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
2019-03-23 11:01:50	ga_s2am_ard_3-2-1_53KLB_2019-03-23_final.stac-item
2019-03-23 11:01:54	ga_s2am_ard_3-2-1_53KKB_2019-03-23_final.stac-item
2019-03-23 11:01:55	ga_s2am_ard_3-2-1_52KHG_2019-03-23_final.stac-item
2019-03-23 11:01:59	ga_s2am_ard_3-2-1_52KGG_2019-03-23_final.stac-item
2019-03-23 11:02:02	ga_s2am_ard_3-2-1_52KFG_2019-03-23_final.stac-item
2019-03-23 11:02:09	ga_s2am_ard_3-2-1_53KKA_2019-03-23_final.stac-item
2019-03-23 11:02:10	ga_s2am_ard_3-2-1_52KHF_2019-03-23_final.stac-item
2019-03-23 11:02:13	ga_s2am_ard_3-2-1_52KGF_2019-03-23_final.stac-item
2019-03-27 10:41:42	ga_s2am_ard_3-2-1_54KTG_2019-03-27_final.stac-item
2019-03-27 10:41:44	ga_s2am_ard_3-2-1_53KRB_2019-03-27_final
2019-03-27 10:41:48	ga_s2am_ard_3-2-1_53KQB_2019-03-27_final
2019-03-27 10:41:51	ga_s2am_ard_3-2-1_53KPB_2019-03-27_final.stac-item
2019-03-27 10:41:53	ga_s2am_ard_3-2-1_54KTF_2019-03-27_final.stac-item
2019-03-27 10:41:54	ga_s2am_ard_3-2-1_53KNB_2019-03-27_final.stac-item
2019-03-27 10:41:59	ga_s2am_ard_3-2-1_53KRA_2019-03-27_final.stac-item
2019-03-27 10:42:03	ga_s2am_ard_3-2-1_53KQA_2019-03-27_final.stac-item
2019-03-28 10:11:33	ga_s2am_ard_3-2-1_55KCB_2019-03-28_final.stac-item
2019-03-28 10:11:37	ga_s2am_ard_3-2-1_55KBB_2019-03-28_final.stac-item
2019-03-28 10:11:38	ga_s2am_ard_3-2-1_54KZG_2019-03-28_final.stac-item
2019-03-28 10:11:41	ga_s2am_ard_3-2-1_54KYG_2019-03-28_final.stac-item
2019-03-28 10:11:51	ga_s2am_ard_3-2-1_55KBA_2019-03-28_final.stac-item
2019-03-28 10:11:52	ga_s2am_ard_3-2-1_54KZF_2019-03-28_final.stac-item
2019-03-28 10:11:56	ga_s2am_ard_3-2-1_54KYF_2019-03-28_final.stac-item
2019-04-03 10:31:43	ga_s2am_ard_3-2-1_54KVG_2019-04-03_final.stac-item
2019-04-03 10:31:46	ga_s2am_ard_3-2-1_54KUG_2019-04-03_final.stac-item
2019-04-03 10:31:49	ga_s2am_ard_3-2-1_54KTG_2019-04-03_final.stac-item
2019-04-03 10:31:51	ga_s2am_ard_3-2-1_53KRB_2019-04-03_final
2019-04-03 10:32:04	ga_s2am_ard_3-2-1_54KTF_2019-04-03_final.stac-item
2019-04-03 10:32:05	ga_s2am_ard_3-2-1_53KRA_2019-04-03_final.stac-item
2019-04-04 10:01:29	ga_s2am_ard_3-2-1_55KFB_2019-04-04_final.stac-item
2019-04-04 10:01:33	ga_s2am_ard_3-2-1_55KEB_2019-04-04_final.stac-item
2019-04-04 10:01:36	ga_s2am_ard_3-2-1_55KDB_2019-04-04_final.stac-item
2019-04-04 10:01:39	ga_s2am_ard_3-2-1_55KCB_2019-04-04_final.stac-item
