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
2015-12-26 10:54:12	ga_s2am_ard_3-2-1_53KMP_2015-12-26_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KZV_2016-05-23_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KWV_2016-06-25_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KDB_2016-09-27_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51JWG_2017-01-18_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGN_2017-01-20_final.stac-item
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_51KVA_2017-03-05_final.stac-item
2017-05-08 09:47:14	ga_s2am_ard_3-2-1_54GYA_2017-05-08_final.stac-item
2017-08-17 10:52:18	ga_s2am_ard_3-2-1_53KKT_2017-08-17_final.stac-item
2017-10-05 11:16:57	ga_s2am_ard_3-2-1_52LBJ_2017-10-05_final.stac-item
2017-11-03 10:13:41	ga_s2am_ard_3-2-1_54HVH_2017-11-03_final.stac-item
2017-11-22 10:37:23	ga_s2am_ard_3-2-1_53LQC_2017-11-22_final
2018-01-19 10:05:45	ga_s2am_ard_3-2-1_54HXK_2018-01-19_final.stac-item
2018-02-12 11:16:56	ga_s2am_ard_3-2-1_52KBU_2018-02-12_final.stac-item
2018-03-04 11:16:56	ga_s2am_ard_3-2-1_51KZA_2018-03-04_final.stac-item
2018-05-25 10:17:08	ga_s2am_ard_3-2-1_53HQB_2018-05-25_final.stac-item
2018-06-23 10:47:25	ga_s2am_ard_3-2-1_53LPF_2018-06-23_final.stac-item
2018-07-15 09:50:55	ga_s2am_ard_3-2-1_54HYB_2018-07-15_final.stac-item
2018-08-13 10:17:05	ga_s2am_ard_3-2-1_54HTF_2018-08-13_final.stac-item
2018-09-12 10:21:59	ga_s2am_ard_3-2-1_53JRN_2018-09-12_final.stac-item
2018-11-03 10:57:12	ga_s2am_ard_3-2-1_52LHM_2018-11-03_final.stac-item
2018-11-27 10:45:35	ga_s2am_ard_3-2-1_53JKG_2018-11-27_final.stac-item
2018-12-21 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-21_final.stac-item
2019-02-18 10:52:30	ga_s2am_ard_3-2-1_53KNU_2019-02-18_final.stac-item
2019-02-27 11:23:45	ga_s2am_ard_3-2-1_52KBV_2019-02-27_final.stac-item
2019-02-28 10:55:34	ga_s2am_ard_3-2-1_53JKG_2019-02-28_final.stac-item
2019-03-13 11:02:54	ga_s2am_ard_3-2-1_52KGC_2019-03-13_final.stac-item
2019-05-23 10:33:49	ga_s2am_ard_3-2-1_53KRP_2019-05-23_final.stac-item
2019-06-04 11:15:24	ga_s2am_ard_3-2-1_52JBP_2019-06-04_final.stac-item
2019-06-14 11:13:07	ga_s2am_ard_3-2-1_52KDC_2019-06-14_final.stac-item
2019-06-14 11:13:33	ga_s2am_ard_3-2-1_52KEA_2019-06-14_final.stac-item
2019-07-12 10:34:38	ga_s2am_ard_3-2-1_53JQL_2019-07-12_final.stac-item
2019-10-07 10:25:05	ga_s2am_ard_3-2-1_54JTP_2019-10-07_final.stac-item
2019-11-26 10:24:01	ga_s2am_ard_3-2-1_54JUT_2019-11-26_final.stac-item
2019-12-04 11:23:55	ga_s2am_ard_3-2-1_51KXQ_2019-12-04_final.stac-item
2019-12-14 11:24:28	ga_s2am_ard_3-2-1_52JBS_2019-12-14_final.stac-item
2020-01-07 11:00:39	ga_s2am_ard_3-2-1_52LHM_2020-01-07_final.stac-item
2020-01-16 11:34:43	ga_s2am_ard_3-2-1_51JTM_2020-01-16_final.stac-item
2020-01-28 12:13:32	ga_s2am_ard_3-2-1_50KKB_2020-01-28_final.stac-item
2020-03-06 09:56:53	ga_s2am_ard_3-2-1_54HXF_2020-03-06_final.stac-item
2020-05-02 11:23:57	ga_s2am_ard_3-2-1_51KYQ_2020-05-02_final.stac-item
2020-05-20 10:41:14	ga_s2am_ard_3-2-1_53LPE_2020-05-20_final.stac-item
2020-06-06 10:35:07	ga_s2am_ard_3-2-1_53JQJ_2020-06-06_final.stac-item
2020-06-11 11:23:09	ga_s2am_ard_3-2-1_52KCC_2020-06-11_final.stac-item
2020-06-18 11:13:28	ga_s2am_ard_3-2-1_52KCB_2020-06-18_final.stac-item
2020-06-23 12:04:04	ga_s2am_ard_3-2-1_50KKA_2020-06-23_final.stac-item
2020-07-11 11:25:17	ga_s2am_ard_3-2-1_51JWK_2020-07-11_final.stac-item
2020-07-13 10:25:40	ga_s2am_ard_3-2-1_54JVL_2020-07-13_final.stac-item
2020-09-01 10:26:55	ga_s2am_ard_3-2-1_53HPB_2020-09-01_final.stac-item
2020-09-17 10:45:04	ga_s2am_ard_3-2-1_53JKK_2020-09-17_final.stac-item
