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
2019-08-06 12:14:06	ga_s2bm_ard_3-2-1_49KGR_2019-08-06_final
2019-08-16 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2019-08-16_final
2019-08-26 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-08-26_final
2019-08-26 12:14:05	ga_s2bm_ard_3-2-1_49KGR_2019-08-26_final
2019-09-05 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2019-09-05_final
2019-09-15 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-09-15_final
2019-09-25 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-09-25_final
2019-10-05 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2019-10-15 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-15_final
2019-10-25 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-25_final
2019-11-04 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-11-04_final
2019-11-14 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-11-14_final
2019-11-24 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2019-11-24_final
2019-12-04 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2019-12-04_final
2019-12-14 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-14_final
2019-12-24 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-24_final
2020-01-03 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-03_final
2020-01-13 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-01-13_final
2020-01-23 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-01-23_final
2020-02-02 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-02-02_final
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final
2020-02-22 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-02-22_final
2020-03-03 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-03_final
2020-03-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-13_final
2020-03-23 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-23_final
2020-04-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-04-02_final
2020-04-02 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2020-04-02_final
2020-04-12 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2020-04-12_final
2020-04-12 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-04-12_final
2020-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-04-22_final
2020-05-02 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-05-02_final
2020-05-12 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2020-05-12_final
2020-05-22 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2020-05-22_final
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final
2020-06-11 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-11_final
2020-06-11 12:14:08	ga_s2bm_ard_3-2-1_49KGR_2020-06-11_final
2020-06-21 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-21_final
2020-06-21 12:14:07	ga_s2bm_ard_3-2-1_49KGR_2020-06-21_final
2020-07-01 12:13:51	ga_s2bm_ard_3-2-1_49KGR_2020-07-01_final
2020-07-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-07-01_final
2020-10-29 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-10-29_final
2020-11-05 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-11-05_final
2020-11-08 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-11-08_final
2020-11-15 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2020-11-15_final
2020-11-18 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-11-18_final
2020-11-25 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2020-11-25_final
2020-11-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2020-11-28_final
2020-12-05 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2020-12-05_final
2020-12-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-08_final
2020-12-18 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2020-12-18_final
2020-12-25 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-12-25_final
2020-12-28 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-28_final
2021-01-04 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-01-04_final
2021-01-07 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-01-07_final
2021-01-14 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-14_final
2021-01-17 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-01-17_final
2021-01-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-24_final
2021-01-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-01-27_final
2021-02-03 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-03_final
2021-02-06 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-02-06_final
2021-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-02-13_final
2021-02-16 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-02-16_final
2021-02-23 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2021-02-23_final
2021-02-26 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final
2021-02-26 12:14:30	ga_s2bm_ard_3-2-1_49JGN_2021-02-26_final
2021-02-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final
2021-03-05 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-05_final
2021-03-08 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-03-08_final
2021-03-15 12:04:22	ga_s2bm_ard_3-2-1_49KGP_2021-03-15_final
2021-03-15 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-15_final
2021-03-18 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-03-18_final
2021-03-25 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-25_final
2021-03-28 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2021-03-28_final
2021-04-04 12:04:20	ga_s2bm_ard_3-2-1_49KGP_2021-04-04_final
2021-04-04 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2021-04-04_final
2021-04-07 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-04-07_final
2021-04-14 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2021-04-14_final
2021-04-17 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-04-17_final
2021-04-24 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-04-24_final
2021-04-27 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2021-04-27_final
2021-05-04 12:04:19	ga_s2bm_ard_3-2-1_49KGP_2021-05-04_final
2021-05-04 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-05-04_final
2021-05-07 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-05-07_final
2021-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGP_2021-05-14_final
2021-05-14 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-05-14_final
2021-05-17 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-05-17_final
2021-05-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-05-24_final
2021-05-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-05-27_final
2021-06-03 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-03_final
2021-06-06 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-06-06_final
2022-12-15 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2022-12-15_final.stac-item
2022-12-28 12:13:28	ga_s2bm_ard_3-2-1_49KHT_2022-12-28_nrt.stac-item
2023-09-21 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-09-21_final.stac-item
2023-10-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final.stac-item
2023-11-30 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final.stac-item
2024-03-09 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2024-03-09_final.stac-item
2024-03-22 12:13:28	ga_s2bm_ard_3-2-1_49KHT_2024-03-22_nrt.stac-item
2024-03-29 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2024-03-29_final.stac-item
2024-04-01 12:13:27	ga_s2bm_ard_3-2-1_49KHT_2024-04-01_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

All years