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
2016-06-03 10:52:21	ga_s2am_ard_3-2-1_53JKN_2016-06-03_final.stac-item
2016-06-28 10:07:19	ga_s2am_ard_3-2-1_54HWC_2016-06-28_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51HWD_2016-07-02_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51HWD_2016-07-09_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KXS_2016-07-22_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_54GYA_2016-08-14_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50JMR_2016-12-01_final.stac-item
2016-12-27 10:43:36	ga_s2am_ard_3-2-1_53JLF_2016-12-27_final.stac-item
2017-01-31 11:26:14	ga_s2am_ard_3-2-1_51KXQ_2017-01-31_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JKM_2017-03-18_final.stac-item
2017-04-12 11:00:40	ga_s2am_ard_3-2-1_52LGL_2017-04-12_final.stac-item
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-04-13_final.stac-item
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_51KVS_2017-04-14_final.stac-item
2017-09-18 09:54:23	ga_s2am_ard_3-2-1_54HYB_2017-09-18_final.stac-item
2017-10-24 10:15:53	ga_s2am_ard_3-2-1_54HUH_2017-10-24_final.stac-item
2017-11-28 11:02:54	ga_s2am_ard_3-2-1_52JBL_2017-11-28_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQQ_2017-12-30_final.stac-item
2018-01-18 12:13:37	ga_s2am_ard_3-2-1_49KHR_2018-01-18_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JYH_2018-02-02_final.stac-item
2018-03-07 09:57:30	ga_s2am_ard_3-2-1_54HWC_2018-03-07_final.stac-item
2018-06-05 11:31:35	ga_s2am_ard_3-2-1_51JWK_2018-06-05_final.stac-item
2018-06-08 09:57:07	ga_s2am_ard_3-2-1_54HYF_2018-06-08_final.stac-item
2018-07-01 10:12:01	ga_s2am_ard_3-2-1_54HWE_2018-07-01_final.stac-item
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JMS_2018-07-14_final.stac-item
2018-07-27 10:27:09	ga_s2am_ard_3-2-1_54LUH_2018-07-27_final.stac-item
2018-08-06 10:27:08	ga_s2am_ard_3-2-1_54KTU_2018-08-06_final.stac-item
2018-08-20 10:07:04	ga_s2am_ard_3-2-1_53HQA_2018-08-20_final.stac-item
2018-09-15 10:27:04	ga_s2am_ard_3-2-1_54JTT_2018-09-15_final.stac-item
2018-10-14 10:57:13	ga_s2am_ard_3-2-1_52JGS_2018-10-14_final.stac-item
2018-12-06 11:13:21	ga_s2am_ard_3-2-1_52KEA_2018-12-06_final.stac-item
2019-01-19 10:55:45	ga_s2am_ard_3-2-1_52JEM_2019-01-19_final.stac-item
2019-01-22 11:00:45	ga_s2am_ard_3-2-1_52LGM_2019-01-22_final.stac-item
2019-01-31 11:32:55	ga_s2am_ard_3-2-1_51KWU_2019-01-31_final.stac-item
2019-02-05 10:42:40	ga_s2am_ard_3-2-1_53KMU_2019-02-05_final.stac-item
2019-02-14 11:14:05	ga_s2am_ard_3-2-1_51KZP_2019-02-14_final.stac-item
2019-04-11 11:34:12	ga_s2am_ard_3-2-1_51KWP_2019-04-11_final.stac-item
2019-04-23 12:15:23	ga_s2am_ard_3-2-1_49JGK_2019-04-23_final.stac-item
2019-09-15 11:24:03	ga_s2am_ard_3-2-1_52KBU_2019-09-15_final.stac-item
2020-01-08 10:34:13	ga_s2am_ard_3-2-1_53JQM_2020-01-08_final.stac-item
2020-01-09 11:43:31	ga_s2am_ard_3-2-1_50KQB_2020-01-09_final.stac-item
2020-01-09 11:44:18	ga_s2am_ard_3-2-1_51JUN_2020-01-09_final.stac-item
2020-01-24 10:52:13	ga_s2am_ard_3-2-1_52KHF_2020-01-24_final.stac-item
2020-02-23 10:50:47	ga_s2am_ard_3-2-1_53LNF_2020-02-23_final.stac-item
2020-03-03 11:26:36	ga_s2am_ard_3-2-1_51HWD_2020-03-03_final.stac-item
2020-03-21 10:40:50	ga_s2am_ard_3-2-1_53LPF_2020-03-21_final.stac-item
2020-05-22 11:21:41	ga_s2am_ard_3-2-1_52LCJ_2020-05-22_final.stac-item
2020-08-22 10:23:56	ga_s2am_ard_3-2-1_53KRP_2020-08-22_final.stac-item
2020-08-25 10:31:54	ga_s2am_ard_3-2-1_54KTG_2020-08-25_final.stac-item
2020-10-25 10:07:17	ga_s2am_ard_3-2-1_54HWE_2020-10-25_final.stac-item
