Remote Sensing

M. Esbrí
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Abstract

In this chapter we present the concepts of remote sensing and Earth Observation and, explain why several of their characteristics (volume, variety and velocity) make us consider Earth Observation as Big Data. Thereafter, we discuss the most commonly open data formats used to store and share the data. The main sources of Earth Observation data are also described, with particular focus on the constellation of Sentinel satellites, Copernicus Hub and its six thematic services, as well as other private initiatives like the five Copernicus-related Data and Information Access Services and  Sentinel Hub. Next, we present an overview of representative software technologies for efficiently describing, storing, querying and accessing Earth Observation datasets. The chapter concludes with a summary of the Earth Observation datasets used in each DataBio pilot.
遥感
在本章中,我们将介绍遥感和地球观测的概念,并解释为什么它们的一些特征(体积、种类和速度)使我们将地球观测视为大数据。之后,我们将讨论用于存储和共享数据的最常用的开放数据格式。本文还介绍了地球观测数据的主要来源,重点介绍了哨兵卫星星座、哥白尼中心及其六项专题服务,以及其他私人倡议,如五项与哥白尼相关的数据和信息访问服务和哨兵中心。接下来,我们概述了有效描述、存储、查询和访问地球观测数据集的代表性软件技术。本章最后总结了每个DataBio试点使用的地球观测数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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