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

被引:0
|
作者
Domej, Gisela [1 ]
Pluta, Kacper [2 ]
Ewertowski, Marek [1 ]
机构
[1] Adam Mickiewicz Univ, Inst Geoecol & Geoinformat, Fac Geog & Geol Sci, Dept Geomorphol, Ul B Krygowskiego 10, PL-61680 Poznan, Poland
[2] Univ Gustave Eiffel, ESIEE Paris, Cite Descartes, 2 Bd Blaise Pascal, F-93160 Noisy Le Grand, France
关键词
Google Earth Engine; Satellite imagery; Landsat; Sentinel; Cloud masking; !text type='Java']Java[!/text]Script; GIS; Remote sensing; DIFFERENCE WATER INDEX; BIG DATA APPLICATIONS; VEGETATION INDEX; SEASONAL SEPARATION; LANDSAT IMAGERY; NATURAL HAZARDS; TIME-SERIES; SNOW COVER; POPULATION; DYNAMICS;
D O I
10.1016/j.envsoft.2024.106227
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Satellite imagery is provided by different missions such as ASTER, MODIS, Sentinel, Landsat, IKONOS, GeoEye, SPOT, WorldView, Ple<acute accent>aides, 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.
引用
收藏
页数:16
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