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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KGP_2017-07-04_final.stac-item
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-07_final.stac-item
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGL_2017-07-17_final.stac-item
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGN_2017-07-17_final.stac-item
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KGP_2017-07-17_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGL_2017-08-03_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGP_2017-08-26_final.stac-item
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49JGN_2017-10-05_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGN_2017-11-14_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-11-21_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JHM_2017-12-01_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-01-20_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHM_2018-02-19_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-01_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGP_2018-03-04_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-11_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49KGP_2018-03-14_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KGP_2018-03-21_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGP_2018-04-03_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KGQ_2018-05-10_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGK_2018-05-20_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGN_2018-07-09_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHN_2018-07-09_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGN_2018-07-29_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KGQ_2018-07-29_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KGQ_2018-08-08_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49KGP_2018-09-07_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KGP_2018-09-17_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2018-09-27_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGN_2018-10-07_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JHM_2018-10-07_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2018-10-07_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JHM_2018-10-17_final.stac-item
2018-11-26 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2018-11-26_final.stac-item
2018-12-06 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2018-12-06_final.stac-item
2018-12-26 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2018-12-26_final.stac-item
2019-02-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-02-14_final.stac-item
2019-03-29 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2019-03-29_final.stac-item
2019-04-05 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2019-04-05_final.stac-item
2019-04-25 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-04-25_final.stac-item
2019-05-05 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2019-05-05_final.stac-item
2019-05-05 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-05-05_final.stac-item
2019-06-04 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2019-06-04_final.stac-item
2019-06-14 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2019-06-14_final.stac-item
2019-07-14 12:04:55	ga_s2bm_ard_3-2-1_49JGN_2019-07-14_final.stac-item
2019-07-14 12:05:17	ga_s2bm_ard_3-2-1_49JFM_2019-07-14_final.stac-item
2019-08-13 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-08-13_final.stac-item
2019-08-13 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2019-08-13_final.stac-item
2019-09-12 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-09-12_final.stac-item
2019-10-02 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-10-02_final.stac-item
2019-10-22 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2019-10-22_final.stac-item
2019-11-11 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2019-11-11_final.stac-item
2019-12-11 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2019-12-11_final.stac-item
2020-03-10 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2020-03-10_final.stac-item
2020-04-09 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-04-09_final.stac-item
2020-05-19 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-05-19_final.stac-item
2020-06-08 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-08_final.stac-item
2020-06-21 12:14:06	ga_s2bm_ard_3-2-1_49KGQ_2020-06-21_final.stac-item
2020-07-08 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-07-08_final.stac-item
2020-09-26 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2020-09-26_final.stac-item
2020-10-16 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2020-10-16_final.stac-item
2020-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-10-26_final.stac-item
2021-01-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-01-14_final.stac-item
2021-03-15 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-03-15_final.stac-item
2021-04-04 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2021-04-04_final.stac-item
2021-04-14 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2021-04-14_final.stac-item
2021-04-24 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2021-04-24_final.stac-item
2021-04-24 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-04-24_final.stac-item
2021-05-14 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-05-14_final.stac-item
2021-09-11 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2021-09-11_final.stac-item
2021-10-11 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2021-10-11_final.stac-item
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_49JFM_2021-12-20_final.stac-item
2022-01-09 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2022-01-09_final.stac-item
2022-01-09 12:05:04	ga_s2bm_ard_3-2-1_49JFM_2022-01-09_final.stac-item
2022-01-29 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2022-01-29_final.stac-item
2022-01-29 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-01-29_final.stac-item
2022-02-08 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-02-08_final.stac-item
2022-03-20 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2022-03-20_final.stac-item
2022-04-29 12:04:11	ga_s2bm_ard_3-2-1_49KGQ_2022-04-29_final.stac-item
2022-06-28 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2022-06-28_final.stac-item
2022-07-08 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2022-07-08_final.stac-item
2022-07-08 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2022-07-08_final.stac-item
2022-11-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-11-25_final.stac-item
2022-12-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-12-05_final.stac-item
2022-12-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-12-25_final.stac-item
2023-01-14 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2023-01-14_final.stac-item
2023-02-03 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-02-03_final.stac-item
2023-02-03 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2023-02-03_final.stac-item
2023-02-03 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2023-02-03_final.stac-item
2023-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2023-02-13_final
2023-03-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-03-05_final
2023-03-25 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-03-25_final
2023-05-04 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-05-04_final
2023-09-11 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-09-11_final
2023-09-21 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-09-21_final
2023-10-11 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2023-10-11_final
2023-11-20 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-11-20_final
2023-11-30 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-11-30_final
2023-12-30 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2023-12-30_final
2024-01-29 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2024-01-29_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