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
2023-09-27 09:51:06	ga_s2am_ard_3-2-1_56LLH_2023-09-27_nrt.stac-item
2023-09-27 09:51:13	ga_s2am_ard_3-2-1_56LKH_2023-09-27_final.stac-item
2023-09-27 09:51:14	ga_s2am_ard_3-2-1_55LHC_2023-09-27_final.stac-item
2023-09-27 09:51:27	ga_s2am_ard_3-2-1_56KKG_2023-09-27_final.stac-item
2023-09-27 09:51:29	ga_s2am_ard_3-2-1_55KHB_2023-09-27_final.stac-item
2023-09-27 09:51:32	ga_s2am_ard_3-2-1_55KGB_2023-09-27_final.stac-item
2023-09-27 09:51:36	ga_s2am_ard_3-2-1_55KFB_2023-09-27_final.stac-item
2023-09-27 09:51:55	ga_s2am_ard_3-2-1_55KEA_2023-09-27_final.stac-item
2023-09-27 09:52:08	ga_s2am_ard_3-2-1_55KEV_2023-09-27_final.stac-item
2023-09-27 09:52:10	ga_s2am_ard_3-2-1_56KKD_2023-09-27_nrt.stac-item
2023-09-27 09:52:12	ga_s2am_ard_3-2-1_55KHU_2023-09-27_final.stac-item
2023-09-27 09:52:16	ga_s2am_ard_3-2-1_55KGU_2023-09-27_final.stac-item
2023-09-27 09:52:26	ga_s2am_ard_3-2-1_55KHT_2023-09-27_final.stac-item
2023-09-27 09:52:34	ga_s2am_ard_3-2-1_55KFT_2023-09-27_final.stac-item
2023-09-27 09:52:37	ga_s2am_ard_3-2-1_55KHS_2023-09-27_final.stac-item
2023-09-27 09:53:06	ga_s2am_ard_3-2-1_55KER_2023-09-27_final.stac-item
2023-09-27 09:53:09	ga_s2am_ard_3-2-1_55KDR_2023-09-27_final.stac-item
2023-09-27 09:53:13	ga_s2am_ard_3-2-1_55KGQ_2023-09-27_final.stac-item
2023-09-27 09:53:38	ga_s2am_ard_3-2-1_55KDP_2023-09-27_final.stac-item
2023-09-27 09:53:46	ga_s2am_ard_3-2-1_55JFN_2023-09-27_final.stac-item
2023-09-27 09:53:50	ga_s2am_ard_3-2-1_55JEN_2023-09-27_final.stac-item
2023-09-27 09:53:53	ga_s2am_ard_3-2-1_55JDN_2023-09-27_final.stac-item
2023-09-27 09:54:00	ga_s2am_ard_3-2-1_55JCN_2023-09-27_final.stac-item
2023-09-27 09:54:15	ga_s2am_ard_3-2-1_55JFL_2023-09-27_final.stac-item
2023-09-27 09:54:25	ga_s2am_ard_3-2-1_55JCL_2023-09-27_final.stac-item
2023-09-27 09:54:33	ga_s2am_ard_3-2-1_55JEK_2023-09-27_final.stac-item
2023-09-27 09:54:37	ga_s2am_ard_3-2-1_55JDK_2023-09-27_final.stac-item
2023-09-27 09:55:13	ga_s2am_ard_3-2-1_55JBH_2023-09-27_final.stac-item
2023-09-27 09:55:16	ga_s2am_ard_3-2-1_55JEG_2023-09-27_final.stac-item
2023-09-27 09:55:26	ga_s2am_ard_3-2-1_55JBG_2023-09-27_final.stac-item
2023-09-27 09:55:33	ga_s2am_ard_3-2-1_55JBG_2023-09-27_final.stac-item
2023-09-27 09:55:45	ga_s2am_ard_3-2-1_55HEE_2023-09-27_final.stac-item
2023-09-27 09:55:49	ga_s2am_ard_3-2-1_55HDE_2023-09-27_final.stac-item
