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
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HLK_2017-08-10_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGL_2017-08-26_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGM_2017-08-26_final.stac-item
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-12-15_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-25_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNK_2017-12-25_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMK_2018-01-14_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-30_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMH_2018-02-03_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNJ_2018-02-13_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-02-22_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KGP_2018-03-01_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-03-24_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-04-13_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGN_2018-04-20_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-04-23_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HMH_2018-06-03_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGM_2018-08-08_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGL_2018-08-21_final.stac-item
2018-11-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-06_final.stac-item
2019-01-09 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2019-01-09_final.stac-item
2019-01-09 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-01-09_final.stac-item
2019-01-09 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-01-09_final.stac-item
2019-01-25 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-01-25_final.stac-item
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final.stac-item
2019-06-25 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-06-25_final.stac-item
2019-08-27 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2019-08-27_final.stac-item
2019-09-26 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2019-09-26_final.stac-item
2019-10-22 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-10-22_final.stac-item
2019-12-21 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-21_final.stac-item
2020-01-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-01-13_final.stac-item
2020-01-20 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2020-01-20_final.stac-item
2020-01-30 12:05:36	ga_s2bm_ard_3-2-1_49JGJ_2020-01-30_final.stac-item
2020-02-13 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2020-02-13_final.stac-item
2020-03-10 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-03-10_final.stac-item
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-20_final.stac-item
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final.stac-item
2020-04-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-04-19_final.stac-item
2020-04-29 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2020-04-29_final.stac-item
2020-06-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-28_final.stac-item
2020-07-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-07-01_final.stac-item
2020-07-01 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-01_final.stac-item
2020-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-10_final.stac-item
2020-10-16 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-16_final.stac-item
2020-10-16 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-10-16_final.stac-item
2020-10-26 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-10-26_final.stac-item
2020-10-26 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2020-10-26_final.stac-item
2020-10-30 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-30_final.stac-item
2020-10-30 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-10-30_final.stac-item
2021-01-07 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-01-07_final.stac-item
2021-01-08 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-01-08_final.stac-item
2021-01-11 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2021-01-11_final
2021-01-17 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-01-17_final.stac-item
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-02-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-02-17_final.stac-item
2021-03-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-03-15_final
2021-04-14 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-04-14_final.stac-item
2021-05-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-05-17_final.stac-item
2021-05-18 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-05-18_final.stac-item
2021-05-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-05-27_final.stac-item
2021-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-17_final.stac-item
2021-06-23 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-06-23_final.stac-item
2021-07-17 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-17_final.stac-item
2021-07-23 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-07-23_final.stac-item
2021-08-02 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-08-02_final.stac-item
2021-08-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-08-12_final.stac-item
2021-08-25 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-08-25_final.stac-item
2021-09-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-09-21_final.stac-item
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final.stac-item
2021-12-07 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2021-12-07_final.stac-item
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final.stac-item
2022-04-16 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2022-04-16_final.stac-item
2022-04-29 12:03:52	ga_s2bm_ard_3-2-1_49KHR_2022-04-29_final.stac-item
2022-06-02 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-06-02_final.stac-item
2022-07-15 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-15_final.stac-item
2022-07-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-21_final.stac-item
2022-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final.stac-item
2022-09-29 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-09-29_final.stac-item
2022-12-12 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2022-12-12_final.stac-item
2022-12-15 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-12-15_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2023-01-14_final.stac-item
2023-01-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-01-15_final
2023-02-13 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-02-13_final
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-05_final
2023-03-25 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-25_final
2023-04-04 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-04-04_final
2023-04-04 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-04-04_final
2023-04-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final
2023-09-25 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-09-25_final
2023-10-01 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-01_final
2023-10-11 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2023-10-11_final
2023-11-10 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-11-10_final
2023-11-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2023-11-24_final
2023-11-30 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-11-30_final
2023-12-03 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2023-12-03_final
2024-01-03 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2024-01-03_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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