USING MSG-SEVIRI DATA TO MONITOR THE PLANET IN NEAR REAL TIME

被引：0

作者：

Julien, Y. ^{[1
]}

Sobrino, J. A. ^{[1
]}

Jimenez-Munoz, J. -C. ^{[1
]}

Soria, G. ^{[1
]}

Skokovic, D. ^{[1
]}

Gomis-Cebolla, J. ^{[1
]}

Garcia Monteiro, S. ^{[1
]}

机构：

[1] Univ Valencia, Image Proc Lab, Global Change Unit, Parque Cient,C Catedrat Jose Beltran 2, Paterna 46980, Spain

来源：

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

关键词：

Meteosat Second Generation; SEVIRI; LST; SST; fire detection; processing; near real time; SURFACE TEMPERATURE RETRIEVAL; ALGORITHM;

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 SEVIRI (Spinning Enhanced Visible and Infra Red Imager) instrument onboard MSG (Meteosat Second Generation) satellite series provides valuable data for the observation of our planet. We describe here the processing chain implemented at the Global Change Unit of the University of Valencia to provide information such as vegetation index, temperatures of both land and sea, synthetic quicklooks for an easy interpretation of the data as well as fire hotspots. Vegetation index and temperature data are available for download from a dedicated portal updated every 3 hours with the most recent processed data. Additionally, a web page displays this information for a non scientific public in near real time, with updated data every 15 minutes. Parameters available from this webpage will be validated in a near future, and extended to drought and vegetation condition index, as well as vegetation and temperature anomalies.

引用

页码：776 / 779

页数：4

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