Version 0.1.0 | 5 Aug 2022
Through the Google Earth Engine API, the AgReFed Data-Harvester provides access to the following satellite products:
- USGS Landsat 9 Level 2, Collection 2, Tier 1
- USGS Landsat 8 Level 2, Collection 2, Tier 1
- USGS Landsat 7 Level 2, Collection 2, Tier 1
- USGS Landsat 5 Level 2, Collection 2, Tier 1
- Sentinel-2 MSI: MultiSpectral Instrument, Level-2A
Note that Earth Engine is still under active development. Download and
access limits apply, including a maximum download size of 32 MB
(but, ~50MB raw).
The Data Harvester uses the geedim
package
to overcome this ceiling but cloud processing limits (e.g. during compositing of
images) will continue to limit the amount of data that can be downloaded.
The USGS/NASA Landsat Program provides satellite spectral and thermal data of the Earth from 1972. Collection 2, Tier 1 products in the catalog represent data of the highest available quality with inclusions of corrections for improved geometric accuracy, digital elevation modeling and radiometric calibrations. Strips of collected data are packaged into overlapping "scenes" covering approximately 170 km x 183 km using a standardized reference grid.
Coverage: See coverage here
Resolution: 15/30/100 m
Period (y-m-d):
- Landsat 9 : 2021-10-31 – present
- Landsat 8 : 2013-03-18 – present
- Landsat 7 : 1999-05-28 – 2022-04-06
- Landsat 5 : 1984-03-16 – 2012-05-05
Updates: Daily
Revisit frequency: 16 days
Attribution: tbd
Sentinel-2 is part of a constellation of satellites in the Copernicus Program and surface reflectance images have been available from 2017. Level 2A images provide orthorectified and atmospherically corrected surface reflectance data. Each Level 2A product is composed of 100 km^2^ tiles in cartographic geometry (UTM/WGS84 projection).
Coverage: See coverage here
Resolution: 10/20/60 m
Period (y-m-d): 2017-03-28 – present
Updates: Daily
Revisit frequency: 5 days
Attribution: tbd
The following functionality are supported:
- Selecting image(s) based on date(s)
- Automatic cloud masking, shadow masking, using
eemont
andgeedim
- Automatic scale and offsetting, using
eemont
- Image compositioning/reduction
- Automatic calculation of spectral indices (via Awesome Spectral Indices)
- Interactive map previews, with automatic pixel stretching, using
geemap
andgeetools
- Download image(s) using split-download-assemble method to overcome size
limits, using
geedim