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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51JZM_2015-11-25_final.stac-item
2016-02-06 11:26:58	ga_s2am_ard_3-2-1_51KVB_2016-02-06_final.stac-item
2016-02-19 11:36:40	ga_s2am_ard_3-2-1_51KUV_2016-02-19_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KVV_2016-03-07_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUP_2016-05-29_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNH_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JPL_2016-06-18_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_50HQJ_2016-07-15_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_51KUU_2016-11-05_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51KVV_2016-12-15_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_51JYN_2017-01-25_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50KMC_2017-06-26_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50KQC_2017-08-25_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50JPL_2017-09-01_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_51KVV_2017-09-01_final.stac-item
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49KGP_2017-11-06_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_50KKB_2017-11-09_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_51KTT_2017-12-10_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVV_2017-12-17_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_51KUV_2018-03-10_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51KUV_2018-04-09_final.stac-item
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHP_2018-05-15_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50JQM_2018-06-08_final.stac-item
2018-06-15 11:26:20	ga_s2am_ard_3-2-1_51KVV_2018-06-15_final.stac-item
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51KUS_2018-07-25_final.stac-item
2018-08-18 11:12:58	ga_s2am_ard_3-2-1_51JZN_2018-08-18_final.stac-item
2018-09-20 11:24:00	ga_s2am_ard_3-2-1_51HVD_2018-09-20_final.stac-item
2018-09-26 11:34:41	ga_s2am_ard_3-2-1_51KUT_2018-09-26_final.stac-item
2018-11-09 11:24:54	ga_s2am_ard_3-2-1_51JWL_2018-11-09_final.stac-item
2018-12-12 11:32:38	ga_s2am_ard_3-2-1_51KVV_2018-12-12_final.stac-item
2018-12-25 11:46:35	ga_s2am_ard_3-2-1_50HQJ_2018-12-25_final.stac-item
2019-01-11 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2019-01-11_final.stac-item
2019-02-07 11:24:19	ga_s2am_ard_3-2-1_51JYN_2019-02-07_final.stac-item
2019-02-16 11:53:07	ga_s2am_ard_3-2-1_50KRC_2019-02-16_final.stac-item
2019-03-05 11:43:31	ga_s2am_ard_3-2-1_51KVR_2019-03-05_final.stac-item
2019-04-08 11:25:43	ga_s2am_ard_3-2-1_51JWH_2019-04-08_final.stac-item
2019-04-14 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-04-14_final.stac-item
2019-05-24 11:42:45	ga_s2am_ard_3-2-1_51KVV_2019-05-24_final.stac-item
2019-06-06 11:55:55	ga_s2am_ard_3-2-1_50JMN_2019-06-06_final.stac-item
2019-06-30 11:36:36	ga_s2am_ard_3-2-1_51HTE_2019-06-30_final.stac-item
2019-08-02 11:42:32	ga_s2am_ard_3-2-1_51KVA_2019-08-02_final.stac-item
2019-09-28 11:32:48	ga_s2am_ard_3-2-1_51KVV_2019-09-28_final.stac-item
2019-10-30 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-10-30_final.stac-item
2019-12-16 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-12-16_final.stac-item
2020-01-22 11:55:53	ga_s2am_ard_3-2-1_50JKN_2020-01-22_final.stac-item
2020-02-04 12:03:36	ga_s2am_ard_3-2-1_50KKB_2020-02-04_final.stac-item
2020-02-14 12:04:06	ga_s2am_ard_3-2-1_50KKV_2020-02-14_final.stac-item
2020-02-15 11:36:13	ga_s2am_ard_3-2-1_50JQL_2020-02-15_final.stac-item
2020-03-03 11:26:18	ga_s2am_ard_3-2-1_51HXE_2020-03-03_final.stac-item
