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
2021-04-29 12:04:51	ga_s2am_ard_3-2-1_50JLS_2021-04-29_final
2021-04-29 12:04:56	ga_s2am_ard_3-2-1_50JMR_2021-04-29_final
2021-04-29 12:05:05	ga_s2am_ard_3-2-1_50JLR_2021-04-29_final
2021-04-29 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-04-29_final
2021-04-29 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2021-04-29_final
2021-04-29 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2021-04-29_final
2021-04-29 12:05:26	ga_s2am_ard_3-2-1_49JGK_2021-04-29_final
2021-04-29 12:05:35	ga_s2am_ard_3-2-1_50JLP_2021-04-29_final
2021-04-29 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-04-29_final
2021-04-29 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2021-04-29_final
2021-04-29 12:05:53	ga_s2am_ard_3-2-1_50JKN_2021-04-29_final
2021-04-29 12:05:55	ga_s2am_ard_3-2-1_49JGH_2021-04-29_final.stac-item
2021-04-29 12:06:01	ga_s2am_ard_3-2-1_50JLM_2021-04-29_final
2021-04-29 12:06:07	ga_s2am_ard_3-2-1_50JKM_2021-04-29_final
2021-04-29 12:06:11	ga_s2am_ard_3-2-1_50JLL_2021-04-29_final
2021-04-30 09:51:13	ga_s2am_ard_3-2-1_55LGC_2021-04-30_final
2021-04-30 09:51:24	ga_s2am_ard_3-2-1_55KHB_2021-04-30_final.stac-item
2021-04-30 09:52:11	ga_s2am_ard_3-2-1_55KGU_2021-04-30_final
2021-04-30 09:52:32	ga_s2am_ard_3-2-1_55KET_2021-04-30_final
2021-04-30 09:53:41	ga_s2am_ard_3-2-1_55JFN_2021-04-30_final
2021-04-30 09:53:55	ga_s2am_ard_3-2-1_55JCN_2021-04-30_final
2021-04-30 09:53:55	ga_s2am_ard_3-2-1_55JFM_2021-04-30_final
2021-04-30 09:54:06	ga_s2am_ard_3-2-1_55JCM_2021-04-30_final
2021-04-30 09:54:10	ga_s2am_ard_3-2-1_55JFL_2021-04-30_final
2021-04-30 09:54:14	ga_s2am_ard_3-2-1_55JEL_2021-04-30_final
2021-04-30 09:54:17	ga_s2am_ard_3-2-1_55JDL_2021-04-30_final
2021-04-30 09:54:20	ga_s2am_ard_3-2-1_55JCL_2021-04-30_final
2021-04-30 09:54:25	ga_s2am_ard_3-2-1_55JFK_2021-04-30_final
2021-04-30 09:54:28	ga_s2am_ard_3-2-1_55JEK_2021-04-30_final
2021-04-30 09:54:32	ga_s2am_ard_3-2-1_55JDK_2021-04-30_final
2021-04-30 09:54:35	ga_s2am_ard_3-2-1_55JCK_2021-04-30_final
2021-04-30 09:54:38	ga_s2am_ard_3-2-1_55JFJ_2021-04-30_final
2021-04-30 09:54:50	ga_s2am_ard_3-2-1_55JCJ_2021-04-30_final
2021-04-30 09:54:57	ga_s2am_ard_3-2-1_55JEH_2021-04-30_final
2021-04-30 09:55:01	ga_s2am_ard_3-2-1_55JDH_2021-04-30_final
2021-04-30 09:55:08	ga_s2am_ard_3-2-1_55JBH_2021-04-30_final
2021-04-30 09:55:19	ga_s2am_ard_3-2-1_55JCG_2021-04-30_final
2021-04-30 09:55:22	ga_s2am_ard_3-2-1_55JBG_2021-04-30_final
2021-04-30 09:55:33	ga_s2am_ard_3-2-1_55JCF_2021-04-30_final
2021-04-30 09:55:36	ga_s2am_ard_3-2-1_55JBF_2021-04-30_final
2021-04-30 09:55:40	ga_s2am_ard_3-2-1_55HEE_2021-04-30_final
2021-04-30 09:55:44	ga_s2am_ard_3-2-1_55HDE_2021-04-30_final
2021-04-30 09:55:48	ga_s2am_ard_3-2-1_55HCE_2021-04-30_final
2021-04-30 09:55:51	ga_s2am_ard_3-2-1_55HBE_2021-04-30_final
2021-04-30 09:55:54	ga_s2am_ard_3-2-1_54HYK_2021-04-30_final
2021-04-30 09:56:46	ga_s2am_ard_3-2-1_55HCA_2021-04-30_final
2021-04-30 09:56:49	ga_s2am_ard_3-2-1_55HBA_2021-04-30_final
2021-04-30 09:56:51	ga_s2am_ard_3-2-1_54HYF_2021-04-30_final
2021-04-30 09:56:55	ga_s2am_ard_3-2-1_54HXF_2021-04-30_final
