A. Bhardwaj

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

Laddaporn Ruangpan, D. Lallemant, G. Molinario, 2019, Natural Hazards and Earth System Sciences.

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

Shi Tong Chin, E. Hill, S. Yun, 2020, Scientific Data.

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

A. Ziegler, R. Wasson, W. Chow, 2019, Geomorphology.

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

A. Ziegler, R. Wasson, P. Srivastava, 2014 .

High-intensity monsoon rainfall variability and its attributes: a case study for Upper Ganges Catchment in the Indian Himalaya during 1901–2013

A. Ziegler, R. Wasson, W. Chow, 2021, Natural Hazards.

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

Emma M. Hill, Sang-Ho Yun, Yunung Nina Lin, 2019, Remote. Sens..

DATA IMBALANCE IN LANDSLIDE SUSCEPTIBILITY ZONATION: UNDER-SAMPLING FOR CLASS-IMBALANCE LEARNING

S. K. Gupta, Muskan Jhunjhunwalla, A. Bhardwaj, 2020 .

Control & Design for Battery Energy Integrated Grid-Connected Photovoltaic System

Ramesh Chander Agarwal, Alok Kumar Bhardwaj, A. Bhardwaj, 2018 .

Accuracy of rainfall estimates at high altitude in the Garhwal Himalaya (India): A comparison of secondary precipitation products and station rainfall measurements

A. Ziegler, R. Wasson, W. Chow, 2017 .