Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-12-30 10:52:50	ga_s2bm_ard_3-2-1_53KMT_2019-12-30_final.stac-item
2020-01-06 10:42:51	ga_s2bm_ard_3-2-1_53KMT_2020-01-06_final.stac-item
2020-01-19 10:52:46	ga_s2bm_ard_3-2-1_53KMT_2020-01-19_final.stac-item
2020-03-16 10:42:55	ga_s2bm_ard_3-2-1_53KMT_2020-03-16_final.stac-item
2020-03-29 10:52:50	ga_s2bm_ard_3-2-1_53KMT_2020-03-29_final.stac-item
2020-04-08 10:52:49	ga_s2bm_ard_3-2-1_53KMT_2020-04-08_final.stac-item
2020-05-25 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2020-05-25_final.stac-item
2020-05-28 10:52:53	ga_s2bm_ard_3-2-1_53KMT_2020-05-28_final.stac-item
2020-06-24 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2020-06-24_final.stac-item
2020-06-27 10:52:55	ga_s2bm_ard_3-2-1_53KMT_2020-06-27_final.stac-item
2020-07-27 10:52:55	ga_s2bm_ard_3-2-1_53KMT_2020-07-27_final.stac-item
2020-08-03 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2020-08-03_final.stac-item
2020-08-06 10:52:55	ga_s2bm_ard_3-2-1_53KMT_2020-08-06_final.stac-item
2020-08-13 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2020-08-13_final.stac-item
2020-08-16 10:52:56	ga_s2bm_ard_3-2-1_53KMT_2020-08-16_final.stac-item
2020-08-23 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2020-08-23_final.stac-item
2020-08-26 10:52:56	ga_s2bm_ard_3-2-1_53KMT_2020-08-26_final.stac-item
2020-09-02 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2020-09-02_final.stac-item
2020-09-05 10:52:55	ga_s2bm_ard_3-2-1_53KMT_2020-09-05_final.stac-item
2020-09-12 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2020-09-12_final.stac-item
2020-09-15 10:52:54	ga_s2bm_ard_3-2-1_53KMT_2020-09-15_final.stac-item
2020-09-22 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2020-09-22_final.stac-item
2020-09-25 10:52:55	ga_s2bm_ard_3-2-1_53KMT_2020-09-25_final.stac-item
2020-10-02 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2020-10-02_final.stac-item
2020-10-05 10:52:56	ga_s2bm_ard_3-2-1_53KMT_2020-10-05_final.stac-item
2020-10-12 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2020-10-12_final.stac-item
2020-10-12 10:43:02	ga_s2bm_ard_3-2-1_53KMT_2020-10-12_final.stac-item
2020-10-15 10:52:56	ga_s2bm_ard_3-2-1_53KMT_2020-10-15_final.stac-item
2020-10-22 10:42:55	ga_s2bm_ard_3-2-1_53KMT_2020-10-22_final.stac-item
2020-10-22 10:43:02	ga_s2bm_ard_3-2-1_53KMT_2020-10-22_final.stac-item
2020-10-25 10:52:55	ga_s2bm_ard_3-2-1_53KMT_2020-10-25_final.stac-item
2020-11-01 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2020-11-01_final.stac-item
2020-11-04 10:52:54	ga_s2bm_ard_3-2-1_53KMT_2020-11-04_final.stac-item
2020-11-11 10:42:58	ga_s2bm_ard_3-2-1_53KMT_2020-11-11_final.stac-item
2020-11-14 10:52:53	ga_s2bm_ard_3-2-1_53KMT_2020-11-14_final.stac-item
2020-11-21 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2020-11-21_final.stac-item
2020-11-24 10:52:52	ga_s2bm_ard_3-2-1_53KMT_2020-11-24_final.stac-item
2020-12-01 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2020-12-01_final.stac-item
2020-12-04 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2020-12-04_final.stac-item
2020-12-11 10:42:54	ga_s2bm_ard_3-2-1_53KMT_2020-12-11_final.stac-item
2020-12-14 10:52:49	ga_s2bm_ard_3-2-1_53KMT_2020-12-14_final.stac-item
2020-12-21 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2020-12-21_final.stac-item
2020-12-24 10:52:49	ga_s2bm_ard_3-2-1_53KMT_2020-12-24_final.stac-item
2020-12-31 10:42:55	ga_s2bm_ard_3-2-1_53KMT_2020-12-31_final.stac-item
2021-01-03 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2021-01-03_final.stac-item
2021-01-10 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2021-01-10_final.stac-item
2021-01-13 10:52:52	ga_s2bm_ard_3-2-1_53KMT_2021-01-13_final.stac-item
2021-01-20 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2021-01-20_final.stac-item
2021-01-23 10:52:52	ga_s2bm_ard_3-2-1_53KMT_2021-01-23_final.stac-item
