Sentinel-1 change detection analysis for cyclone damage assessment in urban environments
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Sentinel-1 change detection analysis for cyclone damage assessment in urban environments. / Malmgren-Hansen, David; Sohnesen, Thomas; Fisker, Peter; Baez, Javier.
In: Remote Sensing, Vol. 12, No. 15, 2409, 08.2020.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Sentinel-1 change detection analysis for cyclone damage assessment in urban environments
AU - Malmgren-Hansen, David
AU - Sohnesen, Thomas
AU - Fisker, Peter
AU - Baez, Javier
PY - 2020/8
Y1 - 2020/8
N2 - For disaster emergency response, timely information is critical and satellite data is a potential source for such information. High-resolution optical satellite images are often the most informative, but these are only available on cloud-free days. For some extreme weather disasters, like cyclones, access to cloud-free images is unlikely for days both before and after the main impact. In this situation, Synthetic Aperture Radar (SAR) data is a unique first source of information, as it works irrespective of weather and sunlight conditions. This paper shows, in the context of the cyclone Idai that hit Mozambique in March 2019, that Change Detection between pairs of SAR data is a perfect match with weather data, and therefore captures impact from the severe cyclone. For emergency operations, the filtering of Change Detections by external data on the location of houses prior to an event allows assessment of the impact on houses as opposed to impact on the surrounding natural environment. The free availability of SAR data from Sentinel-1, with further automated processing of it, means that this analysis is a cost-effective and quick potential first indication of cyclone destruction.
AB - For disaster emergency response, timely information is critical and satellite data is a potential source for such information. High-resolution optical satellite images are often the most informative, but these are only available on cloud-free days. For some extreme weather disasters, like cyclones, access to cloud-free images is unlikely for days both before and after the main impact. In this situation, Synthetic Aperture Radar (SAR) data is a unique first source of information, as it works irrespective of weather and sunlight conditions. This paper shows, in the context of the cyclone Idai that hit Mozambique in March 2019, that Change Detection between pairs of SAR data is a perfect match with weather data, and therefore captures impact from the severe cyclone. For emergency operations, the filtering of Change Detections by external data on the location of houses prior to an event allows assessment of the impact on houses as opposed to impact on the surrounding natural environment. The free availability of SAR data from Sentinel-1, with further automated processing of it, means that this analysis is a cost-effective and quick potential first indication of cyclone destruction.
KW - change detection
KW - cyclones
KW - damage assessment
KW - disaster monitoring
KW - Sentinel-1
KW - Synthetic Aperture Radar
U2 - 10.3390/RS12152409
DO - 10.3390/RS12152409
M3 - Journal article
AN - SCOPUS:85089694260
VL - 12
JO - Remote Sensing
JF - Remote Sensing
SN - 2072-4292
IS - 15
M1 - 2409
ER -
ID: 248550004