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
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLJ_2018-03-08_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPK_2018-03-22_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HPK_2018-05-11_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HPK_2018-05-24_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50JKN_2018-06-16_final.stac-item
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGP_2018-06-22_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HMH_2018-08-15_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KHP_2018-08-18_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGN_2018-08-28_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HMJ_2018-09-21_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2018-09-27_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPK_2018-09-28_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-10-27_final.stac-item
2018-11-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2018-11-10_final.stac-item
2018-11-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-11-27_final.stac-item
2018-11-30 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2018-11-30_final.stac-item
2018-12-19 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2018-12-19_final.stac-item
2018-12-23 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-23_final.stac-item
2019-01-15 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-01-15_final.stac-item
2019-02-11 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2019-02-11_final.stac-item
2019-03-09 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2019-03-09_final.stac-item
2019-03-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2019-03-16_final.stac-item
2019-03-20 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2019-03-20_final.stac-item
2019-03-29 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2019-03-29_final.stac-item
2019-04-06 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2019-04-06_final.stac-item
2019-04-08 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2019-04-08_final.stac-item
2019-04-09 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2019-04-09_final.stac-item
2019-04-15 12:04:23	ga_s2bm_ard_3-2-1_49KGQ_2019-04-15_final.stac-item
2019-08-03 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-08-03_final.stac-item
2019-08-17 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-08-17_final.stac-item
2019-09-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-09-12_final.stac-item
2019-09-15 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-09-15_final.stac-item
2019-10-12 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2019-10-12_final.stac-item
2019-11-08 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-11-08_final.stac-item
2019-11-12 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2019-11-12_final.stac-item
2019-11-21 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2019-11-21_final.stac-item
2019-12-31 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2019-12-31_final.stac-item
2020-01-10 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-01-10_final.stac-item
2020-01-24 11:46:30	ga_s2bm_ard_3-2-1_50HNK_2020-01-24_final.stac-item
2020-03-24 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-24_final.stac-item
2020-04-02 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-04-02_final.stac-item
2020-05-12 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2020-05-12_final.stac-item
2020-06-25 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2020-06-25_final.stac-item
2020-07-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-07-11_final.stac-item
2020-07-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-07-28_final.stac-item
2020-08-21 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-21_final.stac-item
2020-08-27 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final.stac-item
2020-08-30 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2020-08-30_final.stac-item
2020-09-16 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2020-09-16_final.stac-item
2020-09-23 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2020-09-23_final.stac-item
2020-10-06 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-06_final.stac-item
2020-10-30 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-30_final.stac-item
2020-11-12 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2020-11-12_final.stac-item
2020-11-19 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2020-11-19_final.stac-item
2020-12-12 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-12_final.stac-item
2021-01-05 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-01-05_final.stac-item
2021-03-05 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-03-05_final.stac-item
2021-04-04 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2021-04-04_final.stac-item
2021-04-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-04-14_final.stac-item
2021-04-21 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2021-04-21_final.stac-item
2021-07-13 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final.stac-item
2021-09-24 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-09-24_final.stac-item
2021-10-18 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-10-18_final.stac-item
2021-11-03 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-11-03_final.stac-item
2021-11-13 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-11-13_final.stac-item
2021-11-14 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-11-14_final.stac-item
2021-11-21 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2021-11-21_final.stac-item
2022-01-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2022-01-22_final.stac-item
2022-01-30 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2022-01-30_final.stac-item
2022-02-08 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-02-08_final.stac-item
2022-03-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2022-03-10_final.stac-item
2022-04-16 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2022-04-16_final.stac-item
2022-05-22 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2022-05-22_final.stac-item
2022-07-08 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2022-07-08_final.stac-item
2022-07-18 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2022-07-18_final.stac-item
2022-07-22 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2022-07-22_final.stac-item
2022-08-14 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2022-08-14_final.stac-item
2022-08-17 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final.stac-item
2022-08-17 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2022-08-17_final.stac-item
2022-08-24 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-08-24_final.stac-item
2022-09-16 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2022-09-16_final.stac-item
2023-01-27 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2023-01-27_final.stac-item
2023-02-20 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-02-20_final
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final
2023-04-18 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2023-04-18_final
2023-04-25 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-04-25_final
2023-06-04 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-06-04_final
2023-07-07 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-07-07_final
2023-08-19 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-08-19_final
2023-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-09-01_final
2023-09-24 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-09-24_final
2023-11-04 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-11-04_final
2023-12-17 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2023-12-17_final
2023-12-24 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-12-24_final
2024-01-09 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2024-01-09_final
2024-01-23 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2024-01-23_final
2024-01-23 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2024-01-23_final
2024-02-12 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-02-12_final
2024-04-11 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2024-04-11_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