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
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2017-08-03_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-11-21_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-11-24_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGJ_2017-12-01_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-01-20_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-02-12_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-02-19_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-02-22_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-11_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-11_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHQ_2018-04-20_final.stac-item
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-05-13_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-06-09_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-19_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-29_final.stac-item
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-07-02_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHR_2018-07-09_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-07-12_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-07-12_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-08-08_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHR_2018-08-18_final.stac-item
2018-12-06 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2018-12-06_final.stac-item
2018-12-20 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2018-12-20_final.stac-item
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final.stac-item
2019-03-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2019-03-09_final.stac-item
2019-03-16 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-03-16_final.stac-item
2019-03-16 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final.stac-item
2019-03-19 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-03-19_final.stac-item
2019-04-05 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2019-04-05_final.stac-item
2019-04-15 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2019-04-15_final.stac-item
2019-04-25 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2019-04-25_final.stac-item
2019-05-25 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-25_final.stac-item
2019-05-28 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-05-28_final.stac-item
2019-06-04 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-06-04_final.stac-item
2019-06-24 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-06-24_final.stac-item
2019-08-03 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-08-03_final.stac-item
2019-08-06 12:14:34	ga_s2bm_ard_3-2-1_49KGP_2019-08-06_final.stac-item
2019-08-23 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2019-08-23_final.stac-item
2019-08-26 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-08-26_final.stac-item
2019-08-26 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2019-08-26_final.stac-item
2019-10-02 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-10-02_final.stac-item
2020-01-10 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-01-10_final.stac-item
2020-04-29 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2020-04-29_final.stac-item
2020-06-05 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-06-05_final.stac-item
2020-07-18 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-07-18_final.stac-item
2020-07-28 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-07-28_final.stac-item
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final.stac-item
2020-10-16 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-10-16_final.stac-item
2020-10-19 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2020-10-19_final.stac-item
2020-10-26 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2020-10-26_final.stac-item
2020-11-05 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-11-05_final.stac-item
2021-01-17 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final.stac-item
2021-03-05 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-03-05_final.stac-item
2021-03-12 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-12_final.stac-item
2021-03-15 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-15_final.stac-item
2021-03-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-15_final.stac-item
2021-03-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-25_final.stac-item
2021-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final.stac-item
2021-04-24 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-04-24_final.stac-item
2021-05-14 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-14_final.stac-item
2021-06-06 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-06_final.stac-item
2021-08-12 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final.stac-item
2021-09-14 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-14_final.stac-item
2021-10-21 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2021-10-21_final.stac-item
2021-11-13 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-11-13_final.stac-item
2021-11-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-11-20_final.stac-item
2021-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-11-20_final.stac-item
2021-11-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-11-30_final.stac-item
2022-01-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-01-02_final.stac-item
2022-06-28 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-06-28_final.stac-item
2022-07-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-28_final.stac-item
2022-08-07 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2022-08-07_final.stac-item
2022-08-10 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-08-10_final.stac-item
2022-08-17 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-08-17_final.stac-item
2022-09-26 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2022-09-26_final.stac-item
2022-09-26 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2022-09-26_final.stac-item
2022-10-03 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-10-03_final.stac-item
2023-02-03 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-02-03_final.stac-item
2023-02-23 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-02-23_final
2023-04-14 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-04-14_final
2023-05-07 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-05-07_final
2023-05-27 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-05-27_final
2023-06-13 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-06-13_final
2023-06-23 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-23_final
2023-07-13 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-07-13_final
2023-07-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-23_final
2023-09-11 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-09-11_final
2023-10-24 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-10-24_final
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final
2023-11-10 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-11-10_final
2023-11-20 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-20_final
2023-11-30 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-11-30_final
2023-12-20 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-12-20_final
2024-01-02 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2024-01-02_final
2024-01-09 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-09_final
2024-01-19 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2024-01-19_final
2024-04-18 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2024-04-18_final
2024-04-18 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-04-18_final
2024-05-11 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2024-05-11_final
2024-05-18 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2024-05-18_nrt

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