2021-04-30 09:57:44	ga_s2am_ard_3-2-1_55HCS_2021-04-30_final
2021-04-30 09:57:48	ga_s2am_ard_3-2-1_55HBS_2021-04-30_final
2021-04-30 09:57:48	ga_s2am_ard_3-2-1_54HYB_2021-04-30_final
2021-04-30 09:57:58	ga_s2am_ard_3-2-1_55GCR_2021-04-30_final
2021-04-30 09:58:02	ga_s2am_ard_3-2-1_55GBR_2021-04-30_final
2021-04-30 09:58:03	ga_s2am_ard_3-2-1_54GYA_2021-04-30_final
2021-04-30 09:58:11	ga_s2am_ard_3-2-1_55GCQ_2021-04-30_final
2021-04-30 09:58:17	ga_s2am_ard_3-2-1_55GBQ_2021-04-30_final.stac-item
2021-04-30 09:58:17	ga_s2am_ard_3-2-1_54GYV_2021-04-30_final.stac-item
2021-04-30 09:58:21	ga_s2am_ard_3-2-1_55GCP_2021-04-30_final
2021-04-30 11:31:26	ga_s2am_ard_3-2-1_52LBJ_2021-04-30_final
2021-04-30 11:31:28	ga_s2am_ard_3-2-1_51LWE_2021-04-30_final
2021-04-30 11:31:33	ga_s2am_ard_3-2-1_51LZD_2021-04-30_final
2021-04-30 11:31:36	ga_s2am_ard_3-2-1_51LYD_2021-04-30_final
2021-04-30 11:31:51	ga_s2am_ard_3-2-1_51LYC_2021-04-30_final
2021-04-30 11:31:57	ga_s2am_ard_3-2-1_51KZB_2021-04-30_final
2021-04-30 11:32:26	ga_s2am_ard_3-2-1_51KWA_2021-04-30_final
2021-04-30 11:32:30	ga_s2am_ard_3-2-1_51KVA_2021-04-30_final
2021-04-30 11:32:48	ga_s2am_ard_3-2-1_51KYU_2021-04-30_final
2021-04-30 11:32:52	ga_s2am_ard_3-2-1_51KXU_2021-04-30_final
2021-04-30 11:33:10	ga_s2am_ard_3-2-1_51KWT_2021-04-30_final
2021-04-30 11:33:13	ga_s2am_ard_3-2-1_51KVT_2021-04-30_final
2021-04-30 11:34:22	ga_s2am_ard_3-2-1_51JWN_2021-04-30_final
2021-04-30 11:34:26	ga_s2am_ard_3-2-1_51JVN_2021-04-30_final
2021-04-30 11:34:29	ga_s2am_ard_3-2-1_51JUN_2021-04-30_final
2021-04-30 11:34:33	ga_s2am_ard_3-2-1_51JTN_2021-04-30_final
2021-04-30 11:34:34	ga_s2am_ard_3-2-1_50JRT_2021-04-30_final
2021-04-30 11:34:39	ga_s2am_ard_3-2-1_51JUM_2021-04-30_final
2021-04-30 11:34:46	ga_s2am_ard_3-2-1_51JUM_2021-04-30_final
2021-04-30 11:34:52	ga_s2am_ard_3-2-1_51JWL_2021-04-30_final
2021-04-30 11:34:59	ga_s2am_ard_3-2-1_51JUL_2021-04-30_final
2021-04-30 11:35:05	ga_s2am_ard_3-2-1_51JWK_2021-04-30_final
2021-04-30 11:35:10	ga_s2am_ard_3-2-1_51JVK_2021-04-30_final
2021-04-30 11:35:13	ga_s2am_ard_3-2-1_51JUK_2021-04-30_final
2021-04-30 11:35:16	ga_s2am_ard_3-2-1_51JTK_2021-04-30_final
2021-04-30 11:35:28	ga_s2am_ard_3-2-1_51JUJ_2021-04-30_final
2021-04-30 11:35:31	ga_s2am_ard_3-2-1_51JTJ_2021-04-30_final
2021-04-30 11:35:34	ga_s2am_ard_3-2-1_50JQP_2021-04-30_final
2021-04-30 11:35:39	ga_s2am_ard_3-2-1_51JVH_2021-04-30_final
2021-04-30 11:35:45	ga_s2am_ard_3-2-1_51JTH_2021-04-30_final
2021-04-30 11:35:48	ga_s2am_ard_3-2-1_50JQN_2021-04-30_final
2021-04-30 11:35:57	ga_s2am_ard_3-2-1_51JUG_2021-04-30_final
2021-04-30 11:36:00	ga_s2am_ard_3-2-1_51JTG_2021-04-30_final
2021-04-30 11:36:03	ga_s2am_ard_3-2-1_50JQM_2021-04-30_final
2021-04-30 11:36:11	ga_s2am_ard_3-2-1_51JUF_2021-04-30_final
2021-04-30 11:36:15	ga_s2am_ard_3-2-1_51JTF_2021-04-30_final
2021-04-30 11:36:21	ga_s2am_ard_3-2-1_51HVE_2021-04-30_final
2021-04-30 11:36:24	ga_s2am_ard_3-2-1_50JPL_2021-04-30_final
2021-04-30 11:36:26	ga_s2am_ard_3-2-1_51HUE_2021-04-30_final
2021-04-30 11:36:29	ga_s2am_ard_3-2-1_51HTE_2021-04-30_final
2021-04-30 11:36:31	ga_s2am_ard_3-2-1_50HQK_2021-04-30_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