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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HMJ_2017-07-18_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50HLK_2017-07-31_final.stac-item
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLN_2017-11-18_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-12-15_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-21_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLH_2017-12-25_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50JKP_2017-12-31_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPJ_2018-01-14_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-30_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50JML_2018-02-13_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLN_2018-02-16_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JLP_2018-03-21_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-03-24_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGK_2018-03-31_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JML_2018-04-14_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKT_2018-04-20_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMJ_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
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPH_2018-06-23_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HNK_2018-07-06_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGM_2018-07-09_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50JKN_2018-07-19_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JLN_2018-08-08_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JKN_2018-08-15_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLL_2018-09-14_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50HPK_2018-10-31_final.stac-item
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final.stac-item
2019-01-12 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2019-01-12_final.stac-item
2019-01-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-01-22_final.stac-item
2019-01-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-28_final.stac-item
2019-04-12 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2019-04-12_final.stac-item
2019-04-19 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2019-04-19_final.stac-item
2019-04-22 11:56:36	ga_s2bm_ard_3-2-1_50HNK_2019-04-22_final.stac-item
2019-05-02 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-05-02_final.stac-item
2019-05-05 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-05_final.stac-item
2019-05-25 12:06:00	ga_s2bm_ard_3-2-1_50JLN_2019-05-25_final.stac-item
2019-05-26 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-26_final.stac-item
2019-06-11 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-06-11_final.stac-item
2019-08-30 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2019-08-30_final.stac-item
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final.stac-item
2020-01-10 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-01-10_final.stac-item
2020-04-23 11:46:20	ga_s2bm_ard_3-2-1_50JML_2020-04-23_final.stac-item
2020-04-23 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-04-23_final.stac-item
2020-05-20 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2020-05-20_final.stac-item
2020-05-29 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-05-29_final.stac-item
2020-06-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-06-05_final.stac-item
2020-08-10 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-08-10_final.stac-item
2020-08-27 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final.stac-item
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final.stac-item
2020-10-23 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-23_final.stac-item
2020-11-02 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2020-11-02_final.stac-item
2021-01-08 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-01-08_final
2021-02-03 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2021-02-03_final.stac-item
2021-03-02 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-03-02_final.stac-item
2021-03-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-09_final.stac-item
2021-04-01 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-04-01_final.stac-item
2021-04-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-04-04_final.stac-item
2021-04-28 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-04-28_final.stac-item
2021-05-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-05-14_final.stac-item
2021-06-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-06-13_final.stac-item
2021-06-13 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-13_final.stac-item
2021-07-03 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-07-03_final.stac-item
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-10 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-10_final.stac-item
2021-08-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-08-19_final.stac-item
2021-08-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-08-22_final.stac-item
2021-08-22 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-08-22_final.stac-item
2021-10-12 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-12_final.stac-item
2021-11-14 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-11-14_final.stac-item
2021-12-01 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2021-12-01_final.stac-item
2021-12-20 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-20_final.stac-item
2022-03-17 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-03-17_final.stac-item
2022-03-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-03-30_final.stac-item
2022-03-30 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-03-30_final.stac-item
2022-04-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-04-02_final.stac-item
2022-04-26 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-04-26_final.stac-item
2022-09-06 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-06_final.stac-item
2022-10-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-10-10_final.stac-item
2022-11-05 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-11-05_final.stac-item
2023-01-01 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2023-01-01_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-14 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2023-01-14_final
2023-01-24 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2023-01-24_final.stac-item
2023-02-03 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-02-03_final.stac-item
2023-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-16_final
2023-03-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-03-09_final
2023-03-15 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-03-15_final
2023-04-05 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-04-05_final
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final
2023-05-11 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-05-11_final
2023-06-23 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-06-23_final
2023-08-12 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-08-12_final
2023-09-05 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-09-05_final
2023-10-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final
2023-10-02 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-02_final
2023-11-20 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-11-20_final
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final
2024-05-05 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2024-05-05_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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