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
2019-06-25 09:54:13	ga_s2bm_ard_3-2-1_55JDM_2019-06-25_final
2019-06-28 10:04:09	ga_s2bm_ard_3-2-1_55JDM_2019-06-28_final
2019-07-05 09:54:14	ga_s2bm_ard_3-2-1_55JDM_2019-07-05_final
2019-07-08 10:04:09	ga_s2bm_ard_3-2-1_55JDM_2019-07-08_final
2019-07-18 10:04:09	ga_s2bm_ard_3-2-1_55JDM_2019-07-18_final
2019-07-25 09:54:14	ga_s2bm_ard_3-2-1_55JDM_2019-07-25_final
2019-07-28 10:04:09	ga_s2bm_ard_3-2-1_55JDM_2019-07-28_final
2019-08-04 09:54:13	ga_s2bm_ard_3-2-1_55JDM_2019-08-04_final
2019-08-07 10:04:08	ga_s2bm_ard_3-2-1_55JDM_2019-08-07_final
2019-08-14 09:54:12	ga_s2bm_ard_3-2-1_55JDM_2019-08-14_final
2019-08-17 10:04:07	ga_s2bm_ard_3-2-1_55JDM_2019-08-17_final
2019-08-24 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2019-08-24_final
2019-08-27 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2019-08-27_final
2019-09-03 09:54:08	ga_s2bm_ard_3-2-1_55JDM_2019-09-03_final
2019-09-06 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2019-09-06_final
2019-09-13 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2019-09-13_final
2019-09-16 10:04:00	ga_s2bm_ard_3-2-1_55JDM_2019-09-16_final
2019-09-23 09:54:05	ga_s2bm_ard_3-2-1_55JDM_2019-09-23_final
2019-09-26 10:04:00	ga_s2bm_ard_3-2-1_55JDM_2019-09-26_final
2019-10-03 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2019-10-03_final
2019-10-06 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2019-10-06_final
2019-10-13 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2019-10-13_final
2019-10-16 10:04:02	ga_s2bm_ard_3-2-1_55JDM_2019-10-16_final
2019-10-23 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2019-10-23_final
2019-10-26 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2019-10-26_final
2019-11-02 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2019-11-02_final
2019-11-05 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2019-11-05_final
2019-11-12 09:54:04	ga_s2bm_ard_3-2-1_55JDM_2019-11-12_final
2019-11-15 10:03:59	ga_s2bm_ard_3-2-1_55JDM_2019-11-15_final
2019-11-22 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2019-11-22_final
2019-11-25 10:03:57	ga_s2bm_ard_3-2-1_55JDM_2019-11-25_final
2019-12-02 09:54:00	ga_s2bm_ard_3-2-1_55JDM_2019-12-02_final
2019-12-05 10:03:54	ga_s2bm_ard_3-2-1_55JDM_2019-12-05_final
2019-12-12 09:53:59	ga_s2bm_ard_3-2-1_55JDM_2019-12-12_final
2019-12-15 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2019-12-15_final
2019-12-22 09:54:00	ga_s2bm_ard_3-2-1_55JDM_2019-12-22_final
2019-12-25 10:03:56	ga_s2bm_ard_3-2-1_55JDM_2019-12-25_final
2020-01-01 09:54:00	ga_s2bm_ard_3-2-1_55JDM_2020-01-01_final
2020-01-04 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2020-01-04_final
2020-01-11 09:54:00	ga_s2bm_ard_3-2-1_55JDM_2020-01-11_final
2020-01-14 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2020-01-14_final
2020-01-21 09:53:59	ga_s2bm_ard_3-2-1_55JDM_2020-01-21_final
2020-01-24 10:03:54	ga_s2bm_ard_3-2-1_55JDM_2020-01-24_final
2020-01-31 09:53:58	ga_s2bm_ard_3-2-1_55JDM_2020-01-31_final
2020-02-03 10:03:54	ga_s2bm_ard_3-2-1_55JDM_2020-02-03_final
2020-02-10 09:54:00	ga_s2bm_ard_3-2-1_55JDM_2020-02-10_final
2021-12-31 09:54:01	ga_s2bm_ard_3-2-1_55JDM_2021-12-31_final
2022-01-03 10:03:56	ga_s2bm_ard_3-2-1_55JDM_2022-01-03_final
2022-01-10 09:54:01	ga_s2bm_ard_3-2-1_55JDM_2022-01-10_final
2022-01-13 10:03:56	ga_s2bm_ard_3-2-1_55JDM_2022-01-13_final
2022-01-20 09:54:00	ga_s2bm_ard_3-2-1_55JDM_2022-01-20_final
