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
2023-04-30 09:51:34	ga_s2am_ard_3-2-1_55KFB_2023-04-30_final.stac-item
2023-04-30 09:51:40	ga_s2am_ard_3-2-1_56KKF_2023-04-30_final.stac-item
2023-04-30 09:51:41	ga_s2am_ard_3-2-1_55KHA_2023-04-30_final.stac-item
2023-04-30 09:51:45	ga_s2am_ard_3-2-1_55KGA_2023-04-30_final.stac-item
2023-04-30 09:51:55	ga_s2am_ard_3-2-1_56KKE_2023-04-30_nrt.stac-item
2023-04-30 09:51:59	ga_s2am_ard_3-2-1_55KGV_2023-04-30_nrt.stac-item
2023-04-30 09:52:35	ga_s2am_ard_3-2-1_55KHS_2023-04-30_final.stac-item
2023-04-30 09:53:15	ga_s2am_ard_3-2-1_55KFQ_2023-04-30_final.stac-item
2023-04-30 09:53:26	ga_s2am_ard_3-2-1_55KGP_2023-04-30_final.stac-item
2023-04-30 09:53:51	ga_s2am_ard_3-2-1_55JDN_2023-04-30_final.stac-item
2023-04-30 09:54:13	ga_s2am_ard_3-2-1_55JFL_2023-04-30_final.stac-item
2023-04-30 09:54:17	ga_s2am_ard_3-2-1_55JEL_2023-04-30_final.stac-item
2023-04-30 09:54:20	ga_s2am_ard_3-2-1_55JDL_2023-04-30_final.stac-item
2023-04-30 09:54:23	ga_s2am_ard_3-2-1_55JCL_2023-04-30_final.stac-item
2023-04-30 09:54:31	ga_s2am_ard_3-2-1_55JEK_2023-04-30_final.stac-item
2023-04-30 09:54:35	ga_s2am_ard_3-2-1_55JDK_2023-04-30_final.stac-item
2023-04-30 09:54:40	ga_s2am_ard_3-2-1_55JFJ_2023-04-30_final.stac-item
2023-04-30 09:54:45	ga_s2am_ard_3-2-1_55JEJ_2023-04-30_final.stac-item
2023-04-30 09:54:49	ga_s2am_ard_3-2-1_55JDJ_2023-04-30_final.stac-item
2023-04-30 09:54:52	ga_s2am_ard_3-2-1_55JCJ_2023-04-30_final.stac-item
2023-04-30 09:55:00	ga_s2am_ard_3-2-1_55JEH_2023-04-30_final.stac-item
2023-04-30 09:55:04	ga_s2am_ard_3-2-1_55JDH_2023-04-30_final.stac-item
2023-04-30 09:55:11	ga_s2am_ard_3-2-1_55JBH_2023-04-30_final.stac-item
2023-04-30 09:55:15	ga_s2am_ard_3-2-1_55JEG_2023-04-30_final.stac-item
2023-04-30 09:55:18	ga_s2am_ard_3-2-1_55JDG_2023-04-30_final.stac-item
2023-04-30 09:55:21	ga_s2am_ard_3-2-1_55JCG_2023-04-30_final.stac-item
2023-04-30 09:55:24	ga_s2am_ard_3-2-1_55JBG_2023-04-30_final.stac-item
2023-04-30 09:55:29	ga_s2am_ard_3-2-1_55JEF_2023-04-30_final.stac-item
2023-04-30 09:55:33	ga_s2am_ard_3-2-1_55JDF_2023-04-30_final.stac-item
2023-04-30 09:55:36	ga_s2am_ard_3-2-1_55JCF_2023-04-30_final.stac-item
2023-04-30 09:55:51	ga_s2am_ard_3-2-1_55HCE_2023-04-30_final.stac-item
2023-04-30 09:56:05	ga_s2am_ard_3-2-1_55HCD_2023-04-30_final.stac-item
2023-04-30 09:56:23	ga_s2am_ard_3-2-1_55HBC_2023-04-30_final.stac-item
2023-04-30 09:56:25	ga_s2am_ard_3-2-1_54HYH_2023-04-30_final.stac-item
