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
2015-08-11 11:02:43	ga_s2am_ard_3-2-1_52KEV_2015-08-11_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KXT_2016-01-07_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTL_2016-03-20_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52JBL_2016-04-27_final.stac-item
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_53HQB_2016-07-31_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JLM_2016-09-12_final.stac-item
2016-09-27 11:11:31	ga_s2am_ard_3-2-1_52KBA_2016-09-27_final.stac-item
2016-10-10 11:22:34	ga_s2am_ard_3-2-1_51KXS_2016-10-10_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGR_2017-02-12_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51HVD_2017-03-19_final.stac-item
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KMB_2017-04-27_final.stac-item
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52KFB_2017-06-21_final.stac-item
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_50KKU_2017-09-07_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51HUE_2017-09-15_final.stac-item
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JLM_2017-09-24_final.stac-item
2017-10-10 10:32:09	ga_s2am_ard_3-2-1_53HLD_2017-10-10_final.stac-item
2017-11-08 10:57:14	ga_s2am_ard_3-2-1_52KFC_2017-11-08_final.stac-item
2018-01-07 10:57:08	ga_s2am_ard_3-2-1_52LHK_2018-01-07_final.stac-item
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52KBA_2018-01-20_final.stac-item
2018-01-20 11:11:55	ga_s2am_ard_3-2-1_52KEB_2018-01-20_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50JMM_2018-02-08_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KYT_2018-02-25_final.stac-item
2018-03-05 10:55:14	ga_s2am_ard_3-2-1_52JFL_2018-03-05_final.stac-item
2018-03-11 11:12:00	ga_s2am_ard_3-2-1_52KEE_2018-03-11_final.stac-item
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KVU_2018-05-06_final.stac-item
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51KWA_2018-05-09_final.stac-item
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52JCL_2018-06-19_final.stac-item
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_52KCA_2018-06-29_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-07-04_final.stac-item
2018-08-23 10:17:05	ga_s2am_ard_3-2-1_53HQC_2018-08-23_final.stac-item
2018-08-25 10:57:15	ga_s2am_ard_3-2-1_52JDR_2018-08-25_final.stac-item
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50KKU_2018-10-02_final.stac-item
2018-10-15 10:27:05	ga_s2am_ard_3-2-1_53HPB_2018-10-15_final.stac-item
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KEA_2018-10-27_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_51KWT_2018-11-02_final.stac-item
2019-01-24 11:44:37	ga_s2am_ard_3-2-1_51JUM_2019-01-24_final.stac-item
2019-03-11 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-03-11_final.stac-item
2019-03-12 11:32:56	ga_s2am_ard_3-2-1_51KYT_2019-03-12_final.stac-item
2019-04-12 11:03:04	ga_s2am_ard_3-2-1_52KFC_2019-04-12_final.stac-item
2019-05-01 11:32:47	ga_s2am_ard_3-2-1_51KWV_2019-05-01_final.stac-item
2019-06-01 11:03:22	ga_s2am_ard_3-2-1_52KEB_2019-06-01_final.stac-item
2019-06-14 11:13:42	ga_s2am_ard_3-2-1_52KBA_2019-06-14_final.stac-item
2019-08-07 10:55:43	ga_s2am_ard_3-2-1_53JKG_2019-08-07_final.stac-item
2019-08-30 11:06:11	ga_s2am_ard_3-2-1_52JBL_2019-08-30_final.stac-item
2019-09-16 10:55:45	ga_s2am_ard_3-2-1_52JFM_2019-09-16_final.stac-item
2019-10-19 11:00:34	ga_s2am_ard_3-2-1_52LHN_2019-10-19_final.stac-item
2019-11-01 11:15:40	ga_s2am_ard_3-2-1_52JBN_2019-11-01_final.stac-item
2019-12-01 11:14:08	ga_s2am_ard_3-2-1_51KZP_2019-12-01_final.stac-item
2019-12-20 11:44:10	ga_s2am_ard_3-2-1_50KRU_2019-12-20_final.stac-item
