Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter V2019 Decay Model Parameters

Earth_Big_Data/GLOBAL_SEASONAL_S1/V2019/DECAY_MODEL_PARAMETERS
Dataset Availability
2019-12-01T00:00:00Z–2020-12-01T00:00:00Z
Dataset Producer
Earth Engine Snippet
ee.ImageCollection("Earth_Big_Data/GLOBAL_SEASONAL_S1/V2019/DECAY_MODEL_PARAMETERS")
Tags
earth-big-data jpl nasa polarization radar sar satellite-imagery seasonal sentinel1-derived

Description

This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses and ice sheets from 82 degrees Northern to 79 degrees Southern latitudes. The data set is derived from multi-temporal repeat-pass interferometric processing of about 205,000 Sentinel-1 C-band SAR images acquired in Interferometric Wide-Swath Mode from 1-Dec-2019 to 30-Nov-2020.

This dataset includes parameters for the coherence decay model, an exponential function fitted to the seasonal median coherence values as a function of the repeat interval to quantify how quickly coherence is lost over time. The parameters are:

  • rho: Represents the long-term coherence, the value that the model predicts as the repeat interval increases to infinity. It is a measure of the temporal stability of the scattering elements in the target area.

  • tau: Represents the rate of coherence decay, a measure of how quickly the coherence drops from its initial high value towards rho. Lower values indicate faster decorrelation.

  • rmse: The root mean square error, a quality indicator of the model fit. It quantifies the difference between the modeled coherence curve and the original, non-aggregated coherence observations used to fit the model.

The scale factor has already been applied to each of the bands. If you would like to do calculations using the digital numbers from the original rasters, load Earth_Big_Data/GLOBAL_SEASONAL_S1/V2019/DECAY_MODEL_PARAMETERS_RAW instead.

Other datasets derived from Sentinel-1 observations over the same time period include:

Bands

Pixel Size
92.7 meters

Bands

Name Pixel Size Description
fall_hh_rho meters

Fall (Sep-Nov 2020) HH rho.

fall_hh_rmse meters

Fall (Sep-Nov 2020) HH rmse.

fall_hh_tau meters

Fall (Sep-Nov 2020) HH tau.

fall_vv_rho meters

Fall (Sep-Nov 2020) VV rho.

fall_vv_rmse meters

Fall (Sep-Nov 2020) VV rmse.

fall_vv_tau meters

Fall (Sep-Nov 2020) VV tau.

spring_hh_rho meters

Spring (Mar-May 2020) HH rho.

spring_hh_rmse meters

Spring (Mar-May 2020) HH rmse.

spring_hh_tau meters

Spring (Mar-May 2020) HH tau.

spring_vv_rho meters

Spring (Mar-May 2020) VV rho.

spring_vv_rmse meters

Spring (Mar-May 2020) VV rmse.

spring_vv_tau meters

Spring (Mar-May 2020) VV tau.

summer_hh_rho meters

Summer (Jun-Aug 2020) HH rho.

summer_hh_rmse meters

Summer (Jun-Aug 2020) HH rmse.

summer_hh_tau meters

Summer (Jun-Aug 2020) HH tau.

summer_vv_rho meters

Summer (Jun-Aug 2020) VV rho.

summer_vv_rmse meters

Summer (Jun-Aug 2020) VV rmse.

summer_vv_tau meters

Summer (Jun-Aug 2020) VV tau.

winter_hh_rho meters

Winter (Dec 2019-Feb 2020) HH rho.

winter_hh_rmse meters

Winter (Dec 2019-Feb 2020) HH rmse.

winter_hh_tau meters

Winter (Dec 2019-Feb 2020) HH tau.

winter_vv_rho meters

Winter (Dec 2019-Feb 2020) VV rho.

winter_vv_rmse meters

Winter (Dec 2019-Feb 2020) VV rmse.

winter_vv_tau meters

Winter (Dec 2019-Feb 2020) VV tau.

Image Properties

Image Properties

Name Type Description
tile_id STRING

Tile ID

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • Kellndorfer, J., Cartus, O., Lavalle, M. et al. Global seasonal Sentinel-1 interferometric coherence and backscatter data set. Sci Data 9, 73 (2022). doi:10.1038/s41597-022-01189-6.

DOIs

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection(
    'Earth_Big_Data/GLOBAL_SEASONAL_S1/V2019/DECAY_MODEL_PARAMETERS');
var visParams = {
  bands: ['fall_hh_rho'],
  min: 0,
  max: 0.25,
};
Map.setCenter(-45.2, 64.177, 5);
Map.addLayer(dataset, visParams, 'Fall HH rho');
Open in Code Editor