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
2015-12-29 11:00:59	ga_s2am_ard_3-2-1_52LHN_2015-12-29_final.stac-item
2016-03-08 11:02:38	ga_s2am_ard_3-2-1_52KHB_2016-03-08_final.stac-item
2016-05-07 11:02:16	ga_s2am_ard_3-2-1_52KDU_2016-05-07_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52KEU_2016-05-30_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKM_2016-06-04_final.stac-item
2016-09-01 10:48:19	ga_s2am_ard_3-2-1_52JFR_2016-09-01_final.stac-item
2016-09-08 10:45:18	ga_s2am_ard_3-2-1_53HLD_2016-09-08_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50JPL_2016-10-03_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JNT_2016-10-29_final.stac-item
2016-11-16 11:11:49	ga_s2am_ard_3-2-1_51HXD_2016-11-16_final.stac-item
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52KFG_2016-12-23_final.stac-item
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52KGU_2017-01-02_final.stac-item
2017-01-05 11:13:24	ga_s2am_ard_3-2-1_52KEV_2017-01-05_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKS_2017-02-09_final.stac-item
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52LGK_2017-02-14_final.stac-item
2017-03-06 11:07:05	ga_s2am_ard_3-2-1_52LHM_2017-03-06_final.stac-item
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51HWE_2017-04-28_final.stac-item
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JBM_2017-07-11_final.stac-item
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_50JKQ_2017-07-19_final.stac-item
2017-09-09 11:02:57	ga_s2am_ard_3-2-1_52JBL_2017-09-09_final.stac-item
2017-09-29 11:02:55	ga_s2am_ard_3-2-1_52JDT_2017-09-29_final.stac-item
2018-01-30 11:12:10	ga_s2am_ard_3-2-1_52KEU_2018-01-30_final.stac-item
2018-02-16 10:58:46	ga_s2am_ard_3-2-1_52KGD_2018-02-16_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JUF_2018-02-25_final.stac-item
2018-02-28 11:38:46	ga_s2am_ard_3-2-1_51KVS_2018-02-28_final.stac-item
2018-05-10 11:12:54	ga_s2am_ard_3-2-1_52JBN_2018-05-10_final.stac-item
2018-05-30 11:13:18	ga_s2am_ard_3-2-1_51KZS_2018-05-30_final.stac-item
2018-08-04 11:26:21	ga_s2am_ard_3-2-1_51KVV_2018-08-04_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JMM_2018-08-20_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JVH_2018-09-30_final.stac-item
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HQJ_2018-11-05_final.stac-item
2019-03-21 12:05:27	ga_s2am_ard_3-2-1_49JGK_2019-03-21_final.stac-item
2019-04-05 11:10:30	ga_s2am_ard_3-2-1_52LGN_2019-04-05_final.stac-item
2019-05-02 11:00:52	ga_s2am_ard_3-2-1_52LGM_2019-05-02_final.stac-item
2019-08-26 11:25:00	ga_s2am_ard_3-2-1_51JWL_2019-08-26_final.stac-item
2019-09-20 10:36:10	ga_s2am_ard_3-2-1_53HME_2019-09-20_final.stac-item
2019-10-12 11:16:29	ga_s2am_ard_3-2-1_51HXE_2019-10-12_final.stac-item
2019-11-12 10:46:26	ga_s2am_ard_3-2-1_53HLD_2019-11-12_final.stac-item
2019-12-24 11:25:40	ga_s2am_ard_3-2-1_51JVH_2019-12-24_final.stac-item
2020-01-16 11:36:37	ga_s2am_ard_3-2-1_51HUD_2020-01-16_final.stac-item
2020-02-21 11:56:05	ga_s2am_ard_3-2-1_50JLM_2020-02-21_final.stac-item
2020-02-28 11:46:43	ga_s2am_ard_3-2-1_50HPJ_2020-02-28_final.stac-item
2020-03-03 11:22:19	ga_s2am_ard_3-2-1_51KZA_2020-03-03_final.stac-item
2020-03-15 12:06:06	ga_s2am_ard_3-2-1_50JKM_2020-03-15_final.stac-item
2020-03-23 11:26:40	ga_s2am_ard_3-2-1_51HVD_2020-03-23_final.stac-item
2020-04-30 10:46:27	ga_s2am_ard_3-2-1_53HLD_2020-04-30_final.stac-item
2020-06-22 10:55:40	ga_s2am_ard_3-2-1_52JEN_2020-06-22_final.stac-item
2020-06-23 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-06-23_final.stac-item
2020-08-10 11:25:48	ga_s2am_ard_3-2-1_51JWH_2020-08-10_final.stac-item
