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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXU_2017-11-12_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KXR_2018-05-08_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXS_2018-05-11_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXQ_2018-07-20_final.stac-item
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52KEB_2018-09-19_final.stac-item
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52KHC_2018-09-19_final.stac-item
2018-09-22 11:07:09	ga_s2bm_ard_3-2-1_52LFH_2018-09-22_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JCM_2018-09-22_final.stac-item
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52KEA_2018-09-22_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52KFD_2018-10-09_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KFF_2018-10-12_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KFG_2018-10-12_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUT_2018-10-31_final.stac-item
2018-11-07 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2018-11-07_final.stac-item
2018-11-08 11:02:23	ga_s2bm_ard_3-2-1_52KHE_2018-11-08_final.stac-item
2018-11-08 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2018-11-08_final.stac-item
2018-11-14 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2018-11-14_final.stac-item
2018-11-14 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2018-11-14_final.stac-item
2018-11-20 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2018-11-20_final.stac-item
2018-11-30 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2018-11-30_final.stac-item
2018-12-24 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2018-12-24_final.stac-item
2019-01-26 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2019-01-26_final.stac-item
2019-06-22 11:24:05	ga_s2bm_ard_3-2-1_51KXQ_2019-06-22_final.stac-item
2019-07-05 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-07-05_final.stac-item
2019-09-17 11:12:42	ga_s2bm_ard_3-2-1_52KFD_2019-09-17_final.stac-item
2019-09-20 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-09-20_final.stac-item
2019-09-27 11:12:54	ga_s2bm_ard_3-2-1_52KFC_2019-09-27_final.stac-item
2019-09-30 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2019-09-30_final.stac-item
2019-09-30 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-09-30_final.stac-item
2019-11-02 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-11-02_final.stac-item
2019-11-06 11:11:50	ga_s2bm_ard_3-2-1_52KGG_2019-11-06_final.stac-item
2019-11-12 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2019-11-12_final.stac-item
2019-11-12 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-11-12_final.stac-item
2019-11-16 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2019-11-16_final.stac-item
2019-11-22 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2019-11-22_final.stac-item
2019-11-29 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2019-11-29_final.stac-item
2019-12-02 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2019-12-02_final.stac-item
2019-12-06 11:12:58	ga_s2bm_ard_3-2-1_52KDC_2019-12-06_final.stac-item
2019-12-09 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2019-12-09_final.stac-item
2019-12-13 11:03:14	ga_s2bm_ard_3-2-1_52KEB_2019-12-13_final.stac-item
2019-12-25 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2019-12-25_final.stac-item
2020-01-25 11:11:33	ga_s2bm_ard_3-2-1_52LGH_2020-01-25_final.stac-item
2020-01-31 11:33:16	ga_s2bm_ard_3-2-1_51KXS_2020-01-31_final.stac-item
2020-02-01 11:03:38	ga_s2bm_ard_3-2-1_52KFV_2020-02-01_final.stac-item
2020-02-01 11:04:22	ga_s2bm_ard_3-2-1_52JFS_2020-02-01_final.stac-item
2020-02-01 11:05:45	ga_s2bm_ard_3-2-1_52JCM_2020-02-01_final.stac-item
2020-04-20 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2020-04-20_final.stac-item
2020-05-10 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2020-05-10_final.stac-item
2020-06-03 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2020-06-03_final.stac-item
2020-07-23 11:13:10	ga_s2bm_ard_3-2-1_52KEC_2020-07-23_final.stac-item
2020-08-31 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2020-08-31_final.stac-item
2020-09-01 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2020-09-01_final.stac-item
2020-09-15 10:52:33	ga_s2bm_ard_3-2-1_52KHE_2020-09-15_final.stac-item
2020-09-21 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2020-09-21_final.stac-item
2020-09-27 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2020-09-27_final.stac-item
2020-10-01 11:12:57	ga_s2bm_ard_3-2-1_52KFC_2020-10-01_final.stac-item
2020-10-04 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-10-04_final.stac-item
2020-10-04 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2020-10-04_final.stac-item
2020-10-27 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-10-27_final.stac-item
2020-11-16 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-11-16_final.stac-item
2020-12-16 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2020-12-16_final.stac-item
2021-02-24 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-02-24_final.stac-item
2021-03-20 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2021-03-20_final.stac-item
2021-08-26 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-08-26_final.stac-item
2021-10-10 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2021-10-10_final.stac-item
2021-10-22 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-10-22_final.stac-item
2021-11-02 11:02:21	ga_s2bm_ard_3-2-1_52KHF_2021-11-02_final.stac-item
2021-11-09 10:53:44	ga_s2bm_ard_3-2-1_52KGV_2021-11-09_final.stac-item
2021-11-21 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2021-11-21_final.stac-item
2021-12-01 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-12-01_final.stac-item
2021-12-21 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2021-12-21_final.stac-item
2022-01-30 11:36:28	ga_s2bm_ard_3-2-1_51HVD_2022-01-30_final.stac-item
2022-02-09 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-09_final.stac-item
2022-03-07 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2022-03-07_final
2022-03-09 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2022-03-09_final.stac-item
2022-03-18 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2022-03-18_final.stac-item
2022-04-27 11:23:21	ga_s2bm_ard_3-2-1_51KXS_2022-04-27_final.stac-item
2022-04-30 11:32:19	ga_s2bm_ard_3-2-1_51KXA_2022-04-30_final.stac-item
2022-04-30 11:32:22	ga_s2bm_ard_3-2-1_51KWA_2022-04-30_final.stac-item
2022-06-16 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2022-06-16_final.stac-item
2022-07-29 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-29_final.stac-item
2022-07-29 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2022-07-29_final.stac-item
2022-09-20 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2022-09-20_final.stac-item
2022-11-17 11:02:15	ga_s2bm_ard_3-2-1_52KGF_2022-11-17_final.stac-item
2022-12-07 11:03:08	ga_s2bm_ard_3-2-1_52KEB_2022-12-07_final.stac-item
2023-01-08 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-08_final.stac-item
2023-01-26 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2023-01-26_final.stac-item
2023-04-06 11:03:36	ga_s2bm_ard_3-2-1_52KHV_2023-04-06_final
2023-08-13 11:33:29	ga_s2bm_ard_3-2-1_51KXS_2023-08-13_final
2023-09-02 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2023-09-02_final
2023-11-04 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-11-04_final
2023-11-09 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2023-11-09_final
2023-11-11 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-11-11_final
2023-12-01 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2023-12-01_final
2023-12-20 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-12-20_final
2023-12-31 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-12-31_final
2024-01-10 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2024-01-10_final
2024-01-24 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2024-01-24_final
2024-01-27 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-01-27_final
2024-02-04 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2024-02-04_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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