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
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXT_2018-01-21_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUT_2018-03-05_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KVT_2018-03-22_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXU_2018-06-10_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLL_2018-07-16_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49KGP_2018-07-29_final.stac-item
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52JBP_2018-08-03_final.stac-item
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_52JFM_2018-10-26_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KUR_2018-10-28_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final.stac-item
2018-11-07 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2018-11-07_final.stac-item
2018-11-07 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2018-11-07_final.stac-item
2018-11-30 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2018-11-30_final.stac-item
2018-12-24 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2018-12-24_final.stac-item
2019-01-09 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-01-09_final.stac-item
2019-02-02 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2019-02-02_final.stac-item
2019-04-06 11:34:14	ga_s2bm_ard_3-2-1_51KWP_2019-04-06_final.stac-item
2019-04-15 12:05:26	ga_s2bm_ard_3-2-1_49JGL_2019-04-15_final.stac-item
2019-05-03 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2019-05-03_final.stac-item
2019-05-20 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-05-20_final.stac-item
2019-06-07 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-06-07_final.stac-item
2019-06-22 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-06-22_final.stac-item
2019-07-06 11:04:59	ga_s2bm_ard_3-2-1_52JDR_2019-07-06_final.stac-item
2019-07-13 10:55:40	ga_s2bm_ard_3-2-1_52JFN_2019-07-13_final.stac-item
2019-08-31 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2019-08-31_final.stac-item
2019-09-06 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2019-09-06_final.stac-item
2019-10-23 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-23_final.stac-item
2019-10-23 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-10-23_final.stac-item
2019-10-30 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2019-10-30_final.stac-item
2019-12-15 11:46:15	ga_s2bm_ard_3-2-1_50JML_2019-12-15_final.stac-item
2019-12-19 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2019-12-19_final.stac-item
2020-01-11 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2020-01-11_final.stac-item
2020-01-21 11:36:54	ga_s2bm_ard_3-2-1_51HTC_2020-01-21_final.stac-item
2020-01-31 11:33:49	ga_s2bm_ard_3-2-1_51KWQ_2020-01-31_final.stac-item
2020-02-03 11:41:26	ga_s2bm_ard_3-2-1_51LUE_2020-02-03_final.stac-item
2020-02-07 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2020-02-07_final.stac-item
2020-02-20 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2020-02-20_final.stac-item
2020-03-21 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2020-03-21_final.stac-item
2020-04-23 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2020-04-23_final.stac-item
2020-04-23 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-04-23_final.stac-item
2020-06-09 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-09_final.stac-item
2020-06-12 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-06-12_final.stac-item
2020-09-27 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-09-27_final.stac-item
2020-09-30 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-09-30_final.stac-item
2020-10-04 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2020-10-04_final.stac-item
2020-12-16 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2020-12-16_final.stac-item
2021-01-18 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-01-18_final.stac-item
2021-01-22 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2021-01-22_final.stac-item
2021-02-04 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-02-04_final.stac-item
2021-02-06 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-02-06_final.stac-item
2021-04-15 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2021-04-15_final.stac-item
2021-05-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-05-08_final.stac-item
2021-06-27 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-27_final.stac-item
2021-07-14 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2021-07-14_final.stac-item
2021-08-15 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-08-15_final.stac-item
2021-08-23 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-08-23_final.stac-item
2021-10-12 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-10-12_final.stac-item
2021-10-26 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2021-10-26_final.stac-item
2021-10-29 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2021-10-29_final.stac-item
2021-12-25 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2021-12-25_final.stac-item
2022-01-10 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2022-01-10_final.stac-item
2022-01-20 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2022-01-20_final.stac-item
2022-01-23 11:40:52	ga_s2bm_ard_3-2-1_51LWG_2022-01-23_final
2022-02-02 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2022-02-02_final.stac-item
2022-02-16 11:23:18	ga_s2bm_ard_3-2-1_51KYS_2022-02-16_final.stac-item
2022-03-04 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2022-03-04_final.stac-item
2022-03-05 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2022-03-05_final.stac-item
2022-03-30 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-03-30_final.stac-item
2022-04-04 11:13:37	ga_s2bm_ard_3-2-1_51KZR_2022-04-04_final.stac-item
2022-04-16 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2022-04-16_final.stac-item
2022-05-03 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2022-05-03_final.stac-item
2022-06-07 10:55:47	ga_s2bm_ard_3-2-1_52JFM_2022-06-07_final.stac-item
2022-07-13 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2022-07-13_final.stac-item
2022-08-27 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-08-27_final.stac-item
2022-10-11 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2022-10-11_final.stac-item
2022-10-17 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-10-17_final.stac-item
2022-10-24 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2022-10-24_final.stac-item
2022-12-09 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-12-09_final.stac-item
2022-12-16 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2022-12-16_final.stac-item
2023-01-02 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2023-01-02_final.stac-item
2023-01-15 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2023-01-15_final.stac-item
2023-01-25 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2023-01-25_final.stac-item
2023-04-24 12:04:37	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final
2023-05-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-05-08_final
2023-05-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-05-08_final
2023-05-25 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-05-25_final
2023-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-05-28_final
2023-06-07 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-06-07_final
2023-07-08 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2023-07-08_final
2023-07-21 11:24:43	ga_s2bm_ard_3-2-1_51JYM_2023-07-21_final
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-09-24_final
2023-09-28 11:56:25	ga_s2bm_ard_3-2-1_50JML_2023-09-28_final
2023-11-08 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-11-08_final
2023-11-14 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2023-11-14_final
2024-01-17 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2024-01-17_final
2024-01-27 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2024-01-27_final
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2024-01-29_final
2024-03-26 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2024-03-26_final
2024-04-02 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2024-04-02_final
2024-04-03 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2024-04-03_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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