空間大數據基礎架構平台之簡介

Introduction to Geospatial Big Data Infrastructure

張智安(Tee-Ann Teo)；楊筑鈞(Chu-Chun Yang)；傅于洳(Yu-Ju Fu)

空間大數據 ； 開放資料 ； 基礎架構 ； 衛星影像 ； Geospatial Big Data ； Open Data ； Infrastructure ； Satellite Imagery

國土測繪與空間資訊

6卷2期（2018 / 07 / 01）

97 - 116

繁體中文

Geospatial Big Data Infrastructure(GBDI)是指在雲端平台中整合巨量空間資料的平台，為現今空間資訊領域重要的發展方向。現行以巨量遙測影像為基礎的平台包含Amazon Earth on AWS、Google Earth Engine(GEE)、DigitalGlobe Geospatial Big Data Solution、Planet Lab Planet Explorer及Data Cube等。這類平台主要的特色是整合巨量多時序的遙測影像，可快速觀察及分析地表任一位置的時空變化，探討環境動態過程，以GEE為例，GEE可直接存取影像進行應用分析，如全球森林改變等。本文目的為介紹現有GBDI平台空間資料數據集、平台功能及應用範例，並以GEE平台建立台灣地區無雲影像為應用案例，說明GBDI的概念及可能應用。

Geospatial Big Data Infrastructure (GBDI) refers to a platform that integrates a huge amount of spatial data on the same platform and is an important development in geospatial technology. Several GBDI platforms has been established by government or company, for example, Amazon Earth on AWS, Google Earth Engine (GEE), Digital Globe Geospatial Big Data Solution, Planet Lab Planet Explorer, and Data Cube. The feature of these platforms is the integration of huge amount of time-series satellite images, which can quickly visualize and analyze the spatial-temporal variations of any position on the earth's surface. Taking GEE as an example, GEE can directly access time-series satellite images for different applications and analysis, e.g. global forest change. In order to introduce the concept and possible applications of GBDI, this study introduces the existing GBDI platforms in the way of data sets, functions and applications. Moreover, Taiwan cloud free image generation by GEE was also provided as a case study.

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