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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JUG_2017-08-14_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KXQ_2017-12-12_final.stac-item
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52JBT_2017-12-26_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPV_2018-01-17_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYT_2018-01-28_final.stac-item
2018-01-30 10:23:21	ga_s2bm_ard_3-2-1_53HPE_2018-01-30_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXS_2018-01-31_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HMJ_2018-06-26_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HTD_2018-10-18_final.stac-item
2018-12-01 11:13:03	ga_s2bm_ard_3-2-1_52KCC_2018-12-01_final.stac-item
2019-03-02 10:44:15	ga_s2bm_ard_3-2-1_53JPM_2019-03-02_final.stac-item
2019-03-20 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-03-20_final.stac-item
2019-04-27 11:03:38	ga_s2bm_ard_3-2-1_52KFA_2019-04-27_final.stac-item
2019-04-30 11:12:57	ga_s2bm_ard_3-2-1_52KDD_2019-04-30_final.stac-item
2019-09-03 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2019-09-03_final.stac-item
2019-09-23 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2019-09-23_final.stac-item
2019-10-20 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2019-10-20_final.stac-item
2019-10-20 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2019-10-20_final.stac-item
2019-11-24 12:15:17	ga_s2bm_ard_3-2-1_49JGK_2019-11-24_final.stac-item
2019-11-29 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2019-11-29_final.stac-item
2019-12-19 11:23:11	ga_s2bm_ard_3-2-1_52KCB_2019-12-19_final.stac-item
2020-01-11 11:34:26	ga_s2bm_ard_3-2-1_51JUN_2020-01-11_final.stac-item
2020-01-18 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2020-01-18_final.stac-item
2020-01-22 11:01:36	ga_s2bm_ard_3-2-1_52LHH_2020-01-22_final.stac-item
2020-02-07 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2020-02-07_final.stac-item
2020-04-13 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2020-04-13_final.stac-item
2020-04-13 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2020-04-13_final.stac-item
2020-04-14 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2020-04-14_final.stac-item
2020-05-09 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-05-09_final.stac-item
2020-05-11 11:04:49	ga_s2bm_ard_3-2-1_52JDR_2020-05-11_final.stac-item
2020-06-22 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-06-22_final.stac-item
2020-08-04 11:55:27	ga_s2bm_ard_3-2-1_50JMQ_2020-08-04_final.stac-item
2020-08-04 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-08-04_final.stac-item
2020-08-07 10:26:39	ga_s2bm_ard_3-2-1_53HPC_2020-08-07_final.stac-item
2020-09-20 11:45:42	ga_s2bm_ard_3-2-1_51JTH_2020-09-20_final.stac-item
2020-10-30 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2020-10-30_final.stac-item
2020-11-18 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-11-18_final.stac-item
2021-01-06 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2021-01-06_final.stac-item
2021-02-03 12:03:51	ga_s2bm_ard_3-2-1_50KMA_2021-02-03_final.stac-item
2021-02-08 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2021-02-08_final.stac-item
2021-02-11 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2021-02-11_final.stac-item
2021-03-14 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2021-03-14_final.stac-item
2021-03-17 11:02:54	ga_s2bm_ard_3-2-1_52KHC_2021-03-17_final.stac-item
2021-03-19 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2021-03-19_final.stac-item
2021-05-05 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-05-05_final.stac-item
2021-05-14 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-05-14_final.stac-item
2021-06-03 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-06-03_final.stac-item
2021-06-10 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-06-10_final.stac-item
