NASA WRANGLER: AUTOMATED CLOUD-BASED DATA ASSEMBLY IN THE RECOVER WILDFIRE DECISION SUPPORT SYSTEM

被引：0

作者：

Schnase, John ^{[1
]}

Carroll, Mark ^{[1
]}

Gill, Roger ^{[1
]}

Wooten, Margaret ^{[1
]}

Weber, Keith ^{[2
]}

Blair, Kindra ^{[2
]}

May, Jeffrey ^{[2
]}

Toombs, William ^{[2
]}

机构：

[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

[2] Idaho State Univ, GIS Training & Res Ctr, Pocatello, ID 83209 USA

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

cloud computing; decision support;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

NASA Wrangler is a loosely-coupled, event driven, highly parallel data aggregation service designed to take advantage of the elastic resource capabilities of cloud computing. Wrangler automatically collects Earth observational data, climate model outputs, derived remote sensing data products, and historic biophysical data for pre-, active-, and post-wildfire decision making. It is a core service of the RECOVER decision support system, which is providing rapid-response GIS analytic capabilities to state and local government agencies. Wrangler reduces to minutes the time needed to assemble and deliver crucial wildfire-related data.

引用

页码：5201 / 5204

页数：4

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