2020-01-20 11:11:20	ga_s2am_ard_3-2-1_52LGJ_2020-01-20_final.stac-item
2020-01-30 11:13:47	ga_s2am_ard_3-2-1_52KBV_2020-01-30_final.stac-item
2020-02-02 11:23:17	ga_s2am_ard_3-2-1_51KYS_2020-02-02_final.stac-item
2020-05-15 11:33:06	ga_s2am_ard_3-2-1_51KVU_2020-05-15_final.stac-item
2020-05-30 10:45:53	ga_s2am_ard_3-2-1_52JGM_2020-05-30_final.stac-item
2020-06-17 11:45:49	ga_s2am_ard_3-2-1_51JTH_2020-06-17_final.stac-item
2020-06-22 10:56:06	ga_s2am_ard_3-2-1_52JFL_2020-06-22_final.stac-item
2020-07-04 11:35:53	ga_s2am_ard_3-2-1_51JTH_2020-07-04_final.stac-item
2020-09-19 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2020-09-19_final.stac-item
2020-10-02 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-10-02_final.stac-item
2020-10-19 11:26:06	ga_s2am_ard_3-2-1_51JVG_2020-10-19_final.stac-item
2020-10-31 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-31_final.stac-item
2020-12-20 12:04:26	ga_s2am_ard_3-2-1_50KKU_2020-12-20_final.stac-item
2021-01-31 11:00:59	ga_s2am_ard_3-2-1_52LHL_2021-01-31_final.stac-item
2021-02-03 11:16:26	ga_s2am_ard_3-2-1_51HXE_2021-02-03_final.stac-item
2021-02-13 11:13:47	ga_s2am_ard_3-2-1_52KDV_2021-02-13_final.stac-item
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-03-20_final.stac-item
2021-05-31 11:03:54	ga_s2am_ard_3-2-1_52KDV_2021-05-31_final.stac-item
2021-06-22 11:42:22	ga_s2am_ard_3-2-1_51KWA_2021-06-22_final.stac-item
2021-07-02 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2021-07-02_final.stac-item
2021-07-13 11:13:25	ga_s2am_ard_3-2-1_52KCB_2021-07-13_final.stac-item
2021-07-24 10:45:50	ga_s2am_ard_3-2-1_52JGM_2021-07-24_final.stac-item
2021-08-08 11:34:17	ga_s2am_ard_3-2-1_51KVP_2021-08-08_final.stac-item
2021-08-08 11:35:29	ga_s2am_ard_3-2-1_51JVJ_2021-08-08_final.stac-item
2021-08-25 11:23:23	ga_s2am_ard_3-2-1_51KZS_2021-08-25_final.stac-item
2021-10-04 11:23:54	ga_s2am_ard_3-2-1_51KZQ_2021-10-04_final.stac-item
2022-01-02 11:25:40	ga_s2am_ard_3-2-1_51JXH_2022-01-02_final.stac-item
2022-03-03 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-03-03_final.stac-item
2022-03-30 11:12:56	ga_s2am_ard_3-2-1_52KFC_2022-03-30_final.stac-item
2022-04-04 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-04-04_final.stac-item
2022-05-04 10:26:41	ga_s2am_ard_3-2-1_53HPC_2022-05-04_final.stac-item
2022-06-17 11:43:08	ga_s2am_ard_3-2-1_51KVU_2022-06-17_final.stac-item
2022-08-14 11:04:55	ga_s2am_ard_3-2-1_52JFR_2022-08-14_final.stac-item
2022-08-22 10:27:14	ga_s2am_ard_3-2-1_53HQA_2022-08-22_final.stac-item
2022-09-01 12:05:27	ga_s2am_ard_3-2-1_49JGL_2022-09-01_final.stac-item
2022-10-21 10:26:48	ga_s2am_ard_3-2-1_53HQB_2022-10-21_final.stac-item
2022-11-16 10:46:26	ga_s2am_ard_3-2-1_53HLD_2022-11-16_final.stac-item
2022-12-15 11:13:25	ga_s2am_ard_3-2-1_52KBB_2022-12-15_final.stac-item
2022-12-25 11:11:28	ga_s2am_ard_3-2-1_52LFJ_2022-12-25_final.stac-item
2022-12-27 11:57:13	ga_s2am_ard_3-2-1_49HGC_2022-12-27_nrt.stac-item
2023-02-18 12:03:20	ga_s2am_ard_3-2-1_50KMC_2023-02-18_final
2023-02-23 11:12:29	ga_s2am_ard_3-2-1_52KEE_2023-02-23_final
2023-03-28 11:23:01	ga_s2am_ard_3-2-1_52KCC_2023-03-28_final
2023-06-03 11:15:57	ga_s2am_ard_3-2-1_51JYG_2023-06-03_final
2023-09-20 11:47:12	ga_s2am_ard_3-2-1_50HMH_2023-09-20_final
2023-10-30 11:46:29	ga_s2am_ard_3-2-1_50HQK_2023-10-30_final
2023-11-26 11:32:57	ga_s2am_ard_3-2-1_51KYT_2023-11-26_final
2024-01-13 10:55:25	ga_s2am_ard_3-2-1_52JFN_2024-01-13_final
2024-03-26 11:06:34	ga_s2am_ard_3-2-1_52HBJ_2024-03-26_final
2024-04-22 10:55:20	ga_s2am_ard_3-2-1_52JFP_2024-04-22_final
2024-04-24 11:33:55	ga_s2am_ard_3-2-1_51KXQ_2024-04-24_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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