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
2016-10-18 10:39:46	ga_s2am_ard_3-2-1_53KPP_2016-10-18_final.stac-item
2016-10-28 10:37:24	ga_s2am_ard_3-2-1_53LPF_2016-10-28_final.stac-item
2017-02-05 10:37:21	ga_s2am_ard_3-2-1_53KNB_2017-02-05_final.stac-item
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-03-04_final.stac-item
2017-04-13 10:32:10	ga_s2am_ard_3-2-1_53JQN_2017-04-13_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51KWQ_2017-04-28_final.stac-item
2017-11-17 09:54:36	ga_s2am_ard_3-2-1_54HXF_2017-11-17_final.stac-item
2017-11-17 09:54:36	ga_s2am_ard_3-2-1_54HYG_2017-11-17_final.stac-item
2018-02-26 10:57:12	ga_s2am_ard_3-2-1_52KGD_2018-02-26_final.stac-item
2018-04-16 11:33:46	ga_s2am_ard_3-2-1_50HPJ_2018-04-16_final.stac-item
2018-04-21 10:37:29	ga_s2am_ard_3-2-1_53KNP_2018-04-21_final.stac-item
2018-05-23 11:17:08	ga_s2am_ard_3-2-1_52KBF_2018-05-23_final.stac-item
2018-06-09 11:07:12	ga_s2am_ard_3-2-1_52KEB_2018-06-09_final.stac-item
2018-06-22 11:20:28	ga_s2am_ard_3-2-1_51KYT_2018-06-22_final.stac-item
2018-06-26 11:02:55	ga_s2am_ard_3-2-1_52KEB_2018-06-26_final.stac-item
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KVT_2018-06-28_final.stac-item
2018-08-03 10:17:06	ga_s2am_ard_3-2-1_53JQL_2018-08-03_final.stac-item
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_53HQB_2018-08-13_final.stac-item
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_51KWS_2018-08-14_final.stac-item
2018-08-22 10:47:24	ga_s2am_ard_3-2-1_53JKF_2018-08-22_final.stac-item
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JFM_2018-08-26_final.stac-item
2018-10-10 11:16:56	ga_s2am_ard_3-2-1_51KXS_2018-10-10_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KWR_2018-11-02_final.stac-item
2018-11-11 12:04:49	ga_s2am_ard_3-2-1_50JLS_2018-11-11_final.stac-item
2018-11-12 11:33:07	ga_s2am_ard_3-2-1_51KWT_2018-11-12_final.stac-item
2018-12-21 10:26:24	ga_s2am_ard_3-2-1_53HQC_2018-12-21_final.stac-item
2018-12-31 10:24:27	ga_s2am_ard_3-2-1_54JTR_2018-12-31_final.stac-item
2019-01-21 11:32:16	ga_s2am_ard_3-2-1_51KVB_2019-01-21_final.stac-item
2019-01-31 11:33:20	ga_s2am_ard_3-2-1_51KXS_2019-01-31_final.stac-item
2019-02-17 11:23:03	ga_s2am_ard_3-2-1_51KZT_2019-02-17_final.stac-item
2019-03-02 11:33:40	ga_s2am_ard_3-2-1_51KVR_2019-03-02_final.stac-item
2019-03-24 10:33:11	ga_s2am_ard_3-2-1_53KPS_2019-03-24_final.stac-item
2019-05-28 11:23:23	ga_s2am_ard_3-2-1_52KBB_2019-05-28_final.stac-item
2019-05-30 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-05-30_final.stac-item
2019-06-03 11:42:59	ga_s2am_ard_3-2-1_51KVU_2019-06-03_final.stac-item
2019-06-04 11:10:39	ga_s2am_ard_3-2-1_52LHM_2019-06-04_final.stac-item
2019-07-17 11:22:53	ga_s2am_ard_3-2-1_52KCD_2019-07-17_final.stac-item
2019-09-09 11:03:18	ga_s2am_ard_3-2-1_52KEB_2019-09-09_final.stac-item
2019-09-29 11:00:32	ga_s2am_ard_3-2-1_52LHN_2019-09-29_final.stac-item
2019-10-05 11:23:38	ga_s2am_ard_3-2-1_51KZR_2019-10-05_final.stac-item
2020-01-03 11:23:05	ga_s2am_ard_3-2-1_51KYT_2020-01-03_final.stac-item
2020-01-15 10:24:13	ga_s2am_ard_3-2-1_53JRM_2020-01-15_final.stac-item
2020-01-23 11:23:36	ga_s2am_ard_3-2-1_51KXR_2020-01-23_final.stac-item
2020-01-28 10:32:41	ga_s2am_ard_3-2-1_53KRT_2020-01-28_final.stac-item
2020-02-09 11:15:22	ga_s2am_ard_3-2-1_51JXJ_2020-02-09_final.stac-item
2020-02-18 10:06:29	ga_s2am_ard_3-2-1_54HYG_2020-02-18_final.stac-item
2020-04-08 11:42:25	ga_s2am_ard_3-2-1_51KVA_2020-04-08_final.stac-item
2020-05-12 11:21:37	ga_s2am_ard_3-2-1_52LDJ_2020-05-12_final.stac-item
2020-05-27 10:36:22	ga_s2am_ard_3-2-1_53HLE_2020-05-27_final.stac-item
