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
2020-01-05 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-05_final
2020-01-05 12:05:50	ga_s2am_ard_3-2-1_50JKN_2020-01-05_final
2020-01-05 12:05:59	ga_s2am_ard_3-2-1_50JLM_2020-01-05_final
2020-01-05 12:06:04	ga_s2am_ard_3-2-1_50JKM_2020-01-05_final
2020-01-06 09:51:28	ga_s2am_ard_3-2-1_55KFB_2020-01-06_final
2020-01-06 09:51:34	ga_s2am_ard_3-2-1_56KKF_2020-01-06_final
2020-01-06 09:51:42	ga_s2am_ard_3-2-1_55KFA_2020-01-06_final
2020-01-06 09:52:11	ga_s2am_ard_3-2-1_55KFU_2020-01-06_final
2020-01-06 09:52:14	ga_s2am_ard_3-2-1_55KEU_2020-01-06_final
2020-01-06 09:52:26	ga_s2am_ard_3-2-1_55KFT_2020-01-06_final
2020-01-06 09:52:29	ga_s2am_ard_3-2-1_55KET_2020-01-06_final
2020-01-06 09:52:30	ga_s2am_ard_3-2-1_55KHS_2020-01-06_final
2020-01-06 09:52:36	ga_s2am_ard_3-2-1_55KGS_2020-01-06_final
2020-01-06 09:52:40	ga_s2am_ard_3-2-1_55KFS_2020-01-06_final
2020-01-06 09:52:50	ga_s2am_ard_3-2-1_55KDS_2020-01-06_final
2020-01-06 09:52:51	ga_s2am_ard_3-2-1_55KGR_2020-01-06_final
2020-01-06 09:52:55	ga_s2am_ard_3-2-1_55KFR_2020-01-06_final
2020-01-06 09:53:13	ga_s2am_ard_3-2-1_55KEQ_2020-01-06_final
2020-01-06 09:53:16	ga_s2am_ard_3-2-1_55KDQ_2020-01-06_final
2020-01-06 09:53:42	ga_s2am_ard_3-2-1_55JGM_2020-01-06_final
2020-01-06 09:53:56	ga_s2am_ard_3-2-1_55JEM_2020-01-06_final
2020-01-06 09:54:00	ga_s2am_ard_3-2-1_55JDM_2020-01-06_final
2020-01-06 09:54:07	ga_s2am_ard_3-2-1_55JFL_2020-01-06_final
2020-01-06 09:54:11	ga_s2am_ard_3-2-1_55JEL_2020-01-06_final
2020-01-06 09:54:14	ga_s2am_ard_3-2-1_55JDL_2020-01-06_final
2020-01-06 09:54:40	ga_s2am_ard_3-2-1_55JEJ_2020-01-06_final
2020-01-06 09:54:43	ga_s2am_ard_3-2-1_55JDJ_2020-01-06_final
2020-01-06 09:54:47	ga_s2am_ard_3-2-1_55JCJ_2020-01-06_final
2020-01-06 09:54:54	ga_s2am_ard_3-2-1_55JEH_2020-01-06_final
2020-01-06 09:54:58	ga_s2am_ard_3-2-1_55JDH_2020-01-06_final
2020-01-06 09:55:05	ga_s2am_ard_3-2-1_55JBH_2020-01-06_final
2020-01-06 09:55:09	ga_s2am_ard_3-2-1_55JEG_2020-01-06_final
2020-01-06 09:55:12	ga_s2am_ard_3-2-1_55JDG_2020-01-06_final
2020-01-06 09:55:16	ga_s2am_ard_3-2-1_55JCG_2020-01-06_final
2020-01-06 09:55:19	ga_s2am_ard_3-2-1_55JBG_2020-01-06_final
2020-01-06 09:55:37	ga_s2am_ard_3-2-1_55HEE_2020-01-06_final
2020-01-06 09:55:41	ga_s2am_ard_3-2-1_55HDE_2020-01-06_final
2020-01-06 09:56:17	ga_s2am_ard_3-2-1_55HBC_2020-01-06_final
2020-01-06 09:56:19	ga_s2am_ard_3-2-1_54HYH_2020-01-06_final
2020-01-06 09:56:39	ga_s2am_ard_3-2-1_55HDA_2020-01-06_final
2020-01-06 09:56:43	ga_s2am_ard_3-2-1_55HCA_2020-01-06_final
2020-01-06 09:56:46	ga_s2am_ard_3-2-1_55HBA_2020-01-06_final
2020-01-06 09:56:48	ga_s2am_ard_3-2-1_54HYF_2020-01-06_final
2020-01-06 09:56:52	ga_s2am_ard_3-2-1_54HXF_2020-01-06_final
2020-01-06 09:56:53	ga_s2am_ard_3-2-1_55HDV_2020-01-06_final
2020-01-06 09:56:57	ga_s2am_ard_3-2-1_55HCV_2020-01-06_final
2020-01-06 09:57:01	ga_s2am_ard_3-2-1_55HBV_2020-01-06_final
2020-01-06 09:57:06	ga_s2am_ard_3-2-1_54HXE_2020-01-06_final
2020-01-06 09:57:41	ga_s2am_ard_3-2-1_55HCS_2020-01-06_final
2020-01-06 09:57:45	ga_s2am_ard_3-2-1_55HBS_2020-01-06_final
