Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service-Reference-Cited by-同舟云学术

Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service

Published:2023 Issue: Volume:16 Page:6917-6930
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Krullikowski Christian¹^ORCID,Chow Candace¹^ORCID,Wieland Marc¹^ORCID,Martinis Sandro¹^ORCID,Bauer-Marschallinger Bernhard²^ORCID,Roth Florian²^ORCID,Matgen Patrick³,Chini Marco³^ORCID,Hostache Renaud³^ORCID,Li Yu³,Salamon Peter⁴

Affiliation:

1. German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany

2. Remote Sensing Research Group, Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria

3. Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

4. Joint Research Centre (JRC) of the European Commission, Ispra, Italy

Funder

Copernicus Emergency Management Service

Framework Contract

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10186373.pdf?arnumber=10186373

Reference38 articles.

1. Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review

2. Copernicus DEM

3. An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

4. A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications

5. Towards a global seasonal and permanent reference water product from Sentinel-1/2 data for improved flood mapping

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