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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVV_2017-07-18_final.stac-item
2017-10-01 10:52:59	ga_s2bm_ard_3-2-1_52KHU_2017-10-01_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51LUF_2017-11-25_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWQ_2017-12-22_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVB_2018-01-14_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52KED_2018-01-15_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPK_2018-02-10_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HLH_2018-02-13_final.stac-item
2018-03-06 11:07:03	ga_s2bm_ard_3-2-1_52LEJ_2018-03-06_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KVR_2018-04-14_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JLN_2018-05-30_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLM_2018-06-26_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNJ_2018-07-03_final.stac-item
2018-10-22 11:07:23	ga_s2bm_ard_3-2-1_52LFL_2018-10-22_final.stac-item
2018-10-29 11:01:40	ga_s2bm_ard_3-2-1_52KFB_2018-10-29_final.stac-item
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_52KCA_2018-11-04_final.stac-item
2018-11-07 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2018-11-07_final.stac-item
2018-11-11 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2018-11-11_final.stac-item
2018-11-24 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2018-11-24_final.stac-item
2018-12-04 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2018-12-04_final.stac-item
2018-12-07 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2018-12-07_final.stac-item
2018-12-07 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2018-12-07_final.stac-item
2018-12-17 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2018-12-17_final.stac-item
2018-12-17 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2018-12-17_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final.stac-item
2018-12-24 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2018-12-24_final.stac-item
2018-12-27 11:31:23	ga_s2bm_ard_3-2-1_51LYE_2018-12-27_final.stac-item
2018-12-27 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2018-12-27_final.stac-item
2018-12-27 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2018-12-27_final.stac-item
2019-01-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-19_final.stac-item
2019-01-19 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final.stac-item
2019-03-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-03-23_final.stac-item
2019-03-24 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2019-03-24_final.stac-item
2019-04-10 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2019-04-10_final.stac-item
2019-06-17 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final.stac-item
2019-08-01 11:23:11	ga_s2bm_ard_3-2-1_52KCC_2019-08-01_final.stac-item
2019-09-17 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2019-09-17_final.stac-item
2019-10-13 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2019-10-13_final.stac-item
2019-11-12 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-11-12_final.stac-item
2019-11-15 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2019-11-15_final.stac-item
2019-11-22 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2019-11-22_final.stac-item
2019-11-22 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2019-11-22_final.stac-item
2019-11-22 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2019-11-22_final.stac-item
2019-11-25 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2019-11-25_final.stac-item
2019-11-29 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2019-11-29_final.stac-item
2020-01-01 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-01-01_final.stac-item
2020-01-07 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2020-01-07_final.stac-item
2020-01-27 11:53:14	ga_s2bm_ard_3-2-1_50KPC_2020-01-27_final.stac-item
2020-02-27 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2020-02-27_final.stac-item
2020-05-17 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2020-05-17_final.stac-item
2020-05-30 11:32:46	ga_s2bm_ard_3-2-1_51KYV_2020-05-30_final.stac-item
2020-06-15 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-06-15_final.stac-item
2020-09-04 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-09-04_final.stac-item
2020-09-17 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-09-17_final.stac-item
2020-09-27 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-09-27_final.stac-item
2020-09-27 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2020-09-27_final.stac-item
2020-10-03 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2020-10-03_final
2020-10-20 11:45:28	ga_s2bm_ard_3-2-1_50JNQ_2020-10-20_final.stac-item
2020-11-03 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-11-03_final.stac-item
2020-11-09 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-11-09_final.stac-item
2020-12-09 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2020-12-09_final.stac-item
2021-01-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-01-01_final
2021-01-06 11:02:28	ga_s2bm_ard_3-2-1_52KGE_2021-01-06_final.stac-item
2021-01-15 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-01-15_final.stac-item
2021-03-13 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2021-03-13_final.stac-item
2021-04-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2021-04-08_final.stac-item
2021-04-16 11:03:30	ga_s2bm_ard_3-2-1_52KEA_2021-04-16_final.stac-item
2021-06-01 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-06-01_final
2021-07-07 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2021-07-07_final.stac-item
2021-07-14 11:34:51	ga_s2bm_ard_3-2-1_51JTM_2021-07-14_final.stac-item
2021-07-27 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2021-07-27_final
2021-11-14 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-11-14_final.stac-item
2021-12-27 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2021-12-27_final.stac-item
2022-01-04 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2022-01-04_final.stac-item
2022-01-20 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2022-01-20_final.stac-item
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final.stac-item
2022-04-19 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2022-04-19_final.stac-item
2022-06-30 11:05:13	ga_s2bm_ard_3-2-1_52JCQ_2022-06-30_final.stac-item
2022-07-29 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-29_final.stac-item
2022-12-06 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2022-12-06_final.stac-item
2022-12-16 11:32:50	ga_s2bm_ard_3-2-1_51KWU_2022-12-16_final.stac-item
2022-12-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-12-26_final.stac-item
2023-01-21 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-01-21_final.stac-item
2023-01-29 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2023-01-29_final.stac-item
2023-02-16 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2023-02-16_final
2023-02-27 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2023-02-27_final
2023-04-15 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-04-15_final
2023-05-01 11:53:55	ga_s2bm_ard_3-2-1_50KQA_2023-05-01_final
2023-06-17 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2023-06-17_final
2023-07-07 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-07-07_final
2023-08-04 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2023-08-04_final
2023-11-04 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-11-04_final
2023-11-04 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2023-11-04_final
2023-11-14 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2023-11-14_final
2023-11-18 11:21:54	ga_s2bm_ard_3-2-1_52LCH_2023-11-18_final
2023-12-24 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-12-24_final
2023-12-27 11:52:27	ga_s2bm_ard_3-2-1_50KQG_2023-12-27_final
2023-12-31 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2023-12-31_final
2024-02-13 11:12:55	ga_s2bm_ard_3-2-1_52KFC_2024-02-13_final
2024-02-20 11:03:23	ga_s2bm_ard_3-2-1_52KHA_2024-02-20_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

All years