2021-01-30 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2021-01-30_final.stac-item
2021-02-02 10:52:52	ga_s2bm_ard_3-2-1_53KMT_2021-02-02_final.stac-item
2021-02-09 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2021-02-09_final.stac-item
2021-02-12 10:52:47	ga_s2bm_ard_3-2-1_53KMT_2021-02-12_final.stac-item
2021-02-12 10:52:53	ga_s2bm_ard_3-2-1_53KMT_2021-02-12_final.stac-item
2021-02-19 10:42:49	ga_s2bm_ard_3-2-1_53KMT_2021-02-19_final.stac-item
2021-02-19 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2021-02-19_final.stac-item
2021-02-22 10:52:50	ga_s2bm_ard_3-2-1_53KMT_2021-02-22_final.stac-item
2021-03-01 10:42:51	ga_s2bm_ard_3-2-1_53KMT_2021-03-01_final.stac-item
2021-03-01 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2021-03-01_final.stac-item
2021-03-04 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2021-03-04_final.stac-item
2021-03-11 10:42:51	ga_s2bm_ard_3-2-1_53KMT_2021-03-11_final.stac-item
2021-03-11 10:42:58	ga_s2bm_ard_3-2-1_53KMT_2021-03-11_final.stac-item
2021-03-14 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2021-03-14_final.stac-item
2021-03-21 10:42:51	ga_s2bm_ard_3-2-1_53KMT_2021-03-21_final.stac-item
2021-03-21 10:42:58	ga_s2bm_ard_3-2-1_53KMT_2021-03-21_final.stac-item
2021-03-24 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2021-03-24_final.stac-item
2021-03-31 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2021-03-31_final.stac-item
2021-04-03 10:52:50	ga_s2bm_ard_3-2-1_53KMT_2021-04-03_final.stac-item
2021-04-10 10:42:55	ga_s2bm_ard_3-2-1_53KMT_2021-04-10_final.stac-item
2021-04-13 10:52:48	ga_s2bm_ard_3-2-1_53KMT_2021-04-13_final.stac-item
2021-04-20 10:42:47	ga_s2bm_ard_3-2-1_53KMT_2021-04-20_final.stac-item
2021-04-20 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2021-04-20_final.stac-item
2021-04-23 10:52:46	ga_s2bm_ard_3-2-1_53KMT_2021-04-23_final.stac-item
2021-04-30 10:42:48	ga_s2bm_ard_3-2-1_53KMT_2021-04-30_final.stac-item
2021-04-30 10:42:54	ga_s2bm_ard_3-2-1_53KMT_2021-04-30_final.stac-item
2021-05-10 10:42:50	ga_s2bm_ard_3-2-1_53KMT_2021-05-10_final.stac-item
2021-05-10 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2021-05-10_final.stac-item
2021-05-20 10:42:52	ga_s2bm_ard_3-2-1_53KMT_2021-05-20_final.stac-item
2021-05-20 10:42:58	ga_s2bm_ard_3-2-1_53KMT_2021-05-20_final.stac-item
2021-05-23 10:52:52	ga_s2bm_ard_3-2-1_53KMT_2021-05-23_final.stac-item
2021-05-30 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2021-05-30_final.stac-item
2021-05-30 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2021-05-30_final.stac-item
2021-06-02 10:52:53	ga_s2bm_ard_3-2-1_53KMT_2021-06-02_final.stac-item
2021-06-09 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2021-06-09_final.stac-item
2021-06-09 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2021-06-09_final.stac-item
2021-06-22 10:52:53	ga_s2bm_ard_3-2-1_53KMT_2021-06-22_final.stac-item
2021-06-29 10:42:53	ga_s2bm_ard_3-2-1_53KMT_2021-06-29_final.stac-item
2021-06-29 10:42:59	ga_s2bm_ard_3-2-1_53KMT_2021-06-29_final.stac-item
2021-07-02 10:52:53	ga_s2bm_ard_3-2-1_53KMT_2021-07-02_final.stac-item
2021-07-19 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2021-07-19_final.stac-item
2021-07-29 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2021-07-29_final.stac-item
2023-02-02 10:52:47	ga_s2bm_ard_3-2-1_53KMT_2023-02-02_final
2023-02-02 10:52:54	ga_s2bm_ard_3-2-1_53KMT_2023-02-02_final
2023-02-19 10:42:51	ga_s2bm_ard_3-2-1_53KMT_2023-02-19_final
2023-02-19 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2023-02-19_final
2023-02-22 10:52:52	ga_s2bm_ard_3-2-1_53KMT_2023-02-22_final
2023-08-08 10:42:58	ga_s2bm_ard_3-2-1_53KMT_2023-08-08_final
2023-08-08 10:43:04	ga_s2bm_ard_3-2-1_53KMT_2023-08-08_final
2023-08-21 10:52:57	ga_s2bm_ard_3-2-1_53KMT_2023-08-21_final
2023-08-28 10:43:01	ga_s2bm_ard_3-2-1_53KMT_2023-08-28_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years