2023-04-30 09:56:45	ga_s2am_ard_3-2-1_55HDA_2023-04-30_final.stac-item
2023-04-30 09:56:49	ga_s2am_ard_3-2-1_55HCA_2023-04-30_final.stac-item
2023-04-30 09:56:52	ga_s2am_ard_3-2-1_55HBA_2023-04-30_final.stac-item
2023-04-30 09:56:54	ga_s2am_ard_3-2-1_54HYF_2023-04-30_final.stac-item
2023-04-30 09:56:57	ga_s2am_ard_3-2-1_54HXF_2023-04-30_final.stac-item
2023-04-30 09:57:07	ga_s2am_ard_3-2-1_55HBV_2023-04-30_final.stac-item
2023-04-30 09:57:08	ga_s2am_ard_3-2-1_54HYE_2023-04-30_final.stac-item
2023-04-30 09:57:47	ga_s2am_ard_3-2-1_55HCS_2023-04-30_final.stac-item
2023-04-30 09:57:51	ga_s2am_ard_3-2-1_55HBS_2023-04-30_final.stac-item
2023-04-30 09:57:51	ga_s2am_ard_3-2-1_54HYB_2023-04-30_final.stac-item
2023-04-30 09:57:55	ga_s2am_ard_3-2-1_54HXB_2023-04-30_final.stac-item
2023-04-30 09:57:59	ga_s2am_ard_3-2-1_54HWB_2023-04-30_nrt.stac-item
2023-04-30 09:58:01	ga_s2am_ard_3-2-1_55GCR_2023-04-30_final.stac-item
2023-04-30 09:58:05	ga_s2am_ard_3-2-1_55GBR_2023-04-30_final.stac-item
2023-04-30 09:58:05	ga_s2am_ard_3-2-1_54GYA_2023-04-30_final.stac-item
2023-04-30 09:58:10	ga_s2am_ard_3-2-1_54GXA_2023-04-30_nrt.stac-item
2023-04-30 09:58:13	ga_s2am_ard_3-2-1_54GWA_2023-04-30_nrt.stac-item
2023-04-30 09:58:14	ga_s2am_ard_3-2-1_55GCQ_2023-04-30_final.stac-item
2023-04-30 09:58:19	ga_s2am_ard_3-2-1_55GBQ_2023-04-30_final.stac-item
2023-04-30 09:58:20	ga_s2am_ard_3-2-1_54GYV_2023-04-30_final.stac-item
2023-04-30 09:58:24	ga_s2am_ard_3-2-1_54GXV_2023-04-30_nrt.stac-item
2023-04-30 09:58:26	ga_s2am_ard_3-2-1_54GWV_2023-04-30_nrt.stac-item
2023-04-30 09:58:29	ga_s2am_ard_3-2-1_54GYU_2023-04-30_nrt.stac-item
2023-04-30 09:58:29	ga_s2am_ard_3-2-1_55GBP_2023-04-30_final.stac-item
2023-04-30 09:58:31	ga_s2am_ard_3-2-1_54GXU_2023-04-30_nrt.stac-item
2023-04-30 09:58:32	ga_s2am_ard_3-2-1_54GVV_2023-04-30_nrt.stac-item
2023-04-30 09:58:34	ga_s2am_ard_3-2-1_54GWU_2023-04-30_nrt.stac-item
2023-04-30 11:31:19	ga_s2am_ard_3-2-1_51LWF_2023-04-30_final.stac-item
2023-04-30 11:32:12	ga_s2am_ard_3-2-1_51KXB_2023-04-30_final.stac-item
2023-04-30 11:32:15	ga_s2am_ard_3-2-1_51KWB_2023-04-30_final.stac-item
2023-04-30 11:32:20	ga_s2am_ard_3-2-1_51KVB_2023-04-30_final.stac-item
2023-04-30 11:32:22	ga_s2am_ard_3-2-1_51KYA_2023-04-30_final.stac-item
2023-04-30 11:32:37	ga_s2am_ard_3-2-1_51KYV_2023-04-30_final.stac-item
2023-04-30 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2023-04-30_final.stac-item
