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
2022-12-19 10:00:08	ga_s2bm_ard_3-2-1_55LDH_2022-12-19_nrt.stac-item
2022-12-22 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2022-12-22_nrt.stac-item
2022-12-29 10:00:08	ga_s2bm_ard_3-2-1_55LDH_2022-12-29_nrt.stac-item
2023-01-01 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2023-01-01_nrt.stac-item
2023-01-08 10:00:06	ga_s2bm_ard_3-2-1_55LDH_2023-01-08_nrt.stac-item
2023-01-11 10:09:59	ga_s2bm_ard_3-2-1_55LDH_2023-01-11_nrt.stac-item
2023-01-18 10:00:06	ga_s2bm_ard_3-2-1_55LDH_2023-01-18_nrt.stac-item
2023-01-21 10:10:01	ga_s2bm_ard_3-2-1_55LDH_2023-01-21_nrt.stac-item
2023-01-28 10:00:07	ga_s2bm_ard_3-2-1_55LDH_2023-01-28_nrt.stac-item
2023-01-31 10:10:00	ga_s2bm_ard_3-2-1_55LDH_2023-01-31_nrt.stac-item
2023-02-07 10:00:07	ga_s2bm_ard_3-2-1_55LDH_2023-02-07_nrt.stac-item
2023-02-10 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2023-02-10_nrt.stac-item
2023-02-17 10:00:07	ga_s2bm_ard_3-2-1_55LDH_2023-02-17_nrt.stac-item
2023-02-20 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2023-02-20_nrt.stac-item
2023-02-27 10:00:10	ga_s2bm_ard_3-2-1_55LDH_2023-02-27_nrt.stac-item
2023-03-02 10:10:04	ga_s2bm_ard_3-2-1_55LDH_2023-03-02_nrt.stac-item
2023-03-09 10:00:13	ga_s2bm_ard_3-2-1_55LDH_2023-03-09_nrt.stac-item
2023-03-12 10:10:07	ga_s2bm_ard_3-2-1_55LDH_2023-03-12_nrt.stac-item
2023-03-19 10:00:12	ga_s2bm_ard_3-2-1_55LDH_2023-03-19_nrt.stac-item
2023-03-22 10:10:06	ga_s2bm_ard_3-2-1_55LDH_2023-03-22_nrt.stac-item
2023-03-29 10:00:12	ga_s2bm_ard_3-2-1_55LDH_2023-03-29_nrt.stac-item
2023-04-01 10:10:07	ga_s2bm_ard_3-2-1_55LDH_2023-04-01_nrt.stac-item
2023-04-08 10:00:11	ga_s2bm_ard_3-2-1_55LDH_2023-04-08_nrt.stac-item
2023-04-11 10:10:05	ga_s2bm_ard_3-2-1_55LDH_2023-04-11_nrt.stac-item
2023-04-18 10:00:11	ga_s2bm_ard_3-2-1_55LDH_2023-04-18_nrt.stac-item
2023-04-21 10:10:05	ga_s2bm_ard_3-2-1_55LDH_2023-04-21_nrt.stac-item
2023-04-28 10:00:11	ga_s2bm_ard_3-2-1_55LDH_2023-04-28_nrt.stac-item
2023-05-01 10:10:05	ga_s2bm_ard_3-2-1_55LDH_2023-05-01_nrt.stac-item
2023-05-08 10:00:12	ga_s2bm_ard_3-2-1_55LDH_2023-05-08_nrt.stac-item
2023-05-11 10:10:06	ga_s2bm_ard_3-2-1_55LDH_2023-05-11_nrt.stac-item
2023-05-18 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-05-18_nrt.stac-item
2023-05-21 10:10:08	ga_s2bm_ard_3-2-1_55LDH_2023-05-21_nrt.stac-item
2023-05-28 10:00:13	ga_s2bm_ard_3-2-1_55LDH_2023-05-28_nrt.stac-item
2023-05-31 10:10:07	ga_s2bm_ard_3-2-1_55LDH_2023-05-31_nrt.stac-item
2023-06-07 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-06-07_nrt.stac-item
2023-06-10 10:10:08	ga_s2bm_ard_3-2-1_55LDH_2023-06-10_nrt.stac-item
2023-06-17 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-06-17_nrt.stac-item
2023-06-20 10:10:08	ga_s2bm_ard_3-2-1_55LDH_2023-06-20_nrt.stac-item
2023-06-27 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-06-27_nrt.stac-item
2023-06-30 10:10:08	ga_s2bm_ard_3-2-1_55LDH_2023-06-30_nrt.stac-item
2023-07-07 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-07-07_nrt.stac-item
2023-07-10 10:10:08	ga_s2bm_ard_3-2-1_55LDH_2023-07-10_nrt.stac-item
2023-07-17 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-07-17_nrt.stac-item
2023-07-20 10:10:09	ga_s2bm_ard_3-2-1_55LDH_2023-07-20_nrt.stac-item
2023-07-27 10:00:15	ga_s2bm_ard_3-2-1_55LDH_2023-07-27_nrt.stac-item
2023-07-30 10:10:09	ga_s2bm_ard_3-2-1_55LDH_2023-07-30_nrt.stac-item
2023-08-06 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-08-06_nrt.stac-item
2023-08-09 10:10:09	ga_s2bm_ard_3-2-1_55LDH_2023-08-09_nrt.stac-item
2023-08-16 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-08-16_nrt.stac-item
2023-08-19 10:10:08	ga_s2bm_ard_3-2-1_55LDH_2023-08-19_nrt.stac-item