2020-11-18 11:25:06	ga_s2am_ard_3-2-1_51JVL_2020-11-18_final.stac-item
2020-12-12 11:05:55	ga_s2am_ard_3-2-1_52JBM_2020-12-12_final.stac-item
2021-01-02 10:31:49	ga_s2am_ard_3-2-1_54KTG_2021-01-02_final.stac-item
2021-01-21 11:01:10	ga_s2am_ard_3-2-1_53LLE_2021-01-21_final.stac-item
2021-03-08 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-03-08_final.stac-item
2021-03-19 10:52:30	ga_s2am_ard_3-2-1_52KHE_2021-03-19_final.stac-item
2021-04-21 11:02:35	ga_s2am_ard_3-2-1_52KHD_2021-04-21_final.stac-item
2021-05-26 10:16:39	ga_s2am_ard_3-2-1_54HWG_2021-05-26_final.stac-item
2021-06-04 10:40:55	ga_s2am_ard_3-2-1_53LPF_2021-06-04_final.stac-item
2021-07-21 10:31:25	ga_s2am_ard_3-2-1_54LWH_2021-07-21_final.stac-item
2021-08-10 10:29:57	ga_s2am_ard_3-2-1_54LXP_2021-08-10_final.stac-item
2021-08-31 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-08-31_final.stac-item
2021-10-10 10:07:46	ga_s2am_ard_3-2-1_54HWC_2021-10-10_final.stac-item
2021-12-08 10:31:41	ga_s2am_ard_3-2-1_54KVG_2021-12-08_final.stac-item
2022-02-05 11:01:02	ga_s2am_ard_3-2-1_52LGL_2022-02-05_final.stac-item
2022-03-19 10:07:30	ga_s2am_ard_3-2-1_54HWD_2022-03-19_final.stac-item
2022-03-22 10:17:06	ga_s2am_ard_3-2-1_54HWE_2022-03-22_final.stac-item
2022-04-09 11:16:21	ga_s2am_ard_3-2-1_51JWF_2022-04-09_final.stac-item
2022-04-14 10:19:47	ga_s2am_ard_3-2-1_54LXQ_2022-04-14_final.stac-item
2022-04-28 10:07:42	ga_s2am_ard_3-2-1_54HXC_2022-04-28_final.stac-item
2022-05-28 11:44:38	ga_s2am_ard_3-2-1_50JRT_2022-05-28_final.stac-item
2022-06-10 11:56:08	ga_s2am_ard_3-2-1_50JKN_2022-06-10_final.stac-item
2022-06-30 10:12:20	ga_s2am_ard_3-2-1_54KZE_2022-06-30_final.stac-item
2022-07-03 12:06:08	ga_s2am_ard_3-2-1_50JKN_2022-07-03_final.stac-item
2022-07-19 10:46:36	ga_s2am_ard_3-2-1_53HLD_2022-07-19_final.stac-item
2022-08-23 09:57:11	ga_s2am_ard_3-2-1_54HYF_2022-08-23_final.stac-item
2022-09-11 10:24:15	ga_s2am_ard_3-2-1_53JRN_2022-09-11_final.stac-item
2022-09-14 10:35:37	ga_s2am_ard_3-2-1_53JMH_2022-09-14_final.stac-item
2022-09-22 09:57:58	ga_s2am_ard_3-2-1_54HYB_2022-09-22_final.stac-item
2022-10-11 10:24:57	ga_s2am_ard_3-2-1_53JQK_2022-10-11_final.stac-item
2022-10-17 10:46:01	ga_s2am_ard_3-2-1_53JKF_2022-10-17_final.stac-item
2022-11-16 10:44:00	ga_s2am_ard_3-2-1_53KLP_2022-11-16_final.stac-item
2022-12-21 09:58:03	ga_s2am_ard_3-2-1_54GYA_2022-12-21_final.stac-item
2022-12-21 11:32:30	ga_s2am_ard_3-2-1_51KVA_2022-12-21_final.stac-item
2022-12-23 10:33:18	ga_s2am_ard_3-2-1_53KQR_2022-12-23_final.stac-item
2023-02-07 10:52:43	ga_s2am_ard_3-2-1_53KKU_2023-02-07_final
2023-02-23 11:12:08	ga_s2am_ard_3-2-1_52KCG_2023-02-23_final
2023-03-02 11:02:49	ga_s2am_ard_3-2-1_52KED_2023-03-02_final
2023-03-27 11:56:12	ga_s2am_ard_3-2-1_50JKM_2023-03-27_final
2023-04-10 09:56:57	ga_s2am_ard_3-2-1_54HXF_2023-04-10_final
2023-04-10 11:32:37	ga_s2am_ard_3-2-1_51KYV_2023-04-10_final
2023-06-04 10:43:18	ga_s2am_ard_3-2-1_53KQR_2023-06-04_final
2023-06-28 10:24:05	ga_s2am_ard_3-2-1_54JUT_2023-06-28_final
2023-07-28 10:22:54	ga_s2am_ard_3-2-1_54KWB_2023-07-28_final
2023-08-30 10:34:35	ga_s2am_ard_3-2-1_54JTR_2023-08-30_final
2023-09-29 12:15:21	ga_s2am_ard_3-2-1_49JGK_2023-09-29_final
2024-01-06 11:06:22	ga_s2am_ard_3-2-1_52HBK_2024-01-06_final
2024-03-05 11:36:38	ga_s2am_ard_3-2-1_50HPK_2024-03-05_final
2024-03-06 11:01:18	ga_s2am_ard_3-2-1_52LGK_2024-03-06_final
2024-03-14 10:24:20	ga_s2am_ard_3-2-1_54JWR_2024-03-14_final
2024-03-24 10:22:43	ga_s2am_ard_3-2-1_54KWC_2024-03-24_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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