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
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KWA_2017-07-05_final.stac-item
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KWT_2017-07-05_final.stac-item
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KUV_2017-07-18_final.stac-item
2017-07-27 12:13:43	ga_s2bm_ard_3-2-1_49KHR_2017-07-27_final.stac-item
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHR_2017-09-15_final.stac-item
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51HUE_2017-11-09_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-25_final.stac-item
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_52JGM_2017-12-30_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HQJ_2018-01-11_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51LXC_2018-01-21_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KKV_2018-01-30_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGM_2018-03-24_final.stac-item
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51HYE_2018-04-15_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KBB_2018-04-28_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLK_2018-07-26_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51HUD_2018-08-19_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KYS_2018-09-05_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLQ_2018-10-04_final.stac-item
2018-11-16 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2018-11-16_final.stac-item
2019-03-30 11:43:38	ga_s2bm_ard_3-2-1_51KVR_2019-03-30_final.stac-item
2019-04-15 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-04-15_final.stac-item
2019-05-16 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-05-16_final.stac-item
2019-05-19 11:46:42	ga_s2bm_ard_3-2-1_50HPK_2019-05-19_final.stac-item
2019-05-25 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-25_final.stac-item
2019-06-08 11:46:34	ga_s2bm_ard_3-2-1_50JML_2019-06-08_final.stac-item
2019-07-08 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-07-08_final.stac-item
2019-07-15 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2019-07-15_final.stac-item
2019-08-04 11:36:27	ga_s2bm_ard_3-2-1_50JQL_2019-08-04_final.stac-item
2019-09-22 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2019-09-22_final.stac-item
2019-09-23 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2019-09-23_final.stac-item
2019-10-30 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2019-10-30_final.stac-item
2019-11-05 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2019-11-05_final.stac-item
2019-12-02 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-02_final.stac-item
2020-01-18 11:22:16	ga_s2bm_ard_3-2-1_52KBF_2020-01-18_final.stac-item
2020-01-21 11:32:05	ga_s2bm_ard_3-2-1_51KXB_2020-01-21_final.stac-item
2020-02-27 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2020-02-27_final.stac-item
2020-03-08 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2020-03-08_final.stac-item
2020-03-11 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2020-03-11_final.stac-item
2020-03-11 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2020-03-11_final.stac-item
2020-04-10 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-04-10_final.stac-item
2020-05-27 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2020-05-27_final.stac-item
2020-06-02 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2020-06-02_final.stac-item
2020-06-05 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2020-06-05_final.stac-item
2020-06-09 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2020-06-09_final.stac-item
2020-07-26 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2020-07-26_final.stac-item
2020-08-05 11:24:58	ga_s2bm_ard_3-2-1_51JXL_2020-08-05_final.stac-item
2020-08-24 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2020-08-24_final.stac-item
2020-09-16 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-09-16_final.stac-item
2020-10-03 11:53:28	ga_s2bm_ard_3-2-1_50KNC_2020-10-03_final.stac-item
2020-11-03 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-11-03_final.stac-item
2020-11-09 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-11-09_final.stac-item
2020-11-12 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2020-11-12_final.stac-item
2020-12-03 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2020-12-03_final.stac-item
2021-01-01 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-01-01_final.stac-item
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final
2021-02-04 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2021-02-04_final.stac-item
2021-02-05 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2021-02-05_final.stac-item
2021-03-09 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-03-09_final.stac-item
2021-03-12 11:54:05	ga_s2bm_ard_3-2-1_50KPV_2021-03-12_final.stac-item
2021-05-22 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-05-22_final.stac-item
2021-05-31 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2021-05-31_final.stac-item
2021-06-01 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2021-06-01_final.stac-item
2021-07-04 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2021-07-04_final.stac-item
2021-07-31 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-07-31_final.stac-item
2021-08-10 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-08-10_final.stac-item
2021-10-28 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-28_final.stac-item
2021-11-25 11:14:34	ga_s2bm_ard_3-2-1_52JBS_2021-11-25_final.stac-item
2021-12-08 11:24:21	ga_s2bm_ard_3-2-1_51JXN_2021-12-08_final.stac-item
2021-12-28 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2021-12-28_final.stac-item
2021-12-31 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-12-31_final.stac-item
2022-02-05 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-02-05_final.stac-item
2022-02-23 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2022-02-23_final.stac-item
2022-03-06 10:45:57	ga_s2bm_ard_3-2-1_52JGL_2022-03-06_final.stac-item
2022-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-23_final.stac-item
2022-03-28 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2022-03-28_final.stac-item
2022-04-03 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2022-04-03_final.stac-item
2022-04-13 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2022-04-13_final.stac-item
2022-04-23 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-04-23_final.stac-item
2022-06-16 11:23:53	ga_s2bm_ard_3-2-1_52KBV_2022-06-16_final.stac-item
2022-07-22 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2022-07-22_final.stac-item
2022-08-21 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2022-08-21_final.stac-item
2022-09-26 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2022-09-26_final.stac-item
2022-11-06 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2022-11-06_final.stac-item
2022-11-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-11-29_final.stac-item
2023-01-29 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2023-01-29_final.stac-item
2023-02-24 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2023-02-24_final
2023-04-09 11:14:55	ga_s2bm_ard_3-2-1_52JBR_2023-04-09_final
2023-06-02 10:54:51	ga_s2bm_ard_3-2-1_52JFR_2023-06-02_final
2023-06-12 10:55:47	ga_s2bm_ard_3-2-1_52JGM_2023-06-12_final
2023-06-25 11:04:47	ga_s2bm_ard_3-2-1_52JFR_2023-06-25_final
2023-07-18 11:16:42	ga_s2bm_ard_3-2-1_51HYD_2023-07-18_final
2023-08-05 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-08-05_final
2023-08-12 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-08-12_final
2023-09-22 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2023-09-22_final
2023-11-17 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-11-17_final
2023-11-24 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2023-11-24_final
2023-12-14 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-12-14_final
2024-01-01 11:04:51	ga_s2bm_ard_3-2-1_52JDR_2024-01-01_final
2024-02-06 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2024-02-06_final
2024-04-25 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-04-25_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