Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island
A method for semiautomated landslide detection and mapping, with the ability to separate source and run-out areas, is presented in this paper. It combines object-based image analysis and a support vector machine classifier and is tested using a GeoEye-1 multispectral image, sensed 3 days after a maj...
Main Authors: | S. Heleno, M. Matias, P. Pina, A. J. Sousa |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-04-01
|
Series: | Natural Hazards and Earth System Sciences |
Online Access: | http://www.nat-hazards-earth-syst-sci.net/16/1035/2016/nhess-16-1035-2016.pdf |
Similar Items
-
The 20 February 2010 Madeira Island flash-floods: VHR satellite imagery processing in support of landslide inventory and sediment budget assessment
by: C. Lira, et al.
Published: (2013-03-01) -
FUSION OF HYPERSPECTRAL AND VHR MULTISPECTRAL IMAGE CLASSIFICATIONS IN URBAN α–AREAS
by: A. Hervieu, et al.
Published: (2016-06-01) -
AUTOMATIC APPROACH TO VHR SATELLITE IMAGE CLASSIFICATION
by: P. Kupidura, et al.
Published: (2016-06-01) -
TOPIC MODELLING FOR OBJECT-BASED CLASSIFICATION OF VHR SATELLITE IMAGES BASED ON MULTISCALE SEGMENTATIONS
by: L. Shen, et al.
Published: (2016-06-01) -
Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery
by: Nicholus Mboga, et al.
Published: (2019-03-01)