Alok Bhardwaj

Invited perspectives: How machine learning will change flood risk and impact assessment

Dennis Wagenaar, Alex Curran, Mariano Balbi et al. · Natural hazards and earth system sciences · 2020 · 89 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

Rapid flood and damage mapping using synthetic aperture radar in response to Typhoon Hagibis, Japan

Cheryl Wen Jing Tay, Sang‐Ho Yun, Shi Tong Chin et al. · Scientific Data · 2020 · 88 citations · Full text

Pilgrims, progress, and the political economy of disaster preparedness – the example of the 2013 Uttarakhand flood and Kedarnath disaster

Alan D. Ziegler, Robert Wasson, Alok Bhardwaj et al. · Hydrological Processes · 2014 · 77 citations

Engineering, Natural Hazards, Natural Disasters +20

Characteristics of rain-induced landslides in the Indian Himalaya: A case study of the Mandakini Catchment during the 2013 flood

Alok Bhardwaj, Robert Wasson, Alan D. Ziegler et al. · Geomorphology · 2019 · 67 citations

Rain-induced Landslides, Indian Himalaya, Hydrological Disaster +11

Urban Flood Detection with Sentinel-1 Multi-Temporal Synthetic Aperture Radar (SAR) Observations in a Bayesian Framework: A Case Study for Hurricane Matthew

Yunung Nina Lin, Sang‐Ho Yun, Alok Bhardwaj et al. · Remote Sensing · 2019 · 60 citations · Full text

Engineering, Bayesian Framework, Flood Control +19