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
2020-11-24 10:53:43	ga_s2bm_ard_3-2-1_52KHV_2020-11-24_final
2020-12-04 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2020-12-04_final
2020-12-14 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2020-12-14_final
2020-12-24 10:53:40	ga_s2bm_ard_3-2-1_52KHV_2020-12-24_final
2021-01-03 10:53:41	ga_s2bm_ard_3-2-1_52KHV_2021-01-03_final
2021-01-13 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2021-01-13_final
2021-01-23 10:53:43	ga_s2bm_ard_3-2-1_52KHV_2021-01-23_final
2021-02-02 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2021-02-02_final
2021-02-02 10:53:51	ga_s2bm_ard_3-2-1_52KHV_2021-02-02_final
2021-02-12 10:53:41	ga_s2bm_ard_3-2-1_52KHV_2021-02-12_final
2021-02-22 10:53:41	ga_s2bm_ard_3-2-1_52KHV_2021-02-22_final
2021-03-04 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2021-03-04_final
2021-03-14 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2021-03-14_final
2021-03-24 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2021-03-24_final
2021-04-03 10:53:41	ga_s2bm_ard_3-2-1_52KHV_2021-04-03_final
2021-04-13 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2021-04-13_final
2021-04-23 10:53:37	ga_s2bm_ard_3-2-1_52KHV_2021-04-23_final
2021-05-03 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2021-05-03_final
2021-05-13 10:53:41	ga_s2bm_ard_3-2-1_52KHV_2021-05-13_final
2021-05-23 10:53:43	ga_s2bm_ard_3-2-1_52KHV_2021-05-23_final
2021-06-02 10:53:44	ga_s2bm_ard_3-2-1_52KHV_2021-06-02_final
2021-06-12 10:53:44	ga_s2bm_ard_3-2-1_52KHV_2021-06-12_final
2021-06-22 10:53:43	ga_s2bm_ard_3-2-1_52KHV_2021-06-22_final
2021-07-02 10:53:44	ga_s2bm_ard_3-2-1_52KHV_2021-07-02_final
2021-07-12 10:53:45	ga_s2bm_ard_3-2-1_52KHV_2021-07-12_final
2022-01-11 11:03:05	ga_s2bm_ard_3-2-1_52KHB_2022-01-11_final
2022-01-21 11:03:04	ga_s2bm_ard_3-2-1_52KHB_2022-01-21_final
2022-01-28 10:53:06	ga_s2bm_ard_3-2-1_52KHB_2022-01-28_final
2022-01-28 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-01-28_final
2022-02-07 10:53:08	ga_s2bm_ard_3-2-1_52KHB_2022-02-07_final
2022-02-17 10:53:07	ga_s2bm_ard_3-2-1_52KHB_2022-02-17_final
2022-02-20 11:03:03	ga_s2bm_ard_3-2-1_52KHB_2022-02-20_final
2022-02-27 10:53:10	ga_s2bm_ard_3-2-1_52KHB_2022-02-27_final
2022-03-09 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2022-03-09_final
2022-03-19 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2022-03-19_final
2022-04-01 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2022-04-01_final
2022-04-08 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2022-04-08_final
2022-04-11 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2022-04-11_final
2022-04-18 10:53:10	ga_s2bm_ard_3-2-1_52KHB_2022-04-18_final
2022-04-21 11:03:04	ga_s2bm_ard_3-2-1_52KHB_2022-04-21_final
2022-04-28 10:53:07	ga_s2bm_ard_3-2-1_52KHB_2022-04-28_final
2022-05-01 11:03:03	ga_s2bm_ard_3-2-1_52KHB_2022-05-01_final
2022-05-08 10:53:10	ga_s2bm_ard_3-2-1_52KHB_2022-05-08_final
2022-05-18 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-05-18_final
2022-05-28 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2022-05-28_final
2022-06-07 10:53:15	ga_s2bm_ard_3-2-1_52KHB_2022-06-07_final
2022-06-17 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2022-06-17_final
2022-06-27 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-06-27_final
2022-07-07 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-07-07_final
2022-07-17 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-07-17_final
2022-07-27 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2022-07-27_final
2022-08-06 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2022-08-06_final
2022-08-16 10:53:17	ga_s2bm_ard_3-2-1_52KHB_2022-08-16_final
2022-08-19 11:03:11	ga_s2bm_ard_3-2-1_52KHB_2022-08-19_final