2020-09-21 10:24:21	ga_s2am_ard_3-2-1_54JUS_2020-09-21_final.stac-item
2020-11-25 11:14:10	ga_s2am_ard_3-2-1_51KZP_2020-11-25_final.stac-item
2021-02-23 11:13:04	ga_s2am_ard_3-2-1_52KDC_2021-02-23_final.stac-item
2021-04-12 12:13:49	ga_s2am_ard_3-2-1_50KKA_2021-04-12_final.stac-item
2021-05-04 11:13:49	ga_s2am_ard_3-2-1_52KCV_2021-05-04_final.stac-item
2021-06-01 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-01_final.stac-item
2021-07-16 11:23:09	ga_s2am_ard_3-2-1_52KBC_2021-07-16_final.stac-item
2021-08-31 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-08-31_final.stac-item
2021-10-06 10:25:25	ga_s2am_ard_3-2-1_53JQH_2021-10-06_final.stac-item
2021-10-10 10:06:55	ga_s2am_ard_3-2-1_54HYF_2021-10-10_final.stac-item
2021-10-30 11:43:09	ga_s2am_ard_3-2-1_50KRD_2021-10-30_final.stac-item
2021-11-05 10:26:50	ga_s2am_ard_3-2-1_53HQB_2021-11-05_final.stac-item
2022-02-27 10:07:15	ga_s2am_ard_3-2-1_54HWE_2022-02-27_final.stac-item
2022-03-08 10:34:33	ga_s2am_ard_3-2-1_54JTR_2022-03-08_final.stac-item
2022-03-19 11:42:49	ga_s2am_ard_3-2-1_51KUV_2022-03-19_final.stac-item
2022-03-24 10:52:29	ga_s2am_ard_3-2-1_53KLV_2022-03-24_final.stac-item
2022-03-29 11:45:14	ga_s2am_ard_3-2-1_50JNR_2022-03-29_final.stac-item
2022-04-03 10:51:06	ga_s2am_ard_3-2-1_53LPE_2022-04-03_final.stac-item
2022-04-21 11:55:43	ga_s2am_ard_3-2-1_50JMP_2022-04-21_final.stac-item
2022-04-29 11:15:23	ga_s2am_ard_3-2-1_52JCP_2022-04-29_final.stac-item
2022-05-09 11:14:21	ga_s2am_ard_3-2-1_52JDT_2022-05-09_final.stac-item
2022-05-15 09:57:50	ga_s2am_ard_3-2-1_54HWC_2022-05-15_final.stac-item
2022-05-19 11:12:59	ga_s2am_ard_3-2-1_52KFC_2022-05-19_final.stac-item
2022-06-10 10:17:14	ga_s2am_ard_3-2-1_53HQA_2022-06-10_final.stac-item
2022-08-07 11:10:54	ga_s2am_ard_3-2-1_52LGM_2022-08-07_final.stac-item
2022-08-19 10:16:40	ga_s2am_ard_3-2-1_54HVH_2022-08-19_final.stac-item
2022-09-19 11:26:01	ga_s2am_ard_3-2-1_51JXG_2022-09-19_final.stac-item
2022-10-15 11:43:22	ga_s2am_ard_3-2-1_51KTT_2022-10-15_final.stac-item
2022-12-03 10:33:37	ga_s2am_ard_3-2-1_53KQQ_2022-12-03_final.stac-item
2022-12-15 11:13:19	ga_s2am_ard_3-2-1_52KDB_2022-12-15_final.stac-item
2023-01-02 10:35:51	ga_s2am_ard_3-2-1_53JNF_2023-01-02_final.stac-item
2023-01-19 10:24:14	ga_s2am_ard_3-2-1_54JTS_2023-01-19_final.stac-item
2023-01-20 11:33:40	ga_s2am_ard_3-2-1_51KVR_2023-01-20_final.stac-item
2023-02-03 11:15:20	ga_s2am_ard_3-2-1_52JBP_2023-02-03_final.stac-item
2023-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-02-21_final
2023-03-16 10:42:33	ga_s2am_ard_3-2-1_53KPU_2023-03-16_final
2023-04-10 11:33:34	ga_s2am_ard_3-2-1_51KUS_2023-04-10_final
2023-06-23 11:11:48	ga_s2am_ard_3-2-1_52LFH_2023-06-23_final
2023-07-02 11:44:18	ga_s2am_ard_3-2-1_51KUP_2023-07-02_final
2023-07-09 11:33:43	ga_s2am_ard_3-2-1_51KXR_2023-07-09_final
2023-08-12 11:11:06	ga_s2am_ard_3-2-1_52LFL_2023-08-12_final
2023-09-04 11:24:17	ga_s2am_ard_3-2-1_51KXP_2023-09-04_final
2023-09-18 11:03:38	ga_s2am_ard_3-2-1_52KEA_2023-09-18_final
2023-11-27 11:02:48	ga_s2am_ard_3-2-1_53KKT_2023-11-27_final
2023-12-10 11:10:24	ga_s2am_ard_3-2-1_52LGN_2023-12-10_final
2023-12-31 10:46:03	ga_s2am_ard_3-2-1_53HME_2023-12-31_final
2024-01-19 11:13:39	ga_s2am_ard_3-2-1_52KDV_2024-01-19_final
2024-01-21 11:56:44	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final
2024-02-10 10:17:00	ga_s2am_ard_3-2-1_54HWE_2024-02-10_final
2024-02-29 10:45:55	ga_s2am_ard_3-2-1_53JLF_2024-02-29_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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