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
2020-05-15 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2020-05-15_final
2020-05-25 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2020-05-25_final
2020-06-04 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2020-06-04_final
2020-06-14 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2020-06-14_final
2020-06-24 10:45:14	ga_s2bm_ard_3-2-1_53JLJ_2020-06-24_final
2020-07-04 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2020-07-04_final
2020-07-14 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2020-07-14_final
2020-07-24 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2020-07-24_final
2020-08-03 10:45:14	ga_s2bm_ard_3-2-1_53JLJ_2020-08-03_final
2020-08-13 10:45:15	ga_s2bm_ard_3-2-1_53JLJ_2020-08-13_final
2020-08-23 10:45:15	ga_s2bm_ard_3-2-1_53JLJ_2020-08-23_final
2020-09-02 10:45:14	ga_s2bm_ard_3-2-1_53JLJ_2020-09-02_final
2020-09-12 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2020-09-12_final
2020-09-22 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2020-09-22_final
2020-10-02 10:45:14	ga_s2bm_ard_3-2-1_53JLJ_2020-10-02_final
2020-10-12 10:45:15	ga_s2bm_ard_3-2-1_53JLJ_2020-10-12_final
2020-10-22 10:45:15	ga_s2bm_ard_3-2-1_53JLJ_2020-10-22_final
2020-11-01 10:45:14	ga_s2bm_ard_3-2-1_53JLJ_2020-11-01_final
2020-11-11 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2020-11-11_final
2020-11-21 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2020-11-21_final
2020-12-01 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2020-12-01_final
2020-12-11 10:45:08	ga_s2bm_ard_3-2-1_53JLJ_2020-12-11_final
2020-12-21 10:45:07	ga_s2bm_ard_3-2-1_53JLJ_2020-12-21_final
2020-12-31 10:45:09	ga_s2bm_ard_3-2-1_53JLJ_2020-12-31_final
2021-01-10 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2021-01-10_final
2021-04-20 10:45:06	ga_s2bm_ard_3-2-1_53JLJ_2021-04-20_final
2021-05-10 10:45:09	ga_s2bm_ard_3-2-1_53JLJ_2021-05-10_final
2021-05-30 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2021-05-30_final
2021-06-09 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2021-06-09_final
2021-06-19 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2021-06-19_final
2021-07-09 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2021-07-09_final
2021-07-19 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2021-07-19_final
2021-07-29 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2021-07-29_final
2021-08-08 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2021-08-08_final
2021-08-18 10:45:11	ga_s2bm_ard_3-2-1_53JLJ_2021-08-18_final
2021-09-07 10:45:08	ga_s2bm_ard_3-2-1_53JLJ_2021-09-07_final
2021-09-27 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2021-09-27_final
2021-10-07 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2021-10-07_final
2021-10-17 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2021-10-17_final
2021-10-27 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2021-10-27_final
2021-11-06 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2021-11-06_final
2022-01-25 10:44:35	ga_s2bm_ard_3-2-1_53JLL_2022-01-25_final
2023-08-15 10:37:09	ga_s2bm_ard_3-2-1_53HMA_2023-08-15_nrt.stac-item
2023-08-15 10:37:11	ga_s2bm_ard_3-2-1_53HLA_2023-08-15_nrt.stac-item
2023-08-25 10:37:08	ga_s2bm_ard_3-2-1_53HMA_2023-08-25_nrt.stac-item
2023-08-25 10:37:10	ga_s2bm_ard_3-2-1_53HLA_2023-08-25_nrt.stac-item
2023-09-04 10:37:08	ga_s2bm_ard_3-2-1_53HMA_2023-09-04_nrt.stac-item
2023-09-04 10:37:10	ga_s2bm_ard_3-2-1_53HLA_2023-09-04_nrt.stac-item
2023-09-14 10:37:07	ga_s2bm_ard_3-2-1_53HMA_2023-09-14_nrt.stac-item
2023-09-14 10:37:09	ga_s2bm_ard_3-2-1_53HLA_2023-09-14_nrt.stac-item
2023-09-24 10:37:07	ga_s2bm_ard_3-2-1_53HMA_2023-09-24_nrt.stac-item
