The data available is from multiple satellites, such as the complete Landsat series Moderate Resolution Imaging Spectrometer (MODIS) National Oceanographic and Atmospheric Administration Advanced very high resolution radiometer (NOAA AVHRR) Sentinel 1, 2, and 3 Advanced Land Observing Satellite (ALOS) etc. The data repository is a collection of over 40 years of satellite imagery for the whole world, with many locations having two-week repeat data for the whole period, and a sizeable collection of daily and sub-daily data as well. The Google Earth Engine (GEE) is a web portal providing global time-series satellite imagery and vector data, cloud-based computing, and access to software and algorithms for processing such data. There were very few studies originating from institutions based in less developed nations and those that targeted less developed nations, particularly in the African continent. Examination of data also showed that the usage was dominated by institutions based in developed nations, with study sites mainly in developed nations. Landsat was the most widely used dataset it is the biggest component of the GEE data portal, with data from the first to the current Landsat series available for use and download. The application areas were quite varied, ranging from forest and vegetation studies to medical fields such as malaria. There were also a number of papers in premium journals such as Nature and Science. The highest number of papers were in the journal Remote Sensing, followed by Remote Sensing of Environment. Analysis of published literature showed that a total of 300 journal papers were published between 2011 and June 2017 that used GEE in their research, spread across 158 journals. This study was undertaken to investigate the usage patterns of the Google Earth Engine platform and whether researchers in developing countries were making use of the opportunity. However, the uptake and usage of the opportunity remains varied and unclear. Established towards the end of 2010, it provides access to satellite and other ancillary data, cloud computing, and algorithms for processing large amounts of data with relative ease. The Google Earth Engine (GEE) portal provides enhanced opportunities for undertaking earth observation studies.
0 kommentar(er)
