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

共 50 条

[1] COMPARISON OF SENTINEL-1 SAR AND SENTINEL-3 ALTIMETRY DATA FOR SEA ICE TYPE DISCRIMINATION
Aldenhoff, Wiebke
Eriksson, Leif E. B.
Heuze, Celine
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 4238 - 4241
[2] Actual Evapotranspiration Estimation Using Sentinel-1 SAR and Sentinel-3 SLSTR Data Combined with a Gradient Boosting Machine Model in Busia County, Western Kenya
Musyimi, Peter K.
Sahbeni, Ghada
Timar, Gabor
Weidinger, Tamas
Szekely, Balazs
ATMOSPHERE, 2022, 13 (11)
[3] LAND COVER MAPPING USING SENTINEL-1 SAR DATA
Abdikan, S.
Sanli, F. B.
Ustuner, M.
Calo, F.
XXIII ISPRS CONGRESS, COMMISSION VII, 2016, 41 (B7): : 757 - 761
[4] SENTINEL-1 SAR IMAGE CAPABILITIES FOR LAKE ICE COVER MONITORING
Chaabani, Chayma
Homayouni, Saeid
Chokmani, Karem
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 203 - 206
[5] Component temperature inversion algorithm based on Sentinel-3 SLSTR data
Kang T.
Guo M.
Cao B.
Ren H.
Fan W.
National Remote Sensing Bulletin, 2021, 25 (08) : 1671 - 1682
[6] Monitoring Large-Scale Inland Water Dynamics by Fusing Sentinel-1 SAR and Sentinel-3 Altimetry Data and by Analyzing Causal Effects of Snowmelt
Tsai, Ya-Lun S.
Klein, Igor
Dietz, Andreas
Oppelt, Natascha
REMOTE SENSING, 2020, 12 (23) : 1 - 30
[7] Suitability study of the future sensor Sentinel-3/SLSTR for monitoring the active fire
Calle, A.
Salvador, P.
Gonzaz-Alonso, F.
REVISTA DE TELEDETECCION, 2013, (40): : 62 - 70
[8] Synergistic Use of the SRAL/MWR and SLSTR Sensors on Board Sentinel-3 for the Wet Tropospheric Correction Retrieval
Aguiar, Pedro
Vieira, Telmo
Lazaro, Clara
Fernandes, M. Joana
REMOTE SENSING, 2022, 14 (13)
[9] Monitoring Harvesting by Time Series of Sentinel-1 SAR Data
Kavats, Olena
Khramov, Dmitriy
Sergieieva, Kateryna
Vasyliev, Volodymyr
REMOTE SENSING, 2019, 11 (21)
[10] All-Weather Monitoring of Ulva prolifera in the Yellow Sea Based on Sentinel-1, Sentinel-3, and NPP Satellite Data
Li, Chuan
Zhu, Xiangyu
Li, Xuwen
Jiang, Sheng
Shi, Hao
Zhang, Yue
Chen, Bing
Ge, Zhiwei
Mao, Lingfeng
REMOTE SENSING, 2023, 15 (24)

← 1 2 3 4 5 →