Search ga_s2am_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
2015-12-19 11:04:17	ga_s2am_ard_3-2-1_52KEV_2015-12-19_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_52KBB_2016-01-24_final.stac-item
2016-05-01 10:43:19	ga_s2am_ard_3-2-1_53HLD_2016-05-01_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_51LWC_2016-05-09_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52KGV_2016-06-26_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JCL_2016-08-05_final.stac-item
2016-08-23 10:26:39	ga_s2am_ard_3-2-1_53HPC_2016-08-23_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52KHE_2016-09-01_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49JGM_2016-12-04_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JYM_2017-01-08_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KVU_2017-01-14_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52KEE_2017-01-15_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_52KCG_2017-01-18_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKP_2017-01-30_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50KKA_2017-02-09_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50JLS_2017-02-26_final.stac-item
2017-03-10 10:52:09	ga_s2am_ard_3-2-1_52KHD_2017-03-10_final.stac-item
2017-03-21 10:22:59	ga_s2am_ard_3-2-1_53HPB_2017-03-21_final.stac-item
2017-04-20 10:26:38	ga_s2am_ard_3-2-1_53HPC_2017-04-20_final.stac-item
2017-09-20 10:32:07	ga_s2am_ard_3-2-1_53HPB_2017-09-20_final.stac-item
2017-10-09 11:02:09	ga_s2am_ard_3-2-1_52KEC_2017-10-09_final.stac-item
2017-12-09 10:32:28	ga_s2am_ard_3-2-1_53HLD_2017-12-09_final.stac-item
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50JKM_2018-01-02_final.stac-item
2018-02-02 11:18:14	ga_s2am_ard_3-2-1_51KYQ_2018-02-02_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_52LBJ_2018-02-25_final.stac-item
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51HUC_2018-03-27_final.stac-item
2018-04-10 11:16:00	ga_s2am_ard_3-2-1_51HYD_2018-04-10_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51JZN_2018-06-09_final.stac-item
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52JCN_2018-06-19_final.stac-item
2018-08-31 11:24:03	ga_s2am_ard_3-2-1_51HUC_2018-08-31_final.stac-item
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HXD_2018-10-07_final.stac-item
2018-12-12 11:36:47	ga_s2am_ard_3-2-1_51HUC_2018-12-12_final.stac-item
2019-01-24 11:42:53	ga_s2am_ard_3-2-1_51KVU_2019-01-24_final.stac-item
2019-02-01 11:02:49	ga_s2am_ard_3-2-1_52KED_2019-02-01_final.stac-item
2019-02-19 10:26:47	ga_s2am_ard_3-2-1_53HPB_2019-02-19_final.stac-item
2019-02-27 11:26:54	ga_s2am_ard_3-2-1_51HVC_2019-02-27_final.stac-item
2019-03-26 11:11:15	ga_s2am_ard_3-2-1_52LFK_2019-03-26_final.stac-item
2019-04-02 11:00:31	ga_s2am_ard_3-2-1_52LHN_2019-04-02_final.stac-item
2019-05-28 11:23:31	ga_s2am_ard_3-2-1_51KXS_2019-05-28_final.stac-item
2019-08-06 11:27:02	ga_s2am_ard_3-2-1_51HVC_2019-08-06_final.stac-item
2019-10-11 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-10-11_final.stac-item
2019-10-12 11:15:15	ga_s2am_ard_3-2-1_52JDP_2019-10-12_final.stac-item
2019-12-02 10:45:59	ga_s2am_ard_3-2-1_52JGL_2019-12-02_final.stac-item
2020-01-09 11:44:40	ga_s2am_ard_3-2-1_51JTM_2020-01-09_final.stac-item
2020-02-03 10:53:13	ga_s2am_ard_3-2-1_52KHB_2020-02-03_final.stac-item
2020-02-05 11:33:37	ga_s2am_ard_3-2-1_51KVR_2020-02-05_final.stac-item
2020-03-12 11:53:49	ga_s2am_ard_3-2-1_50KPA_2020-03-12_final.stac-item
2020-04-02 11:25:53	ga_s2am_ard_3-2-1_51JWG_2020-04-02_final.stac-item
2020-04-28 11:41:58	ga_s2am_ard_3-2-1_51LWC_2020-04-28_final.stac-item
