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
2019-11-06 12:05:01	ga_s2am_ard_3-2-1_50JMR_2019-11-06_final
2019-11-06 12:05:11	ga_s2am_ard_3-2-1_50JLR_2019-11-06_final
2019-11-06 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-11-06_final
2019-11-06 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-11-06_final
2019-11-06 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2019-11-06_final
2019-11-06 12:05:40	ga_s2am_ard_3-2-1_50JLP_2019-11-06_final
2019-11-06 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-11-06_final
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final
2019-11-06 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-11-06_final
2019-11-06 12:06:01	ga_s2am_ard_3-2-1_49JGH_2019-11-06_final.stac-item
2019-11-06 12:06:07	ga_s2am_ard_3-2-1_50JLM_2019-11-06_final
2019-11-06 12:06:17	ga_s2am_ard_3-2-1_50JLL_2019-11-06_final
2019-11-07 09:51:15	ga_s2am_ard_3-2-1_55LHC_2019-11-07_final.stac-item
2019-11-07 09:51:18	ga_s2am_ard_3-2-1_55LGC_2019-11-07_final
2019-11-07 09:51:51	ga_s2am_ard_3-2-1_55KFA_2019-11-07_final
2019-11-07 09:52:16	ga_s2am_ard_3-2-1_55KGU_2019-11-07_final
2019-11-07 09:52:20	ga_s2am_ard_3-2-1_55KFU_2019-11-07_final
2019-11-07 09:52:23	ga_s2am_ard_3-2-1_55KEU_2019-11-07_final
2019-11-07 09:52:34	ga_s2am_ard_3-2-1_55KFT_2019-11-07_final
2019-11-07 09:52:37	ga_s2am_ard_3-2-1_55KET_2019-11-07_final
2019-11-07 09:52:45	ga_s2am_ard_3-2-1_55KGS_2019-11-07_final
2019-11-07 09:54:15	ga_s2am_ard_3-2-1_55JFL_2019-11-07_final
2019-11-07 09:54:25	ga_s2am_ard_3-2-1_55JCL_2019-11-07_final
2019-11-07 09:54:34	ga_s2am_ard_3-2-1_55JEK_2019-11-07_final
2019-11-07 09:54:37	ga_s2am_ard_3-2-1_55JDK_2019-11-07_final
2019-11-07 09:54:40	ga_s2am_ard_3-2-1_55JCK_2019-11-07_final
2019-11-07 09:54:43	ga_s2am_ard_3-2-1_55JFJ_2019-11-07_final
2019-11-07 09:54:48	ga_s2am_ard_3-2-1_55JEJ_2019-11-07_final
2019-11-07 09:54:52	ga_s2am_ard_3-2-1_55JDJ_2019-11-07_final
2019-11-07 09:54:55	ga_s2am_ard_3-2-1_55JCJ_2019-11-07_final
2019-11-07 09:55:02	ga_s2am_ard_3-2-1_55JEH_2019-11-07_final
2019-11-07 09:55:06	ga_s2am_ard_3-2-1_55JDH_2019-11-07_final
2019-11-07 09:55:14	ga_s2am_ard_3-2-1_55JBH_2019-11-07_final
2019-11-07 09:55:17	ga_s2am_ard_3-2-1_55JEG_2019-11-07_final
2019-11-07 09:55:21	ga_s2am_ard_3-2-1_55JDG_2019-11-07_final
2019-11-07 09:55:24	ga_s2am_ard_3-2-1_55JCG_2019-11-07_final
2019-11-07 09:55:32	ga_s2am_ard_3-2-1_55JEF_2019-11-07_final
2019-11-07 09:55:35	ga_s2am_ard_3-2-1_55JDF_2019-11-07_final
2019-11-07 09:55:39	ga_s2am_ard_3-2-1_55JCF_2019-11-07_final
2019-11-07 09:55:45	ga_s2am_ard_3-2-1_55HEE_2019-11-07_final
2019-11-07 09:55:50	ga_s2am_ard_3-2-1_55HDE_2019-11-07_final
2019-11-07 09:55:53	ga_s2am_ard_3-2-1_55HCE_2019-11-07_final
2019-11-07 09:56:25	ga_s2am_ard_3-2-1_55HBC_2019-11-07_final
2019-11-07 09:56:27	ga_s2am_ard_3-2-1_54HYH_2019-11-07_final
2019-11-07 09:56:48	ga_s2am_ard_3-2-1_55HDA_2019-11-07_final
2019-11-07 09:56:51	ga_s2am_ard_3-2-1_55HCA_2019-11-07_final
2019-11-07 09:56:55	ga_s2am_ard_3-2-1_55HBA_2019-11-07_final
2019-11-07 09:56:56	ga_s2am_ard_3-2-1_54HYF_2019-11-07_final
2019-11-07 09:57:00	ga_s2am_ard_3-2-1_54HXF_2019-11-07_final
