SNOW COVER MONITORING BY SYNERGISTIC USE OF SENTINEL-3 SLSTR AND SENTINEL-1 SAR DATA

被引：0

作者：

Nagler, Thomas ^{[1
]}

Rott, Helmut ^{[1
]}

Ossowska, Joanna ^{[1
]}

Schwaizer, Gabriele ^{[1
]}

Small, David ^{[2
]}

Malnes, Eirik ^{[3
]}

Luojus, Kari ^{[4
]}

Metsamaki, Sari ^{[5
]}

Pinnock, Simon ^{[6
]}

机构：

[1] Environm Earth Observat IT GmbH, ENVEO, Innsbruck, Austria

[2] Univ Zurich, Zurich, Switzerland

[3] Norut, Tromso, Norway

[4] Finnish Meteorol Inst, Helsinki, Finland

[5] Finnish Environm Inst, Helsinki, Finland

[6] ESA Climate Off, Harwell, Berks, England

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

关键词：

Snow extent; snow melt area; Sentinel-1; Sentinel-3; Copernicus programme;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Sentinel satellite missions of the European Copernicus programme provide comprehensive data for long-term routine observations of the global environment. A key parameter for climate monitoring, hydrology and water management is the seasonal snow cover. We developed, implemented and tested a novel approach for monitoring snow extent and snowmelt area, exploiting the synergy of imaging radar of the Sentinel-1 mission and multispectral optical imagery of the SLSTR sensor on Sentinel-3. We describe the processing steps and algorithms for generating the synergistic snow cover product and show examples for snow cover maps over Europe based on single mission data as well as the final synergistic product.

引用

页码：8727 / 8730

页数：4

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