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
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HUE_2017-08-21_final.stac-item
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_51KZP_2017-09-27_final.stac-item
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JVK_2017-11-09_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51HTE_2017-11-12_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HMH_2017-11-18_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51LZC_2018-01-08_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXP_2018-01-11_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JWN_2018-01-31_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXS_2018-01-31_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-04-10_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQN_2018-07-03_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JWH_2018-07-07_final.stac-item
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_51HWE_2018-07-14_final.stac-item
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-07-22_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51HTE_2018-10-08_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_51HYD_2018-10-12_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVT_2018-10-18_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KWB_2018-10-21_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HPJ_2018-10-21_final.stac-item
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_51HYE_2018-11-01_final.stac-item
2018-11-10 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2018-11-10_final.stac-item
2018-11-11 11:15:27	ga_s2bm_ard_3-2-1_51JXJ_2018-11-11_final.stac-item
2018-12-17 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2018-12-17_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_51JTN_2018-12-20_final.stac-item
2019-01-22 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-01-22_final.stac-item
2019-04-03 11:26:25	ga_s2bm_ard_3-2-1_51HXE_2019-04-03_final.stac-item
2019-05-23 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-05-23_final.stac-item
2019-06-11 11:54:55	ga_s2bm_ard_3-2-1_50JPS_2019-06-11_final.stac-item
2019-06-15 11:34:13	ga_s2bm_ard_3-2-1_51KXP_2019-06-15_final.stac-item
2019-07-21 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-07-21_final.stac-item
2019-08-23 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2019-08-23_final.stac-item
2019-08-28 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2019-08-28_final.stac-item
2019-09-23 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-09-23_final.stac-item
2020-02-07 11:24:24	ga_s2bm_ard_3-2-1_51JWN_2020-02-07_final.stac-item
2020-02-11 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2020-02-11_final.stac-item
2020-02-13 11:43:21	ga_s2bm_ard_3-2-1_51KUS_2020-02-13_final.stac-item
2020-03-18 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2020-03-18_final.stac-item
2020-03-21 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2020-03-21_final.stac-item
2020-05-17 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2020-05-17_final.stac-item
2020-09-17 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2020-09-17_final.stac-item
2020-10-13 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-10-13_final.stac-item
2020-11-16 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2020-11-16_final.stac-item
2020-11-23 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2020-11-23_final.stac-item
2020-12-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2020-12-06_final.stac-item
2021-01-02 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2021-01-02_final.stac-item
2021-02-10 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-02-10_final.stac-item
2021-03-06 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2021-03-06_final.stac-item
2021-04-05 11:32:23	ga_s2bm_ard_3-2-1_51KXA_2021-04-05_final.stac-item
2021-04-08 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2021-04-08_final.stac-item
2021-04-24 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2021-04-24_final.stac-item
2021-05-04 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2021-05-04_final.stac-item
2021-05-05 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2021-05-05_final.stac-item
2021-05-31 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-05-31_final.stac-item
2021-06-01 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-06-01_final.stac-item
2021-06-08 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2021-06-08_final.stac-item
2021-07-14 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2021-07-14_final.stac-item
2021-07-30 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2021-07-30_final.stac-item
2021-09-01 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-09-01_final.stac-item
2021-09-13 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2021-09-13_final.stac-item
2021-10-09 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2021-10-09_final.stac-item
2021-11-04 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2021-11-04_final.stac-item
2021-11-25 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2021-11-25_final.stac-item
2022-01-09 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-01-09_final.stac-item
2022-03-30 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2022-03-30_final.stac-item
2022-05-07 11:22:20	ga_s2bm_ard_3-2-1_51KZA_2022-05-07_final.stac-item
2022-05-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-05-09_final.stac-item
2022-06-02 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-06-02_final.stac-item
2022-06-08 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2022-06-08_final.stac-item
2022-08-01 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-08-01_final.stac-item
2022-08-01 11:44:42	ga_s2bm_ard_3-2-1_50JPT_2022-08-01_final.stac-item
2022-08-02 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2022-08-02_final.stac-item
2022-09-13 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2022-09-13_final.stac-item
2022-09-30 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2022-09-30_final.stac-item
2022-11-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-11-09_final.stac-item
2022-11-19 13:21:45	ga_s2bm_ard_3-2-1_46LHM_2022-11-19_interim
2022-11-26 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2022-11-26_final.stac-item
2022-12-02 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-12-02_final.stac-item
2023-01-05 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2023-01-05_final.stac-item
2023-02-04 11:31:03	ga_s2bm_ard_3-2-1_51LZF_2023-02-04_nrt.stac-item
2023-03-29 11:44:44	ga_s2bm_ard_3-2-1_51JUM_2023-03-29_final
2023-04-24 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-04-24_final
2023-05-04 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-05-04_final
2023-05-21 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-05-21_nrt
2023-05-24 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-05-24_final
2023-05-29 11:16:06	ga_s2bm_ard_3-2-1_52JCL_2023-05-29_final
2023-06-20 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-06-20_final
2023-06-21 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2023-06-21_final
2023-07-08 12:51:05	ga_s2bm_ard_3-2-1_48LWP_2023-07-08_final
2023-07-30 11:57:20	ga_s2bm_ard_3-2-1_49HGC_2023-07-30_nrt
2023-08-16 11:46:28	ga_s2bm_ard_3-2-1_50JNL_2023-08-16_final
2023-09-22 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2023-09-22_final
2023-11-11 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-11-11_final
2023-11-11 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-11-11_final
2023-12-07 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2023-12-07_final
2024-01-23 11:42:25	ga_s2bm_ard_3-2-1_51KUA_2024-01-23_final
2024-01-23 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2024-01-23_final
2024-01-23 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2024-01-23_final
2024-02-09 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2024-02-09_final
2024-02-19 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2024-02-19_final
2024-05-28 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2024-05-28_nrt

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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