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
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final
2020-12-03 12:14:07	ga_s2am_ard_3-2-1_50KKV_2020-12-03_final
2020-12-03 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2020-12-03_final
2020-12-03 12:14:18	ga_s2am_ard_3-2-1_50KKU_2020-12-03_final
2020-12-03 12:14:26	ga_s2am_ard_3-2-1_49KGP_2020-12-03_final
2020-12-03 12:14:40	ga_s2am_ard_3-2-1_49JGN_2020-12-03_final
2020-12-03 12:14:59	ga_s2am_ard_3-2-1_49JFM_2020-12-03_final
2020-12-04 10:01:10	ga_s2am_ard_3-2-1_55LCD_2020-12-04_final
2020-12-04 10:01:16	ga_s2am_ard_3-2-1_55LEC_2020-12-04_final
2020-12-04 10:01:23	ga_s2am_ard_3-2-1_55LCC_2020-12-04_final
2020-12-04 10:01:34	ga_s2am_ard_3-2-1_55KDB_2020-12-04_final
2020-12-04 10:02:00	ga_s2am_ard_3-2-1_55KEV_2020-12-04_final
2020-12-04 10:02:03	ga_s2am_ard_3-2-1_55KDV_2020-12-04_final
2020-12-04 10:02:53	ga_s2am_ard_3-2-1_54KZB_2020-12-04_final
2020-12-04 10:02:57	ga_s2am_ard_3-2-1_55KER_2020-12-04_final
2020-12-04 10:03:01	ga_s2am_ard_3-2-1_55KDR_2020-12-04_final
2020-12-04 10:03:08	ga_s2am_ard_3-2-1_54KZA_2020-12-04_final
2020-12-04 10:03:19	ga_s2am_ard_3-2-1_55KCQ_2020-12-04_final
2020-12-04 10:03:22	ga_s2am_ard_3-2-1_55KBQ_2020-12-04_final
2020-12-04 10:03:34	ga_s2am_ard_3-2-1_55KCP_2020-12-04_final
2020-12-04 10:03:37	ga_s2am_ard_3-2-1_55KBP_2020-12-04_final
2020-12-04 10:03:45	ga_s2am_ard_3-2-1_55JDN_2020-12-04_final
2020-12-04 10:03:52	ga_s2am_ard_3-2-1_55JBN_2020-12-04_final
2020-12-04 10:03:55	ga_s2am_ard_3-2-1_54JYT_2020-12-04_final
2020-12-04 10:04:03	ga_s2am_ard_3-2-1_55JCM_2020-12-04_final
2020-12-04 10:04:12	ga_s2am_ard_3-2-1_55JDL_2020-12-04_final
2020-12-04 10:04:17	ga_s2am_ard_3-2-1_55JCL_2020-12-04_final
2020-12-04 10:04:21	ga_s2am_ard_3-2-1_55JBL_2020-12-04_final
2020-12-04 10:04:22	ga_s2am_ard_3-2-1_55JDK_2020-12-04_final
2020-12-04 10:04:31	ga_s2am_ard_3-2-1_54JXR_2020-12-04_final
2020-12-04 10:04:46	ga_s2am_ard_3-2-1_55JCJ_2020-12-04_final
2020-12-04 10:04:50	ga_s2am_ard_3-2-1_55JBJ_2020-12-04_final
2020-12-04 10:04:53	ga_s2am_ard_3-2-1_54JYP_2020-12-04_final
2020-12-04 10:04:56	ga_s2am_ard_3-2-1_54JXP_2020-12-04_final
2020-12-04 10:05:01	ga_s2am_ard_3-2-1_55JCH_2020-12-04_final
2020-12-04 10:05:04	ga_s2am_ard_3-2-1_55JBH_2020-12-04_final
2020-12-04 10:05:07	ga_s2am_ard_3-2-1_54JYN_2020-12-04_final
2020-12-04 10:05:11	ga_s2am_ard_3-2-1_54JXN_2020-12-04_final
2020-12-04 10:05:22	ga_s2am_ard_3-2-1_54JYM_2020-12-04_final
2020-12-04 10:05:28	ga_s2am_ard_3-2-1_55JCF_2020-12-04_final
2020-12-04 10:05:38	ga_s2am_ard_3-2-1_55HCE_2020-12-04_final
2020-12-04 10:05:40	ga_s2am_ard_3-2-1_54JXL_2020-12-04_final
2020-12-04 10:05:44	ga_s2am_ard_3-2-1_54JWL_2020-12-04_final
2020-12-04 10:06:23	ga_s2am_ard_3-2-1_54HXH_2020-12-04_final
2020-12-04 10:06:38	ga_s2am_ard_3-2-1_54HXG_2020-12-04_final
2020-12-04 10:06:41	ga_s2am_ard_3-2-1_54HWG_2020-12-04_final
2020-12-04 10:06:45	ga_s2am_ard_3-2-1_54HVG_2020-12-04_final
2020-12-04 10:06:52	ga_s2am_ard_3-2-1_54HXF_2020-12-04_final
2020-12-04 10:06:54	ga_s2am_ard_3-2-1_55HBV_2020-12-04_final
2020-12-04 10:06:56	ga_s2am_ard_3-2-1_54HWF_2020-12-04_final
