Teaching Documents by Sivarajah Mylevaganam
Google Earth Engine (GEE) is a cloud centered platform for temporal and spatial geoprocessing and... more Google Earth Engine (GEE) is a cloud centered platform for temporal and spatial geoprocessing and analysis on global challenges that require more computation power and involve large geospatial datasets. In GEE, the user analyses are automatically parallelized to make use of the computers housed in Google data centers. Moreover, GEE comes with a massive data catalog of 40 years of historical and current remotely sensed imageries (e.g., MODIS, Landsat) and other data. This data archive is constantly updated with the acquisition of new images. GEE also allows users to do spatial and temporal analyses based on their own data (e.g., vector, raster) that are exported into GEE data catalog. The exported data can be kept private or made available for other users of GEE.
To facilitate the users, such as academicians and scientists, and to script more complex analysis, the functionality of GEE is exposed through Application Programming Interfaces (APIs) for JavaScript and Python.
Google Earth Engine (GEE) is a cloud centered platform for temporal and spatial geoprocessing and... more Google Earth Engine (GEE) is a cloud centered platform for temporal and spatial geoprocessing and analysis on global challenges that require more computation power and involve large geospatial datasets. In GEE, the user analyses are automatically parallelized to make use of the computers housed in Google data centers. Moreover, GEE comes with a massive data catalog of 40 years of historical and current remotely sensed imageries (e.g., MODIS, Landsat) and other data. This data archive is constantly updated with the acquisition of new images. GEE also allows users to do spatial and temporal analyses based on their own data (e.g., vector, raster) that are exported into GEE data catalog. The exported data can be kept private or made available for other users of GEE.
To facilitate the users, such as academicians and scientists, and to script more complex analysis, the functionality of GEE is exposed through Application Programming Interfaces (APIs) for JavaScript and Python.
Papers by Sivarajah Mylevaganam
Drafts by Sivarajah Mylevaganam
Uploads
Teaching Documents by Sivarajah Mylevaganam
To facilitate the users, such as academicians and scientists, and to script more complex analysis, the functionality of GEE is exposed through Application Programming Interfaces (APIs) for JavaScript and Python.
To facilitate the users, such as academicians and scientists, and to script more complex analysis, the functionality of GEE is exposed through Application Programming Interfaces (APIs) for JavaScript and Python.
Papers by Sivarajah Mylevaganam
More details:
https://github.com/sivarajahm/CEngineering
Drafts by Sivarajah Mylevaganam
More details:
https://github.com/sivarajahm/CEngineering
More details:
https://github.com/sivarajahm/CEngineering
To facilitate the users, such as academicians and scientists, and to script more complex analysis, the functionality of GEE is exposed through Application Programming Interfaces (APIs) for JavaScript and Python.
To facilitate the users, such as academicians and scientists, and to script more complex analysis, the functionality of GEE is exposed through Application Programming Interfaces (APIs) for JavaScript and Python.
More details:
https://github.com/sivarajahm/CEngineering
More details:
https://github.com/sivarajahm/CEngineering
More details:
https://github.com/sivarajahm/CEngineering