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
2021-12-16 09:55:21	ga_s2am_ard_3-2-1_55JCG_2021-12-16_final
2021-12-16 09:55:29	ga_s2am_ard_3-2-1_55JEF_2021-12-16_final
2021-12-16 09:55:32	ga_s2am_ard_3-2-1_55JDF_2021-12-16_final
2021-12-16 09:55:36	ga_s2am_ard_3-2-1_55JCF_2021-12-16_final
2021-12-16 09:55:39	ga_s2am_ard_3-2-1_55JBF_2021-12-16_final
2021-12-16 09:55:43	ga_s2am_ard_3-2-1_55HEE_2021-12-16_final
2021-12-16 09:55:47	ga_s2am_ard_3-2-1_55HDE_2021-12-16_final
2021-12-16 09:55:50	ga_s2am_ard_3-2-1_55HCE_2021-12-16_final
2021-12-16 09:55:54	ga_s2am_ard_3-2-1_55HBE_2021-12-16_final
2021-12-16 09:55:54	ga_s2am_ard_3-2-1_55HED_2021-12-16_final
2021-12-16 09:56:01	ga_s2am_ard_3-2-1_55HDD_2021-12-16_final
2021-12-16 09:56:05	ga_s2am_ard_3-2-1_55HCD_2021-12-16_final
2021-12-16 09:56:08	ga_s2am_ard_3-2-1_55HBD_2021-12-16_final
2021-12-16 09:56:10	ga_s2am_ard_3-2-1_54HYJ_2021-12-16_final
2021-12-16 09:56:16	ga_s2am_ard_3-2-1_55HDC_2021-12-16_final
2021-12-16 09:56:31	ga_s2am_ard_3-2-1_55HDB_2021-12-16_final
2021-12-16 09:56:37	ga_s2am_ard_3-2-1_55HBB_2021-12-16_final
2021-12-16 09:56:39	ga_s2am_ard_3-2-1_54HYG_2021-12-16_final
2021-12-16 09:56:46	ga_s2am_ard_3-2-1_54HXG_2021-12-16_final
2021-12-16 09:56:49	ga_s2am_ard_3-2-1_55HCA_2021-12-16_final
2021-12-16 09:56:52	ga_s2am_ard_3-2-1_55HBA_2021-12-16_final
2021-12-16 09:56:53	ga_s2am_ard_3-2-1_54HYF_2021-12-16_final
2021-12-16 09:56:57	ga_s2am_ard_3-2-1_54HXF_2021-12-16_final
2021-12-16 09:57:06	ga_s2am_ard_3-2-1_55HBV_2021-12-16_final
2021-12-16 09:57:08	ga_s2am_ard_3-2-1_54HYE_2021-12-16_final
2021-12-16 09:57:08	ga_s2am_ard_3-2-1_55HDU_2021-12-16_final
2021-12-16 09:57:17	ga_s2am_ard_3-2-1_55HCU_2021-12-16_final
2021-12-16 09:57:21	ga_s2am_ard_3-2-1_55HBU_2021-12-16_final
2021-12-16 09:57:22	ga_s2am_ard_3-2-1_54HYD_2021-12-16_final
2021-12-16 09:57:26	ga_s2am_ard_3-2-1_54HXD_2021-12-16_final
2021-12-16 09:57:32	ga_s2am_ard_3-2-1_55HCT_2021-12-16_final
2021-12-16 09:57:36	ga_s2am_ard_3-2-1_55HBT_2021-12-16_final
2021-12-16 09:57:37	ga_s2am_ard_3-2-1_54HYC_2021-12-16_final
2021-12-16 09:57:40	ga_s2am_ard_3-2-1_54HXC_2021-12-16_final
2021-12-16 09:57:45	ga_s2am_ard_3-2-1_54HWC_2021-12-16_final
2021-12-16 09:58:01	ga_s2am_ard_3-2-1_55GCR_2021-12-16_final
2021-12-16 09:58:05	ga_s2am_ard_3-2-1_55GBR_2021-12-16_final
2021-12-16 09:58:05	ga_s2am_ard_3-2-1_54GYA_2021-12-16_final
2021-12-16 09:58:13	ga_s2am_ard_3-2-1_55GCQ_2021-12-16_final
2021-12-16 09:58:19	ga_s2am_ard_3-2-1_55GBQ_2021-12-16_final.stac-item
2021-12-16 09:58:19	ga_s2am_ard_3-2-1_54GYV_2021-12-16_final.stac-item
2021-12-16 09:58:23	ga_s2am_ard_3-2-1_55GCP_2021-12-16_final
2021-12-16 11:31:18	ga_s2am_ard_3-2-1_52LBK_2021-12-16_final
2021-12-16 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-12-16_final
2021-12-16 11:31:24	ga_s2am_ard_3-2-1_51LYE_2021-12-16_final
2021-12-16 11:31:29	ga_s2am_ard_3-2-1_52LBJ_2021-12-16_final
2021-12-16 11:31:35	ga_s2am_ard_3-2-1_51LZD_2021-12-16_final
2021-12-16 11:31:39	ga_s2am_ard_3-2-1_51LYD_2021-12-16_final
2021-12-16 11:31:57	ga_s2am_ard_3-2-1_51LXC_2021-12-16_final
2021-12-16 11:32:00	ga_s2am_ard_3-2-1_51LWC_2021-12-16_final
2021-12-16 11:32:11	ga_s2am_ard_3-2-1_51KXB_2021-12-16_final
2021-12-16 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-12-16_final
