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
2020-02-26 11:00:25	ga_s2am_ard_3-2-1_52LHN_2020-02-26_final.stac-item
2020-02-26 11:00:40	ga_s2am_ard_3-2-1_52LHM_2020-02-26_final.stac-item
2020-02-26 11:00:54	ga_s2am_ard_3-2-1_52LHL_2020-02-26_final.stac-item
2020-02-26 11:01:09	ga_s2am_ard_3-2-1_52LHK_2020-02-26_final.stac-item
2020-02-26 11:01:12	ga_s2am_ard_3-2-1_52LGK_2020-02-26_final.stac-item
2020-02-26 11:01:23	ga_s2am_ard_3-2-1_52LHJ_2020-02-26_final.stac-item
2020-02-26 11:01:27	ga_s2am_ard_3-2-1_52LGJ_2020-02-26_final.stac-item
2020-02-26 11:01:37	ga_s2am_ard_3-2-1_52LHH_2020-02-26_final.stac-item
2020-02-26 11:01:39	ga_s2am_ard_3-2-1_52LGH_2020-02-26_final.stac-item
2020-02-26 11:01:44	ga_s2am_ard_3-2-1_52LHH_2020-02-26_final.stac-item
2020-02-26 11:01:45	ga_s2am_ard_3-2-1_52LGH_2020-02-26_final.stac-item
2020-02-26 11:01:52	ga_s2am_ard_3-2-1_52KHG_2020-02-26_final.stac-item
2020-02-26 11:01:55	ga_s2am_ard_3-2-1_52KGG_2020-02-26_final.stac-item
2020-02-26 11:02:07	ga_s2am_ard_3-2-1_52KHF_2020-02-26_final.stac-item
2020-02-26 11:02:10	ga_s2am_ard_3-2-1_52KGF_2020-02-26_final.stac-item
2020-02-26 11:02:21	ga_s2am_ard_3-2-1_52KHE_2020-02-26_final.stac-item
2020-02-26 11:02:24	ga_s2am_ard_3-2-1_52KGE_2020-02-26_final.stac-item
2020-02-26 11:02:35	ga_s2am_ard_3-2-1_52KHD_2020-02-26_final.stac-item
2020-02-26 11:02:39	ga_s2am_ard_3-2-1_52KGD_2020-02-26_final.stac-item
2020-02-26 11:02:50	ga_s2am_ard_3-2-1_52KHC_2020-02-26_final.stac-item
2020-02-26 11:02:53	ga_s2am_ard_3-2-1_52KGC_2020-02-26_final.stac-item
2020-02-26 11:03:08	ga_s2am_ard_3-2-1_52KGB_2020-02-26_final.stac-item
2020-02-26 11:03:22	ga_s2am_ard_3-2-1_52KGA_2020-02-26_final.stac-item
2020-02-26 11:03:37	ga_s2am_ard_3-2-1_52KGV_2020-02-26_final.stac-item
2020-02-29 11:10:20	ga_s2am_ard_3-2-1_52LHN_2020-02-29_final.stac-item
2020-02-29 11:10:33	ga_s2am_ard_3-2-1_52LHM_2020-02-29_final.stac-item
2020-03-01 10:45:39	ga_s2am_ard_3-2-1_53JKG_2020-03-01_final.stac-item
2020-03-01 10:45:42	ga_s2am_ard_3-2-1_52JGM_2020-03-01_final.stac-item
2020-03-01 10:45:53	ga_s2am_ard_3-2-1_53JKF_2020-03-01_final.stac-item
2020-03-01 10:45:56	ga_s2am_ard_3-2-1_52JGL_2020-03-01_final.stac-item
2020-03-07 11:02:07	ga_s2am_ard_3-2-1_52KHF_2020-03-07_final.stac-item
2020-03-07 11:02:11	ga_s2am_ard_3-2-1_52KGF_2020-03-07_final.stac-item
2020-03-07 11:02:22	ga_s2am_ard_3-2-1_52KHE_2020-03-07_final.stac-item