2020-05-31 11:56:43	ga_s2am_ard_3-2-1_50HMK_2020-05-31_final.stac-item
2020-08-16 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-08-16_final.stac-item
2020-09-12 11:35:34	ga_s2am_ard_3-2-1_51JUJ_2020-09-12_final.stac-item
2020-11-22 11:04:09	ga_s2am_ard_3-2-1_52KDU_2020-11-22_final.stac-item
2020-11-23 10:36:48	ga_s2am_ard_3-2-1_53HPB_2020-11-23_final.stac-item
2020-12-02 11:04:42	ga_s2am_ard_3-2-1_52JFR_2020-12-02_final.stac-item
2020-12-08 11:22:09	ga_s2am_ard_3-2-1_51KYB_2020-12-08_final.stac-item
2021-03-01 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-03-01_final.stac-item
2021-03-15 11:12:20	ga_s2am_ard_3-2-1_52KDF_2021-03-15_final.stac-item
2021-05-30 11:34:26	ga_s2am_ard_3-2-1_51JWN_2021-05-30_final.stac-item
2021-05-31 11:03:35	ga_s2am_ard_3-2-1_52KEA_2021-05-31_final.stac-item
2021-05-31 11:04:22	ga_s2am_ard_3-2-1_52JDT_2021-05-31_final.stac-item
2021-09-03 11:54:09	ga_s2am_ard_3-2-1_50KNV_2021-09-03_final.stac-item
2021-11-20 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2021-11-20_final.stac-item
2021-11-22 11:54:33	ga_s2am_ard_3-2-1_50JPT_2021-11-22_final.stac-item
2021-12-13 11:23:09	ga_s2am_ard_3-2-1_51KYT_2021-12-13_final.stac-item
2022-02-14 11:34:49	ga_s2am_ard_3-2-1_50JRS_2022-02-14_final.stac-item
2022-03-08 10:36:54	ga_s2am_ard_3-2-1_53HNB_2022-03-08_final.stac-item
2022-04-14 10:27:08	ga_s2am_ard_3-2-1_53HPA_2022-04-14_final.stac-item
2022-05-29 11:14:31	ga_s2am_ard_3-2-1_52JBT_2022-05-29_final.stac-item
2022-06-10 11:56:35	ga_s2am_ard_3-2-1_50JLL_2022-06-10_final.stac-item
2022-08-03 11:36:30	ga_s2am_ard_3-2-1_50JQL_2022-08-03_final.stac-item
2022-09-08 11:55:14	ga_s2am_ard_3-2-1_50JPR_2022-09-08_final.stac-item
2022-09-21 12:05:01	ga_s2am_ard_3-2-1_50JLS_2022-09-21_final.stac-item
2022-11-24 11:42:41	ga_s2am_ard_3-2-1_51KVV_2022-11-24_final.stac-item
2022-12-22 11:02:27	ga_s2am_ard_3-2-1_52KGE_2022-12-22_final.stac-item
2023-01-08 10:54:43	ga_s2am_ard_3-2-1_52JGR_2023-01-08_final.stac-item
2023-01-08 10:55:15	ga_s2am_ard_3-2-1_52JFP_2023-01-08_final.stac-item
2023-01-18 10:55:26	ga_s2am_ard_3-2-1_52JFN_2023-01-18_final.stac-item
2023-01-27 11:22:46	ga_s2am_ard_3-2-1_52KCD_2023-01-27_final.stac-item
2023-01-27 11:26:45	ga_s2am_ard_3-2-1_51HUD_2023-01-27_final.stac-item
2023-03-03 10:36:56	ga_s2am_ard_3-2-1_53HPA_2023-03-03_final
2023-04-03 11:44:26	ga_s2am_ard_3-2-1_51JUN_2023-04-03_final
2023-04-05 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-04-05_final
2023-04-19 10:27:04	ga_s2am_ard_3-2-1_53HPA_2023-04-19_final
2023-05-13 11:46:22	ga_s2am_ard_3-2-1_50JNL_2023-05-13_final
2023-06-18 12:03:56	ga_s2am_ard_3-2-1_50KMA_2023-06-18_final
2023-06-26 11:24:44	ga_s2am_ard_3-2-1_51JXM_2023-06-26_final
2023-06-26 11:26:21	ga_s2am_ard_3-2-1_51JUF_2023-06-26_final
2023-08-08 11:35:12	ga_s2am_ard_3-2-1_51JWK_2023-08-08_final
2023-09-17 11:36:37	ga_s2am_ard_3-2-1_50HQK_2023-09-17_final
2023-11-12 11:57:12	ga_s2am_ard_3-2-1_50HKH_2023-11-12_nrt
2023-11-17 11:04:22	ga_s2am_ard_3-2-1_52JGS_2023-11-17_final
2023-11-23 11:21:42	ga_s2am_ard_3-2-1_52LDH_2023-11-23_final
2023-12-10 11:13:15	ga_s2am_ard_3-2-1_52KDB_2023-12-10_final
2024-01-06 11:03:04	ga_s2am_ard_3-2-1_52KGB_2024-01-06_final
2024-01-13 10:54:17	ga_s2am_ard_3-2-1_52JGS_2024-01-13_final
2024-02-08 11:11:08	ga_s2am_ard_3-2-1_52LGK_2024-02-08_final
2024-03-22 11:22:39	ga_s2am_ard_3-2-1_51KZV_2024-03-22_final
2024-04-13 10:27:07	ga_s2am_ard_3-2-1_53HPA_2024-04-13_final
2024-04-24 11:36:36	ga_s2am_ard_3-2-1_50HQK_2024-04-24_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A 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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