2023-04-30 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2023-04-30_final.stac-item
2023-04-30 11:34:25	ga_s2am_ard_3-2-1_51JWN_2023-04-30_final.stac-item
2023-04-30 11:34:29	ga_s2am_ard_3-2-1_51JVN_2023-04-30_final.stac-item
2023-04-30 11:34:37	ga_s2am_ard_3-2-1_50JRT_2023-04-30_final.stac-item
2023-04-30 11:34:47	ga_s2am_ard_3-2-1_51JUM_2023-04-30_final.stac-item
2023-04-30 11:34:49	ga_s2am_ard_3-2-1_50JRS_2023-04-30_final.stac-item
2023-04-30 11:34:55	ga_s2am_ard_3-2-1_51JWL_2023-04-30_final.stac-item
2023-04-30 11:34:58	ga_s2am_ard_3-2-1_51JVL_2023-04-30_final.stac-item
2023-04-30 11:35:04	ga_s2am_ard_3-2-1_51JTL_2023-04-30_final.stac-item
2023-04-30 11:35:08	ga_s2am_ard_3-2-1_51JWK_2023-04-30_final.stac-item
2023-04-30 11:35:12	ga_s2am_ard_3-2-1_51JVK_2023-04-30_final.stac-item
2023-04-30 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2023-04-30_final.stac-item
2023-04-30 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2023-04-30_final.stac-item
2023-04-30 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2023-04-30_final.stac-item
2023-04-30 11:35:37	ga_s2am_ard_3-2-1_50JQP_2023-04-30_final.stac-item
2023-04-30 11:35:41	ga_s2am_ard_3-2-1_51JVH_2023-04-30_final.stac-item
2023-04-30 11:35:48	ga_s2am_ard_3-2-1_51JTH_2023-04-30_final.stac-item
2023-04-30 11:35:51	ga_s2am_ard_3-2-1_50JQN_2023-04-30_final.stac-item
2023-04-30 11:35:56	ga_s2am_ard_3-2-1_51JVG_2023-04-30_final.stac-item
2023-04-30 11:36:03	ga_s2am_ard_3-2-1_51JTG_2023-04-30_final.stac-item
2023-04-30 11:36:05	ga_s2am_ard_3-2-1_50JQM_2023-04-30_final.stac-item
2023-04-30 11:36:10	ga_s2am_ard_3-2-1_51JVF_2023-04-30_final.stac-item
2023-04-30 11:36:14	ga_s2am_ard_3-2-1_51JUF_2023-04-30_final.stac-item
2023-04-30 11:36:23	ga_s2am_ard_3-2-1_51HVE_2023-04-30_final.stac-item
2023-04-30 11:36:27	ga_s2am_ard_3-2-1_50JPL_2023-04-30_final.stac-item
2023-04-30 11:36:29	ga_s2am_ard_3-2-1_51HUE_2023-04-30_final.stac-item
2023-04-30 11:37:01	ga_s2am_ard_3-2-1_51HTC_2023-04-30_final.stac-item
2023-04-30 11:37:03	ga_s2am_ard_3-2-1_50HQH_2023-04-30_final.stac-item
2023-04-30 11:37:25	ga_s2am_ard_3-2-1_51HUA_2023-04-30_nrt.stac-item
2023-04-30 11:37:28	ga_s2am_ard_3-2-1_51HTA_2023-04-30_nrt.stac-item
2023-04-30 11:37:28	ga_s2am_ard_3-2-1_50HQF_2023-04-30_nrt.stac-item
2023-04-30 11:37:30	ga_s2am_ard_3-2-1_50HPF_2023-04-30_nrt.stac-item

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

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