2020-01-06 09:57:45	ga_s2am_ard_3-2-1_54HYB_2020-01-06_final
2020-01-06 09:58:08	ga_s2am_ard_3-2-1_55GCQ_2020-01-06_final
2020-01-06 09:58:14	ga_s2am_ard_3-2-1_55GBQ_2020-01-06_final.stac-item
2020-01-06 09:58:14	ga_s2am_ard_3-2-1_54GYV_2020-01-06_final.stac-item
2020-01-06 09:58:18	ga_s2am_ard_3-2-1_55GCP_2020-01-06_final
2020-01-06 11:31:25	ga_s2am_ard_3-2-1_51LWE_2020-01-06_final
2020-01-06 11:32:06	ga_s2am_ard_3-2-1_51KXB_2020-01-06_final
2020-01-06 11:32:16	ga_s2am_ard_3-2-1_51KYA_2020-01-06_final
2020-01-06 11:32:20	ga_s2am_ard_3-2-1_51KXA_2020-01-06_final
2020-01-06 11:32:49	ga_s2am_ard_3-2-1_51KXU_2020-01-06_final
2020-01-06 11:32:53	ga_s2am_ard_3-2-1_51KWU_2020-01-06_final
2020-01-06 11:32:56	ga_s2am_ard_3-2-1_51KVU_2020-01-06_final
2020-01-06 11:33:03	ga_s2am_ard_3-2-1_51KXT_2020-01-06_final
2020-01-06 11:33:07	ga_s2am_ard_3-2-1_51KWT_2020-01-06_final
2020-01-06 11:33:10	ga_s2am_ard_3-2-1_51KVT_2020-01-06_final
2020-01-06 11:33:17	ga_s2am_ard_3-2-1_51KUT_2020-01-06_final
2020-01-06 11:33:18	ga_s2am_ard_3-2-1_51KXS_2020-01-06_final
2020-01-06 11:33:22	ga_s2am_ard_3-2-1_51KWS_2020-01-06_final
2020-01-06 11:33:25	ga_s2am_ard_3-2-1_51KVS_2020-01-06_final
2020-01-06 11:33:29	ga_s2am_ard_3-2-1_51KUS_2020-01-06_final
2020-01-06 11:33:33	ga_s2am_ard_3-2-1_51KXR_2020-01-06_final
2020-01-06 11:33:42	ga_s2am_ard_3-2-1_51KUR_2020-01-06_final
2020-01-06 11:33:51	ga_s2am_ard_3-2-1_51KWQ_2020-01-06_final
2020-01-06 11:33:54	ga_s2am_ard_3-2-1_51KVQ_2020-01-06_final
2020-01-06 11:34:31	ga_s2am_ard_3-2-1_50JRT_2020-01-06_final
2020-01-06 11:34:34	ga_s2am_ard_3-2-1_51JWM_2020-01-06_final
2020-01-06 11:34:38	ga_s2am_ard_3-2-1_51JVM_2020-01-06_final
2020-01-06 11:34:44	ga_s2am_ard_3-2-1_50JRS_2020-01-06_final
2020-01-06 11:34:44	ga_s2am_ard_3-2-1_51JTM_2020-01-06_final
2020-01-06 11:34:49	ga_s2am_ard_3-2-1_51JWL_2020-01-06_final
2020-01-06 11:34:52	ga_s2am_ard_3-2-1_51JVL_2020-01-06_final
2020-01-06 11:34:58	ga_s2am_ard_3-2-1_51JTL_2020-01-06_final
2020-01-06 11:35:02	ga_s2am_ard_3-2-1_51JWK_2020-01-06_final
2020-01-06 11:35:07	ga_s2am_ard_3-2-1_51JVK_2020-01-06_final
2020-01-06 11:35:14	ga_s2am_ard_3-2-1_51JWJ_2020-01-06_final
2020-01-06 11:35:21	ga_s2am_ard_3-2-1_51JVJ_2020-01-06_final
2020-01-06 11:35:25	ga_s2am_ard_3-2-1_51JUJ_2020-01-06_final
2020-01-06 11:35:28	ga_s2am_ard_3-2-1_51JTJ_2020-01-06_final
2020-01-06 11:35:32	ga_s2am_ard_3-2-1_50JQP_2020-01-06_final
2020-01-06 11:35:42	ga_s2am_ard_3-2-1_51JTH_2020-01-06_final
2020-01-06 11:35:50	ga_s2am_ard_3-2-1_51JVG_2020-01-06_final
2020-01-06 11:35:54	ga_s2am_ard_3-2-1_51JUG_2020-01-06_final
2020-01-06 11:35:57	ga_s2am_ard_3-2-1_51JTG_2020-01-06_final
2020-01-06 11:36:00	ga_s2am_ard_3-2-1_50JQM_2020-01-06_final
2020-01-06 11:36:05	ga_s2am_ard_3-2-1_51JVF_2020-01-06_final
2020-01-06 11:36:08	ga_s2am_ard_3-2-1_51JUF_2020-01-06_final
2020-01-06 11:36:18	ga_s2am_ard_3-2-1_51HVE_2020-01-06_final
2020-01-06 11:36:48	ga_s2am_ard_3-2-1_51HTC_2020-01-06_final
2020-01-06 11:36:49	ga_s2am_ard_3-2-1_50HQH_2020-01-06_final
2020-01-06 11:36:55	ga_s2am_ard_3-2-1_51HTC_2020-01-06_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