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
2018-02-17 09:41:01	ga_s2bm_ard_3-2-1_56KMD_2018-02-17_final.stac-item
2018-04-08 09:41:06	ga_s2bm_ard_3-2-1_56KMD_2018-04-08_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-04-28_final.stac-item
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-05-18_final.stac-item
2018-05-28 09:41:05	ga_s2bm_ard_3-2-1_56KMD_2018-05-28_final.stac-item
2018-06-17 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-06-17_final.stac-item
2018-06-27 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-06-27_final.stac-item
2018-07-07 09:41:07	ga_s2bm_ard_3-2-1_56KMD_2018-07-07_final.stac-item
2018-09-15 09:41:00	ga_s2bm_ard_3-2-1_56KMD_2018-09-15_final.stac-item
2018-09-25 09:41:02	ga_s2bm_ard_3-2-1_56KMD_2018-09-25_final.stac-item
2018-10-05 09:41:04	ga_s2bm_ard_3-2-1_56KMD_2018-10-05_final.stac-item
2018-11-14 09:42:04	ga_s2bm_ard_3-2-1_56KMD_2018-11-14_final.stac-item
2018-12-24 09:42:03	ga_s2bm_ard_3-2-1_56KMD_2018-12-24_final.stac-item
2019-01-03 09:42:05	ga_s2bm_ard_3-2-1_56KMD_2019-01-03_final.stac-item
2019-02-02 09:42:07	ga_s2bm_ard_3-2-1_56KMD_2019-02-02_final.stac-item
2019-02-22 09:42:06	ga_s2bm_ard_3-2-1_56KMD_2019-02-22_final.stac-item
2019-03-04 09:42:05	ga_s2bm_ard_3-2-1_56KMD_2019-03-04_final.stac-item
2019-03-14 09:42:04	ga_s2bm_ard_3-2-1_56KMD_2019-03-14_final.stac-item
2019-04-13 09:42:12	ga_s2bm_ard_3-2-1_56KMD_2019-04-13_final.stac-item
2019-05-13 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-05-13_final.stac-item
2019-05-23 09:42:16	ga_s2bm_ard_3-2-1_56KMD_2019-05-23_final.stac-item
2019-06-02 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-06-02_final.stac-item
2019-06-12 09:42:14	ga_s2bm_ard_3-2-1_56KMD_2019-06-12_final.stac-item
2019-06-22 09:42:15	ga_s2bm_ard_3-2-1_56KMD_2019-06-22_final.stac-item
2019-07-02 09:42:16	ga_s2bm_ard_3-2-1_56KMD_2019-07-02_final.stac-item
2019-07-12 09:42:16	ga_s2bm_ard_3-2-1_56KMD_2019-07-12_final.stac-item
2019-08-11 09:42:14	ga_s2bm_ard_3-2-1_56KMD_2019-08-11_final.stac-item
2019-09-10 09:42:08	ga_s2bm_ard_3-2-1_56KMD_2019-09-10_final.stac-item
2019-10-10 09:42:08	ga_s2bm_ard_3-2-1_56KMD_2019-10-10_final.stac-item
2019-11-17 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2019-11-17_final
2019-11-27 10:42:28	ga_s2bm_ard_3-2-1_53KQU_2019-11-27_final
2019-11-29 09:42:02	ga_s2bm_ard_3-2-1_56KMD_2019-11-29_final.stac-item
2019-12-09 09:42:01	ga_s2bm_ard_3-2-1_56KMD_2019-12-09_final.stac-item
2019-12-13 11:02:34	ga_s2bm_ard_3-2-1_53KKU_2019-12-13_final
2019-12-17 10:42:27	ga_s2bm_ard_3-2-1_53KQU_2019-12-17_final
2019-12-23 11:02:35	ga_s2bm_ard_3-2-1_53KKU_2019-12-23_final
2019-12-27 10:42:27	ga_s2bm_ard_3-2-1_53KQU_2019-12-27_final
2020-01-02 11:02:35	ga_s2bm_ard_3-2-1_53KKU_2020-01-02_final
2020-01-06 10:42:27	ga_s2bm_ard_3-2-1_53KQU_2020-01-06_final
2020-01-12 11:02:34	ga_s2bm_ard_3-2-1_53KKU_2020-01-12_final
2020-01-16 10:42:26	ga_s2bm_ard_3-2-1_53KQU_2020-01-16_final
2020-01-22 11:02:33	ga_s2bm_ard_3-2-1_53KKU_2020-01-22_final
2020-01-26 10:42:25	ga_s2bm_ard_3-2-1_53KQU_2020-01-26_final
2020-02-01 11:02:32	ga_s2bm_ard_3-2-1_53KKU_2020-02-01_final
2020-02-05 10:42:26	ga_s2bm_ard_3-2-1_53KQU_2020-02-05_final
2020-02-11 11:02:34	ga_s2bm_ard_3-2-1_53KKU_2020-02-11_final
2020-02-15 10:42:27	ga_s2bm_ard_3-2-1_53KQU_2020-02-15_final
2020-02-25 10:42:29	ga_s2bm_ard_3-2-1_53KQU_2020-02-25_final
2020-03-02 11:02:37	ga_s2bm_ard_3-2-1_53KKU_2020-03-02_final
2020-03-06 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2020-03-06_final
