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 s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless 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
2021-05-06 09:25:22	ga_s2bm_ard_3-2-1_56JML_2021-05-05_final
2021-05-16 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-05-15_final
2021-05-16 09:25:29	ga_s2bm_ard_3-2-1_56JLL_2021-05-15_final
2021-05-26 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-05-25_final
2021-06-05 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-06-04_final
2021-06-15 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-06-14_final
2021-06-25 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-06-24_final
2021-06-25 09:25:30	ga_s2bm_ard_3-2-1_56JLL_2021-06-24_final
2021-07-05 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-07-04_final
2021-07-05 09:25:31	ga_s2bm_ard_3-2-1_56JLL_2021-07-04_final
2021-07-15 09:25:27	ga_s2bm_ard_3-2-1_56JML_2021-07-14_final
2021-07-25 09:25:27	ga_s2bm_ard_3-2-1_56JML_2021-07-24_final
2021-07-25 09:25:32	ga_s2bm_ard_3-2-1_56JLL_2021-07-24_final
2021-08-04 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-08-03_final
2021-08-04 09:25:31	ga_s2bm_ard_3-2-1_56JLL_2021-08-03_final
2021-08-14 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-08-13_final
2021-08-14 09:25:30	ga_s2bm_ard_3-2-1_56JLL_2021-08-13_final
2021-08-24 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-08-23_final
2021-08-24 09:25:28	ga_s2bm_ard_3-2-1_56JLL_2021-08-23_final
2021-09-03 09:25:21	ga_s2bm_ard_3-2-1_56JML_2021-09-02_final
2021-09-03 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2021-09-02_final
2021-09-13 09:25:21	ga_s2bm_ard_3-2-1_56JML_2021-09-12_final
2021-09-13 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2021-09-12_final
2021-09-23 09:25:23	ga_s2bm_ard_3-2-1_56JML_2021-09-22_final
2021-09-23 09:25:27	ga_s2bm_ard_3-2-1_56JLL_2021-09-22_final
2021-10-03 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-10-02_final
2021-10-13 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-10-12_final
2021-10-13 09:25:31	ga_s2bm_ard_3-2-1_56JLL_2021-10-12_final
2021-10-23 09:25:27	ga_s2bm_ard_3-2-1_56JML_2021-10-22_final
2021-11-02 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-11-01_final
2021-11-02 09:25:30	ga_s2bm_ard_3-2-1_56JLL_2021-11-01_final
2021-11-12 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-11-11_final
2021-11-12 09:25:29	ga_s2bm_ard_3-2-1_56JLL_2021-11-11_final
2021-11-22 09:25:22	ga_s2bm_ard_3-2-1_56JML_2021-11-21_final
2021-11-22 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2021-11-21_final
2021-12-02 09:25:20	ga_s2bm_ard_3-2-1_56JML_2021-12-01_final
2021-12-02 09:25:25	ga_s2bm_ard_3-2-1_56JLL_2021-12-01_final
2021-12-12 09:25:19	ga_s2bm_ard_3-2-1_56JML_2021-12-11_final
2021-12-12 09:25:24	ga_s2bm_ard_3-2-1_56JLL_2021-12-11_final
2021-12-22 09:25:20	ga_s2bm_ard_3-2-1_56JML_2021-12-21_final
2021-12-22 09:25:24	ga_s2bm_ard_3-2-1_56JLL_2021-12-21_final
2022-01-01 09:25:21	ga_s2bm_ard_3-2-1_56JML_2021-12-31_final
2022-01-11 09:25:21	ga_s2bm_ard_3-2-1_56JML_2022-01-10_final
2022-01-11 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2022-01-10_final
2022-01-21 09:25:20	ga_s2bm_ard_3-2-1_56JML_2022-01-20_final
2022-01-21 09:25:25	ga_s2bm_ard_3-2-1_56JLL_2022-01-20_final
2022-01-31 09:25:19	ga_s2bm_ard_3-2-1_56JML_2022-01-30_final
2022-01-31 09:25:24	ga_s2bm_ard_3-2-1_56JLL_2022-01-30_final
2022-02-10 09:25:19	ga_s2bm_ard_3-2-1_56JML_2022-02-09_final
2022-02-10 09:25:24	ga_s2bm_ard_3-2-1_56JLL_2022-02-09_final