2021-06-21 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2021-06-21_final.stac-item
2021-08-05 10:36:51	ga_s2bm_ard_3-2-1_53HNB_2021-08-05_final.stac-item
2021-10-21 10:26:52	ga_s2bm_ard_3-2-1_53HPB_2021-10-21_final.stac-item
2021-10-21 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-10-21_final.stac-item
2021-10-22 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2021-10-22_final.stac-item
2021-11-08 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2021-11-08_final.stac-item
2021-11-09 10:52:59	ga_s2bm_ard_3-2-1_52KHC_2021-11-09_final.stac-item
2021-12-03 10:36:31	ga_s2bm_ard_3-2-1_53HNC_2021-12-03_final.stac-item
2021-12-13 10:34:01	ga_s2bm_ard_3-2-1_53JPN_2021-12-13_final.stac-item
2021-12-16 10:45:51	ga_s2bm_ard_3-2-1_52JGL_2021-12-16_final.stac-item
2022-01-27 11:21:32	ga_s2bm_ard_3-2-1_52LBJ_2022-01-27_final.stac-item
2022-01-30 11:31:36	ga_s2bm_ard_3-2-1_51LXD_2022-01-30_final.stac-item
2022-01-31 11:03:07	ga_s2bm_ard_3-2-1_52KGB_2022-01-31_final.stac-item
2022-03-08 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2022-03-08_final.stac-item
2022-03-18 11:22:10	ga_s2bm_ard_3-2-1_51KYB_2022-03-18_final.stac-item
2022-05-13 11:44:00	ga_s2bm_ard_3-2-1_51KTQ_2022-05-13_final.stac-item
2022-05-22 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2022-05-22_final.stac-item
2022-05-31 11:05:34	ga_s2bm_ard_3-2-1_52JDN_2022-05-31_final.stac-item
2022-06-09 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2022-06-09_final.stac-item
2022-07-11 10:34:41	ga_s2bm_ard_3-2-1_53JPL_2022-07-11_final.stac-item
2022-07-12 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2022-07-12_final.stac-item
2022-09-01 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2022-09-01_final.stac-item
2022-10-02 10:46:08	ga_s2bm_ard_3-2-1_53HLE_2022-10-02_final.stac-item
2022-10-20 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-10-20_final.stac-item
2022-11-08 10:36:23	ga_s2bm_ard_3-2-1_53HMD_2022-11-08_final.stac-item
2022-11-13 11:26:25	ga_s2bm_ard_3-2-1_51HWE_2022-11-13_final.stac-item
2022-11-23 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-11-23_final.stac-item
2022-11-26 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2022-11-26_final.stac-item
2022-12-28 10:35:42	ga_s2bm_ard_3-2-1_53JMG_2022-12-28_final.stac-item
2022-12-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-12-29_final.stac-item
2023-01-01 13:31:38	ga_s2bm_ard_3-2-1_46LHM_2023-01-01_interim
2023-02-03 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2023-02-03_final.stac-item
2023-02-11 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2023-02-11_nrt.stac-item
2023-02-24 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2023-02-24_final
2023-02-28 11:11:45	ga_s2bm_ard_3-2-1_52LFH_2023-02-28_final
2023-04-25 11:35:35	ga_s2bm_ard_3-2-1_51JTJ_2023-04-25_final
2023-05-01 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-05-01_final
2023-06-21 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-21_final
2023-06-26 10:35:10	ga_s2bm_ard_3-2-1_53JPJ_2023-06-26_final
2023-07-19 10:44:08	ga_s2bm_ard_3-2-1_53JPN_2023-07-19_final
2023-07-20 11:57:20	ga_s2bm_ard_3-2-1_49HGC_2023-07-20_nrt
2023-08-03 11:34:33	ga_s2bm_ard_3-2-1_51JVN_2023-08-03_final
2023-08-03 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-08-03_final
2023-09-06 12:51:04	ga_s2bm_ard_3-2-1_48LWP_2023-09-06_final
2023-10-24 10:36:51	ga_s2bm_ard_3-2-1_53HNB_2023-10-24_final
2023-11-11 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2023-11-11_final
2023-12-12 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2023-12-12_final
2024-01-01 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2024-01-01_final
2024-01-20 11:31:05	ga_s2bm_ard_3-2-1_51LZF_2024-01-20_nrt
2024-01-20 11:31:59	ga_s2bm_ard_3-2-1_51LWC_2024-01-20_final
2024-03-07 11:26:24	ga_s2bm_ard_3-2-1_51HVE_2024-03-07_final
2024-03-24 11:12:29	ga_s2bm_ard_3-2-1_52KFE_2024-03-24_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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