2020-03-16 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2020-03-16_final
2020-03-26 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2020-03-26_final
2020-04-05 10:42:29	ga_s2bm_ard_3-2-1_53KQU_2020-04-05_final
2020-04-11 11:02:36	ga_s2bm_ard_3-2-1_53KKU_2020-04-11_final
2020-04-15 10:42:28	ga_s2bm_ard_3-2-1_53KQU_2020-04-15_final
2020-04-21 11:02:34	ga_s2bm_ard_3-2-1_53KKU_2020-04-21_final
2020-04-25 10:42:27	ga_s2bm_ard_3-2-1_53KQU_2020-04-25_final
2020-05-01 11:02:36	ga_s2bm_ard_3-2-1_53KKU_2020-05-01_final
2020-05-05 10:42:29	ga_s2bm_ard_3-2-1_53KQU_2020-05-05_final
2020-05-15 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2020-05-15_final
2020-05-21 11:02:40	ga_s2bm_ard_3-2-1_53KKU_2020-05-21_final
2020-05-25 10:42:33	ga_s2bm_ard_3-2-1_53KQU_2020-05-25_final
2020-06-04 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2020-06-04_final
2020-06-14 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2020-06-14_final
2020-06-20 11:02:42	ga_s2bm_ard_3-2-1_53KKU_2020-06-20_final
2020-06-24 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2020-06-24_final
2020-07-04 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2020-07-04_final
2020-07-14 10:42:33	ga_s2bm_ard_3-2-1_53KQU_2020-07-14_final
2020-07-20 11:02:41	ga_s2bm_ard_3-2-1_53KKU_2020-07-20_final
2020-07-24 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2020-07-24_final
2020-08-03 10:42:35	ga_s2bm_ard_3-2-1_53KQU_2020-08-03_final
2020-08-13 10:42:35	ga_s2bm_ard_3-2-1_53KQU_2020-08-13_final
2020-08-23 10:42:35	ga_s2bm_ard_3-2-1_53KQU_2020-08-23_final
2020-09-02 10:42:35	ga_s2bm_ard_3-2-1_53KQU_2020-09-02_final
2020-09-12 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2020-09-12_final
2020-09-22 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2020-09-22_final
2020-10-02 10:42:35	ga_s2bm_ard_3-2-1_53KQU_2020-10-02_final
2020-10-12 10:42:36	ga_s2bm_ard_3-2-1_53KQU_2020-10-12_final
2020-10-22 10:42:35	ga_s2bm_ard_3-2-1_53KQU_2020-10-22_final
2020-11-01 10:42:35	ga_s2bm_ard_3-2-1_53KQU_2020-11-01_final
2020-11-11 10:42:33	ga_s2bm_ard_3-2-1_53KQU_2020-11-11_final
2020-11-21 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2020-11-21_final
2020-12-01 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2020-12-01_final
2020-12-11 10:42:29	ga_s2bm_ard_3-2-1_53KQU_2020-12-11_final
2020-12-21 10:42:28	ga_s2bm_ard_3-2-1_53KQU_2020-12-21_final
2020-12-31 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2020-12-31_final
2021-01-10 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2021-01-10_final
2021-01-20 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2021-01-20_final
2021-01-30 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2021-01-30_final
2021-02-09 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2021-02-09_final
2021-02-19 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2021-02-19_final
2021-03-01 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2021-03-01_final
2021-03-11 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2021-03-11_final
2021-04-10 10:42:29	ga_s2bm_ard_3-2-1_53KQU_2021-04-10_final
2021-04-20 10:42:27	ga_s2bm_ard_3-2-1_53KQU_2021-04-20_final
2021-05-10 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2021-05-10_final
2021-06-19 10:42:33	ga_s2bm_ard_3-2-1_53KQU_2021-06-19_final
2021-08-08 10:42:33	ga_s2bm_ard_3-2-1_53KQU_2021-08-08_final
2021-08-18 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2021-08-18_final
2021-08-28 10:42:30	ga_s2bm_ard_3-2-1_53KQU_2021-08-28_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years