Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-04 09:52:34	ga_s2bm_ard_3-2-1_55GCQ_2017-08-04_final
2017-08-04 09:58:02	ga_s2bm_ard_3-2-1_55GCQ_2017-08-04_final
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55GCQ_2017-08-24_final
2017-08-24 09:57:59	ga_s2bm_ard_3-2-1_55GCQ_2017-08-24_final
2017-09-20 09:43:52	ga_s2bm_ard_3-2-1_55GCQ_2017-09-20_final
2017-10-10 09:45:45	ga_s2bm_ard_3-2-1_55GCQ_2017-10-10_final
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55GCQ_2017-12-02_final
2017-12-09 09:43:42	ga_s2bm_ard_3-2-1_55GCQ_2017-12-09_final
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_55GCQ_2017-12-12_final
2017-12-19 09:42:15	ga_s2bm_ard_3-2-1_55GCQ_2017-12-19_final
2017-12-22 09:52:45	ga_s2bm_ard_3-2-1_55GCQ_2017-12-22_final
2017-12-29 09:43:43	ga_s2bm_ard_3-2-1_55GCQ_2017-12-29_final
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_55GCQ_2018-04-08_final
2018-04-18 09:41:07	ga_s2bm_ard_3-2-1_55GCQ_2018-04-18_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GCQ_2018-04-28_final
2022-02-06 09:48:14	ga_s2bm_ard_3-2-1_55GCQ_2022-02-06_final
2022-02-09 09:58:08	ga_s2bm_ard_3-2-1_55GCQ_2022-02-09_final
2022-02-16 09:48:13	ga_s2bm_ard_3-2-1_55GCQ_2022-02-16_final
2022-02-19 09:58:07	ga_s2bm_ard_3-2-1_55GCQ_2022-02-19_final
2022-02-26 09:48:15	ga_s2bm_ard_3-2-1_55GCQ_2022-02-26_final
2022-03-01 09:58:10	ga_s2bm_ard_3-2-1_55GCQ_2022-03-01_final
2022-03-08 09:48:17	ga_s2bm_ard_3-2-1_55GCQ_2022-03-08_final
2022-03-11 09:58:11	ga_s2bm_ard_3-2-1_55GCQ_2022-03-11_final
2022-03-18 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2022-03-18_final
2022-03-21 09:58:11	ga_s2bm_ard_3-2-1_55GCQ_2022-03-21_final
2022-03-28 09:48:17	ga_s2bm_ard_3-2-1_55GCQ_2022-03-28_final
2022-03-31 09:58:10	ga_s2bm_ard_3-2-1_55GCQ_2022-03-31_final
2022-04-07 09:48:17	ga_s2bm_ard_3-2-1_55GCQ_2022-04-07_final
2022-04-10 09:58:10	ga_s2bm_ard_3-2-1_55GCQ_2022-04-10_final
2022-04-17 09:48:16	ga_s2bm_ard_3-2-1_55GCQ_2022-04-17_final
2022-04-20 09:58:09	ga_s2bm_ard_3-2-1_55GCQ_2022-04-20_final
2022-04-27 09:48:13	ga_s2bm_ard_3-2-1_55GCQ_2022-04-27_final
2022-04-30 09:58:07	ga_s2bm_ard_3-2-1_55GCQ_2022-04-30_final
2022-05-07 09:48:16	ga_s2bm_ard_3-2-1_55GCQ_2022-05-07_final
2022-05-10 09:58:11	ga_s2bm_ard_3-2-1_55GCQ_2022-05-10_final
2022-05-17 09:48:19	ga_s2bm_ard_3-2-1_55GCQ_2022-05-17_final
2022-05-20 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2022-05-20_final
2022-05-27 09:48:20	ga_s2bm_ard_3-2-1_55GCQ_2022-05-27_final
2022-05-30 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2022-05-30_final
2022-06-06 09:48:21	ga_s2bm_ard_3-2-1_55GCQ_2022-06-06_final
2022-06-09 09:58:15	ga_s2bm_ard_3-2-1_55GCQ_2022-06-09_final
2022-06-16 09:48:23	ga_s2bm_ard_3-2-1_55GCQ_2022-06-16_final
2022-06-19 09:58:17	ga_s2bm_ard_3-2-1_55GCQ_2022-06-19_final
2022-06-26 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2022-06-26_final
2022-06-29 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2022-06-29_final
2022-07-06 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2022-07-06_final
2022-07-09 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2022-07-09_final
2022-07-16 09:48:24	ga_s2bm_ard_3-2-1_55GCQ_2022-07-16_final
2022-07-19 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2022-07-19_final
2022-07-26 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2022-07-26_final
2022-07-29 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2022-07-29_final
