Change detection from remotely sensed images: From pixel-based to object-based approaches

M Hussain, D Chen, A Cheng, H Wei… - ISPRS Journal of …, 2013 - Elsevier
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

Tropical cyclone disaster management using remote sensing and spatial analysis: A review

MAA Hoque, S Phinn, C Roelfsema, I Childs - International journal of …, 2017 - Elsevier
Tropical cyclones and their often devastating impacts are common in many coastal areas
across the world. Many techniques and dataset have been designed to gather information …

Survey of data management and analysis in disaster situations

V Hristidis, SC Chen, T Li, S Luis, Y Deng - Journal of Systems and …, 2010 - Elsevier
The area of disaster management receives increasing attention from multiple disciplines of
research. A key role of computer scientists has been in devising ways to manage and …

Hurricane Katrina storm surge distribution and field observations on the Mississippi Barrier Islands

HM Fritz, C Blount, R Sokoloski, J Singleton… - Estuarine, Coastal and …, 2007 - Elsevier
Hurricane Katrina (23–30 August 2005) struck low-lying coastal plains particularly
vulnerable to storm surge flooding. Maximum storm surges, overland flow depths, and …

Enterprise risk management in supply chains

DL Olson, D Wu - Enterprise Risk Management Models: Focus on …, 2023 - Springer
This chapter introduces risk management by reviewing some major risk events faced by
businesses in the past. Unexpected consequences of human activity are discussed, with a …

Class incremental learning with few-shots based on linear programming for hyperspectral image classification

J Bai, A Yuan, Z Xiao, H Zhou, D Wang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Hyperspectral imaging (HSI) classification has drawn tremendous attention in the field of
Earth observation. In the big data era, explosive growth has occurred in the amount of data …

Building damage annotation on post-hurricane satellite imagery based on convolutional neural networks

QD Cao, Y Choe - Natural Hazards, 2020 - Springer
After a hurricane, damage assessment is critical to emergency managers for efficient
response and resource allocation. One way to gauge the damage extent is to quantify the …

Fusion of satellite, aircraft, and UAV data for automatic disaster damage assessment

M Kakooei, Y Baleghi - International journal of remote sensing, 2017 - Taylor & Francis
Post-disaster damage assessment is urgent for rapid save and rescue missions. Satellite
and airborne imagery platforms take vertical images, in which only buildings' roofs are …

Tsunami damage detection with remote sensing: A review

S Koshimura, L Moya, E Mas, Y Bai - Geosciences, 2020 - mdpi.com
Tsunamis are rare events compared with the other natural disasters, but once it happens, it
can be extremely devastating to the coastal communities. Extensive inland penetration of …

Field survey report and satellite image interpretation of the 2013 Super Typhoon Haiyan in the Philippines

E Mas, J Bricker, S Kure, B Adriano… - … Hazards and Earth …, 2015 - nhess.copernicus.org
Three weeks after the deadly Bohol earthquake of M w 7.2, which claimed at least 222
victims, another disaster struck the Philippines. This time, Super Typhoon Haiyan, also …