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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGM_2015-10-28_final.stac-item
2016-01-20 11:41:39	ga_s2am_ard_3-2-1_51LUF_2016-01-20_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQK_2016-04-06_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JKS_2016-04-15_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51KUS_2016-07-15_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JKN_2017-05-10_final.stac-item
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50HPJ_2017-07-10_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KKA_2017-11-26_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_51KYU_2018-01-06_final.stac-item
2018-02-09 11:11:58	ga_s2am_ard_3-2-1_51HXD_2018-02-09_final.stac-item
2018-03-07 11:30:40	ga_s2am_ard_3-2-1_51KUT_2018-03-07_final.stac-item
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_51KUR_2018-03-20_final.stac-item
2018-04-13 11:26:23	ga_s2am_ard_3-2-1_51HVC_2018-04-13_final.stac-item
2018-04-17 11:04:48	ga_s2am_ard_3-2-1_52JBM_2018-04-17_final.stac-item
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KYA_2018-05-13_final.stac-item
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JXG_2018-07-02_final.stac-item
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51KZP_2018-07-02_final.stac-item
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_51HYD_2018-07-09_final.stac-item
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51KZQ_2018-08-21_final.stac-item
2018-12-02 11:34:31	ga_s2am_ard_3-2-1_51JWM_2018-12-02_final.stac-item
2018-12-12 11:33:26	ga_s2am_ard_3-2-1_51KUS_2018-12-12_final.stac-item
2019-03-14 12:13:50	ga_s2am_ard_3-2-1_50KKA_2019-03-14_final.stac-item
2019-04-14 11:46:36	ga_s2am_ard_3-2-1_50HPK_2019-04-14_final.stac-item
2019-04-25 11:14:27	ga_s2am_ard_3-2-1_51JZN_2019-04-25_final.stac-item
2019-05-05 11:15:08	ga_s2am_ard_3-2-1_52JCQ_2019-05-05_final.stac-item
2019-06-24 11:14:27	ga_s2am_ard_3-2-1_51JZN_2019-06-24_final.stac-item
2019-07-07 11:27:07	ga_s2am_ard_3-2-1_51HUC_2019-07-07_final.stac-item
2019-07-10 11:32:56	ga_s2am_ard_3-2-1_51KYU_2019-07-10_final.stac-item
2019-08-11 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-08-11_final.stac-item
2019-09-05 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2019-09-05_final.stac-item
2019-10-01 11:43:45	ga_s2am_ard_3-2-1_51KUR_2019-10-01_final.stac-item
2019-10-08 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2019-10-08_final.stac-item
2019-10-18 11:36:50	ga_s2am_ard_3-2-1_51HTD_2019-10-18_final.stac-item
2019-11-23 11:53:25	ga_s2am_ard_3-2-1_50KNC_2019-11-23_final.stac-item
2019-12-27 11:32:20	ga_s2am_ard_3-2-1_51KXA_2019-12-27_final.stac-item
2020-02-15 11:32:22	ga_s2am_ard_3-2-1_51KWA_2020-02-15_final.stac-item
2020-03-09 11:42:56	ga_s2am_ard_3-2-1_51KUU_2020-03-09_final.stac-item
2020-04-12 11:26:42	ga_s2am_ard_3-2-1_51HVD_2020-04-12_final.stac-item
2020-04-15 11:34:57	ga_s2am_ard_3-2-1_51JVL_2020-04-15_final.stac-item
2020-04-17 12:14:27	ga_s2am_ard_3-2-1_49KGP_2020-04-17_final.stac-item
2020-04-24 12:05:39	ga_s2am_ard_3-2-1_50JLP_2020-04-24_final.stac-item
2020-07-01 11:24:46	ga_s2am_ard_3-2-1_51JXM_2020-07-01_final.stac-item
2020-07-23 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-07-23_final.stac-item
2020-07-28 11:15:38	ga_s2am_ard_3-2-1_52JCN_2020-07-28_final.stac-item
2020-09-12 11:36:23	ga_s2am_ard_3-2-1_50JQL_2020-09-12_final.stac-item
2020-10-16 11:14:47	ga_s2am_ard_3-2-1_51JYM_2020-10-16_final.stac-item
2020-11-05 11:14:28	ga_s2am_ard_3-2-1_52JBT_2020-11-05_final.stac-item
2020-11-10 12:04:35	ga_s2am_ard_3-2-1_49KGP_2020-11-10_final.stac-item
2020-11-11 11:33:06	ga_s2am_ard_3-2-1_51KYT_2020-11-11_final.stac-item
2020-11-27 11:56:41	ga_s2am_ard_3-2-1_50HLK_2020-11-27_final.stac-item
