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
2020-08-02 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-08-02_final
2020-08-02 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-02_final
2020-08-02 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-02_final
2020-08-02 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-08-02_final
2020-08-02 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-08-02_final
2020-08-02 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-02_final
2020-08-02 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-08-02_final
2020-08-02 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-02_final
2020-08-02 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-08-02_final
2020-08-02 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-08-02_final
2020-08-02 12:06:04	ga_s2am_ard_3-2-1_49JGH_2020-08-02_final.stac-item
2020-08-02 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-08-02_final
2020-08-02 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-08-02_final
2020-08-02 12:06:20	ga_s2am_ard_3-2-1_50JLL_2020-08-02_final
2020-08-03 09:52:19	ga_s2am_ard_3-2-1_55KGU_2020-08-03_final
2020-08-03 09:52:23	ga_s2am_ard_3-2-1_55KFU_2020-08-03_final
2020-08-03 09:52:34	ga_s2am_ard_3-2-1_55KGT_2020-08-03_final
2020-08-03 09:52:41	ga_s2am_ard_3-2-1_55KET_2020-08-03_final
2020-08-03 09:52:52	ga_s2am_ard_3-2-1_55KFS_2020-08-03_final
2020-08-03 09:53:24	ga_s2am_ard_3-2-1_55KEQ_2020-08-03_final
2020-08-03 09:53:27	ga_s2am_ard_3-2-1_55KDQ_2020-08-03_final
2020-08-03 09:53:39	ga_s2am_ard_3-2-1_55KEP_2020-08-03_final
2020-08-03 09:53:42	ga_s2am_ard_3-2-1_55KDP_2020-08-03_final
2020-08-03 09:53:53	ga_s2am_ard_3-2-1_55JGM_2020-08-03_final
2020-08-03 09:54:08	ga_s2am_ard_3-2-1_55JEM_2020-08-03_final
2020-08-03 09:54:11	ga_s2am_ard_3-2-1_55JDM_2020-08-03_final
2020-08-03 09:54:19	ga_s2am_ard_3-2-1_55JFL_2020-08-03_final
2020-08-03 09:54:29	ga_s2am_ard_3-2-1_55JCL_2020-08-03_final
2020-08-03 09:54:33	ga_s2am_ard_3-2-1_55JFK_2020-08-03_final
2020-08-03 09:54:43	ga_s2am_ard_3-2-1_55JCK_2020-08-03_final
2020-08-03 09:54:51	ga_s2am_ard_3-2-1_55JEJ_2020-08-03_final
2020-08-03 09:54:55	ga_s2am_ard_3-2-1_55JDJ_2020-08-03_final
2020-08-03 09:55:05	ga_s2am_ard_3-2-1_55JEH_2020-08-03_final
2020-08-03 09:55:09	ga_s2am_ard_3-2-1_55JDH_2020-08-03_final
2020-08-03 09:55:20	ga_s2am_ard_3-2-1_55JEG_2020-08-03_final
2020-08-03 09:55:24	ga_s2am_ard_3-2-1_55JDG_2020-08-03_final
2020-08-03 09:55:27	ga_s2am_ard_3-2-1_55JCG_2020-08-03_final
2020-08-03 09:55:30	ga_s2am_ard_3-2-1_55JBG_2020-08-03_final
2020-08-03 09:55:42	ga_s2am_ard_3-2-1_55JCF_2020-08-03_final
2020-08-03 09:55:45	ga_s2am_ard_3-2-1_55JBF_2020-08-03_final
2020-08-03 09:55:48	ga_s2am_ard_3-2-1_55HEE_2020-08-03_final
2020-08-03 09:55:53	ga_s2am_ard_3-2-1_55HDE_2020-08-03_final
2020-08-03 09:55:56	ga_s2am_ard_3-2-1_55HCE_2020-08-03_final
2020-08-03 09:55:59	ga_s2am_ard_3-2-1_55HBE_2020-08-03_final
2020-08-03 09:56:03	ga_s2am_ard_3-2-1_54HYK_2020-08-03_final
2020-08-03 09:56:29	ga_s2am_ard_3-2-1_55HBC_2020-08-03_final
2020-08-03 09:56:55	ga_s2am_ard_3-2-1_55HCA_2020-08-03_final
2020-08-03 09:56:58	ga_s2am_ard_3-2-1_55HBA_2020-08-03_final
2020-08-03 09:56:59	ga_s2am_ard_3-2-1_54HYF_2020-08-03_final