2022-08-05 09:48:24	ga_s2bm_ard_3-2-1_55GCQ_2022-08-05_final
2022-08-08 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2022-08-08_final
2022-08-15 09:48:23	ga_s2bm_ard_3-2-1_55GCQ_2022-08-15_final
2022-08-18 09:58:16	ga_s2bm_ard_3-2-1_55GCQ_2022-08-18_final
2022-08-25 09:48:20	ga_s2bm_ard_3-2-1_55GCQ_2022-08-25_final
2022-08-28 09:58:14	ga_s2bm_ard_3-2-1_55GCQ_2022-08-28_final
2022-09-04 09:48:21	ga_s2bm_ard_3-2-1_55GCQ_2022-09-04_final
2022-09-07 09:58:16	ga_s2bm_ard_3-2-1_55GCQ_2022-09-07_final
2022-09-14 09:48:22	ga_s2bm_ard_3-2-1_55GCQ_2022-09-14_final
2022-09-17 09:58:15	ga_s2bm_ard_3-2-1_55GCQ_2022-09-17_final
2022-09-27 09:58:14	ga_s2bm_ard_3-2-1_55GCQ_2022-09-27_final
2022-10-04 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2022-10-04_final
2022-10-07 09:58:11	ga_s2bm_ard_3-2-1_55GCQ_2022-10-07_final
2022-10-14 09:48:19	ga_s2bm_ard_3-2-1_55GCQ_2022-10-14_final
2022-10-17 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2022-10-17_final
2022-10-24 09:48:19	ga_s2bm_ard_3-2-1_55GCQ_2022-10-24_final
2022-10-27 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2022-10-27_final
2022-11-03 09:48:17	ga_s2bm_ard_3-2-1_55GCQ_2022-11-03_final
2022-11-06 09:58:12	ga_s2bm_ard_3-2-1_55GCQ_2022-11-06_final
2022-11-13 09:48:19	ga_s2bm_ard_3-2-1_55GCQ_2022-11-13_final
2022-11-13 09:48:26	ga_s2bm_ard_3-2-1_55GCQ_2022-11-13_final
2022-11-16 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2022-11-16_final
2023-05-25 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-05-25_final
2023-06-01 09:48:24	ga_s2bm_ard_3-2-1_55GCQ_2023-06-01_final
2023-06-04 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-06-04_final
2023-06-11 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2023-06-11_final
2023-06-14 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-06-14_final
2023-06-21 09:48:24	ga_s2bm_ard_3-2-1_55GCQ_2023-06-21_final
2023-06-24 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-06-24_final
2023-07-01 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2023-07-01_final
2023-07-04 09:58:19	ga_s2bm_ard_3-2-1_55GCQ_2023-07-04_final
2023-07-11 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2023-07-11_final
2023-07-14 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-07-14_final
2023-07-21 09:48:26	ga_s2bm_ard_3-2-1_55GCQ_2023-07-21_final
2023-07-24 09:58:20	ga_s2bm_ard_3-2-1_55GCQ_2023-07-24_final
2023-07-31 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2023-07-31_final
2023-08-03 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-08-03_final
2023-08-10 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2023-08-10_final
2023-08-13 09:58:19	ga_s2bm_ard_3-2-1_55GCQ_2023-08-13_final
2023-08-20 09:48:25	ga_s2bm_ard_3-2-1_55GCQ_2023-08-20_final
2023-08-23 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-08-23_final
2023-08-30 09:48:24	ga_s2bm_ard_3-2-1_55GCQ_2023-08-30_final
2023-09-02 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-09-02_final
2023-09-09 09:48:24	ga_s2bm_ard_3-2-1_55GCQ_2023-09-09_final
2023-09-12 09:58:17	ga_s2bm_ard_3-2-1_55GCQ_2023-09-12_final
2023-09-19 09:48:23	ga_s2bm_ard_3-2-1_55GCQ_2023-09-19_final
2023-09-22 09:58:17	ga_s2bm_ard_3-2-1_55GCQ_2023-09-22_final
2023-09-22 09:58:23	ga_s2bm_ard_3-2-1_55GCQ_2023-09-22_final
2023-10-22 09:58:15	ga_s2bm_ard_3-2-1_55GCQ_2023-10-22_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years