2020-12-14 11:43:33	ga_s2am_ard_3-2-1_51KVR_2020-12-14_final.stac-item
2020-12-28 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2020-12-28_final.stac-item
2020-12-30 12:03:26	ga_s2am_ard_3-2-1_50KLC_2020-12-30_final.stac-item
2021-01-10 11:32:47	ga_s2am_ard_3-2-1_51KVV_2021-01-10_final.stac-item
2021-01-19 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-01-19_final.stac-item
2021-03-04 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-03-04_final.stac-item
2021-05-10 11:32:39	ga_s2am_ard_3-2-1_51KXV_2021-05-10_final.stac-item
2021-07-01 12:13:42	ga_s2am_ard_3-2-1_50KKB_2021-07-01_final.stac-item
2021-07-18 12:04:16	ga_s2am_ard_3-2-1_50KKV_2021-07-18_final.stac-item
2021-07-25 11:53:21	ga_s2am_ard_3-2-1_50KQC_2021-07-25_final.stac-item
2021-08-12 11:15:06	ga_s2am_ard_3-2-1_52JCQ_2021-08-12_final.stac-item
2021-09-16 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-09-16_final.stac-item
2021-09-30 11:41:02	ga_s2am_ard_3-2-1_51LWG_2021-09-30_final
2021-10-23 11:54:49	ga_s2am_ard_3-2-1_50JLT_2021-10-23_final.stac-item
2021-11-20 11:14:23	ga_s2am_ard_3-2-1_52JBT_2021-11-20_final.stac-item
2021-11-23 11:25:20	ga_s2am_ard_3-2-1_51JYJ_2021-11-23_final.stac-item
2021-11-28 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-11-28_final.stac-item
2021-11-30 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2021-11-30_final.stac-item
2021-11-30 11:16:58	ga_s2am_ard_3-2-1_51HWC_2021-11-30_final
2021-12-16 11:36:46	ga_s2am_ard_3-2-1_51HTD_2021-12-16_final.stac-item
2021-12-25 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-12-25_final.stac-item
2022-03-06 11:33:13	ga_s2am_ard_3-2-1_51KXT_2022-03-06_final.stac-item
2022-03-13 11:23:31	ga_s2am_ard_3-2-1_51KYS_2022-03-13_final.stac-item
2022-03-16 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2022-03-16_final.stac-item
2022-03-22 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-03-22_final.stac-item
2022-05-02 11:23:55	ga_s2am_ard_3-2-1_51KZQ_2022-05-02_final.stac-item
2022-05-05 11:32:30	ga_s2am_ard_3-2-1_51KXA_2022-05-05_final.stac-item
2022-07-14 11:32:41	ga_s2am_ard_3-2-1_51KWA_2022-07-14_final.stac-item
2022-08-20 11:25:55	ga_s2am_ard_3-2-1_51JWH_2022-08-20_final.stac-item
2022-08-23 11:36:44	ga_s2am_ard_3-2-1_51HTE_2022-08-23_final.stac-item
2022-10-11 12:03:50	ga_s2am_ard_3-2-1_50KKB_2022-10-11_final.stac-item
2022-11-01 11:34:00	ga_s2am_ard_3-2-1_51KWQ_2022-11-01_final.stac-item
2022-11-01 11:34:19	ga_s2am_ard_3-2-1_51JXN_2022-11-01_final.stac-item
2022-11-04 11:42:46	ga_s2am_ard_3-2-1_51KVV_2022-11-04_final.stac-item
2023-01-10 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-01-10_final.stac-item
2023-01-30 11:32:13	ga_s2am_ard_3-2-1_51KWB_2023-01-30_final.stac-item
2023-02-26 11:23:37	ga_s2am_ard_3-2-1_51KYR_2023-02-26_final
2023-04-10 11:32:07	ga_s2am_ard_3-2-1_51KYB_2023-04-10_final
2023-04-10 11:34:32	ga_s2am_ard_3-2-1_51JUN_2023-04-10_final
2023-04-23 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-04-23_final
2023-05-20 11:37:05	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final
2023-07-06 11:23:05	ga_s2am_ard_3-2-1_51KXU_2023-07-06_final
2023-07-08 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-07-08_final
2023-07-28 12:03:28	ga_s2am_ard_3-2-1_50KMC_2023-07-28_final
2023-08-11 11:42:18	ga_s2am_ard_3-2-1_51KVB_2023-08-11_final
2023-08-11 11:43:48	ga_s2am_ard_3-2-1_51KUR_2023-08-11_final
2023-11-29 11:43:25	ga_s2am_ard_3-2-1_51KTS_2023-11-29_final
2024-01-08 11:42:09	ga_s2am_ard_3-2-1_51KVB_2024-01-08_final
2024-03-18 11:43:04	ga_s2am_ard_3-2-1_50KRD_2024-03-18_final
2024-03-18 11:46:34	ga_s2am_ard_3-2-1_50HPK_2024-03-18_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

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