Satellite Data Sources¶

GeeFetch provides access to a variety of satellite data sources through Google Earth Engine. This page offers an overview of all supported satellites and guides you in selecting the appropriate data source for your needs.

Supported Satellites¶

GeeFetch supports the following satellite data sources, each accessible through a dedicated command:

Satellite	Command	Description	Resolution	Main Applications
Sentinel-2	`s2`	Multispectral optical imagery	10m, 20m, 60m	Vegetation monitoring, agriculture, land use classification
Sentinel-1	`s1`	Synthetic Aperture Radar (SAR)	10m-40m	All-weather monitoring, flood mapping, sea ice tracking
Landsat-8	`landsat8`	Multispectral optical imagery	15m-30m	Long-term land change monitoring, broad area coverage
GEDI	`gedi`	LiDAR-based forest structure	25m	Forest canopy height, biomass estimation
Dynamic World	`dynworld`	Land use/land cover classification	10m	Near real-time land cover mapping
Palsar-2	`palsar2`	L-band SAR imagery	10m-100m	Forest monitoring, soil moisture, geology
NASADEM	`nasadem`	Digital elevation model	30m	Topography, hydrological modeling
Custom	`custom`	Any GEE image collection	Varies	Custom data needs

Choosing the Right Satellite Data¶

Selecting the appropriate satellite data depends on your specific application:

For Vegetation and Agriculture¶

Sentinel-2: High resolution optical imagery with specialized vegetation bands
Landsat-8: Longer historical coverage with good spectral capabilities
Dynamic World: Pre-classified land cover including crop and vegetation classes

For All-Weather Monitoring¶

Sentinel-1: C-band SAR that can penetrate clouds and operate day/night
Palsar-2: L-band SAR with greater penetration capabilities for forests

For Elevation and Terrain¶

NASADEM: High-quality global elevation data

For Forest Structure¶

GEDI: Specialized LiDAR data for detailed forest structure measurements

For Custom Applications¶

Custom: Flexibility to access any image collection available in Google Earth Engine

Custom Data Sources¶

The custom command provides access to any image collection available in Google Earth Engine without special processing steps beyond mosaicking. This allows you to leverage GeeFetch's downloading capabilities while accessing data sources not explicitly supported through dedicated commands.

# Example custom configuration
custom:
  nrti:
    url: "COPERNICUS/S5P/NRTI/L3_NO2"
    selected_bands: ["NO2_column_number_density", "cloud_fraction"]
    pixel_range:
      NO2_column_number_density: [-0.0006, 0.0096]
      cloud_fraction: [0, 1]

See Custom download for more details.

Processing Overview¶

For each supported satellite, GeeFetch applies standardized preprocessing steps to ensure data quality and consistency. These typically include:

Filtering by date range and area of interest
Cloud masking (for optical sensors)
Mosaicking of multiple images
Resampling to target resolution
Scaling to maximize precision within the requested data type.

See the dedicated page for each satellite for detailed information on specific processing steps.

Next Steps¶

Review detailed specifications for specific satellites like Sentinel-2
Learn about configuration options to customize your downloads
Explore examples showing how to use different satellite data