Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-10-03 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-10-03_final
2021-10-03 11:57:03	ga_s2am_ard_3-2-1_50HLJ_2021-10-03_final
2021-10-03 11:57:28	ga_s2am_ard_3-2-1_50HLG_2021-10-03_final.stac-item
2021-10-04 09:41:28	ga_s2am_ard_3-2-1_56KMG_2021-10-04_final.stac-item
2021-10-04 09:41:34	ga_s2am_ard_3-2-1_56KKG_2021-10-04_final.stac-item
2021-10-04 09:43:02	ga_s2am_ard_3-2-1_55KHR_2021-10-04_final
2021-10-04 09:43:28	ga_s2am_ard_3-2-1_56KLU_2021-10-04_final
2021-10-04 09:43:35	ga_s2am_ard_3-2-1_55KGP_2021-10-04_final
2021-10-04 09:43:39	ga_s2am_ard_3-2-1_55KFP_2021-10-04_final
2021-10-04 09:43:57	ga_s2am_ard_3-2-1_56JLS_2021-10-04_final
2021-10-04 09:44:00	ga_s2am_ard_3-2-1_55JHM_2021-10-04_final
2021-10-04 09:44:15	ga_s2am_ard_3-2-1_56JKR_2021-10-04_final
2021-10-04 09:44:18	ga_s2am_ard_3-2-1_55JGL_2021-10-04_final
2021-10-04 09:44:22	ga_s2am_ard_3-2-1_55JFL_2021-10-04_final
2021-10-04 09:44:29	ga_s2am_ard_3-2-1_56JKQ_2021-10-04_final
2021-10-04 09:44:44	ga_s2am_ard_3-2-1_56JKP_2021-10-04_final
2021-10-04 09:44:47	ga_s2am_ard_3-2-1_55JGJ_2021-10-04_final
2021-10-04 09:44:51	ga_s2am_ard_3-2-1_55JFJ_2021-10-04_final
2021-10-04 09:44:59	ga_s2am_ard_3-2-1_56JKN_2021-10-04_final
2021-10-04 09:45:05	ga_s2am_ard_3-2-1_55JFH_2021-10-04_final
2021-10-04 09:45:09	ga_s2am_ard_3-2-1_55JEH_2021-10-04_final
2021-10-04 09:45:16	ga_s2am_ard_3-2-1_55JGG_2021-10-04_final
2021-10-04 09:45:20	ga_s2am_ard_3-2-1_55JFG_2021-10-04_final
2021-10-04 09:45:23	ga_s2am_ard_3-2-1_55JEG_2021-10-04_final
2021-10-04 09:45:26	ga_s2am_ard_3-2-1_56JKL_2021-10-04_final
2021-10-04 09:45:30	ga_s2am_ard_3-2-1_55JGF_2021-10-04_final
2021-10-04 09:45:31	ga_s2am_ard_3-2-1_55JDG_2021-10-04_final
2021-10-04 09:45:34	ga_s2am_ard_3-2-1_55JFF_2021-10-04_final
2021-10-04 09:45:38	ga_s2am_ard_3-2-1_55JEF_2021-10-04_final
2021-10-04 09:45:42	ga_s2am_ard_3-2-1_55JDF_2021-10-04_final
2021-10-04 09:45:45	ga_s2am_ard_3-2-1_55HGE_2021-10-04_final
2021-10-04 09:46:21	ga_s2am_ard_3-2-1_55HEC_2021-10-04_final
2021-10-04 09:46:32	ga_s2am_ard_3-2-1_55HFB_2021-10-04_final
2021-10-04 09:46:43	ga_s2am_ard_3-2-1_55HCB_2021-10-04_final
2021-10-04 09:46:47	ga_s2am_ard_3-2-1_55HFA_2021-10-04_final
2021-10-04 09:46:57	ga_s2am_ard_3-2-1_55HCA_2021-10-04_final
2021-10-04 09:47:19	ga_s2am_ard_3-2-1_55HEU_2021-10-04_final
2021-10-04 09:47:23	ga_s2am_ard_3-2-1_55HDU_2021-10-04_final
2021-10-04 09:47:24	ga_s2am_ard_3-2-1_55HFT_2021-10-04_final.stac-item
2021-10-04 09:47:34	ga_s2am_ard_3-2-1_55HET_2021-10-04_final
2021-10-04 09:47:34	ga_s2am_ard_3-2-1_55HBU_2021-10-04_final
2021-10-04 09:47:38	ga_s2am_ard_3-2-1_55HDT_2021-10-04_final
2021-10-04 09:47:41	ga_s2am_ard_3-2-1_55HCT_2021-10-04_final
2021-10-04 09:47:45	ga_s2am_ard_3-2-1_55HBT_2021-10-04_final
2021-10-04 09:47:48	ga_s2am_ard_3-2-1_55HES_2021-10-04_final
2021-10-04 09:47:49	ga_s2am_ard_3-2-1_54HYC_2021-10-04_final
2021-10-04 09:47:52	ga_s2am_ard_3-2-1_55HDS_2021-10-04_final
2021-10-04 09:47:55	ga_s2am_ard_3-2-1_55HCS_2021-10-04_final
2021-10-04 09:47:58	ga_s2am_ard_3-2-1_55HBS_2021-10-04_final
2021-10-04 09:48:00	ga_s2am_ard_3-2-1_54HYB_2021-10-04_final
2021-10-04 09:48:03	ga_s2am_ard_3-2-1_55GER_2021-10-04_final