2020-08-03 09:57:03	ga_s2am_ard_3-2-1_54HXF_2020-08-03_final
2020-08-03 09:57:12	ga_s2am_ard_3-2-1_55HBV_2020-08-03_final
2020-08-03 09:57:14	ga_s2am_ard_3-2-1_54HYE_2020-08-03_final
2020-08-03 09:57:14	ga_s2am_ard_3-2-1_55HDU_2020-08-03_final
2020-08-03 09:57:53	ga_s2am_ard_3-2-1_55HCS_2020-08-03_final
2020-08-03 09:57:56	ga_s2am_ard_3-2-1_55HBS_2020-08-03_final
2020-08-03 09:57:57	ga_s2am_ard_3-2-1_54HYB_2020-08-03_final
2020-08-03 09:58:19	ga_s2am_ard_3-2-1_55GCQ_2020-08-03_final
2020-08-03 09:58:25	ga_s2am_ard_3-2-1_55GBQ_2020-08-03_final.stac-item
2020-08-03 09:58:29	ga_s2am_ard_3-2-1_55GCP_2020-08-03_final
2020-08-03 11:31:36	ga_s2am_ard_3-2-1_51LWE_2020-08-03_final
2020-08-03 11:32:56	ga_s2am_ard_3-2-1_51KYU_2020-08-03_final
2020-08-03 11:33:00	ga_s2am_ard_3-2-1_51KXU_2020-08-03_final
2020-08-03 11:33:06	ga_s2am_ard_3-2-1_51KYT_2020-08-03_final
2020-08-03 11:33:08	ga_s2am_ard_3-2-1_51KXU_2020-08-03_final
2020-08-03 11:33:09	ga_s2am_ard_3-2-1_51KWT_2020-08-03_final
2020-08-03 11:33:09	ga_s2am_ard_3-2-1_51KYT_2020-08-03_final
2020-08-03 11:33:19	ga_s2am_ard_3-2-1_51KWT_2020-08-03_final
2020-08-03 11:33:22	ga_s2am_ard_3-2-1_51KVT_2020-08-03_final
2020-08-03 11:33:29	ga_s2am_ard_3-2-1_51KXS_2020-08-03_final
2020-08-03 11:33:40	ga_s2am_ard_3-2-1_51KUS_2020-08-03_final
2020-08-03 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-08-03_final
2020-08-03 11:34:06	ga_s2am_ard_3-2-1_51KVQ_2020-08-03_final
2020-08-03 11:34:16	ga_s2am_ard_3-2-1_51KWP_2020-08-03_final
2020-08-03 11:34:20	ga_s2am_ard_3-2-1_51KVP_2020-08-03_final
2020-08-03 11:34:45	ga_s2am_ard_3-2-1_51JWM_2020-08-03_final
2020-08-03 11:34:49	ga_s2am_ard_3-2-1_51JVM_2020-08-03_final
2020-08-03 11:34:55	ga_s2am_ard_3-2-1_51JTM_2020-08-03_final
2020-08-03 11:35:07	ga_s2am_ard_3-2-1_51JUL_2020-08-03_final
2020-08-03 11:35:10	ga_s2am_ard_3-2-1_51JTL_2020-08-03_final
2020-08-03 11:35:14	ga_s2am_ard_3-2-1_51JWK_2020-08-03_final
2020-08-03 11:35:18	ga_s2am_ard_3-2-1_51JVK_2020-08-03_final
2020-08-03 11:35:21	ga_s2am_ard_3-2-1_51JUK_2020-08-03_final
2020-08-03 11:35:25	ga_s2am_ard_3-2-1_51JTK_2020-08-03_final
2020-08-03 11:35:25	ga_s2am_ard_3-2-1_51JWJ_2020-08-03_final
2020-08-03 11:35:32	ga_s2am_ard_3-2-1_51JVJ_2020-08-03_final
2020-08-03 11:35:39	ga_s2am_ard_3-2-1_51JTJ_2020-08-03_final
2020-08-03 11:35:43	ga_s2am_ard_3-2-1_50JQP_2020-08-03_final
2020-08-03 11:35:47	ga_s2am_ard_3-2-1_51JVH_2020-08-03_final
2020-08-03 11:35:56	ga_s2am_ard_3-2-1_50JQN_2020-08-03_final
2020-08-03 11:36:02	ga_s2am_ard_3-2-1_51JVG_2020-08-03_final
2020-08-03 11:36:05	ga_s2am_ard_3-2-1_51JUG_2020-08-03_final
2020-08-03 11:36:08	ga_s2am_ard_3-2-1_51JTG_2020-08-03_final
2020-08-03 11:36:11	ga_s2am_ard_3-2-1_50JQM_2020-08-03_final
2020-08-03 11:36:20	ga_s2am_ard_3-2-1_51JUF_2020-08-03_final
2020-08-03 11:36:23	ga_s2am_ard_3-2-1_51JTF_2020-08-03_final
2020-08-03 11:36:29	ga_s2am_ard_3-2-1_51HVE_2020-08-03_final
2020-08-03 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-08-03_final
2020-08-03 11:36:34	ga_s2am_ard_3-2-1_51HUE_2020-08-03_final
2020-08-03 11:36:38	ga_s2am_ard_3-2-1_51HTE_2020-08-03_final
2020-08-03 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-08-03_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