SNOW ESTIMATION UNDER A VEGETATION GRADIENT USING SATELLITE REMOTE SENSING DATA AND LAND SURFACE MODELING DURING SNOWEX 2017

被引：0
|
作者：
De Lannoy, Gabrielle [1 ]
Vanrykel, Anouck [1 ]
Lievens, Hans [1 ,2 ]
Kim, Ed [3 ]
Brucker, Ludovic [3 ]
机构：
[1] Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium
[2] UGent, Hydrol Lab, Ghent, Belgium
[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA
来源：
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词：
SnowEx; in situ measurements; remote sensing; land surface modeling; data merging;
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 first NASA SnowEx campaign was held in February 2017 over Grand Mesa, Colorado, covering both open and forested areas. The Belspo SNOPOST project aims at using the collected SnowEx data to enhance snow estimates using the Level 1 remote sensing data together with land surface modeling and to document the limitations of snow remote sensing where needed. A preliminary spatiotemporal analysis of in situ and satellite remote sensing data, and modeling estimates of snow will be presented.
引用
收藏
页码：6294 / 6296
页数：3
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