2022-01-23 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2022-01-23_final
2022-01-30 09:53:59	ga_s2bm_ard_3-2-1_55JDM_2022-01-30_final
2022-02-02 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2022-02-02_final
2022-02-09 09:53:59	ga_s2bm_ard_3-2-1_55JDM_2022-02-09_final
2022-02-12 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2022-02-12_final
2022-02-19 09:53:59	ga_s2bm_ard_3-2-1_55JDM_2022-02-19_final
2022-02-22 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2022-02-22_final
2022-03-01 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2022-03-01_final
2022-03-04 10:03:57	ga_s2bm_ard_3-2-1_55JDM_2022-03-04_final
2022-03-11 09:54:03	ga_s2bm_ard_3-2-1_55JDM_2022-03-11_final
2022-03-14 10:03:58	ga_s2bm_ard_3-2-1_55JDM_2022-03-14_final
2022-03-21 09:54:03	ga_s2bm_ard_3-2-1_55JDM_2022-03-21_final
2022-03-24 10:03:58	ga_s2bm_ard_3-2-1_55JDM_2022-03-24_final
2022-03-31 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2022-03-31_final
2022-04-03 10:03:57	ga_s2bm_ard_3-2-1_55JDM_2022-04-03_final
2022-04-10 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2022-04-10_final
2022-04-13 10:03:57	ga_s2bm_ard_3-2-1_55JDM_2022-04-13_final
2022-04-20 09:54:01	ga_s2bm_ard_3-2-1_55JDM_2022-04-20_final
2022-04-23 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2022-04-23_final
2022-05-03 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2022-05-03_final
2022-05-10 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2022-05-10_final
2022-05-13 10:03:59	ga_s2bm_ard_3-2-1_55JDM_2022-05-13_final
2022-05-20 09:54:05	ga_s2bm_ard_3-2-1_55JDM_2022-05-20_final
2022-05-23 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2022-05-23_final
2022-05-30 09:54:05	ga_s2bm_ard_3-2-1_55JDM_2022-05-30_final
2022-06-02 10:04:00	ga_s2bm_ard_3-2-1_55JDM_2022-06-02_final
2022-06-09 09:54:07	ga_s2bm_ard_3-2-1_55JDM_2022-06-09_final
2022-06-12 10:04:03	ga_s2bm_ard_3-2-1_55JDM_2022-06-12_final
2022-06-19 09:54:09	ga_s2bm_ard_3-2-1_55JDM_2022-06-19_final
2022-06-22 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2022-06-22_final
2022-06-29 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2022-06-29_final
2022-07-02 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2022-07-02_final
2022-07-09 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2022-07-09_final
2022-07-12 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2022-07-12_final
2022-07-19 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2022-07-19_final
2022-07-22 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2022-07-22_final
2022-07-29 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2022-07-29_final
2022-08-01 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2022-08-01_final
2022-08-08 09:54:09	ga_s2bm_ard_3-2-1_55JDM_2022-08-08_final
2022-08-11 10:04:04	ga_s2bm_ard_3-2-1_55JDM_2022-08-11_final
2022-08-18 09:54:07	ga_s2bm_ard_3-2-1_55JDM_2022-08-18_final
2022-08-21 10:04:02	ga_s2bm_ard_3-2-1_55JDM_2022-08-21_final
2022-08-28 09:54:06	ga_s2bm_ard_3-2-1_55JDM_2022-08-28_final
2022-08-31 10:04:01	ga_s2bm_ard_3-2-1_55JDM_2022-08-31_final
2023-10-05 10:03:12	ga_s2bm_ard_3-2-1_55KDQ_2023-10-05_final.stac-item
2023-10-09 09:46:44	ga_s2bm_ard_3-2-1_55HDA_2023-10-09_final.stac-item
2023-11-04 10:03:17	ga_s2bm_ard_3-2-1_55KDQ_2023-11-04_final.stac-item
2023-11-08 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2023-11-08_final.stac-item
2024-02-16 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2024-02-16_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