2020-03-07 11:02:25	ga_s2am_ard_3-2-1_52KGE_2020-03-07_final.stac-item
2020-03-07 11:02:36	ga_s2am_ard_3-2-1_52KHD_2020-03-07_final.stac-item
2020-03-07 11:02:40	ga_s2am_ard_3-2-1_52KGD_2020-03-07_final.stac-item
2020-03-07 11:02:51	ga_s2am_ard_3-2-1_52KHC_2020-03-07_final.stac-item
2020-03-07 11:02:54	ga_s2am_ard_3-2-1_52KGC_2020-03-07_final.stac-item
2020-03-07 11:03:09	ga_s2am_ard_3-2-1_52KGB_2020-03-07_final.stac-item
2020-03-07 11:03:23	ga_s2am_ard_3-2-1_52KGA_2020-03-07_final.stac-item
2020-03-07 11:03:37	ga_s2am_ard_3-2-1_52KGV_2020-03-07_final.stac-item
2020-03-11 10:45:40	ga_s2am_ard_3-2-1_53JKG_2020-03-11_final.stac-item
2020-03-11 10:45:43	ga_s2am_ard_3-2-1_52JGM_2020-03-11_final.stac-item
2020-03-11 10:45:54	ga_s2am_ard_3-2-1_53JKF_2020-03-11_final.stac-item
2020-03-11 10:45:56	ga_s2am_ard_3-2-1_52JGL_2020-03-11_final.stac-item
2020-03-14 10:55:50	ga_s2am_ard_3-2-1_53JKF_2020-03-14_final.stac-item
2020-03-17 11:00:27	ga_s2am_ard_3-2-1_52LHN_2020-03-17_final.stac-item
2020-03-17 11:00:41	ga_s2am_ard_3-2-1_52LHM_2020-03-17_final.stac-item
2020-03-17 11:00:55	ga_s2am_ard_3-2-1_52LHL_2020-03-17_final.stac-item
2020-03-17 11:01:10	ga_s2am_ard_3-2-1_52LHK_2020-03-17_final.stac-item
2020-03-17 11:01:13	ga_s2am_ard_3-2-1_52LGK_2020-03-17_final.stac-item
2020-03-17 11:01:24	ga_s2am_ard_3-2-1_52LHJ_2020-03-17_final.stac-item
2020-03-17 11:01:28	ga_s2am_ard_3-2-1_52LGJ_2020-03-17_final.stac-item
2020-03-17 11:01:39	ga_s2am_ard_3-2-1_52LHH_2020-03-17_final.stac-item
2020-03-17 11:01:42	ga_s2am_ard_3-2-1_52LGH_2020-03-17_final.stac-item
2020-03-17 11:01:53	ga_s2am_ard_3-2-1_52KHG_2020-03-17_final.stac-item
2020-03-17 11:01:57	ga_s2am_ard_3-2-1_52KGG_2020-03-17_final.stac-item
2020-03-17 11:02:08	ga_s2am_ard_3-2-1_52KHF_2020-03-17_final.stac-item
2020-03-17 11:02:11	ga_s2am_ard_3-2-1_52KGF_2020-03-17_final.stac-item
2020-03-17 11:02:22	ga_s2am_ard_3-2-1_52KHE_2020-03-17_final.stac-item
2020-03-17 11:02:26	ga_s2am_ard_3-2-1_52KGE_2020-03-17_final.stac-item
2020-03-17 11:02:36	ga_s2am_ard_3-2-1_52KHD_2020-03-17_final.stac-item
2020-03-17 11:02:40	ga_s2am_ard_3-2-1_52KGD_2020-03-17_final.stac-item
2020-03-17 11:02:51	ga_s2am_ard_3-2-1_52KHC_2020-03-17_final.stac-item
2020-03-17 11:02:55	ga_s2am_ard_3-2-1_52KGC_2020-03-17_final.stac-item
2020-03-17 11:03:09	ga_s2am_ard_3-2-1_52KGB_2020-03-17_final.stac-item
2020-03-17 11:03:24	ga_s2am_ard_3-2-1_52KGA_2020-03-17_final.stac-item
