Coarse-to-fine waterlogging probability assessment based on remote sensing image and social media data

Coarse-to-fine waterlogging probability assessment based on remote sensing image and social media data

Urban waterlogging probability assessment is critical to emergency response and policymaking. Remote Sensing (RS) is a rich and reliable data source for waterlogging monitoring and evaluation through water body extraction derived from the pre- and post-disaster RS images. However, RS images are usua...

Full description

Bibliographic Details
Main Authors: Lei Xu, Ailong Ma
Format: Article
Language:English
Published: Taylor & Francis Group 2021-04-01
Series:Geo-spatial Information Science
Subjects:
remote sensing
social media
urban waterlogging
data fusion
Online Access:http://dx.doi.org/10.1080/10095020.2020.1812445

Internet

http://dx.doi.org/10.1080/10095020.2020.1812445

Similar Items