A METHOD TO GENERATE FLOOD MAPS IN 3D USING DEM AND DEEP LEARNING
High-resolution remote sensing imagery has been increasingly used for flood applications. Different methods have been proposed for flood extent mapping from creating water index to image classification from high-resolution data. Among these methods, deep learning methods have shown promising results...
Main Authors: | A. Gebrehiwot, L. Hashemi-Beni |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2020-11-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-M-2-2020/25/2020/isprs-archives-XLIV-M-2-2020-25-2020.pdf |
Similar Items
-
Flood Extent Mapping: An Integrated Method Using Deep Learning and Region Growing Using UAV Optical Data
by: Leila Hashemi-Beni, et al.
Published: (2021-01-01) -
Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data
by: Asmamaw Gebrehiwot, et al.
Published: (2019-03-01) -
DEEP LEARNING FOR REMOTE SENSING IMAGE CLASSIFICATION FOR AGRICULTURE APPLICATIONS
by: L. Hashemi-Beni, et al.
Published: (2020-11-01) -
UAV-DEMs for Small-Scale Flood Hazard Mapping
by: Antonio Annis, et al.
Published: (2020-06-01) -
INFLUENCE OF DEM IN WATERSHED MANAGEMENT AS FLOOD ZONATION MAPPING
by: M. Alrajhi, et al.
Published: (2016-06-01)