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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPJ_2017-08-27_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-10-25_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-11-14_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HQJ_2017-11-25_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGP_2018-03-04_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHP_2018-04-03_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KGP_2018-04-13_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-04-13_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPH_2018-08-22_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMH_2018-08-25_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGL_2018-10-30_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGN_2018-10-30_final.stac-item
2018-11-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2018-11-10_final.stac-item
2018-11-26 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2018-11-26_final.stac-item
2018-12-03 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-03_final.stac-item
2018-12-06 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2018-12-06_final.stac-item
2018-12-10 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2018-12-10_final.stac-item
2018-12-16 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2018-12-16_final.stac-item
2018-12-23 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2018-12-23_final.stac-item
2019-01-25 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-01-25_final.stac-item
2019-01-29 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-01-29_final.stac-item
2019-02-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-14_final.stac-item
2019-05-19 11:46:55	ga_s2bm_ard_3-2-1_50HQJ_2019-05-19_final.stac-item
2019-06-28 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-28_final.stac-item
2019-12-04 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2019-12-04_final.stac-item
2019-12-21 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-21_final.stac-item
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final.stac-item
2020-01-23 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2020-01-23_final.stac-item
2020-02-12 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2020-02-12_final.stac-item
2020-02-12 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-02-12_final.stac-item
2020-06-28 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-06-28_final.stac-item
2020-07-02 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-07-02_final.stac-item
2020-07-12 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-07-12_final.stac-item
2020-07-25 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-07-25_final.stac-item
2020-07-25 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2020-07-25_final.stac-item
2020-09-26 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2020-09-26_final.stac-item
2020-09-30 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2020-09-30_final.stac-item
2020-10-09 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2020-10-09_final.stac-item
2020-10-26 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-10-26_final.stac-item
2020-10-26 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-10-26_final.stac-item
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final.stac-item
2020-11-05 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-11-05_final.stac-item
2020-11-18 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final.stac-item
2020-11-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-11-25_final.stac-item
2020-12-08 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-12-08_final.stac-item
2020-12-29 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-12-29_final.stac-item
2021-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-01-04_final
2021-01-07 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-01-07_final.stac-item
2021-01-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-17_final.stac-item
2021-01-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-24_final.stac-item
2021-01-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-01-24_final.stac-item
2021-02-14 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2021-02-14_final.stac-item
2021-02-16 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-02-16_final.stac-item
2021-02-26 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-02-26_final.stac-item
2021-02-26 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final.stac-item
2021-03-05 12:04:20	ga_s2bm_ard_3-2-1_49KHQ_2021-03-05_final.stac-item
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final.stac-item
2021-03-19 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-03-19_final
2021-05-08 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2021-05-08_final
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final
2021-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-07_final.stac-item
2021-06-17 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-06-17_final
2021-06-26 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-06-26_final.stac-item
2021-06-26 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-26_final.stac-item
2021-06-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-27_final.stac-item
2021-06-30 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-06-30_final.stac-item
2021-07-13 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final.stac-item
2021-07-17 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2021-07-17_final
2021-07-27 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-27_final.stac-item
2021-08-06 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-08-06_final
2021-08-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-08-09_final.stac-item
2021-08-22 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-08-22_final.stac-item
2021-09-12 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2021-09-12_final
2021-10-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-10-05_final
2021-10-22 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-10-22_final
2021-11-14 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-11-14_final.stac-item
2021-11-14 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-11-14_final
2021-12-07 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2021-12-07_final.stac-item
2021-12-10 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-12-10_final.stac-item
2022-01-20 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2022-01-20_final.stac-item
2022-01-23 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-01-23_final.stac-item
2022-06-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-06-22_final.stac-item
2022-07-22 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-22_final.stac-item
2022-10-19 12:14:03	ga_s2bm_ard_3-2-1_49KGQ_2022-10-19_final.stac-item
2022-11-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-11-16_final.stac-item
2023-01-04 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-04_final.stac-item
2023-01-28 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-01-28_final
2023-02-07 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-07_final
2023-02-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-02-24_final
2023-03-29 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-03-29_final
2023-04-15 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-04-15_final
2023-05-21 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-05-21_final
2023-06-07 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-06-07_final
2023-07-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-17_final
2023-07-17 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-17_final
2023-07-24 11:37:32	ga_s2bm_ard_3-2-1_50HNG_2023-07-24_final
2023-10-02 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-02_final
2023-11-04 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-11-04_final
2023-12-04 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-12-04_final
2024-02-02 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2024-02-02_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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