2020-03-17 11:03:38	ga_s2am_ard_3-2-1_52KGV_2020-03-17_final.stac-item
2020-09-26 11:10:30	ga_s2am_ard_3-2-1_52LHN_2020-09-26_final.stac-item
2020-09-26 11:10:42	ga_s2am_ard_3-2-1_52LHM_2020-09-26_final.stac-item
2020-09-27 10:45:49	ga_s2am_ard_3-2-1_53JKG_2020-09-27_final.stac-item
2020-09-27 10:45:52	ga_s2am_ard_3-2-1_52JGM_2020-09-27_final.stac-item
2020-09-27 10:46:03	ga_s2am_ard_3-2-1_53JKF_2020-09-27_final.stac-item
2020-09-27 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-09-27_final.stac-item
2020-10-07 10:45:49	ga_s2am_ard_3-2-1_53JKG_2020-10-07_final.stac-item
2020-10-07 10:45:53	ga_s2am_ard_3-2-1_52JGM_2020-10-07_final.stac-item
2020-10-07 10:46:04	ga_s2am_ard_3-2-1_53JKF_2020-10-07_final.stac-item
2020-10-07 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-10-07_final.stac-item
2021-05-24 11:10:25	ga_s2am_ard_3-2-1_52LHN_2021-05-24_final.stac-item
2021-05-24 11:10:38	ga_s2am_ard_3-2-1_52LHM_2021-05-24_final.stac-item
2021-06-03 11:10:26	ga_s2am_ard_3-2-1_52LHN_2021-06-03_final.stac-item
2021-06-03 11:10:38	ga_s2am_ard_3-2-1_52LHM_2021-06-03_final.stac-item
2021-06-04 10:45:44	ga_s2am_ard_3-2-1_53JKG_2021-06-04_final.stac-item
2021-06-04 10:45:48	ga_s2am_ard_3-2-1_52JGM_2021-06-04_final.stac-item
2021-06-04 10:45:59	ga_s2am_ard_3-2-1_53JKF_2021-06-04_final.stac-item
2021-06-04 10:46:01	ga_s2am_ard_3-2-1_52JGL_2021-06-04_final.stac-item
2021-06-04 10:46:13	ga_s2am_ard_3-2-1_53HKE_2021-06-04_final
2021-06-04 10:46:16	ga_s2am_ard_3-2-1_52HGK_2021-06-04_final
2021-06-10 11:01:58	ga_s2am_ard_3-2-1_52KHG_2021-06-10_final.stac-item
2021-06-10 11:02:01	ga_s2am_ard_3-2-1_52KGG_2021-06-10_final.stac-item
2021-06-10 11:02:12	ga_s2am_ard_3-2-1_52KHF_2021-06-10_final.stac-item
2021-06-10 11:02:16	ga_s2am_ard_3-2-1_52KGF_2021-06-10_final.stac-item
2021-06-10 11:02:26	ga_s2am_ard_3-2-1_52KHE_2021-06-10_final.stac-item
2021-06-10 11:02:30	ga_s2am_ard_3-2-1_52KGE_2021-06-10_final.stac-item
2021-06-10 11:02:41	ga_s2am_ard_3-2-1_52KHD_2021-06-10_final.stac-item
2021-06-10 11:02:45	ga_s2am_ard_3-2-1_52KGD_2021-06-10_final.stac-item
2021-06-10 11:02:55	ga_s2am_ard_3-2-1_52KHC_2021-06-10_final.stac-item
2021-06-10 11:02:59	ga_s2am_ard_3-2-1_52KGC_2021-06-10_final.stac-item
2021-06-10 11:03:14	ga_s2am_ard_3-2-1_52KGB_2021-06-10_final.stac-item
2021-06-10 11:03:28	ga_s2am_ard_3-2-1_52KGA_2021-06-10_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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