2019-04-09 10:51:52	ga_s2am_ard_3-2-1_53KNB_2019-04-09_final.stac-item
2019-04-09 10:51:56	ga_s2am_ard_3-2-1_53KMB_2019-04-09_final.stac-item
2019-04-09 10:51:59	ga_s2am_ard_3-2-1_53KLB_2019-04-09_final.stac-item
2019-04-09 10:52:03	ga_s2am_ard_3-2-1_53KKB_2019-04-09_final.stac-item
2021-01-27 09:41:24	ga_s2am_ard_3-2-1_56KMG_2021-01-27_final
2021-01-27 09:41:27	ga_s2am_ard_3-2-1_56KLG_2021-01-27_final
2021-01-27 09:41:30	ga_s2am_ard_3-2-1_56KKG_2021-01-27_final
2021-01-27 09:41:32	ga_s2am_ard_3-2-1_55KHB_2021-01-27_final
2021-01-27 11:22:01	ga_s2am_ard_3-2-1_52KDG_2021-01-27_final.stac-item
2021-01-27 11:22:05	ga_s2am_ard_3-2-1_52KCG_2021-01-27_final.stac-item
2021-01-27 11:22:08	ga_s2am_ard_3-2-1_52KBG_2021-01-27_final.stac-item
2021-01-27 11:22:09	ga_s2am_ard_3-2-1_51KZB_2021-01-27_final.stac-item
2021-01-27 11:22:12	ga_s2am_ard_3-2-1_51KYB_2021-01-27_final.stac-item
2021-01-27 11:22:23	ga_s2am_ard_3-2-1_52KBF_2021-01-27_final.stac-item
2021-01-27 11:22:24	ga_s2am_ard_3-2-1_51KZA_2021-01-27_final.stac-item
2021-01-27 11:22:27	ga_s2am_ard_3-2-1_51KYA_2021-01-27_final.stac-item
2021-02-01 10:31:42	ga_s2am_ard_3-2-1_54KVG_2021-02-01_final.stac-item
2021-02-01 10:31:46	ga_s2am_ard_3-2-1_54KUG_2021-02-01_final.stac-item
2021-02-01 10:31:49	ga_s2am_ard_3-2-1_54KTG_2021-02-01_final.stac-item
2021-02-01 10:31:50	ga_s2am_ard_3-2-1_53KRB_2021-02-01_final
2021-02-01 10:32:03	ga_s2am_ard_3-2-1_54KTF_2021-02-01_final.stac-item
2021-02-01 10:32:04	ga_s2am_ard_3-2-1_53KRA_2021-02-01_final.stac-item
2021-09-27 09:51:29	ga_s2am_ard_3-2-1_56KKG_2021-09-27_final
2021-09-27 09:51:30	ga_s2am_ard_3-2-1_55KHB_2021-09-27_final
2021-09-27 09:51:34	ga_s2am_ard_3-2-1_55KGB_2021-09-27_final.stac-item
2021-09-27 09:51:37	ga_s2am_ard_3-2-1_55KFB_2021-09-27_final.stac-item
2021-09-27 09:51:44	ga_s2am_ard_3-2-1_56KKF_2021-09-27_final.stac-item
2021-09-28 11:01:56	ga_s2am_ard_3-2-1_53KLB_2021-09-28_final.stac-item
2021-09-28 11:02:00	ga_s2am_ard_3-2-1_53KKB_2021-09-28_final.stac-item
2021-09-28 11:02:01	ga_s2am_ard_3-2-1_52KHG_2021-09-28_final.stac-item
2021-09-28 11:02:04	ga_s2am_ard_3-2-1_52KGG_2021-09-28_final.stac-item
2021-09-28 11:02:08	ga_s2am_ard_3-2-1_52KFG_2021-09-28_final.stac-item
2021-09-28 11:02:14	ga_s2am_ard_3-2-1_53KKA_2021-09-28_final.stac-item
2021-09-28 11:02:16	ga_s2am_ard_3-2-1_52KHF_2021-09-28_final.stac-item