2020-07-04 11:37:02	ga_s2am_ard_3-2-1_51HUC_2020-07-04_final.stac-item
2020-08-04 11:03:55	ga_s2am_ard_3-2-1_52KEV_2020-08-04_final.stac-item
2020-08-12 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-08-12_final.stac-item
2020-09-02 11:33:39	ga_s2am_ard_3-2-1_51KUS_2020-09-02_final.stac-item
2020-09-15 11:43:33	ga_s2am_ard_3-2-1_51KUS_2020-09-15_final.stac-item
2020-11-11 11:33:05	ga_s2am_ard_3-2-1_51KVU_2020-11-11_final.stac-item
2020-11-23 10:34:39	ga_s2am_ard_3-2-1_54JTR_2020-11-23_final.stac-item
2020-12-03 10:33:48	ga_s2am_ard_3-2-1_53KQP_2020-12-03_final.stac-item
2021-01-03 11:43:22	ga_s2am_ard_3-2-1_51KVS_2021-01-03_final.stac-item
2021-01-13 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-01-13_final.stac-item
2021-03-01 11:33:23	ga_s2am_ard_3-2-1_51KXS_2021-03-01_final.stac-item
2021-03-24 10:06:33	ga_s2am_ard_3-2-1_54HYG_2021-03-24_final.stac-item
2021-03-25 11:16:24	ga_s2am_ard_3-2-1_51HXE_2021-03-25_final.stac-item
2021-06-19 09:56:58	ga_s2am_ard_3-2-1_54HXF_2021-06-19_final.stac-item
2021-06-29 11:33:29	ga_s2am_ard_3-2-1_51KWS_2021-06-29_final.stac-item
2021-10-29 10:34:18	ga_s2am_ard_3-2-1_53JNN_2021-10-29_final.stac-item
2021-12-16 11:33:30	ga_s2am_ard_3-2-1_51KVS_2021-12-16_final.stac-item
2022-01-16 11:00:37	ga_s2am_ard_3-2-1_53LMG_2022-01-16_final.stac-item
2022-01-17 10:35:57	ga_s2am_ard_3-2-1_53HQE_2022-01-17_final.stac-item
2022-01-21 11:55:59	ga_s2am_ard_3-2-1_50JKN_2022-01-21_final.stac-item
2022-02-01 11:26:32	ga_s2am_ard_3-2-1_51HUE_2022-02-01_final.stac-item
2022-03-08 10:34:08	ga_s2am_ard_3-2-1_53JQN_2022-03-08_final.stac-item
2022-03-29 11:44:08	ga_s2am_ard_3-2-1_50KQV_2022-03-29_final.stac-item
2022-04-09 11:13:16	ga_s2am_ard_3-2-1_52KEB_2022-04-09_final.stac-item
2022-05-07 10:33:54	ga_s2am_ard_3-2-1_53KQP_2022-05-07_final.stac-item
2022-06-24 11:33:14	ga_s2am_ard_3-2-1_51KVU_2022-06-24_final.stac-item
2022-06-29 10:46:22	ga_s2am_ard_3-2-1_53HLE_2022-06-29_final.stac-item
2022-08-27 11:14:07	ga_s2am_ard_3-2-1_51KZQ_2022-08-27_final.stac-item
2022-09-04 10:34:26	ga_s2am_ard_3-2-1_53JRM_2022-09-04_final.stac-item
2022-10-27 10:43:51	ga_s2am_ard_3-2-1_53KPP_2022-10-27_final.stac-item
2022-11-11 11:31:08	ga_s2am_ard_3-2-1_52LBL_2022-11-11_final
2022-11-11 11:33:05	ga_s2am_ard_3-2-1_51KVU_2022-11-11_final.stac-item
2022-12-03 10:34:00	ga_s2am_ard_3-2-1_53JRN_2022-12-03_final.stac-item
2022-12-13 12:14:31	ga_s2am_ard_3-2-1_49KFP_2022-12-13_nrt.stac-item
2023-02-13 11:11:32	ga_s2am_ard_3-2-1_52LEJ_2023-02-13_final
2023-04-10 11:32:19	ga_s2am_ard_3-2-1_51KVB_2023-04-10_final
2023-04-14 11:14:29	ga_s2am_ard_3-2-1_51JYN_2023-04-14_final
2023-04-29 10:24:19	ga_s2am_ard_3-2-1_53JRM_2023-04-29_final
2023-05-04 11:13:55	ga_s2am_ard_3-2-1_52KBV_2023-05-04_final
2023-05-05 10:45:55	ga_s2am_ard_3-2-1_53JLF_2023-05-05_final
2023-05-27 11:22:59	ga_s2am_ard_3-2-1_51KYU_2023-05-27_final
2023-06-09 11:36:30	ga_s2am_ard_3-2-1_50JPL_2023-06-09_final
2023-06-09 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-09_final
2023-08-01 10:07:07	ga_s2am_ard_3-2-1_54HVF_2023-08-01_final
2023-10-30 10:07:36	ga_s2am_ard_3-2-1_54HXC_2023-10-30_final
2023-11-06 11:33:30	ga_s2am_ard_3-2-1_51KVS_2023-11-06_final
2023-11-09 11:43:11	ga_s2am_ard_3-2-1_51KVT_2023-11-09_final
2023-11-19 10:05:53	ga_s2am_ard_3-2-1_54HXK_2023-11-19_final
2023-12-11 10:45:27	ga_s2am_ard_3-2-1_53JNG_2023-12-11_final
2024-01-29 11:12:01	ga_s2am_ard_3-2-1_52KDG_2024-01-29_final
2024-03-10 10:41:42	ga_s2am_ard_3-2-1_53LNC_2024-03-10_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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