2020-08-13 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-08-13_final.stac-item
2020-08-16 11:46:00	ga_s2am_ard_3-2-1_50JNN_2020-08-16_final.stac-item
2020-09-11 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-09-11_final.stac-item
2020-10-05 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-10-05_final.stac-item
2020-11-24 11:43:38	ga_s2am_ard_3-2-1_50KQB_2020-11-24_final.stac-item
2020-12-12 11:05:34	ga_s2am_ard_3-2-1_52JCN_2020-12-12_final.stac-item
2020-12-12 11:06:07	ga_s2am_ard_3-2-1_52JBL_2020-12-12_final.stac-item
2021-01-20 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2021-01-20_final.stac-item
2021-01-27 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2021-01-27_final.stac-item
2021-02-10 11:02:14	ga_s2am_ard_3-2-1_52KGF_2021-02-10_final.stac-item
2021-03-01 11:36:19	ga_s2am_ard_3-2-1_50JQL_2021-03-01_final.stac-item
2021-04-27 11:26:44	ga_s2am_ard_3-2-1_51HUD_2021-04-27_final.stac-item
2021-05-03 11:44:43	ga_s2am_ard_3-2-1_51JTM_2021-05-03_final.stac-item
2021-05-27 11:21:33	ga_s2am_ard_3-2-1_52LDJ_2021-05-27_final.stac-item
2021-06-02 11:44:35	ga_s2am_ard_3-2-1_50JQT_2021-06-02_final.stac-item
2021-08-31 11:46:27	ga_s2am_ard_3-2-1_50JML_2021-08-31_final.stac-item
2021-09-24 11:27:02	ga_s2am_ard_3-2-1_51HVC_2021-09-24_final.stac-item
2021-10-03 11:56:34	ga_s2am_ard_3-2-1_50HNK_2021-10-03_final.stac-item
2021-11-07 11:01:49	ga_s2am_ard_3-2-1_52LGH_2021-11-07_final.stac-item
2021-11-18 10:36:10	ga_s2am_ard_3-2-1_53HME_2021-11-18_final.stac-item
2021-12-24 10:53:29	ga_s2am_ard_3-2-1_52KHA_2021-12-24_final.stac-item
2021-12-26 11:31:22	ga_s2am_ard_3-2-1_51LZE_2021-12-26_final.stac-item
2022-01-19 11:13:44	ga_s2am_ard_3-2-1_52KEV_2022-01-19_final.stac-item
2022-01-24 10:26:41	ga_s2am_ard_3-2-1_53HNC_2022-01-24_final.stac-item
2022-02-02 10:53:43	ga_s2am_ard_3-2-1_52KHV_2022-02-02_final.stac-item
2022-03-05 10:26:44	ga_s2am_ard_3-2-1_53HNC_2022-03-05_final.stac-item
2022-04-02 11:25:26	ga_s2am_ard_3-2-1_51JXJ_2022-04-02_final.stac-item
2022-04-17 12:15:03	ga_s2am_ard_3-2-1_49JFM_2022-04-17_final.stac-item
2022-04-29 11:15:01	ga_s2am_ard_3-2-1_51JYL_2022-04-29_final.stac-item
2022-05-12 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2022-05-12_final.stac-item
2022-06-28 11:11:23	ga_s2am_ard_3-2-1_52LGK_2022-06-28_final.stac-item
2022-08-09 11:54:01	ga_s2am_ard_3-2-1_50KNA_2022-08-09_final.stac-item
2022-09-12 11:33:32	ga_s2am_ard_3-2-1_51KUT_2022-09-12_final.stac-item
2022-09-27 10:46:13	ga_s2am_ard_3-2-1_53HME_2022-09-27_final.stac-item
2022-11-11 11:36:35	ga_s2am_ard_3-2-1_51HTE_2022-11-11_final.stac-item
2023-03-31 11:36:12	ga_s2am_ard_3-2-1_51JUF_2023-03-31_final
2023-04-04 11:14:08	ga_s2am_ard_3-2-1_51KZP_2023-04-04_final
2023-05-07 11:23:35	ga_s2am_ard_3-2-1_51KZR_2023-05-07_final
2023-06-04 10:46:10	ga_s2am_ard_3-2-1_53HME_2023-06-04_final
2023-06-22 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-06-22_final
2023-06-26 11:26:18	ga_s2am_ard_3-2-1_51JVF_2023-06-26_final
2023-07-26 11:26:23	ga_s2am_ard_3-2-1_51JUF_2023-07-26_final
2023-09-06 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2023-09-06_final
2023-11-20 11:11:49	ga_s2am_ard_3-2-1_52LDH_2023-11-20_final
2023-11-23 11:21:42	ga_s2am_ard_3-2-1_52LDH_2023-11-23_final
2024-01-16 11:01:09	ga_s2am_ard_3-2-1_52LGK_2024-01-16_final
2024-01-19 11:12:26	ga_s2am_ard_3-2-1_52KEE_2024-01-19_final
2024-01-21 11:56:06	ga_s2am_ard_3-2-1_50JKM_2024-01-21_final
2024-02-06 12:14:27	ga_s2am_ard_3-2-1_49KFP_2024-02-06_nrt
2024-03-06 11:01:43	ga_s2am_ard_3-2-1_52LHH_2024-03-06_final
2024-03-06 11:02:01	ga_s2am_ard_3-2-1_52KGG_2024-03-06_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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