ASSESSMENT OF SNOW COVER PRODUCT USING GOOGLE EARTH ENGINE CLOUD COMPUTING PLATFORM

被引：0

作者：

Li, Zhen ^{[1
]}

Liu, Chang ^{[1
]}

Zhang, Ping ^{[1
]}

Tian, Bangseng ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China

来源：

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

关键词：

GEE; assessment; MODIS snow products; Landsat;

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：

Accurate monitoring of the global snow cover is important in understanding the impact of the climate on snow cover. Google Earth Engine (GEE) is a cloud computing platform dedicated to satellite imagery and other Earth observation data. Taking the Landsat TM data as true data, this paper evaluated and analyzed MODIS snow cover products by GEE in snow seasons. Using GEE JavaScript program, we obtain that error rate of MODIS snow cover product, the missing rate during the snow season with finally 88.94% of overall average accuracy in the test sites. The results showed that the GEE platform can be used to assess accurately the snow products with high efficiency.

引用

页码：5203 / 5205

页数：3

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