2022-02-20 09:25:19	ga_s2bm_ard_3-2-1_56JML_2022-02-19_final
2022-02-20 09:25:24	ga_s2bm_ard_3-2-1_56JLL_2022-02-19_final
2022-03-02 09:25:22	ga_s2bm_ard_3-2-1_56JML_2022-03-01_final
2022-03-02 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2022-03-01_final
2022-03-12 09:25:23	ga_s2bm_ard_3-2-1_56JML_2022-03-11_final
2022-03-12 09:25:28	ga_s2bm_ard_3-2-1_56JLL_2022-03-11_final
2022-03-22 09:25:23	ga_s2bm_ard_3-2-1_56JML_2022-03-21_final
2022-03-22 09:25:27	ga_s2bm_ard_3-2-1_56JLL_2022-03-21_final
2022-04-01 09:25:21	ga_s2bm_ard_3-2-1_56JML_2022-03-31_final
2022-04-01 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2022-03-31_final
2022-04-11 09:25:22	ga_s2bm_ard_3-2-1_56JML_2022-04-10_final
2022-04-21 09:25:20	ga_s2bm_ard_3-2-1_56JML_2022-04-20_final
2022-05-01 09:25:19	ga_s2bm_ard_3-2-1_56JML_2022-04-30_final
2022-05-11 09:25:23	ga_s2bm_ard_3-2-1_56JML_2022-05-10_final
2022-05-21 09:25:25	ga_s2bm_ard_3-2-1_56JML_2022-05-20_final
2022-05-31 09:25:25	ga_s2bm_ard_3-2-1_56JML_2022-05-30_final
2022-05-31 09:25:29	ga_s2bm_ard_3-2-1_56JLL_2022-05-30_final
2022-06-10 09:25:27	ga_s2bm_ard_3-2-1_56JML_2022-06-09_final
2022-06-20 09:25:29	ga_s2bm_ard_3-2-1_56JML_2022-06-19_final
2022-06-30 09:25:30	ga_s2bm_ard_3-2-1_56JML_2022-06-29_final
2022-08-25 09:41:27	ga_s2bm_ard_3-2-1_56KLG_2022-08-25_final.stac-item
2022-09-04 09:41:28	ga_s2bm_ard_3-2-1_56KLG_2022-09-04_final.stac-item
2022-09-14 09:41:29	ga_s2bm_ard_3-2-1_56KLG_2022-09-14_final.stac-item
2022-09-24 09:41:28	ga_s2bm_ard_3-2-1_56KLG_2022-09-24_final.stac-item
2022-10-04 09:41:25	ga_s2bm_ard_3-2-1_56KLG_2022-10-04_final.stac-item
2022-10-14 09:41:26	ga_s2bm_ard_3-2-1_56KLG_2022-10-14_final.stac-item
2022-10-24 09:41:26	ga_s2bm_ard_3-2-1_56KLG_2022-10-24_final.stac-item
2022-11-03 09:41:24	ga_s2bm_ard_3-2-1_56KLG_2022-11-03_final.stac-item
2022-11-13 09:41:26	ga_s2bm_ard_3-2-1_56KLG_2022-11-13_final.stac-item
2022-11-23 09:41:26	ga_s2bm_ard_3-2-1_56KLG_2022-11-23_final.stac-item
2022-12-03 09:41:25	ga_s2bm_ard_3-2-1_56KLG_2022-12-03_final.stac-item
2022-12-23 09:41:26	ga_s2bm_ard_3-2-1_56KLG_2022-12-23_final.stac-item
2023-03-13 09:41:31	ga_s2bm_ard_3-2-1_56KLG_2023-03-13_final.stac-item
2023-03-23 09:41:25	ga_s2bm_ard_3-2-1_56KLG_2023-03-23_final.stac-item
2023-04-02 09:41:30	ga_s2bm_ard_3-2-1_56KLG_2023-04-02_final.stac-item
2023-04-12 09:41:28	ga_s2bm_ard_3-2-1_56KLG_2023-04-12_final.stac-item
2023-04-22 09:41:29	ga_s2bm_ard_3-2-1_56KLG_2023-04-22_final.stac-item
2023-05-02 09:41:29	ga_s2bm_ard_3-2-1_56KLG_2023-05-02_final.stac-item
2023-05-12 09:41:29	ga_s2bm_ard_3-2-1_56KLG_2023-05-12_final.stac-item
2023-05-22 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-05-22_final.stac-item
2023-06-01 09:41:31	ga_s2bm_ard_3-2-1_56KLG_2023-06-01_final.stac-item
2023-06-11 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-06-11_final.stac-item
2023-06-21 09:41:31	ga_s2bm_ard_3-2-1_56KLG_2023-06-21_final.stac-item
2023-07-01 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-07-01_final.stac-item
2023-07-11 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-07-11_final.stac-item
2023-07-21 09:41:33	ga_s2bm_ard_3-2-1_56KLG_2023-07-21_final.stac-item
2023-07-31 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-07-31_final.stac-item
2023-08-10 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-08-10_final.stac-item
2023-08-20 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-08-20_final.stac-item
2023-08-30 09:41:31	ga_s2bm_ard_3-2-1_56KLG_2023-08-30_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years