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
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGM_2017-12-01_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-12-15_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-01-03_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-02-09_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-04-20_final.stac-item
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_49JGK_2018-05-10_final.stac-item
2018-05-23 12:14:46	ga_s2bm_ard_3-2-1_49JGL_2018-05-23_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMJ_2018-05-24_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMK_2018-05-24_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-06-19_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLJ_2018-07-26_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HMK_2018-07-26_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-08-21_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMJ_2018-09-01_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGQ_2018-09-10_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HLH_2018-09-21_final.stac-item
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-10-07_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGN_2018-10-20_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGP_2018-10-20_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-10-27_final.stac-item
2018-11-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2018-11-16_final.stac-item
2018-12-06 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2018-12-06_final.stac-item
2018-12-06 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2018-12-06_final.stac-item
2019-01-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-01-18_final.stac-item
2019-02-08 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-02-08_final.stac-item
2019-02-24 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2019-02-24_final.stac-item
2019-03-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-03-03_final.stac-item
2019-04-05 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-04-05_final.stac-item
2019-07-11 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-07-11_final.stac-item
2019-08-13 12:05:07	ga_s2bm_ard_3-2-1_49JGM_2019-08-13_final.stac-item
2019-12-05 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-05_final.stac-item
2019-12-14 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2019-12-14_final.stac-item
2020-01-03 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-03_final.stac-item
2020-01-27 11:56:58	ga_s2bm_ard_3-2-1_50HMH_2020-01-27_final.stac-item
2020-03-20 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2020-03-20_final.stac-item
2020-03-30 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-30_final.stac-item
2020-04-06 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-04-06_final.stac-item
2020-04-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-04-19_final.stac-item
2020-06-02 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2020-06-02_final.stac-item
2020-08-07 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-07_final.stac-item
2020-08-24 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-08-24_final.stac-item
2020-09-09 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-09_final.stac-item
2020-10-16 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-16_final.stac-item
2020-11-05 12:04:33	ga_s2bm_ard_3-2-1_49KGP_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
2020-11-25 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2020-11-25_final.stac-item
2020-12-25 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-12-25_final.stac-item
2021-01-07 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-07_final.stac-item
2021-01-07 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-01-07_final.stac-item
2021-01-17 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final.stac-item
2021-01-18 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-18_final.stac-item
2021-02-10 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-02-10_final.stac-item
2021-02-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final.stac-item
2021-02-27 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-02-27_final.stac-item
2021-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-03-08_final.stac-item
2021-03-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-08_final.stac-item
2021-03-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-03-08_final.stac-item
2021-03-28 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-28_final.stac-item
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final.stac-item
2021-04-18 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-18_final
2021-04-18 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-04-18_final
2021-04-27 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-04-27_final.stac-item
2021-08-12 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-08-12_final.stac-item
2021-10-21 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2021-10-21_final.stac-item
2021-10-31 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-31_final.stac-item
2021-12-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-03_final.stac-item
2021-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final.stac-item
2021-12-07 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2021-12-07_final.stac-item
2021-12-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2021-12-07_final
2021-12-20 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-20_final.stac-item
2021-12-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2021-12-24_final.stac-item
2022-01-03 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2022-01-03_final.stac-item
2022-01-22 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2022-01-22_final.stac-item
2022-07-15 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-15_final.stac-item
2022-07-22 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-07-22_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 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2022-09-26_final.stac-item
2022-10-26 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-10-26_final.stac-item
2022-11-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-11-18_final.stac-item
2022-11-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-11-28_final.stac-item
2022-12-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2022-12-02_final.stac-item
2022-12-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2022-12-19_final.stac-item
2022-12-19 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-12-19_final.stac-item
2023-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-01-04_final
2023-01-31 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2023-01-31_final
2023-04-04 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-04-04_final
2023-05-04 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-05-04_final
2023-06-03 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-03_final
2023-08-05 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-08-05_final
2023-10-01 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-01_final
2023-10-14 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-10-14_final
2023-10-18 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-10-18_final
2023-11-03 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-11-03_final
2023-11-27 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2023-11-27_final
2023-12-04 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-12-04_final
2024-02-08 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-02-08_final
2024-03-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-03-02_final
2024-03-06 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2024-03-06_final
2024-03-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2024-03-12_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

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