USING COSMO-SKYMED DATA FOR FLOOD MAPPING: SOME CASE-STUDIES

被引：0

作者：

Pierdicca, N. ^{[1
]}

Chini, M. ^{[1
]}

Pulvirenti, L. ^{[1
]}

Candela, L. ^{[2
]}

Ferrazzoli, P. ^{[3
]}

Guerriero, L. ^{[3
]}

Boni, G. ^{[4
]}

Siccardi, F. ^{[4
]}

Castelli, F. ^{[5
]}

机构：

[1] Univ Rome, Dept Elect Engn, Rome, Italy

[2] Italian Space Agcy, Rome, Italy

[3] Tor Vergata Univ, DISP, Rome, Italy

[4] CIMA Fdn, Savona,, Italy

[5] Univ Florence, Dept Civil & Environm Engn, Florence, Italy

来源：

2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5 | 2009年

关键词：

SAR; COSMO-SkyMed; flood; MODEL; SAR;

D O I：

10.1109/IGARSS.2009.5418251

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The COSMO-SkyMed mission is expected to give a fundamental contribution for flood mapping, because of the high revisit time and throughput achieved by the four satellites that form the constellation To study the potentiality of COSMO-SkyMed radar data for this purpose, two inundation events are analyzed in this paper, namely the flood occurred in Myanmar in May 2008 and the event that took place in the city of Alessandria (Italy) in April 2009. For the first event, two radar images were considered, one temporally close to the peak of the event, and the other one acquired one week later. As for the Alessandria flood, a time series of images was available, so that an attempt to monitor the temporal evolution of the inundation was accomplished

引用

页码：1184 / +

页数：2

共 50 条

[21] Monitoring flood evolution in agricultural areas using COSMO-SkyMed data: analysis of the Tuscany inundation of December 2009
Pulvirenti, Luca
Pierdicca, Nazzareno
Chini, Marco
Guerriero, Leila
SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XI, 2011, 8179
[22] A Prototype System for Flood Monitoring Based on Flood Forecast Combined With COSMO-SkyMed and Sentinel-1 Data
Boni, Giorgio
Ferraris, Luca
Pulvirenti, Luca
Squicciarino, Giuseppe
Pierdicca, Nazzareno
Candela, Laura
Pisani, Anna Rita
Zoffoli, Simona
Onori, Roberta
Proietti, Chiara
Pagliara, Paola
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (06) : 2794 - 2805
[23] Cosmo-Skymed SAR data for urgency situations-study of a real case
Paes, R. L.
Shiguemori, E. H.
Habermann, M.
Neto, A. M. R.
Andrade, R. M.
COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: VIPIMAGE 2011, 2012, : 329 - 331
[24] A Novel Hierarchical Ship Classifier for COSMO-SkyMed SAR Data
Wang, Chao
Zhang, Hong
Wu, Fan
Jiang, Shaofeng
Zhang, Bo
Tang, Yixian
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (02) : 484 - 488
[25] VESSEL CLASSIFICATION IN COSMO-SKYMED SAR DATA USING HIERARCHICAL FEATURE SELECTION
Makedonas, A.
Theoharatos, C.
Tsagaris, V.
Anastasopoulos, V.
Costicoglou, S.
36TH INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 2015, 47 (W3): : 975 - 982
[26] Sea wave numerical simulations with COSMO-SkyMed© SAR data
Benassai, Guido
Migliaccio, Maurizio
Montuori, Antonio
JOURNAL OF COASTAL RESEARCH, 2013, : 660 - 665
[27] COMBINED USE OF MULTI-TEMPORAL COSMO-SKYMED DATA AND A HYDRODYNAMIC MODEL TO MONITOR FLOOD DYNAMICS
Pulvirenti, Luca
Boni, Giorgio
Pierdicca, Nazzareno
Fiorini, Mattia
Rudari, Roberto
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014,
[28] COMPRESSIVE SAMPLING IN SAR TOMOGRAPHY: RESULTS ON COSMO-SKYMED DATA
Barilone, Domenico
Budillon, Alessandra
Schirinzi, Gilda
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 475 - 478
[29] INVESTIGATION OF ALPINE SNOW FEATURES USING COSMO-SKYMED IMAGES
Pettinato, S.
Santi, E.
Paloscia, S.
Valt, M.
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4254 - 4257
[30] SAR Bathymetry in the Tyrrhenian Sea by COSMO-SkyMed Data: A Novel Approach
Renga, Alfredo
Rufino, Giancarlo
D'Errico, Marco
Moccia, Antonio
Boccia, Valentina
Graziano, Maria Daniela
Aragno, Cesare
Zoffoli, Simona
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (07) : 2834 - 2847

← 1 2 3 4 5 →