Title
AUTOMATIC COLLECTION OF TRAINING SAMPLES FOR FLOODED AREAS
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
We show the application of an automatic collection of training samples for the identification of flooded buildings. The method is based on a near real time estimation of the flooded area using in-place sensors and a numerical simulation. Then, microwave remote sensing images are used to improve the accuracy of the extent of the flooded area. The floods produced during the 2018 heavy rainfalls in the town of Mabi is reported as case study. The results are consistent with the flood map provided by a third party.
Start page
8305
End page
8308
Language
English
OCDE Knowledge area
Ciencias ambientales
Robótica, Control automático
Otras ingenierías y tecnologías
Subjects
Scopus EID
2-s2.0-85130035326
Conference
International Geoscience and Remote Sensing Symposium (IGARSS) - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Sponsor(s)
Thanks to the Concytec-World Bank project ”Improvement and Extension of the services of the National System of Science, Technology and Technological Innovation” 8682-PE through its executing unit Fondecyt [contract 038-2019], to the Japan Society for the Promotion of Science (JSPS) Kak-enhi (17H06108), to the Core Research Cluster of Disaster Science at To-hoku University (a Designated National university), and to the JSPS Kakenhi (20K15000).
Sources of information:
Directorio de Producción Científica
Scopus