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
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KVF_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KWF_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KXF_2016-02-05_final.stac-item
2016-02-05 10:20:28	ga_s2am_ard_3-2-1_54KYF_2016-02-05_final.stac-item
2016-03-07 09:47:33	ga_s2am_ard_3-2-1_56KKF_2016-03-07_final.stac-item
2016-03-07 09:47:33	ga_s2am_ard_3-2-1_55KFA_2016-03-07_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KVA_2016-03-07_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KWA_2016-03-07_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KXA_2016-03-07_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KYA_2016-03-07_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KUA_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KVA_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KWA_2016-03-20_final.stac-item
2016-03-21 09:28:09	ga_s2am_ard_3-2-1_56KMF_2016-03-20_final.stac-item
2016-04-16 09:51:00	ga_s2am_ard_3-2-1_56KKF_2016-04-16_final.stac-item
2016-04-16 09:51:00	ga_s2am_ard_3-2-1_55KFA_2016-04-16_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_53KKA_2016-04-27_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52KFF_2016-04-27_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52KGF_2016-04-27_final.stac-item
2016-04-27 11:01:40	ga_s2am_ard_3-2-1_52KHF_2016-04-27_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54KTF_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54KUF_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_54KVF_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_53KQA_2016-04-28_final.stac-item
2016-04-28 10:28:01	ga_s2am_ard_3-2-1_53KRA_2016-04-28_final.stac-item
2016-04-29 10:00:36	ga_s2am_ard_3-2-1_55KCA_2016-04-29_final.stac-item
2016-04-29 10:00:36	ga_s2am_ard_3-2-1_55KDA_2016-04-29_final.stac-item
2016-04-29 10:00:36	ga_s2am_ard_3-2-1_55KFA_2016-04-29_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_51KYA_2016-05-03_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_51KZA_2016-05-03_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_52KBF_2016-05-03_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_52KCF_2016-05-03_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_52KDF_2016-05-03_final.stac-item
2016-05-04 10:47:30	ga_s2am_ard_3-2-1_53KKA_2016-05-04_final.stac-item
2016-05-04 10:47:30	ga_s2am_ard_3-2-1_53KLA_2016-05-04_final.stac-item
2016-05-04 10:47:30	ga_s2am_ard_3-2-1_53KMA_2016-05-04_final.stac-item
2016-05-04 10:47:30	ga_s2am_ard_3-2-1_53KNA_2016-05-04_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_53KKA_2016-05-04_final.stac-item
2016-05-04 10:52:08	ga_s2am_ard_3-2-1_53KLA_2016-05-04_final.stac-item
2016-05-06 09:51:10	ga_s2am_ard_3-2-1_56KKF_2016-05-06_final.stac-item
2016-05-06 09:51:10	ga_s2am_ard_3-2-1_55KFA_2016-05-06_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KPF_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQF_2016-05-22_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KYA_2016-05-23_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_51KZA_2016-05-23_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_52KBF_2016-05-23_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_52KCF_2016-05-23_final.stac-item
2016-05-23 11:17:05	ga_s2am_ard_3-2-1_52KDF_2016-05-23_final.stac-item
2017-04-01 09:51:01	ga_s2am_ard_3-2-1_56KKF_2017-04-01_final.stac-item
2017-04-01 09:51:01	ga_s2am_ard_3-2-1_55KFA_2017-04-01_final.stac-item
2017-04-02 10:57:12	ga_s2am_ard_3-2-1_53KKA_2017-04-02_final.stac-item