2020-12-04 10:07:02	ga_s2am_ard_3-2-1_54HYE_2020-12-04_final
2020-12-04 10:07:06	ga_s2am_ard_3-2-1_54HXE_2020-12-04_final
2020-12-04 10:07:10	ga_s2am_ard_3-2-1_54HWE_2020-12-04_final
2020-12-04 10:07:14	ga_s2am_ard_3-2-1_54HVE_2020-12-04_final
2020-12-04 11:41:46	ga_s2am_ard_3-2-1_51LUD_2020-12-04_final.stac-item
2020-12-04 11:41:54	ga_s2am_ard_3-2-1_51LWC_2020-12-04_final
2020-12-04 11:41:57	ga_s2am_ard_3-2-1_51LVC_2020-12-04_final
2020-12-04 11:42:01	ga_s2am_ard_3-2-1_51LUC_2020-12-04_final.stac-item
2020-12-04 11:42:08	ga_s2am_ard_3-2-1_51KWB_2020-12-04_final
2020-12-04 11:42:12	ga_s2am_ard_3-2-1_51KVB_2020-12-04_final
2020-12-04 11:43:32	ga_s2am_ard_3-2-1_50KRB_2020-12-04_final
2020-12-04 11:43:35	ga_s2am_ard_3-2-1_51KVR_2020-12-04_final
2020-12-04 11:43:46	ga_s2am_ard_3-2-1_50KRA_2020-12-04_final
2020-12-04 11:43:57	ga_s2am_ard_3-2-1_51KUQ_2020-12-04_final
2020-12-04 11:44:00	ga_s2am_ard_3-2-1_51KTQ_2020-12-04_final
2020-12-04 11:44:04	ga_s2am_ard_3-2-1_50KQV_2020-12-04_final
2020-12-04 11:44:09	ga_s2am_ard_3-2-1_50KPV_2020-12-04_final
2020-12-04 11:44:12	ga_s2am_ard_3-2-1_51KUP_2020-12-04_final
2020-12-04 11:44:15	ga_s2am_ard_3-2-1_51KTP_2020-12-04_final
2020-12-04 11:44:18	ga_s2am_ard_3-2-1_50KQU_2020-12-04_final
2020-12-04 11:44:22	ga_s2am_ard_3-2-1_50KPU_2020-12-04_final
2020-12-04 11:44:33	ga_s2am_ard_3-2-1_50JQT_2020-12-04_final
2020-12-04 11:44:39	ga_s2am_ard_3-2-1_51JUM_2020-12-04_final
2020-12-04 11:44:50	ga_s2am_ard_3-2-1_51JUL_2020-12-04_final
2020-12-04 11:44:51	ga_s2am_ard_3-2-1_50JPS_2020-12-04_final
2020-12-04 11:44:58	ga_s2am_ard_3-2-1_51JTL_2020-12-04_final
2020-12-04 11:45:06	ga_s2am_ard_3-2-1_50JPR_2020-12-04_final
2020-12-04 11:45:10	ga_s2am_ard_3-2-1_50JNR_2020-12-04_final
2020-12-04 11:45:13	ga_s2am_ard_3-2-1_51JTK_2020-12-04_final
2020-12-04 11:45:28	ga_s2am_ard_3-2-1_51JTJ_2020-12-04_final
2020-12-04 11:45:31	ga_s2am_ard_3-2-1_50JQP_2020-12-04_final
2020-12-04 11:45:35	ga_s2am_ard_3-2-1_50JPP_2020-12-04_final
2020-12-04 11:45:42	ga_s2am_ard_3-2-1_51JTH_2020-12-04_final
2020-12-04 11:45:45	ga_s2am_ard_3-2-1_50JQN_2020-12-04_final
2020-12-04 11:45:49	ga_s2am_ard_3-2-1_50JPN_2020-12-04_final
2020-12-04 11:45:53	ga_s2am_ard_3-2-1_50JNN_2020-12-04_final
2020-12-04 11:45:59	ga_s2am_ard_3-2-1_50JQM_2020-12-04_final
2020-12-04 11:46:07	ga_s2am_ard_3-2-1_50JNM_2020-12-04_final
2020-12-04 11:46:11	ga_s2am_ard_3-2-1_50JMM_2020-12-04_final
2020-12-04 11:46:17	ga_s2am_ard_3-2-1_50JPL_2020-12-04_final
2020-12-04 11:46:18	ga_s2am_ard_3-2-1_50JNL_2020-12-04_final
2020-12-04 11:46:20	ga_s2am_ard_3-2-1_50JML_2020-12-04_final
2020-12-04 11:46:23	ga_s2am_ard_3-2-1_50HPK_2020-12-04_final
2020-12-04 11:46:23	ga_s2am_ard_3-2-1_50JPL_2020-12-04_final
2020-12-04 11:46:25	ga_s2am_ard_3-2-1_50JNL_2020-12-04_final
2020-12-04 11:46:27	ga_s2am_ard_3-2-1_50JML_2020-12-04_final
2020-12-04 11:46:52	ga_s2am_ard_3-2-1_50HQH_2020-12-04_final
2020-12-04 11:47:01	ga_s2am_ard_3-2-1_50HPH_2020-12-04_final
2020-12-04 11:47:13	ga_s2am_ard_3-2-1_50HLH_2020-12-04_final
2020-12-04 11:47:16	ga_s2am_ard_3-2-1_50HPG_2020-12-04_final.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

Other products

All years