2020-03-06 11:36:06	ga_s2am_ard_3-2-1_51JVF_2020-03-06_final.stac-item
2020-03-12 11:53:51	ga_s2am_ard_3-2-1_50KNA_2020-03-12_final.stac-item
2020-04-05 11:35:16	ga_s2am_ard_3-2-1_51JWJ_2020-04-05_final.stac-item
2020-04-08 11:46:27	ga_s2am_ard_3-2-1_50HQK_2020-04-08_final.stac-item
2020-04-21 11:56:31	ga_s2am_ard_3-2-1_50HNK_2020-04-21_final.stac-item
2020-06-01 11:26:11	ga_s2am_ard_3-2-1_51JUG_2020-06-01_final.stac-item
2020-09-18 11:54:56	ga_s2am_ard_3-2-1_50JNS_2020-09-18_final.stac-item
2020-10-02 11:32:52	ga_s2am_ard_3-2-1_51KVV_2020-10-02_final.stac-item
2020-11-04 11:45:19	ga_s2am_ard_3-2-1_50JQQ_2020-11-04_final.stac-item
2021-03-04 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-03-04_final.stac-item
2021-05-13 11:46:29	ga_s2am_ard_3-2-1_50HQK_2021-05-13_final.stac-item
2021-05-23 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2021-05-23_final.stac-item
2021-06-19 11:34:26	ga_s2am_ard_3-2-1_51JVN_2021-06-19_final.stac-item
2021-06-19 11:34:34	ga_s2am_ard_3-2-1_51JUN_2021-06-19_final.stac-item
2021-07-06 11:27:01	ga_s2am_ard_3-2-1_51HVC_2021-07-06_final.stac-item
2021-08-25 11:25:22	ga_s2am_ard_3-2-1_51JYJ_2021-08-25_final.stac-item
2021-09-28 11:06:41	ga_s2am_ard_3-2-1_51HYD_2021-09-28_final.stac-item
2021-10-17 11:33:27	ga_s2am_ard_3-2-1_51KUT_2021-10-17_final.stac-item
2021-11-12 11:52:22	ga_s2am_ard_3-2-1_50KQG_2021-11-12_final
2022-01-05 11:32:31	ga_s2am_ard_3-2-1_51KWA_2022-01-05_final.stac-item
2022-02-17 11:43:59	ga_s2am_ard_3-2-1_51KUQ_2022-02-17_final.stac-item
2022-03-15 12:03:24	ga_s2am_ard_3-2-1_50KNC_2022-03-15_final.stac-item
2022-03-15 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2022-03-15_final.stac-item
2022-04-01 11:53:41	ga_s2am_ard_3-2-1_50KNB_2022-04-01_final.stac-item
2022-05-31 11:56:15	ga_s2am_ard_3-2-1_50JMM_2022-05-31_final.stac-item
2022-06-03 12:06:03	ga_s2am_ard_3-2-1_50JKN_2022-06-03_final.stac-item
2022-07-17 11:45:37	ga_s2am_ard_3-2-1_50JNQ_2022-07-17_final.stac-item
2022-08-23 11:33:14	ga_s2am_ard_3-2-1_51KVU_2022-08-23_final.stac-item
2022-09-05 11:42:39	ga_s2am_ard_3-2-1_51KVA_2022-09-05_final.stac-item
2022-10-05 11:43:25	ga_s2am_ard_3-2-1_51KTT_2022-10-05_final.stac-item
2022-10-11 12:03:50	ga_s2am_ard_3-2-1_50KKB_2022-10-11_final.stac-item
2022-11-07 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-11-07_final.stac-item
2023-01-23 11:42:17	ga_s2am_ard_3-2-1_51KWA_2023-01-23_final.stac-item
2023-02-16 11:25:06	ga_s2am_ard_3-2-1_51JXK_2023-02-16_nrt.stac-item
2023-04-03 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-04-03_final
2023-04-23 11:44:30	ga_s2am_ard_3-2-1_50JRT_2023-04-23_final
2023-04-30 11:32:29	ga_s2am_ard_3-2-1_51KWA_2023-04-30_final
2023-07-16 11:25:42	ga_s2am_ard_3-2-1_51JXH_2023-07-16_final
2023-07-26 11:26:52	ga_s2am_ard_3-2-1_51HUD_2023-07-26_final
2023-08-21 11:46:43	ga_s2am_ard_3-2-1_50HNK_2023-08-21_final
2023-09-11 11:15:34	ga_s2am_ard_3-2-1_51JXJ_2023-09-11_final
2023-10-13 11:57:12	ga_s2am_ard_3-2-1_49HGC_2023-10-13_nrt
2023-12-06 11:36:04	ga_s2am_ard_3-2-1_51JVF_2023-12-06_final
2024-01-09 11:16:18	ga_s2am_ard_3-2-1_51HYE_2024-01-09_final
2024-03-08 11:46:16	ga_s2am_ard_3-2-1_50JQL_2024-03-08_final
2024-03-21 11:57:13	ga_s2am_ard_3-2-1_50HKH_2024-03-21_final
2024-03-31 11:53:16	ga_s2am_ard_3-2-1_50KQC_2024-03-31_final
2024-05-01 11:27:01	ga_s2am_ard_3-2-1_51HVC_2024-05-01_final
2024-05-07 11:43:35	ga_s2am_ard_3-2-1_50KRB_2024-05-07_final
2024-05-07 11:46:22	ga_s2am_ard_3-2-1_50JPL_2024-05-07_final
2024-05-23 12:05:14	ga_s2am_ard_3-2-1_49JGL_2024-05-23_nrt

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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