Multi-Mission Remote Sensing Observations for Optimizing Hydrological Hazard Predictions

Cécile M. M. Kittel; Daniel Druce; Karina Nielsen; Peter Bauer-Gottwein; Christian Tottrup

doi:10.1109/IGARSS47720.2021.9554148

Multi-Mission Remote Sensing Observations for Optimizing Hydrological Hazard Predictions

Cécile M. M. Kittel
, Daniel Druce
, Karina Nielsen
, Peter Bauer-Gottwein
, Christian Tottrup

DHI Water - Environment - Health

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Satellite remote sensing observations offer unique possibilities to monitor, understand and predict hydrological hazards, particularly in ungauged catchments. In this study, we use state-of-the-art multi-mission remote sensing observations to update a hydrological model of the poorly instrumented Ogooué river in Gabon. We use a conceptual rainfall-runoff model forced with satellite-based climate observations; and calibrate the model parameters using an aggregated objective function including Sentinel-3 satellite altimetry and GRACE/GRACE-FO total water storage. The model is used to evaluate flood risk in combination with Sentinel-1 water surface extent and flood occurrence maps and to simulate the potential impact of climate change on the rainfall-runoff processes in the catchment.

Original language	English
Title of host publication	Proceedings of 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Publisher	IEEE
Publication date	2021
Pages	451-454
ISBN (Print)	978-1-6654-0369-6
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554148
Publication status	Published - 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium - Brussels, Belgium Duration: 11 Jul 2021 → 16 Jul 2021 https://ieeexplore.ieee.org/xpl/conhome/9553015/proceeding

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium
Country/Territory	Belgium
City	Brussels
Period	11/07/2021 → 16/07/2021
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9553015/proceeding

Series	IEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN	2153-6996

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Flood
Catchment hydrology
Surface water extent
Water surface elevation
Altimetry

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10.1109/IGARSS47720.2021.9554148

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Cite this

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title = "Multi-Mission Remote Sensing Observations for Optimizing Hydrological Hazard Predictions",

abstract = "Satellite remote sensing observations offer unique possibilities to monitor, understand and predict hydrological hazards, particularly in ungauged catchments. In this study, we use state-of-the-art multi-mission remote sensing observations to update a hydrological model of the poorly instrumented Ogoou{\'e} river in Gabon. We use a conceptual rainfall-runoff model forced with satellite-based climate observations; and calibrate the model parameters using an aggregated objective function including Sentinel-3 satellite altimetry and GRACE/GRACE-FO total water storage. The model is used to evaluate flood risk in combination with Sentinel-1 water surface extent and flood occurrence maps and to simulate the potential impact of climate change on the rainfall-runoff processes in the catchment.",

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Kittel, CMM, Druce, D, Nielsen, K , Bauer-Gottwein, P & Tottrup, C 2021, Multi-Mission Remote Sensing Observations for Optimizing Hydrological Hazard Predictions. in Proceedings of 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, IEEE International Geoscience and Remote Sensing Symposium Proceedings, pp. 451-454, 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 11/07/2021. https://doi.org/10.1109/IGARSS47720.2021.9554148

Multi-Mission Remote Sensing Observations for Optimizing Hydrological Hazard Predictions. / Kittel, Cécile M. M.; Druce, Daniel; Nielsen, Karina et al.
Proceedings of 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2021. p. 451-454 (IEEE International Geoscience and Remote Sensing Symposium Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Kittel CMM, Druce D, Nielsen K , Bauer-Gottwein P, Tottrup C. Multi-Mission Remote Sensing Observations for Optimizing Hydrological Hazard Predictions. In Proceedings of 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE. 2021. p. 451-454. (IEEE International Geoscience and Remote Sensing Symposium Proceedings). doi: 10.1109/IGARSS47720.2021.9554148

Multi-Mission Remote Sensing Observations for Optimizing Hydrological Hazard Predictions

Abstract

Conference

UN SDGs

Keywords

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