi-criteria analysis and geospatial techniques
2020
·
Toushif Jaman
, K. Dharanirajan
, et al.
·
International Journal of Disaster Risk Reduction
·
25
Application of geospatial tools in the assessment of Flood hazard impact on social vulnerability of Malda district, West Bengal, India
2023
·
Kajal Kumar Mandal
, Kesavan Dharanirajan
, et al.
·
Natural Hazards Research
·
18
GeoAI-based soil erosion risk assessment in the Brahmaputra River Basin: a synergistic approach using RUSLE and advanced machine learning
2025
·
Toushif Jaman
, Shashank Bhaskar
, et al.
·
Environmental Monitoring and Assessment
·
9
Assessment of social vulnerability of landslides in the Darjeeling district using MCDA-based GIS techniques
2022
·
Sohel Rana
, K. Dharanirajan
, et al.
·
Disaster Advances
·
6
Advanced geospatial synthesis of urban heat Island dynamics: interlinking climate change, land use/land cover, vegetative indices, and thermal variability in Guwahati metropolitan area, assam, India
2025
·
Toushif Jaman
, Suraj Kumar Swain
, et al.
·
Theoretical and Applied Climatology
·
4
GIS-based multi-criteria approach for block level drought hazard mapping in the Purulia District, West Bengal, India
2025
·
Kajal Kumar Mandal
, Snehashis Alam
, et al.
·
Discover Environment
·
3
PDF
Integrating hydrospatial Variables with Machine Learning for Groundwater Potential Zonation in Dhalai District, Tripura
2025
·
Toushif Jaman
, Shashank Bhaskar
, et al.
·
Water Conservation Science and Engineering
·
2
Comprehensive geospatial approaches to delineate near real-time (NRT) flood inundation and damage assessment of Tripura, India
2025
·
Toushif Jaman
, Shashank Bhaskar
, et al.
·
International Journal of Disaster Risk Reduction
·
2
Influence of Multi-Hazard on Socio-Economic Vulnerability of Tura Town Area of Meghalaya, India: An Urban Modeling in Respect of Disaster Risk Reduction Using Geospatial Technologies
2025
·
Toushif Jaman
, Jenita Nongkynrih
, et al.
·
Journal of the Indian Society of Remote Sensing
·
2
A hybrid geospatial framework for flood hazard zonation using AHP and machine learning: Case study of Kaziranga Tiger Reserve, India
2026
·
Toushif Jaman
, Shashank Bhaskar
, et al.
·
Global and earth surface processes change.
·
1
Leveraging geospatial technology for flood inundation mapping and assessing vulnerability and risk in Agartala City, India
2025
·
Toushif Jaman
, Jenita Mary Nongkynrih
, et al.
·
GeoJournal
·
1
Cyclone Induced Hazard Assessment Using Geospatial Technology in East Coast of India
2025
·
Toushif Jaman
, K. Dharanirajan
, et al.
·
GIScience and geo-environmental modelling
·
1
Flood Data Toushif
2026
·
Jaman, Toushif
·
Mendeley Data
Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India
2026
·
Sanjeev Kumar Jha
, Nirbhav
, et al.
·
Atmosphere
Surface Urban Heat Island Dynamics and Land Use Change in the Shillong Planning Area, India: A Geospatial and Machine Learning Approach
2026
·
Toushif Jaman
, Jenita Mary Nongkynrih
, et al.
·
Sustainability
Analytical Hierarchy Process (AHP)-Based Cyclone Coping Capacity Index of Bhadrak District, Odisha, India Using Geospatial Techniques
2026
·
Toushif Jaman
, K. Dharanirajan
, et al.
·
Sustainable development goals series
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Works count:
18
Citation count:
74
H-index:
4
I10-index:
2
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