CataEx: A multi-task export tool for the Google Earth Engine data catalog

IF 4.8 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-09-26 DOI:10.1016/j.envsoft.2024.106227

Gisela Domej , Kacper Pluta , Marek Ewertowski

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Abstract

Satellite imagery is provided by different missions such as ASTER, MODIS, Sentinel, Landsat, IKONOS, GeoEye, SPOT, WorldView, Pléaides, or RapidEye. One of the major encumbrances is the digital volume that satellite imagery claims during download, storage, and processing. This inconvenience has been overcome since 2010 by the Google Earth Engine, a cloud-based platform for global geospatial analysis dedicated to users who are not necessarily remote sensing specialists.

However, compatibility with traditional desktop or web-based GIS software remains tricky as bringing satellite imagery from the Google Earth Engine to another software requires a coded export via JavaScript or Python.

We present the multi-functional code tool CataEx in JavaScript to exemplify several essential types of computations (i.e., filtering of image collections, cloud masking, index and histogram generation, and layer creation) before exporting images as GeoTIFFs. CataEx is kept deliberately simple without much "sophisticated" code language to allow JavaScript beginners to get familiar with basic coding concepts and develop their own scripts.

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CataEx：谷歌地球引擎数据目录的多任务导出工具

卫星图像由不同的任务提供，如 ASTER、MODIS、Sentinel、Landsat、IKONOS、GeoEye、SPOT、WorldView、Pléaides 或 RapidEye。其中一个主要障碍是卫星图像在下载、存储和处理过程中产生的数字体积。自 2010 年以来，谷歌地球引擎（Google Earth Engine）克服了这一不便，它是一个基于云的全球地理空间分析平台，专门面向不一定是遥感专家的用户。然而，与传统桌面或基于网络的 GIS 软件的兼容性仍然很棘手，因为将卫星图像从谷歌地球引擎导出到其他软件需要通过 JavaScript 或 Python 进行编码导出、在将图像导出为 GeoTIFFs 之前，我们介绍了 JavaScript 中的多功能代码工具 CataEx，它演示了几种基本计算类型（即图像集合过滤、云遮蔽、索引和直方图生成以及图层创建）。CataEx 特意保持简单，没有太多 "复杂 "的代码语言，以便 JavaScript 初学者熟悉基本编码概念并开发自己的脚本。

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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来源期刊

Environmental Modelling & Software 工程技术-工程：环境

CiteScore

9.30

自引率

8.20%

发文量

241

审稿时长

60 days

期刊介绍： Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.