2023-09-24 10:37:09	ga_s2bm_ard_3-2-1_53HLA_2023-09-24_nrt.stac-item
2023-10-04 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2023-10-04_nrt.stac-item
2023-10-04 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2023-10-04_nrt.stac-item
2023-10-14 10:37:06	ga_s2bm_ard_3-2-1_53HMA_2023-10-14_nrt.stac-item
2023-10-14 10:37:08	ga_s2bm_ard_3-2-1_53HLA_2023-10-14_nrt.stac-item
2023-10-24 10:37:05	ga_s2bm_ard_3-2-1_53HMA_2023-10-24_nrt.stac-item
2023-10-24 10:37:07	ga_s2bm_ard_3-2-1_53HLA_2023-10-24_nrt.stac-item
2023-11-03 10:37:06	ga_s2bm_ard_3-2-1_53HMA_2023-11-03_nrt.stac-item
2023-11-03 10:37:08	ga_s2bm_ard_3-2-1_53HLA_2023-11-03_nrt.stac-item
2023-11-13 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2023-11-13_nrt.stac-item
2023-11-13 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2023-11-13_nrt.stac-item
2023-11-23 10:36:59	ga_s2bm_ard_3-2-1_53HMA_2023-11-23_nrt.stac-item
2023-11-23 10:37:01	ga_s2bm_ard_3-2-1_53HLA_2023-11-23_nrt.stac-item
2023-12-03 10:37:01	ga_s2bm_ard_3-2-1_53HMA_2023-12-03_nrt.stac-item
2023-12-03 10:37:03	ga_s2bm_ard_3-2-1_53HLA_2023-12-03_nrt.stac-item
2023-12-13 10:37:01	ga_s2bm_ard_3-2-1_53HMA_2023-12-13_nrt.stac-item
2023-12-13 10:37:03	ga_s2bm_ard_3-2-1_53HLA_2023-12-13_nrt.stac-item
2023-12-23 10:37:05	ga_s2bm_ard_3-2-1_53HMA_2023-12-23_nrt.stac-item
2023-12-23 10:37:07	ga_s2bm_ard_3-2-1_53HLA_2023-12-23_nrt.stac-item
2024-01-02 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-01-02_nrt.stac-item
2024-01-02 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-01-02_nrt.stac-item
2024-01-12 10:37:02	ga_s2bm_ard_3-2-1_53HMA_2024-01-12_nrt.stac-item
2024-01-12 10:37:04	ga_s2bm_ard_3-2-1_53HLA_2024-01-12_nrt.stac-item
2024-01-22 10:37:03	ga_s2bm_ard_3-2-1_53HMA_2024-01-22_nrt.stac-item
2024-01-22 10:37:05	ga_s2bm_ard_3-2-1_53HLA_2024-01-22_nrt.stac-item
2024-01-25 10:44:32	ga_s2bm_ard_3-2-1_53JLL_2024-01-25_final.stac-item
2024-02-01 10:37:01	ga_s2bm_ard_3-2-1_53HMA_2024-02-01_nrt.stac-item
2024-02-01 10:37:03	ga_s2bm_ard_3-2-1_53HLA_2024-02-01_nrt.stac-item
2024-02-11 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-02-11_nrt.stac-item
2024-02-11 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-02-11_nrt.stac-item
2024-02-21 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-02-21_nrt.stac-item
2024-02-21 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-02-21_nrt.stac-item
2024-03-02 10:37:01	ga_s2bm_ard_3-2-1_53HMA_2024-03-02_nrt.stac-item
2024-03-02 10:37:03	ga_s2bm_ard_3-2-1_53HLA_2024-03-02_nrt.stac-item
2024-03-12 10:37:00	ga_s2bm_ard_3-2-1_53HMA_2024-03-12_nrt.stac-item
2024-03-12 10:37:02	ga_s2bm_ard_3-2-1_53HLA_2024-03-12_nrt.stac-item
2024-03-22 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-03-22_nrt.stac-item
2024-03-22 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-03-22_nrt.stac-item
2024-04-01 10:37:03	ga_s2bm_ard_3-2-1_53HMA_2024-04-01_nrt.stac-item
2024-04-01 10:37:05	ga_s2bm_ard_3-2-1_53HLA_2024-04-01_nrt.stac-item
2024-04-11 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-04-11_nrt.stac-item
2024-04-11 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-04-11_nrt.stac-item
2024-04-21 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-04-21_nrt.stac-item
2024-04-21 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-04-21_nrt.stac-item
2024-05-01 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-05-01_nrt.stac-item
2024-05-01 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-05-01_nrt.stac-item
2024-05-11 10:37:04	ga_s2bm_ard_3-2-1_53HMA_2024-05-11_nrt.stac-item
2024-05-11 10:37:06	ga_s2bm_ard_3-2-1_53HLA_2024-05-11_nrt.stac-item
2024-05-21 10:37:03	ga_s2bm_ard_3-2-1_53HMA_2024-05-21_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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