2022-08-26 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2022-08-26_final
2022-08-29 11:03:10	ga_s2bm_ard_3-2-1_52KHB_2022-08-29_final
2022-09-05 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2022-09-05_final.stac-item
2022-09-08 11:03:11	ga_s2bm_ard_3-2-1_52KHB_2022-09-08_final.stac-item
2022-09-15 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2022-09-15_final.stac-item
2022-09-18 11:03:11	ga_s2bm_ard_3-2-1_52KHB_2022-09-18_final.stac-item
2022-09-25 10:53:15	ga_s2bm_ard_3-2-1_52KHB_2022-09-25_final.stac-item
2022-09-28 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2022-09-28_final.stac-item
2022-10-05 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2022-10-05_final.stac-item
2022-10-08 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2022-10-08_final.stac-item
2022-10-15 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-10-15_final.stac-item
2022-10-18 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2022-10-18_final.stac-item
2022-10-25 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-10-25_final.stac-item
2022-10-28 11:03:08	ga_s2bm_ard_3-2-1_52KHB_2022-10-28_final.stac-item
2022-11-04 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2022-11-04_final.stac-item
2022-11-07 11:03:08	ga_s2bm_ard_3-2-1_52KHB_2022-11-07_final.stac-item
2022-11-14 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-11-14_final.stac-item
2022-11-17 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2022-11-17_final.stac-item
2022-11-24 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-11-24_final.stac-item
2022-11-27 11:03:08	ga_s2bm_ard_3-2-1_52KHB_2022-11-27_final.stac-item
2022-12-04 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2022-12-04_final.stac-item
2022-12-07 11:03:03	ga_s2bm_ard_3-2-1_52KHB_2022-12-07_final.stac-item
2022-12-07 11:03:10	ga_s2bm_ard_3-2-1_52KHB_2022-12-07_final.stac-item
2022-12-14 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2022-12-14_final.stac-item
2022-12-17 11:03:08	ga_s2bm_ard_3-2-1_52KHB_2022-12-17_final.stac-item
2022-12-24 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-12-24_final.stac-item
2022-12-27 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2022-12-27_final.stac-item
2023-01-03 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2023-01-03_final.stac-item
2023-01-06 11:03:01	ga_s2bm_ard_3-2-1_52KHB_2023-01-06_final.stac-item
2023-01-06 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-06_final.stac-item
2023-01-13 10:53:09	ga_s2bm_ard_3-2-1_52KHB_2023-01-13_final.stac-item
2023-01-16 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2023-01-16_final.stac-item
2023-01-23 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2023-01-23_final.stac-item
2023-01-26 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-26_final.stac-item
2023-02-02 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2023-02-02_final.stac-item
2023-02-05 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-02-05_final.stac-item
2023-02-12 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2023-02-12_final.stac-item
2023-02-15 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-02-15_final.stac-item
2023-02-15 11:03:14	ga_s2bm_ard_3-2-1_52KHB_2023-02-15_final.stac-item
2023-02-22 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2023-02-22_final.stac-item
2023-02-25 11:03:10	ga_s2bm_ard_3-2-1_52KHB_2023-02-25_final.stac-item
2023-03-04 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2023-03-04_final.stac-item
2023-03-07 11:03:12	ga_s2bm_ard_3-2-1_52KHB_2023-03-07_final.stac-item
2023-03-14 10:53:18	ga_s2bm_ard_3-2-1_52KHB_2023-03-14_final.stac-item
2023-03-17 11:03:13	ga_s2bm_ard_3-2-1_52KHB_2023-03-17_final.stac-item
2023-03-24 10:53:16	ga_s2bm_ard_3-2-1_52KHB_2023-03-24_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

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