Geospatial Data Science with Earth Engine and Geemap
Geospatial Data Science with Earth Engine and Geemap#
Google Earth Engine (GEE) is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets [Gorelick et al., 2017]. During the past few years, GEE has become very popular in the geospatial community and it has empowered numerous environmental applications at local, regional, and global scales [Amani et al., 2020, Boothroyd et al., 2020, Tamiminia et al., 2020, Wu et al., 2019]. Since GEE became publicly available in 2010, there has been an exponential growth in the number of peer-reviewed journal publications empowered by GEE (see Fig. 1). Based on the most recent bibliometric analysis, there are 698 peer-reviewed journal publications with the word “Google Earth Engine” in the title and 1,779 publications with the word “Google Earth Engine” in either the title or abstract. In 2021, the number of publications with “Google Earth Engine” in the title or abstract reached almost 800, which is more than a 20-fold increase from the year 2014 with only 4 publications.