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
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_49KHR_2017-08-16_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HNH_2017-11-15_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLH_2017-12-28_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HLH_2018-02-16_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPK_2018-02-23_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHQ_2018-03-11_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGM_2018-03-24_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2018-04-07_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KGP_2018-06-19_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNJ_2018-06-23_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-08-29_final.stac-item
2018-12-07 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2018-12-07_final.stac-item
2018-12-19 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2018-12-19_final.stac-item
2019-01-08 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2019-01-08_final.stac-item
2019-03-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-03-26_final.stac-item
2019-04-22 11:56:36	ga_s2bm_ard_3-2-1_50HNK_2019-04-22_final.stac-item
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final.stac-item
2019-07-01 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-07-01_final.stac-item
2019-08-13 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-08-13_final.stac-item
2019-09-19 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2019-09-19_final.stac-item
2019-10-02 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-10-02_final.stac-item
2019-10-22 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-22_final.stac-item
2019-12-08 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-08_final.stac-item
2019-12-22 11:36:42	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final.stac-item
2019-12-31 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-31_final.stac-item
2020-01-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2020-01-13_final.stac-item
2020-01-31 11:36:59	ga_s2bm_ard_3-2-1_50HPH_2020-01-31_final.stac-item
2020-05-06 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-05-06_final.stac-item
2020-05-06 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-05-06_final.stac-item
2020-08-21 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-08-21_final.stac-item
2020-09-07 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-09-07_final.stac-item
2020-10-16 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-16_final.stac-item
2020-10-20 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-20_final.stac-item
2020-11-15 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2020-11-15_final.stac-item
2020-12-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-08_final.stac-item
2020-12-09 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-09_final.stac-item
2020-12-16 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2020-12-16_final.stac-item
2020-12-28 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-28_final.stac-item
2021-01-14 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-01-14_final.stac-item
2021-01-17 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-01-17_final.stac-item
2021-01-25 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-01-25_final.stac-item
2021-02-06 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-02-06_final.stac-item
2021-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-02-14_final.stac-item
2021-03-02 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-02_final.stac-item
2021-03-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-15_final.stac-item
2021-04-15 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-04-15_final.stac-item
2021-05-08 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2021-05-08_final.stac-item
2021-06-16 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-06-16_final.stac-item
2021-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-17_final.stac-item
2021-06-17 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-17_final.stac-item
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final.stac-item
2021-06-30 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-06-30_final.stac-item
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final
2021-08-13 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-08-13_final.stac-item
2021-09-01 12:04:38	ga_s2bm_ard_3-2-1_49JHN_2021-09-01_final.stac-item
2021-09-15 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2021-09-15_final.stac-item
2021-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-09-15_final.stac-item
2021-09-18 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2021-09-18_final.stac-item
2021-10-14 12:14:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-14_final.stac-item
2021-12-01 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2021-12-01_final.stac-item
2021-12-04 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-12-04_final.stac-item
2021-12-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2021-12-17_final.stac-item
2022-01-16 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-16_final.stac-item
2022-01-19 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-19_final.stac-item
2022-02-05 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2022-02-05_final.stac-item
2022-02-11 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-11_final.stac-item
2022-04-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2022-04-03_final.stac-item
2022-05-03 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-05-03_final.stac-item
2022-05-13 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-05-13_final.stac-item
2022-07-09 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-07-09_final.stac-item
2022-07-11 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2022-07-11_final.stac-item
2022-08-31 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-31_final.stac-item
2022-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-11-28 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-11-28_final.stac-item
2022-12-09 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2022-12-09_final.stac-item
2023-01-14 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2023-01-14_final.stac-item
2023-01-18 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-01-18_final.stac-item
2023-01-21 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-21_final.stac-item
2023-01-27 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-27_final.stac-item
2023-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-02-17_final
2023-02-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-02-24_final
2023-02-27 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-02-27_final
2023-05-14 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-05-14_final
2023-05-25 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-05-25_final
2023-06-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-06-17_final
2023-06-17 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2023-06-17_final
2023-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-06-20_final
2023-07-04 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2023-07-04_final
2023-07-13 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-07-13_final
2023-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-27_final
2023-08-22 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-08-22_final
2023-10-08 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2023-10-08_final
2023-11-01 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-11-01_final
2023-12-17 11:57:19	ga_s2bm_ard_3-2-1_50HMG_2023-12-17_final
2023-12-20 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2023-12-20_final
2023-12-20 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-12-20_final
2024-01-29 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2024-01-29_final
2024-03-09 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2024-03-09_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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