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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HQK_2017-07-05_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-14_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2017-07-14_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_49JGM_2017-07-17_final.stac-item
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HMK_2017-08-10_final.stac-item
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_49JGL_2017-08-23_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HMJ_2017-08-27_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMK_2017-11-25_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMK_2017-12-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLJ_2017-12-28_final.stac-item
2018-01-01 11:35:58	ga_s2bm_ard_3-2-1_50HPK_2018-01-01_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNJ_2018-01-14_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-01-20_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HPJ_2018-02-13_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMK_2018-02-16_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_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_49KHP_2018-03-01_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGL_2018-03-04_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-11_final.stac-item
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_50HQK_2018-03-12_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMK_2018-03-18_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGN_2018-03-24_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-04-10_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-04-13_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-29_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JHN_2018-06-29_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGM_2018-07-09_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGL_2018-07-12_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGM_2018-07-12_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JKN_2018-07-26_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGN_2018-07-29_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JHN_2018-08-08_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGN_2018-09-07_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final.stac-item
2019-02-08 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-08_final.stac-item
2019-02-11 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-02-11_final.stac-item
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final.stac-item
2019-02-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-17_final.stac-item
2019-02-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-02-18_final.stac-item
2019-02-21 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-02-21_final.stac-item
2019-03-09 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2019-03-09_final.stac-item
2019-03-23 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2019-03-23_final.stac-item
2019-03-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-26_final.stac-item
2019-04-09 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2019-04-09_final.stac-item
2019-04-22 11:57:01	ga_s2bm_ard_3-2-1_50HLJ_2019-04-22_final.stac-item
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final.stac-item
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-04-25_final.stac-item
2019-04-28 12:15:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-28_final.stac-item
2019-05-05 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-05_final.stac-item
2019-06-05 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-06-05_final.stac-item
2019-06-21 11:56:07	ga_s2bm_ard_3-2-1_50JKN_2019-06-21_final.stac-item
2019-10-26 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2019-10-26_final.stac-item
2019-10-26 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-10-26_final.stac-item
2019-12-01 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-01_final.stac-item
2019-12-28 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2019-12-28_final.stac-item
2020-01-04 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2020-01-04_final.stac-item
2020-01-04 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2020-01-04_final.stac-item
2020-01-14 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-14_final.stac-item
2020-02-13 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2020-02-13_final.stac-item
2020-04-03 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2020-04-03_final.stac-item
2020-05-23 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2020-05-23_final.stac-item
2020-06-19 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-19_final.stac-item
2020-06-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-28_final.stac-item
2020-10-20 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-20_final.stac-item
2020-10-23 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-23_final.stac-item
2020-10-23 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-10-23_final.stac-item
2020-11-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-11-05_final.stac-item
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final.stac-item
2020-11-09 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2020-11-09_final.stac-item
2021-01-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-01-01_final.stac-item
2021-02-04 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-02-04_final.stac-item
2021-03-06 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-03-06_final.stac-item
2021-03-19 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-03-19_final.stac-item
2021-04-05 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-04-05_final.stac-item
2021-04-18 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-18_final
2021-04-21 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-04-21_final.stac-item
2021-05-14 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final.stac-item
2021-05-14 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-05-14_final.stac-item
2021-05-18 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-05-18_final.stac-item
2021-06-04 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-04_final
2021-06-23 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-06-23_final.stac-item
2021-06-26 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-06-26_final.stac-item
2021-08-02 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final.stac-item
2021-08-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-08-13_final.stac-item
2021-09-21 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2021-09-21_final.stac-item
2021-10-18 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2021-10-18_final.stac-item
2021-10-22 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-10-22_final
2022-02-12 11:46:55	ga_s2bm_ard_3-2-1_50HNH_2022-02-12_final.stac-item
2022-10-13 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2022-10-13_final.stac-item
2022-11-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-11-25_final.stac-item
2023-01-11 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2023-01-11_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-01-11_final.stac-item
2023-02-07 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-07_final
2023-06-06 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-06-06_final
2023-07-26 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-26_final
2023-12-24 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2023-12-24_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