Research environment for advanced landsat monitoring (REALM) a computational approach for Landsat-7 global science

被引：4

作者：

Masek, JG ^{[1
]}

Shock, CT ^{[1
]}

Goward, SN ^{[1
]}

机构：

[1] Univ Maryland, Dept Geog, Landsat Sci Team Off, College Pk, MD 20742 USA

来源：

REMOTE SENSING OF ENVIRONMENT | 2001年 / 78卷 / 1-2期

基金：

美国国家航空航天局;

关键词：

D O I：

10.1016/S0034-4257(01)00260-7

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Landsat-7 science mission requires large-area analysis of land to cover to quantify anthropogenic and natural changes in Earth's terrestrial environment. Such a goal involves processing (and reprocessing) thousands of Enhanced Thematic Mapper Plus (ETM+) scenes, but current analysis methodologies that rely on "handcrafting" individual scenes cannot scale to this data flow. As an alternative, we have constructed a prototype computer system, REALM (Research Environment for Advanced Landsat Monitoring), to automate preprocessing and analysis of large volume of Landsat imagery. Users can submit arbitrary algorithms to the database using a query language to generate science results "on the fly." The current prototype, running on a cluster of Linux-based PCs, has created a preliminary forest-cover map for the northeastern US from 9 GB of ETM+ data in just 25 min, for an aggregate throughput of 6 MB/s. The exercise demonstrates the processing Landsat data over very large areas is now feasible. (C) 2001 Published by Elsevier Science Inc. All rights reserved.

引用

页码：204 / 216

页数：13

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