2023-09-27 09:55:59	ga_s2am_ard_3-2-1_54HYK_2023-09-27_final.stac-item
2023-09-27 09:56:10	ga_s2am_ard_3-2-1_55HBD_2023-09-27_final.stac-item
2023-09-27 09:56:18	ga_s2am_ard_3-2-1_55HDC_2023-09-27_final.stac-item
2023-09-27 09:56:22	ga_s2am_ard_3-2-1_55HCC_2023-09-27_final.stac-item
2023-09-27 09:56:36	ga_s2am_ard_3-2-1_55HCB_2023-09-27_final.stac-item
2023-09-27 09:56:41	ga_s2am_ard_3-2-1_54HYG_2023-09-27_final.stac-item
2023-09-27 09:56:54	ga_s2am_ard_3-2-1_55HBA_2023-09-27_final.stac-item
2023-09-27 09:57:00	ga_s2am_ard_3-2-1_55HDV_2023-09-27_final.stac-item
2023-09-27 09:57:05	ga_s2am_ard_3-2-1_55HCV_2023-09-27_final.stac-item
2023-09-27 09:57:09	ga_s2am_ard_3-2-1_55HBV_2023-09-27_final.stac-item
2023-09-27 09:57:10	ga_s2am_ard_3-2-1_54HYE_2023-09-27_final.stac-item
2023-09-27 09:57:10	ga_s2am_ard_3-2-1_55HDU_2023-09-27_final.stac-item
2023-09-27 09:57:14	ga_s2am_ard_3-2-1_54HXE_2023-09-27_final.stac-item
2023-09-27 09:57:20	ga_s2am_ard_3-2-1_55HCU_2023-09-27_final.stac-item
2023-09-27 09:57:23	ga_s2am_ard_3-2-1_55HBU_2023-09-27_final.stac-item
2023-09-27 09:57:24	ga_s2am_ard_3-2-1_54HYD_2023-09-27_final.stac-item
2023-09-27 09:57:28	ga_s2am_ard_3-2-1_54HXD_2023-09-27_final.stac-item
2023-09-27 09:57:34	ga_s2am_ard_3-2-1_55HCT_2023-09-27_final.stac-item
2023-09-27 09:57:39	ga_s2am_ard_3-2-1_54HYC_2023-09-27_final.stac-item
2023-09-27 09:58:31	ga_s2am_ard_3-2-1_54GYU_2023-09-27_nrt.stac-item
2023-09-27 09:58:31	ga_s2am_ard_3-2-1_55GBP_2023-09-27_final.stac-item
2023-09-27 09:58:33	ga_s2am_ard_3-2-1_54GXU_2023-09-27_nrt.stac-item
2023-09-27 11:31:19	ga_s2am_ard_3-2-1_51LWF_2023-09-27_final.stac-item
2023-09-27 11:31:48	ga_s2am_ard_3-2-1_51LWD_2023-09-27_final.stac-item
2023-09-27 11:31:51	ga_s2am_ard_3-2-1_51LZC_2023-09-27_final.stac-item
2023-09-27 11:31:55	ga_s2am_ard_3-2-1_51LYC_2023-09-27_final.stac-item
2023-09-27 11:32:01	ga_s2am_ard_3-2-1_51KZB_2023-09-27_final.stac-item
2023-09-27 11:32:02	ga_s2am_ard_3-2-1_51LWC_2023-09-27_final.stac-item
2023-09-27 11:32:10	ga_s2am_ard_3-2-1_51KYB_2023-09-27_final.stac-item
2023-09-27 11:32:14	ga_s2am_ard_3-2-1_51KXB_2023-09-27_final.stac-item
2023-09-27 11:32:17	ga_s2am_ard_3-2-1_51KWB_2023-09-27_final.stac-item
2023-09-27 11:32:31	ga_s2am_ard_3-2-1_51KWA_2023-09-27_final.stac-item
2023-09-27 11:32:46	ga_s2am_ard_3-2-1_51KWV_2023-09-27_final.stac-item
2023-09-27 11:32:49	ga_s2am_ard_3-2-1_51KVV_2023-09-27_final.stac-item