2021-10-04 09:48:07	ga_s2am_ard_3-2-1_55GDR_2021-10-04_final
2021-10-04 09:48:10	ga_s2am_ard_3-2-1_55GCR_2021-10-04_final
2021-10-04 09:48:13	ga_s2am_ard_3-2-1_55GBR_2021-10-04_final
2021-10-04 09:48:13	ga_s2am_ard_3-2-1_54GYA_2021-10-04_final
2021-10-04 09:48:16	ga_s2am_ard_3-2-1_55GEQ_2021-10-04_final
2021-10-04 09:48:21	ga_s2am_ard_3-2-1_55GDQ_2021-10-04_final
2021-10-04 09:48:25	ga_s2am_ard_3-2-1_55GCQ_2021-10-04_final
2021-10-04 09:48:26	ga_s2am_ard_3-2-1_55GEP_2021-10-04_final
2021-10-04 09:48:28	ga_s2am_ard_3-2-1_55GBQ_2021-10-04_final.stac-item
2021-10-04 09:48:28	ga_s2am_ard_3-2-1_54GYV_2021-10-04_final.stac-item
2021-10-04 09:48:35	ga_s2am_ard_3-2-1_55GDP_2021-10-04_final
2021-10-04 09:48:39	ga_s2am_ard_3-2-1_55GCP_2021-10-04_final
2021-10-04 11:21:58	ga_s2am_ard_3-2-1_52LBH_2021-10-04_final
2021-10-04 11:21:59	ga_s2am_ard_3-2-1_51LZC_2021-10-04_final
2021-10-04 11:22:03	ga_s2am_ard_3-2-1_51LYC_2021-10-04_final
2021-10-04 11:22:09	ga_s2am_ard_3-2-1_52KCG_2021-10-04_final
2021-10-04 11:22:13	ga_s2am_ard_3-2-1_52KBG_2021-10-04_final
2021-10-04 11:22:17	ga_s2am_ard_3-2-1_51KYB_2021-10-04_final
2021-10-04 11:22:57	ga_s2am_ard_3-2-1_51KZU_2021-10-04_final
2021-10-04 11:23:40	ga_s2am_ard_3-2-1_51KZR_2021-10-04_final
2021-10-04 11:23:54	ga_s2am_ard_3-2-1_52KBV_2021-10-04_final
2021-10-04 11:23:58	ga_s2am_ard_3-2-1_51KYQ_2021-10-04_final
2021-10-04 11:24:24	ga_s2am_ard_3-2-1_51JZN_2021-10-04_final
2021-10-04 11:24:34	ga_s2am_ard_3-2-1_51JWN_2021-10-04_final
2021-10-04 11:24:37	ga_s2am_ard_3-2-1_51JZM_2021-10-04_final
2021-10-04 11:24:48	ga_s2am_ard_3-2-1_52JBR_2021-10-04_final
2021-10-04 11:24:56	ga_s2am_ard_3-2-1_51JYL_2021-10-04_final
2021-10-04 11:25:00	ga_s2am_ard_3-2-1_51JXL_2021-10-04_final
2021-10-04 11:25:03	ga_s2am_ard_3-2-1_51JWL_2021-10-04_final
2021-10-04 11:25:08	ga_s2am_ard_3-2-1_51JVL_2021-10-04_final
2021-10-04 11:25:18	ga_s2am_ard_3-2-1_51JWK_2021-10-04_final
2021-10-04 11:25:21	ga_s2am_ard_3-2-1_51JVK_2021-10-04_final
2021-10-04 11:25:25	ga_s2am_ard_3-2-1_51JYJ_2021-10-04_final
2021-10-04 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2021-10-04_final
2021-10-04 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2021-10-04_final
2021-10-04 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2021-10-04_final
2021-10-04 11:25:43	ga_s2am_ard_3-2-1_51JXH_2021-10-04_final
2021-10-04 11:25:49	ga_s2am_ard_3-2-1_51JYG_2021-10-04_final
2021-10-04 11:25:50	ga_s2am_ard_3-2-1_51JVH_2021-10-04_final
2021-10-04 11:25:57	ga_s2am_ard_3-2-1_51JXG_2021-10-04_final
2021-10-04 11:26:01	ga_s2am_ard_3-2-1_51JWG_2021-10-04_final
2021-10-04 11:26:05	ga_s2am_ard_3-2-1_51JVG_2021-10-04_final
2021-10-04 11:26:12	ga_s2am_ard_3-2-1_51JXF_2021-10-04_final
2021-10-04 11:26:16	ga_s2am_ard_3-2-1_51JWF_2021-10-04_final
2021-10-04 11:26:19	ga_s2am_ard_3-2-1_51JVF_2021-10-04_final
2021-10-04 11:26:23	ga_s2am_ard_3-2-1_51JUF_2021-10-04_final
2021-10-04 11:26:30	ga_s2am_ard_3-2-1_51HWE_2021-10-04_final
2021-10-04 11:26:34	ga_s2am_ard_3-2-1_51HVE_2021-10-04_final
2021-10-04 11:26:37	ga_s2am_ard_3-2-1_51HUE_2021-10-04_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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