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Building and Managing Local Databases from Google Earth Engine with the geeLite R Package

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  • Marcell Tamas Kurbucz
  • Bo Pieter Johannes Andree

Abstract

Google Earth Engine has transformed geospatial analysis by providing access to petabytes of satellite imagery and geospatial data, coupled with the substantial computational power required for in-depth analysis. This accessibility empowers scientists, researchers, and non-experts alike to address critical global challenges on an unprecedented scale. In recent years, numerous R packages have emerged to leverage Google Earth Engine’s functionalities. However, constructing and managing complex spatio-temporal databases for monitoring changes in remotely sensed data remains a challenging task that often necessitates advanced coding skills. To bridge this gap, geeLite, a novel R package, is introduced to facilitate the construction, management, and updating of local databases for Google Earth Engine-computed geospatial features, which enables users to monitor their evolution over time. By storing geospatial features in SQLite format—a serverless and self-contained database solution requiring no additional setup or administration—geeLite simplifies the data collection process. Furthermore, it streamlines the conversion of stored data into native R formats and provides functions for aggregating and processing created databases to meet specific user needs.

Suggested Citation

  • Marcell Tamas Kurbucz & Bo Pieter Johannes Andree, 2025. "Building and Managing Local Databases from Google Earth Engine with the geeLite R Package," Policy Research Working Paper Series 11115, The World Bank.
  • Handle: RePEc:wbk:wbrwps:11115
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