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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_50KKA_2017-09-15_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50JRT_2017-11-05_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KNA_2017-11-21_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-11-24_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JQT_2017-11-28_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JPS_2017-12-08_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGR_2017-12-14_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNT_2017-12-18_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_50KKB_2018-01-13_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-02-06_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMH_2018-02-16_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JRT_2018-03-05_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JRT_2018-03-15_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JKP_2018-05-07_final.stac-item
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKN_2018-05-10_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGJ_2018-05-30_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-06-19_final.stac-item
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final.stac-item
2018-12-09 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2018-12-09_final.stac-item
2018-12-09 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2018-12-09_final.stac-item
2018-12-13 11:54:27	ga_s2bm_ard_3-2-1_50JPT_2018-12-13_final.stac-item
2018-12-16 12:04:15	ga_s2bm_ard_3-2-1_50KMU_2018-12-16_final.stac-item
2018-12-26 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2018-12-26_final.stac-item
2019-01-02 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2019-01-02_final.stac-item
2019-01-05 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2019-01-05_final.stac-item
2019-01-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-01-08_final.stac-item
2019-01-09 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2019-01-09_final.stac-item
2019-01-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-25_final.stac-item
2019-02-11 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-11_final.stac-item
2019-02-11 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-02-11_final.stac-item
2019-04-16 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2019-04-16_final.stac-item
2019-06-08 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-06-08_final.stac-item
2019-06-14 12:06:03	ga_s2bm_ard_3-2-1_50JKN_2019-06-14_final.stac-item
2019-07-05 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-07-05_final.stac-item
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final.stac-item
2019-11-24 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2019-11-24_final.stac-item
2019-11-24 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2019-11-24_final.stac-item
2019-12-18 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2019-12-18_final.stac-item
2019-12-21 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-21_final.stac-item
2019-12-28 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2019-12-28_final.stac-item
2020-01-07 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2020-01-07_final.stac-item
2020-02-09 12:03:32	ga_s2bm_ard_3-2-1_50KMB_2020-02-09_final.stac-item
2020-05-20 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2020-05-20_final.stac-item
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final.stac-item
2020-09-26 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-26_final.stac-item
2020-09-30 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2020-09-30_final.stac-item
2020-11-08 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-11-08_final.stac-item
2020-11-09 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2020-11-09_final.stac-item
2020-11-18 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final.stac-item
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final.stac-item
2020-11-29 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2020-11-29_final.stac-item
2020-12-08 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2020-12-08_final.stac-item
2020-12-19 11:44:30	ga_s2bm_ard_3-2-1_50JQT_2020-12-19_final.stac-item
2020-12-22 11:54:20	ga_s2bm_ard_3-2-1_50JQT_2020-12-22_final.stac-item
2020-12-25 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2020-12-25_final.stac-item
2020-12-28 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-12-28_final.stac-item
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-26_final.stac-item
2021-02-27 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2021-02-27_final.stac-item
2021-03-02 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-03-02_final.stac-item
2021-06-30 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2021-06-30_final.stac-item
2021-06-30 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2021-06-30_final.stac-item
2021-07-06 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-06_final.stac-item
2021-07-07 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-07_final.stac-item
2021-07-17 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-17_final.stac-item
2021-08-29 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2021-08-29_final.stac-item
2021-10-08 11:53:53	ga_s2bm_ard_3-2-1_50KMA_2021-10-08_final.stac-item
2021-10-14 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-10-14_final.stac-item
2021-11-14 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2021-11-14_final.stac-item
2021-11-14 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-11-14_final
2021-11-17 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2021-11-17_final.stac-item
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final.stac-item
2022-02-18 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-02-18_final.stac-item
2022-02-25 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2022-02-25_final.stac-item
2022-04-20 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2022-04-20_final.stac-item
2022-08-17 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2022-08-17_final.stac-item
2022-09-06 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-06_final.stac-item
2022-12-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-12-25_final.stac-item
2023-01-21 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2023-01-21_final.stac-item
2023-02-14 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-02-14_final
2023-03-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-03-08_final
2023-03-16 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2023-03-16_final
2023-04-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-04-05_final
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final
2023-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-17_final
2023-08-03 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-08-03_final
2023-08-03 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-08-03_final
2023-08-03 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2023-08-03_final
2023-09-24 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2023-09-24_final
2023-10-12 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-10-12_final
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-11-10_final
2023-11-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-17_final
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2023-11-30_final
2023-12-24 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-12-24_final
2023-12-24 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-24_final
2024-01-06 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2024-01-06_final
2024-02-12 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-02-12_final
2024-03-06 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2024-03-06_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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