2023-08-26 10:00:13	ga_s2bm_ard_3-2-1_55LDH_2023-08-26_nrt.stac-item
2023-08-29 10:10:08	ga_s2bm_ard_3-2-1_55LDH_2023-08-29_nrt.stac-item
2023-09-05 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-09-05_nrt.stac-item
2023-09-08 10:10:07	ga_s2bm_ard_3-2-1_55LDH_2023-09-08_nrt.stac-item
2023-09-15 10:00:12	ga_s2bm_ard_3-2-1_55LDH_2023-09-15_nrt.stac-item
2023-09-18 10:10:07	ga_s2bm_ard_3-2-1_55LDH_2023-09-18_nrt.stac-item
2023-09-25 10:00:12	ga_s2bm_ard_3-2-1_55LDH_2023-09-25_nrt.stac-item
2023-09-28 10:10:06	ga_s2bm_ard_3-2-1_55LDH_2023-09-28_nrt.stac-item
2023-10-05 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2023-10-05_nrt.stac-item
2023-10-08 10:10:04	ga_s2bm_ard_3-2-1_55LDH_2023-10-08_nrt.stac-item
2023-10-15 10:00:11	ga_s2bm_ard_3-2-1_55LDH_2023-10-15_nrt.stac-item
2023-10-18 10:10:05	ga_s2bm_ard_3-2-1_55LDH_2023-10-18_nrt.stac-item
2023-10-25 10:00:10	ga_s2bm_ard_3-2-1_55LDH_2023-10-25_nrt.stac-item
2023-10-28 10:10:05	ga_s2bm_ard_3-2-1_55LDH_2023-10-28_nrt.stac-item
2023-11-04 10:00:12	ga_s2bm_ard_3-2-1_55LDH_2023-11-04_nrt.stac-item
2023-11-07 10:10:06	ga_s2bm_ard_3-2-1_55LDH_2023-11-07_nrt.stac-item
2023-11-14 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2023-11-14_nrt.stac-item
2023-11-17 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2023-11-17_nrt.stac-item
2023-11-24 10:00:04	ga_s2bm_ard_3-2-1_55LDH_2023-11-24_nrt.stac-item
2023-11-27 10:09:59	ga_s2bm_ard_3-2-1_55LDH_2023-11-27_nrt.stac-item
2023-12-04 10:00:06	ga_s2bm_ard_3-2-1_55LDH_2023-12-04_nrt.stac-item
2023-12-07 10:10:00	ga_s2bm_ard_3-2-1_55LDH_2023-12-07_nrt.stac-item
2023-12-14 10:00:07	ga_s2bm_ard_3-2-1_55LDH_2023-12-14_nrt.stac-item
2023-12-17 10:10:03	ga_s2bm_ard_3-2-1_55LDH_2023-12-17_nrt.stac-item
2023-12-24 10:00:10	ga_s2bm_ard_3-2-1_55LDH_2023-12-24_nrt.stac-item
2023-12-27 10:10:05	ga_s2bm_ard_3-2-1_55LDH_2023-12-27_nrt.stac-item
2024-01-03 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2024-01-03_nrt.stac-item
2024-01-06 10:10:03	ga_s2bm_ard_3-2-1_55LDH_2024-01-06_nrt.stac-item
2024-01-13 10:00:07	ga_s2bm_ard_3-2-1_55LDH_2024-01-13_nrt.stac-item
2024-01-16 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2024-01-16_nrt.stac-item
2024-01-23 10:00:08	ga_s2bm_ard_3-2-1_55LDH_2024-01-23_nrt.stac-item
2024-01-26 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2024-01-26_nrt.stac-item
2024-02-02 10:00:05	ga_s2bm_ard_3-2-1_55LDH_2024-02-02_nrt.stac-item
2024-02-02 10:00:10	ga_s2bm_ard_3-2-1_55LDH_2024-02-02_nrt.stac-item
2024-02-05 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2024-02-05_nrt.stac-item
2024-02-12 10:00:10	ga_s2bm_ard_3-2-1_55LDH_2024-02-12_nrt.stac-item
2024-02-15 10:10:04	ga_s2bm_ard_3-2-1_55LDH_2024-02-15_nrt.stac-item
2024-02-22 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2024-02-22_nrt.stac-item
2024-02-25 10:10:03	ga_s2bm_ard_3-2-1_55LDH_2024-02-25_nrt.stac-item
2024-03-03 10:00:06	ga_s2bm_ard_3-2-1_55LDH_2024-03-03_nrt.stac-item
2024-03-06 10:09:58	ga_s2bm_ard_3-2-1_55LDH_2024-03-06_nrt.stac-item
2024-03-13 10:00:06	ga_s2bm_ard_3-2-1_55LDH_2024-03-13_nrt.stac-item
2024-03-16 10:10:02	ga_s2bm_ard_3-2-1_55LDH_2024-03-16_nrt.stac-item
2024-03-23 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2024-03-23_nrt.stac-item
2024-03-26 10:10:04	ga_s2bm_ard_3-2-1_55LDH_2024-03-26_nrt.stac-item
2024-04-02 10:00:08	ga_s2bm_ard_3-2-1_55LDH_2024-04-02_nrt.stac-item
2024-04-05 10:10:01	ga_s2bm_ard_3-2-1_55LDH_2024-04-05_nrt.stac-item
2024-04-12 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2024-04-12_nrt.stac-item
2024-04-15 10:10:04	ga_s2bm_ard_3-2-1_55LDH_2024-04-15_nrt.stac-item
2024-04-22 10:00:09	ga_s2bm_ard_3-2-1_55LDH_2024-04-22_nrt.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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