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
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-15_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWB_2017-12-22_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HYE_2018-01-15_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50KKU_2018-03-01_final.stac-item
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KXU_2018-04-08_final.stac-item
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KXS_2018-04-21_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KYP_2018-06-07_final.stac-item
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51HUC_2018-06-07_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HUC_2018-06-10_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNJ_2018-06-23_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KYQ_2018-06-27_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KKB_2018-08-08_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51JUG_2018-08-26_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-09-11_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUR_2018-09-11_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JKT_2018-09-17_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_50KKA_2018-10-20_final.stac-item
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JVF_2018-11-04_final.stac-item
2018-12-03 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2018-12-03_final.stac-item
2018-12-03 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2018-12-03_final.stac-item
2018-12-10 11:42:15	ga_s2bm_ard_3-2-1_51KWA_2018-12-10_final.stac-item
2018-12-27 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2018-12-27_final.stac-item
2018-12-27 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-12-27_final.stac-item
2018-12-30 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2018-12-30_final.stac-item
2019-01-19 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-01-19_final.stac-item
2019-01-25 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-01-25_final.stac-item
2019-02-22 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2019-02-22_final.stac-item
2019-03-03 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2019-03-03_final.stac-item
2019-04-19 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2019-04-19_final.stac-item
2019-05-10 11:14:32	ga_s2bm_ard_3-2-1_51JZN_2019-05-10_final.stac-item
2019-05-19 11:43:44	ga_s2bm_ard_3-2-1_51KVR_2019-05-19_final.stac-item
2019-09-03 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2019-09-03_final.stac-item
2019-09-10 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2019-09-10_final.stac-item
2019-10-12 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2019-10-12_final.stac-item
2019-11-01 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2019-11-01_final.stac-item
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final.stac-item
2020-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KYQ_2020-02-17_final.stac-item
2020-03-04 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2020-03-04_final.stac-item
2020-05-30 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2020-05-30_final.stac-item
2020-06-25 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2020-06-25_final.stac-item
2020-07-02 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2020-07-02_final.stac-item
2020-07-08 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2020-07-08_final.stac-item
2020-07-19 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2020-07-19_final.stac-item
2020-08-18 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-08-18_final.stac-item
2020-08-28 11:34:32	ga_s2bm_ard_3-2-1_51JVN_2020-08-28_final.stac-item
2020-10-20 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-20_final.stac-item
2021-01-01 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-01-01_final.stac-item
2021-01-29 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-29_final
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-03-05_final.stac-item
2021-03-06 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-06_final.stac-item
2021-04-29 11:15:20	ga_s2bm_ard_3-2-1_51JYJ_2021-04-29_final.stac-item
2021-06-03 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-03_final.stac-item
2021-06-11 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2021-06-11_final.stac-item
2021-07-04 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2021-07-04_final.stac-item
2021-08-03 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-08-03_final.stac-item
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final.stac-item
2021-10-01 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-10-01_final.stac-item
2021-10-21 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-10-21_final.stac-item
2021-10-21 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-10-21_final.stac-item
2021-11-01 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2021-11-01_final.stac-item
2021-11-04 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2021-11-04_final.stac-item
2021-12-01 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2021-12-01_final.stac-item
2021-12-11 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2021-12-11_final.stac-item
2021-12-21 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2021-12-21_final.stac-item
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2021-12-30_final.stac-item
2022-01-13 11:44:59	ga_s2bm_ard_3-2-1_50JQR_2022-01-13_final.stac-item
2022-02-06 11:22:21	ga_s2bm_ard_3-2-1_51KYA_2022-02-06_final.stac-item
2022-02-08 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-02-08_final.stac-item
2022-02-09 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2022-02-09_final.stac-item
2022-05-03 11:46:21	ga_s2bm_ard_3-2-1_50JML_2022-05-03_final.stac-item
2022-05-17 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2022-05-17_final.stac-item
2022-06-06 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2022-06-06_final.stac-item
2022-06-06 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2022-06-06_final.stac-item
2022-06-08 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2022-06-08_final.stac-item
2022-06-22 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2022-06-22_final.stac-item
2022-07-22 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-22_final.stac-item
2022-08-15 11:23:03	ga_s2bm_ard_3-2-1_51KXU_2022-08-15_final.stac-item
2022-09-10 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2022-09-10_final.stac-item
2022-09-10 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2022-09-10_final.stac-item
2022-09-13 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2022-09-13_final.stac-item
2022-09-24 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2022-09-24_final.stac-item
2022-10-31 11:15:52	ga_s2bm_ard_3-2-1_51JYG_2022-10-31_final.stac-item
2022-12-06 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2022-12-06_final.stac-item
2022-12-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-12-26_final.stac-item
2023-01-05 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2023-01-05_final.stac-item
2023-01-11 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2023-01-11_final.stac-item
2023-01-12 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2023-01-12_final.stac-item
2023-01-18 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-18_final.stac-item
2023-01-28 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2023-01-28_final.stac-item
2023-04-25 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2023-04-25_final
2023-06-28 11:15:00	ga_s2bm_ard_3-2-1_51JYL_2023-06-28_final
2023-07-23 12:06:01	ga_s2bm_ard_3-2-1_50JKN_2023-07-23_final
2023-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2023-10-08_final
2023-11-01 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-11-01_final
2023-12-21 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-12-21_final
2024-01-03 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2024-01-03_final
2024-02-26 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2024-02-26_final
2024-02-29 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2024-02-29_final
2024-03-29 12:04:13	ga_s2bm_ard_3-2-1_50KKV_2024-03-29_final
2024-04-12 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-04-12_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

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