2017-04-02 10:57:12	ga_s2am_ard_3-2-1_53KLA_2017-04-02_final.stac-item
2017-04-02 10:57:12	ga_s2am_ard_3-2-1_52KFF_2017-04-02_final.stac-item
2017-04-02 10:57:12	ga_s2am_ard_3-2-1_52KGF_2017-04-02_final.stac-item
2017-04-02 10:57:12	ga_s2am_ard_3-2-1_52KHF_2017-04-02_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50KQF_2017-04-07_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50KPF_2017-04-07_final
2017-04-11 09:51:04	ga_s2am_ard_3-2-1_56KKF_2017-04-11_final.stac-item
2017-04-11 09:51:04	ga_s2am_ard_3-2-1_55KFA_2017-04-11_final.stac-item
2017-04-13 10:27:07	ga_s2am_ard_3-2-1_54KTF_2017-04-13_final.stac-item
2017-04-13 10:27:07	ga_s2am_ard_3-2-1_54KUF_2017-04-13_final.stac-item
2017-04-13 10:27:07	ga_s2am_ard_3-2-1_54KVF_2017-04-13_final.stac-item
2017-04-13 10:27:07	ga_s2am_ard_3-2-1_53KQA_2017-04-13_final.stac-item
2017-04-13 10:27:07	ga_s2am_ard_3-2-1_53KRA_2017-04-13_final.stac-item
2017-04-14 10:00:32	ga_s2am_ard_3-2-1_55KCA_2017-04-14_final.stac-item
2017-04-14 10:00:32	ga_s2am_ard_3-2-1_55KDA_2017-04-14_final.stac-item
2017-04-14 10:00:32	ga_s2am_ard_3-2-1_55KFA_2017-04-14_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KCF_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KDF_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KEF_2017-04-15_final.stac-item
2017-04-15 11:12:01	ga_s2am_ard_3-2-1_52KFF_2017-04-15_final.stac-item
2017-04-21 09:51:06	ga_s2am_ard_3-2-1_56KKF_2017-04-21_final.stac-item
2017-04-21 09:51:06	ga_s2am_ard_3-2-1_55KFA_2017-04-21_final.stac-item
2017-04-30 10:17:08	ga_s2am_ard_3-2-1_54KVF_2017-04-30_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52KCF_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52KDF_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52KEF_2017-05-05_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52KFF_2017-05-05_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54KXF_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54KYF_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54KZF_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_55KBA_2017-05-07_final.stac-item
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_55KCA_2017-05-07_final.stac-item
2019-07-20 11:32:27	ga_s2am_ard_3-2-1_51KYA_2019-07-20_final.stac-item
2019-07-20 11:32:31	ga_s2am_ard_3-2-1_51KXA_2019-07-20_final.stac-item
2019-07-20 11:32:34	ga_s2am_ard_3-2-1_51KWA_2019-07-20_final.stac-item
2019-07-20 11:32:37	ga_s2am_ard_3-2-1_51KVA_2019-07-20_final.stac-item
2019-07-30 11:32:27	ga_s2am_ard_3-2-1_51KYA_2019-07-30_final.stac-item
2019-07-30 11:32:30	ga_s2am_ard_3-2-1_51KXA_2019-07-30_final.stac-item
2019-07-30 11:32:34	ga_s2am_ard_3-2-1_51KWA_2019-07-30_final.stac-item
2019-07-30 11:32:37	ga_s2am_ard_3-2-1_51KVA_2019-07-30_final.stac-item
2019-08-02 11:42:26	ga_s2am_ard_3-2-1_51KWA_2019-08-02_final.stac-item
2019-08-02 11:42:32	ga_s2am_ard_3-2-1_51KVA_2019-08-02_final.stac-item
2019-08-02 11:42:36	ga_s2am_ard_3-2-1_51KUA_2019-08-02_final.stac-item
2019-08-09 11:32:26	ga_s2am_ard_3-2-1_51KYA_2019-08-09_final.stac-item
2019-08-09 11:32:30	ga_s2am_ard_3-2-1_51KXA_2019-08-09_final.stac-item
2019-08-09 11:32:33	ga_s2am_ard_3-2-1_51KWA_2019-08-09_final.stac-item
2019-08-09 11:32:36	ga_s2am_ard_3-2-1_51KVA_2019-08-09_final.stac-item
2019-08-12 11:42:25	ga_s2am_ard_3-2-1_51KWA_2019-08-12_final.stac-item
2019-08-12 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-08-12_final.stac-item

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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