2023-09-27 11:33:04	ga_s2am_ard_3-2-1_51KYT_2023-09-27_final.stac-item
2023-09-27 11:33:11	ga_s2am_ard_3-2-1_51KXT_2023-09-27_final.stac-item
2023-09-27 11:34:07	ga_s2am_ard_3-2-1_51KXP_2023-09-27_final.stac-item
2023-09-27 11:34:13	ga_s2am_ard_3-2-1_51KWP_2023-09-27_final.stac-item
2023-09-27 11:34:16	ga_s2am_ard_3-2-1_51KVP_2023-09-27_final.stac-item
2023-09-27 11:34:17	ga_s2am_ard_3-2-1_51JXN_2023-09-27_final.stac-item
2023-09-27 11:34:20	ga_s2am_ard_3-2-1_51KUP_2023-09-27_final.stac-item
2023-09-27 11:34:27	ga_s2am_ard_3-2-1_51JWN_2023-09-27_final.stac-item
2023-09-27 11:34:31	ga_s2am_ard_3-2-1_51JVN_2023-09-27_final.stac-item
2023-09-27 11:34:34	ga_s2am_ard_3-2-1_51JUN_2023-09-27_final.stac-item
2023-09-27 11:34:38	ga_s2am_ard_3-2-1_51JTN_2023-09-27_final.stac-item
2023-09-27 11:34:39	ga_s2am_ard_3-2-1_50JRT_2023-09-27_final.stac-item
2023-09-27 11:34:51	ga_s2am_ard_3-2-1_50JRS_2023-09-27_final.stac-item
2023-09-27 11:35:03	ga_s2am_ard_3-2-1_51JUL_2023-09-27_final.stac-item
2023-09-27 11:35:06	ga_s2am_ard_3-2-1_51JTL_2023-09-27_final.stac-item
2023-09-27 11:35:10	ga_s2am_ard_3-2-1_51JWK_2023-09-27_final.stac-item
2023-09-27 11:35:14	ga_s2am_ard_3-2-1_51JVK_2023-09-27_final.stac-item
2023-09-27 11:35:58	ga_s2am_ard_3-2-1_51JVG_2023-09-27_final.stac-item
2023-09-27 11:36:02	ga_s2am_ard_3-2-1_51JUG_2023-09-27_final.stac-item
2023-09-27 11:36:05	ga_s2am_ard_3-2-1_51JTG_2023-09-27_final.stac-item
2023-09-27 11:36:07	ga_s2am_ard_3-2-1_50JQM_2023-09-27_final.stac-item
2023-09-27 11:36:12	ga_s2am_ard_3-2-1_51JVF_2023-09-27_final.stac-item
2023-09-27 11:36:28	ga_s2am_ard_3-2-1_50JPL_2023-09-27_final.stac-item
2023-09-27 11:36:34	ga_s2am_ard_3-2-1_51HTE_2023-09-27_final.stac-item
2023-09-27 11:36:36	ga_s2am_ard_3-2-1_50HQK_2023-09-27_final.stac-item
2023-09-27 11:36:49	ga_s2am_ard_3-2-1_51HTD_2023-09-27_final.stac-item
2023-09-27 11:37:03	ga_s2am_ard_3-2-1_51HTC_2023-09-27_final.stac-item
2023-09-27 11:37:05	ga_s2am_ard_3-2-1_50HQH_2023-09-27_final.stac-item
2023-09-27 11:37:09	ga_s2am_ard_3-2-1_50HPH_2023-09-27_final.stac-item
2023-09-27 11:37:14	ga_s2am_ard_3-2-1_51HUB_2023-09-27_final.stac-item
2023-09-27 11:37:19	ga_s2am_ard_3-2-1_50HQG_2023-09-27_final.stac-item
2023-09-27 11:37:28	ga_s2am_ard_3-2-1_50HNG_2023-09-27_final.stac-item
2023-09-27 11:37:30	ga_s2am_ard_3-2-1_51HTA_2023-09-27_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

Other products

All years