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Building a global, consistent, and meaningful Landsat 7 data archiev

机译:建立全球,一致且有意义的Landsat 7数据存档

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摘要

The mission of Landsat 7 is to acquire and periodically refresh a global archieve of sun-lit, substantially cluod-free land scenes. For the U.S. archive, Landsat 7 is acquiring every l and scene at least once every year, at an average rate of 250 scenes each day or 90,000 scenes each year. This is the first time in the 25 year history o f Landsat data acquisitions that there is a deliberate goal to build this archive such that any data of interest to the majority of users will already be in the archive when they go looking for it-at the right gain setting, at the right time, sugbstantially clud-free, and at the right frequency of acquisition. Anticipating most suers' data needs is the key to achieving this lofty goal. The Long Term Acquisition Plan (LTAP) dictates the optimum acquisition refresch cycle for each scene, based on change detection and special interest inputs. The plan also specifies monthyly optimum gain setting to maximize scene data return. Scheduling software automatically schedules acuisitions in accordance with this LTAP, making decisions as to acceptable cloud cover levels, urgency of acquisition, and availability of resources to fulfill the plan.
机译:Landsat 7的任务是获取并定期刷新阳光普照,基本没有云​​团的陆地场景的全球档案。对于美国档案馆来说,Landsat 7每年至少要获取一次每l个场景,平均每天要获取250个场景,或者每年要获取90,000个场景。这是Landsat数据采集25年历史上的第一个蓄意目标是建立此归档文件,以使大多数用户感兴趣的任何数据在他们寻找时都已经存在于归档文件中。在正确的时间,正确的采集频率和正确的增益设置正确的增益。预期大多数用户的数据需求是实现这一崇高目标的关键。长期采集计划(LTAP)根据更改检测和特殊兴趣输入来指定每个场景的最佳采集刷新周期。该计划还指定了每月最佳增益设置,以最大化场景数据返回。计划软件会根据此LTAP自动计划度假活动,并就可接受的云覆盖级别,获取的紧迫性和实现计划所需的资源做出决策。

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