2021-09-28 11:02:19	ga_s2am_ard_3-2-1_52KGF_2021-09-28_final.stac-item
2021-10-05 10:51:55	ga_s2am_ard_3-2-1_53KNB_2021-10-05_final.stac-item
2021-10-05 10:51:59	ga_s2am_ard_3-2-1_53KMB_2021-10-05_final.stac-item
2021-10-05 10:52:02	ga_s2am_ard_3-2-1_53KLB_2021-10-05_final.stac-item
2021-10-05 10:52:06	ga_s2am_ard_3-2-1_53KKB_2021-10-05_final.stac-item
2021-10-07 09:51:30	ga_s2am_ard_3-2-1_56KKG_2021-10-07_final
2021-10-07 09:51:31	ga_s2am_ard_3-2-1_55KHB_2021-10-07_final
2021-10-07 09:51:35	ga_s2am_ard_3-2-1_55KGB_2021-10-07_final.stac-item
2021-10-07 09:51:38	ga_s2am_ard_3-2-1_55KFB_2021-10-07_final.stac-item
2021-10-07 09:51:45	ga_s2am_ard_3-2-1_56KKF_2021-10-07_final.stac-item
2021-10-14 09:41:29	ga_s2am_ard_3-2-1_56KMG_2021-10-14_final
2021-10-14 09:41:32	ga_s2am_ard_3-2-1_56KLG_2021-10-14_final
2021-10-14 09:41:35	ga_s2am_ard_3-2-1_56KKG_2021-10-14_final
2021-10-14 09:41:37	ga_s2am_ard_3-2-1_55KHB_2021-10-14_final
2021-10-15 10:51:56	ga_s2am_ard_3-2-1_53KNB_2021-10-15_final.stac-item
2021-10-15 10:52:00	ga_s2am_ard_3-2-1_53KMB_2021-10-15_final.stac-item
2021-10-15 10:52:03	ga_s2am_ard_3-2-1_53KLB_2021-10-15_final.stac-item
2021-10-15 10:52:07	ga_s2am_ard_3-2-1_53KKB_2021-10-15_final.stac-item
2021-10-18 11:01:57	ga_s2am_ard_3-2-1_53KLB_2021-10-18_final.stac-item
2021-10-18 11:02:01	ga_s2am_ard_3-2-1_53KKB_2021-10-18_final.stac-item
2021-10-18 11:02:05	ga_s2am_ard_3-2-1_52KGG_2021-10-18_final.stac-item
2021-10-18 11:02:10	ga_s2am_ard_3-2-1_53KKA_2021-10-18_final.stac-item
2021-10-18 11:02:12	ga_s2am_ard_3-2-1_52KGF_2021-10-18_final.stac-item
2021-10-18 11:02:12	ga_s2am_ard_3-2-1_52KGG_2021-10-18_final.stac-item
2021-10-18 11:02:13	ga_s2am_ard_3-2-1_52KFG_2021-10-18_final.stac-item
2021-10-18 11:02:18	ga_s2am_ard_3-2-1_52KHF_2021-10-18_final.stac-item
2021-10-18 11:02:21	ga_s2am_ard_3-2-1_52KGF_2021-10-18_final.stac-item
2021-10-23 10:11:39	ga_s2am_ard_3-2-1_55KCB_2021-10-23_final.stac-item
2021-10-23 10:11:42	ga_s2am_ard_3-2-1_55KBB_2021-10-23_final.stac-item
2021-10-23 10:11:43	ga_s2am_ard_3-2-1_54KZG_2021-10-23_final.stac-item
2021-10-23 10:11:47	ga_s2am_ard_3-2-1_54KYG_2021-10-23_final.stac-item
2021-10-23 10:11:57	ga_s2am_ard_3-2-1_55KBA_2021-10-23_final.stac-item
2021-10-23 10:11:58	ga_s2am_ard_3-2-1_54KZF_2021-10-23_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

All years