2021-12-16 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-12-16_final
2021-12-16 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-12-16_final
2021-12-16 11:32:32	ga_s2am_ard_3-2-1_51KVA_2021-12-16_final
2021-12-16 11:32:40	ga_s2am_ard_3-2-1_51KXV_2021-12-16_final
2021-12-16 11:32:44	ga_s2am_ard_3-2-1_51KWV_2021-12-16_final
2021-12-16 11:34:37	ga_s2am_ard_3-2-1_50JRT_2021-12-16_final
2021-12-16 11:34:46	ga_s2am_ard_3-2-1_51JUM_2021-12-16_final
2021-12-16 11:35:30	ga_s2am_ard_3-2-1_51JUJ_2021-12-16_final
2021-12-16 11:35:45	ga_s2am_ard_3-2-1_51JUH_2021-12-16_final
2021-12-16 11:35:56	ga_s2am_ard_3-2-1_51JVG_2021-12-16_final
2021-12-16 11:35:59	ga_s2am_ard_3-2-1_51JUG_2021-12-16_final
2021-12-16 11:36:14	ga_s2am_ard_3-2-1_51JUF_2021-12-16_final
2021-12-16 11:36:17	ga_s2am_ard_3-2-1_51JTF_2021-12-16_final
2021-12-16 11:36:20	ga_s2am_ard_3-2-1_50JQL_2021-12-16_final
2021-12-16 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-12-16_final
2021-12-16 11:36:26	ga_s2am_ard_3-2-1_50JPL_2021-12-16_final
2021-12-16 11:36:28	ga_s2am_ard_3-2-1_51HUE_2021-12-16_final
2021-12-16 11:36:32	ga_s2am_ard_3-2-1_51HTE_2021-12-16_final
2021-12-16 11:36:33	ga_s2am_ard_3-2-1_51HVD_2021-12-16_final
2021-12-16 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-12-16_final
2021-12-16 11:36:46	ga_s2am_ard_3-2-1_51HTD_2021-12-16_final
2021-12-16 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2021-12-16_final
2021-12-16 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2021-12-16_final
2021-12-16 11:37:09	ga_s2am_ard_3-2-1_51HUB_2021-12-16_final.stac-item
2021-12-16 11:37:10	ga_s2am_ard_3-2-1_51HTB_2021-12-16_final.stac-item
2021-12-16 11:37:11	ga_s2am_ard_3-2-1_50HQG_2021-12-16_final.stac-item
2021-12-16 11:37:12	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final.stac-item
2021-12-16 11:37:16	ga_s2am_ard_3-2-1_51HUB_2021-12-16_final.stac-item
2021-12-16 11:37:17	ga_s2am_ard_3-2-1_51HTB_2021-12-16_final.stac-item
2021-12-16 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-12-16_final.stac-item
2021-12-16 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final.stac-item
2021-12-16 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-12-16_final.stac-item
2021-12-17 09:23:40	ga_s2am_ard_3-2-1_56JNT_2021-12-16_final
2021-12-17 09:25:30	ga_s2am_ard_3-2-1_56JLL_2021-12-16_final
2021-12-17 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-12-16_final
2021-12-17 09:25:43	ga_s2am_ard_3-2-1_56HLK_2021-12-16_final
2021-12-17 09:25:54	ga_s2am_ard_3-2-1_56HMJ_2021-12-16_final
2021-12-17 09:25:57	ga_s2am_ard_3-2-1_56HLJ_2021-12-16_final
2021-12-17 09:26:12	ga_s2am_ard_3-2-1_56HLH_2021-12-16_final.stac-item
2021-12-17 09:26:27	ga_s2am_ard_3-2-1_56HLG_2021-12-16_final.stac-item
2021-12-17 09:26:32	ga_s2am_ard_3-2-1_56HKG_2021-12-16_final
2021-12-17 09:26:44	ga_s2am_ard_3-2-1_56HKF_2021-12-16_final
2021-12-17 09:27:01	ga_s2am_ard_3-2-1_55HGV_2021-12-16_final
2021-12-17 09:27:14	ga_s2am_ard_3-2-1_55HGU_2021-12-16_final.stac-item
2021-12-17 09:28:02	ga_s2am_ard_3-2-1_55GFR_2021-12-16_final
2021-12-17 09:28:16	ga_s2am_ard_3-2-1_55GFQ_2021-12-16_final
2021-12-17 09:28:45	ga_s2am_ard_3-2-1_55GFN_2021-12-16_final
2021-12-17 09:28:49	ga_s2am_ard_3-2-1_55GEN_2021-12-16_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