2019-11-07 09:57:01	ga_s2am_ard_3-2-1_55HDV_2019-11-07_final
2019-11-07 09:57:06	ga_s2am_ard_3-2-1_55HCV_2019-11-07_final
2019-11-07 09:57:14	ga_s2am_ard_3-2-1_54HXE_2019-11-07_final
2019-11-07 09:57:50	ga_s2am_ard_3-2-1_55HCS_2019-11-07_final
2019-11-07 09:57:53	ga_s2am_ard_3-2-1_55HBS_2019-11-07_final
2019-11-07 09:57:54	ga_s2am_ard_3-2-1_54HYB_2019-11-07_final
2019-11-07 09:58:04	ga_s2am_ard_3-2-1_55GCR_2019-11-07_final
2019-11-07 09:58:08	ga_s2am_ard_3-2-1_55GBR_2019-11-07_final
2019-11-07 09:58:08	ga_s2am_ard_3-2-1_54GYA_2019-11-07_final
2019-11-07 09:58:16	ga_s2am_ard_3-2-1_55GCQ_2019-11-07_final
2019-11-07 09:58:22	ga_s2am_ard_3-2-1_55GBQ_2019-11-07_final.stac-item
2019-11-07 09:58:22	ga_s2am_ard_3-2-1_54GYV_2019-11-07_final.stac-item
2019-11-07 09:58:26	ga_s2am_ard_3-2-1_55GCP_2019-11-07_final
2019-11-07 11:31:33	ga_s2am_ard_3-2-1_51LWE_2019-11-07_final
2019-11-07 11:31:56	ga_s2am_ard_3-2-1_51LYC_2019-11-07_final
2019-11-07 11:32:28	ga_s2am_ard_3-2-1_51KXA_2019-11-07_final
2019-11-07 11:32:53	ga_s2am_ard_3-2-1_51KYU_2019-11-07_final
2019-11-07 11:32:57	ga_s2am_ard_3-2-1_51KXU_2019-11-07_final
2019-11-07 11:33:01	ga_s2am_ard_3-2-1_51KWU_2019-11-07_final
2019-11-07 11:33:04	ga_s2am_ard_3-2-1_51KVU_2019-11-07_final
2019-11-07 11:33:12	ga_s2am_ard_3-2-1_51KXT_2019-11-07_final
2019-11-07 11:33:15	ga_s2am_ard_3-2-1_51KWT_2019-11-07_final
2019-11-07 11:33:19	ga_s2am_ard_3-2-1_51KVT_2019-11-07_final
2019-11-07 11:33:25	ga_s2am_ard_3-2-1_51KUT_2019-11-07_final
2019-11-07 11:34:54	ga_s2am_ard_3-2-1_51JWL_2019-11-07_final
2019-11-07 11:34:55	ga_s2am_ard_3-2-1_51JVL_2019-11-07_final
2019-11-07 11:34:57	ga_s2am_ard_3-2-1_51JUL_2019-11-07_final
2019-11-07 11:34:58	ga_s2am_ard_3-2-1_51JTL_2019-11-07_final
2019-11-07 11:35:00	ga_s2am_ard_3-2-1_51JWL_2019-11-07_final
2019-11-07 11:35:02	ga_s2am_ard_3-2-1_51JVL_2019-11-07_final
2019-11-07 11:35:04	ga_s2am_ard_3-2-1_51JUL_2019-11-07_final
2019-11-07 11:35:07	ga_s2am_ard_3-2-1_51JTL_2019-11-07_final
2019-11-07 11:35:11	ga_s2am_ard_3-2-1_51JWK_2019-11-07_final
2019-11-07 11:35:15	ga_s2am_ard_3-2-1_51JVK_2019-11-07_final
2019-11-07 11:35:18	ga_s2am_ard_3-2-1_51JUK_2019-11-07_final
2019-11-07 11:35:33	ga_s2am_ard_3-2-1_51JUJ_2019-11-07_final
2019-11-07 11:35:36	ga_s2am_ard_3-2-1_51JTJ_2019-11-07_final
2019-11-07 11:35:40	ga_s2am_ard_3-2-1_50JQP_2019-11-07_final
2019-11-07 11:35:44	ga_s2am_ard_3-2-1_51JVH_2019-11-07_final
2019-11-07 11:35:51	ga_s2am_ard_3-2-1_51JTH_2019-11-07_final
2019-11-07 11:35:53	ga_s2am_ard_3-2-1_50JQN_2019-11-07_final
2019-11-07 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-11-07_final
2019-11-07 11:36:02	ga_s2am_ard_3-2-1_51JUG_2019-11-07_final
2019-11-07 11:36:05	ga_s2am_ard_3-2-1_51JTG_2019-11-07_final
2019-11-07 11:36:13	ga_s2am_ard_3-2-1_51JVF_2019-11-07_final
2019-11-07 11:36:17	ga_s2am_ard_3-2-1_51JUF_2019-11-07_final
2019-11-07 11:36:26	ga_s2am_ard_3-2-1_51HVE_2019-11-07_final
2019-11-07 11:36:29	ga_s2am_ard_3-2-1_50JPL_2019-11-07_final
2019-11-07 11:36:31	ga_s2am_ard_3-2-1_51HUE_2019-11-07_final
2019-11-07 11:36:40	ga_s2am_ard_3-2-1_50HPK_2019-11-07_final
2019-11-07 11:37:03	ga_s2am_ard_3-2-1_51HTC_2019-11-07_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

All years