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
2018-03-05 11:36:41	ga_s2bm_ard_3-2-1_51KUB_2018-03-05_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JUH_2018-04-01_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JUG_2018-04-28_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51JUG_2018-05-18_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51JUG_2018-06-07_final
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51JUG_2018-06-17_final
2019-05-09 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2019-05-09_final.stac-item
2019-05-26 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-05-26_final
2019-06-05 11:34:54	ga_s2bm_ard_3-2-1_51JUM_2019-06-05_final
2019-06-15 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2019-06-15_final
2019-06-15 11:34:56	ga_s2bm_ard_3-2-1_51JUM_2019-06-15_final
2019-06-18 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2019-06-18_final.stac-item
2019-06-25 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-06-25_final
2019-07-05 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-07-05_final
2019-07-15 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-07-15_final
2019-07-25 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-07-25_final
2019-08-04 11:34:54	ga_s2bm_ard_3-2-1_51JUM_2019-08-04_final
2019-08-14 11:34:53	ga_s2bm_ard_3-2-1_51JUM_2019-08-14_final
2019-08-24 11:34:51	ga_s2bm_ard_3-2-1_51JUM_2019-08-24_final
2019-09-03 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2019-09-03_final
2019-09-13 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-09-13_final
2019-09-23 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2019-09-23_final
2019-10-03 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-10-03_final
2019-10-13 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-10-13_final
2019-10-23 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-10-23_final
2019-11-02 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2019-11-02_final
2019-11-12 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2019-11-12_final
2019-11-22 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2019-11-22_final
2019-12-02 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2019-12-02_final
2019-12-12 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2019-12-12_final
2019-12-22 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2019-12-22_final
2020-01-01 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-01-01_final
2020-01-11 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-01-11_final
2020-01-21 11:34:40	ga_s2bm_ard_3-2-1_51JUM_2020-01-21_final
2020-01-31 11:34:39	ga_s2bm_ard_3-2-1_51JUM_2020-01-31_final
2020-02-10 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-02-10_final
2020-02-20 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2020-02-20_final
2020-03-01 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2020-03-01_final
2020-03-11 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2020-03-11_final
2020-03-21 11:34:38	ga_s2bm_ard_3-2-1_51JUM_2020-03-21_final
2020-03-21 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2020-03-21_final
2020-03-31 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2020-03-31_final
2020-04-10 11:34:38	ga_s2bm_ard_3-2-1_51JUM_2020-04-10_final
2020-04-10 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2020-04-10_final
2020-04-13 11:42:10	ga_s2bm_ard_3-2-1_51KUB_2020-04-13_final.stac-item
2020-04-20 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-04-20_final
2020-04-30 11:34:42	ga_s2bm_ard_3-2-1_51JUM_2020-04-30_final
2020-05-10 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2020-05-10_final
2020-05-20 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2020-05-20_final
2020-05-30 11:34:48	ga_s2bm_ard_3-2-1_51JUM_2020-05-30_final
2020-06-09 11:34:48	ga_s2bm_ard_3-2-1_51JUM_2020-06-09_final
2020-06-09 11:34:54	ga_s2bm_ard_3-2-1_51JUM_2020-06-09_final
2020-06-19 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2020-06-19_final
2020-06-29 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2020-06-29_final
2020-07-09 11:34:48	ga_s2bm_ard_3-2-1_51JUM_2020-07-09_final
2020-07-19 11:34:48	ga_s2bm_ard_3-2-1_51JUM_2020-07-19_final
2020-07-29 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2020-07-29_final
2020-08-08 11:34:50	ga_s2bm_ard_3-2-1_51JUM_2020-08-08_final
2020-08-18 11:34:50	ga_s2bm_ard_3-2-1_51JUM_2020-08-18_final
2020-08-28 11:34:50	ga_s2bm_ard_3-2-1_51JUM_2020-08-28_final
2021-08-13 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2021-08-13_final
2021-08-23 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2021-08-23_final
2021-09-02 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2021-09-02_final
2021-09-12 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2021-09-12_final
2021-09-22 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2021-09-22_final
2021-10-02 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2021-10-02_final
2021-10-12 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2021-10-12_final
2021-10-22 11:34:48	ga_s2bm_ard_3-2-1_51JUM_2021-10-22_final
2021-11-01 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2021-11-01_final
2021-11-11 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2021-11-11_final
2021-11-21 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2021-11-21_final
2021-12-01 11:34:42	ga_s2bm_ard_3-2-1_51JUM_2021-12-01_final
2021-12-11 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2021-12-11_final
2021-12-21 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2021-12-21_final
2021-12-31 11:34:42	ga_s2bm_ard_3-2-1_51JUM_2021-12-31_final
2022-11-23 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2022-11-23_final.stac-item
2022-12-03 11:26:03	ga_s2bm_ard_3-2-1_51JUG_2022-12-03_final.stac-item
2022-12-23 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2022-12-23_final.stac-item
2023-01-02 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2023-01-02_final.stac-item
2023-03-13 11:26:09	ga_s2bm_ard_3-2-1_51JUG_2023-03-13_final.stac-item
2023-03-23 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2023-03-23_final.stac-item
2023-04-12 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2023-04-12_final.stac-item
2023-05-12 11:26:08	ga_s2bm_ard_3-2-1_51JUG_2023-05-12_final.stac-item
2023-05-22 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2023-05-22_final.stac-item
2023-06-01 11:26:09	ga_s2bm_ard_3-2-1_51JUG_2023-06-01_final.stac-item
2023-07-01 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2023-07-01_final.stac-item
2023-08-20 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2023-08-20_final.stac-item
2023-08-30 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2023-08-30_final.stac-item
2023-09-09 11:26:09	ga_s2bm_ard_3-2-1_51JUG_2023-09-09_final.stac-item
2023-09-19 11:26:08	ga_s2bm_ard_3-2-1_51JUG_2023-09-19_final.stac-item
2023-10-29 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2023-10-29_final.stac-item
2023-12-18 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2023-12-18_final.stac-item
2023-12-21 11:36:05	ga_s2bm_ard_3-2-1_51JUG_2023-12-21_final.stac-item
2023-12-28 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2023-12-28_final.stac-item
2024-01-07 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-01-07_final.stac-item
2024-01-17 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-01-17_final.stac-item
2024-01-27 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-01-27_final.stac-item
2024-02-16 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2024-02-16_final.stac-item
2024-04-06 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2024-04-06_final.stac-item
2024-04-16 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2024-04-16_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