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
2021-01-09 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-09_final
2021-01-09 12:05:09	ga_s2am_ard_3-2-1_49JFM_2021-01-09_final
2021-01-09 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-01-09_final
2021-01-09 12:05:38	ga_s2am_ard_3-2-1_50JLP_2021-01-09_final
2021-01-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-01-09_final
2021-01-09 12:06:05	ga_s2am_ard_3-2-1_50JLM_2021-01-09_final
2021-01-09 12:06:14	ga_s2am_ard_3-2-1_50JLL_2021-01-09_final
2021-01-10 09:51:19	ga_s2am_ard_3-2-1_55LFC_2021-01-10_final
2021-01-10 09:51:34	ga_s2am_ard_3-2-1_55KFB_2021-01-10_final
2021-01-10 09:52:06	ga_s2am_ard_3-2-1_55KEV_2021-01-10_final
2021-01-10 09:52:36	ga_s2am_ard_3-2-1_55KHS_2021-01-10_final
2021-01-10 09:53:08	ga_s2am_ard_3-2-1_55KDR_2021-01-10_final
2021-01-10 09:53:12	ga_s2am_ard_3-2-1_55KGQ_2021-01-10_final
2021-01-10 09:53:48	ga_s2am_ard_3-2-1_55JEN_2021-01-10_final
2021-01-10 09:53:51	ga_s2am_ard_3-2-1_55JDN_2021-01-10_final
2021-01-10 09:53:59	ga_s2am_ard_3-2-1_55JFM_2021-01-10_final
2021-01-10 09:54:10	ga_s2am_ard_3-2-1_55JCM_2021-01-10_final
2021-01-10 09:54:38	ga_s2am_ard_3-2-1_55JCK_2021-01-10_final
2021-01-10 09:54:41	ga_s2am_ard_3-2-1_55JFJ_2021-01-10_final
2021-01-10 09:54:51	ga_s2am_ard_3-2-1_55JFH_2021-01-10_final
2021-01-10 09:54:53	ga_s2am_ard_3-2-1_55JCJ_2021-01-10_final
2021-01-10 09:55:22	ga_s2am_ard_3-2-1_55JCG_2021-01-10_final
2021-01-10 09:55:37	ga_s2am_ard_3-2-1_55JCF_2021-01-10_final
2021-01-10 09:55:48	ga_s2am_ard_3-2-1_55HDE_2021-01-10_final
2021-01-10 09:55:54	ga_s2am_ard_3-2-1_55HBE_2021-01-10_final
2021-01-10 09:55:55	ga_s2am_ard_3-2-1_55HED_2021-01-10_final
2021-01-10 09:56:02	ga_s2am_ard_3-2-1_55HDD_2021-01-10_final
2021-01-10 09:56:06	ga_s2am_ard_3-2-1_55HCD_2021-01-10_final
2021-01-10 09:56:09	ga_s2am_ard_3-2-1_55HBD_2021-01-10_final
2021-01-10 09:56:11	ga_s2am_ard_3-2-1_54HYJ_2021-01-10_final
2021-01-10 09:56:16	ga_s2am_ard_3-2-1_55HDC_2021-01-10_final
2021-01-10 09:56:20	ga_s2am_ard_3-2-1_55HCC_2021-01-10_final
2021-01-10 09:56:31	ga_s2am_ard_3-2-1_55HDB_2021-01-10_final
2021-01-10 09:56:38	ga_s2am_ard_3-2-1_55HBB_2021-01-10_final
2021-01-10 09:56:40	ga_s2am_ard_3-2-1_54HYG_2021-01-10_final
2021-01-10 09:56:49	ga_s2am_ard_3-2-1_55HCA_2021-01-10_final
2021-01-10 09:56:53	ga_s2am_ard_3-2-1_55HBA_2021-01-10_final
2021-01-10 09:56:54	ga_s2am_ard_3-2-1_54HYF_2021-01-10_final
2021-01-10 09:56:58	ga_s2am_ard_3-2-1_54HXF_2021-01-10_final
2021-01-10 09:57:09	ga_s2am_ard_3-2-1_55HDU_2021-01-10_final
2021-01-10 09:57:18	ga_s2am_ard_3-2-1_55HCU_2021-01-10_final
2021-01-10 09:57:22	ga_s2am_ard_3-2-1_55HBU_2021-01-10_final
2021-01-10 09:57:23	ga_s2am_ard_3-2-1_54HYD_2021-01-10_final
2021-01-10 09:57:27	ga_s2am_ard_3-2-1_54HXD_2021-01-10_final
2021-01-10 09:57:33	ga_s2am_ard_3-2-1_55HCT_2021-01-10_final
2021-01-10 09:57:36	ga_s2am_ard_3-2-1_55HBT_2021-01-10_final
2021-01-10 09:57:37	ga_s2am_ard_3-2-1_54HYC_2021-01-10_final
2021-01-10 09:57:41	ga_s2am_ard_3-2-1_54HXC_2021-01-10_final
2021-01-10 09:57:46	ga_s2am_ard_3-2-1_54HWC_2021-01-10_final
2021-01-10 09:58:02	ga_s2am_ard_3-2-1_55GCR_2021-01-10_final
2021-01-10 09:58:05	ga_s2am_ard_3-2-1_55GBR_2021-01-10_final
2021-01-10 09:58:06	ga_s2am_ard_3-2-1_54GYA_2021-01-10_final
2021-01-10 09:58:14	ga_s2am_ard_3-2-1_55GCQ_2021-01-10_final
2021-01-10 09:58:20	ga_s2am_ard_3-2-1_55GBQ_2021-01-10_final.stac-item
2021-01-10 09:58:20	ga_s2am_ard_3-2-1_54GYV_2021-01-10_final.stac-item
2021-01-10 11:31:19	ga_s2am_ard_3-2-1_52LBK_2021-01-10_final
2021-01-10 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-01-10_final
2021-01-10 11:31:25	ga_s2am_ard_3-2-1_51LYE_2021-01-10_final
2021-01-10 11:31:29	ga_s2am_ard_3-2-1_52LBJ_2021-01-10_final
2021-01-10 11:31:36	ga_s2am_ard_3-2-1_51LZD_2021-01-10_final
2021-01-10 11:31:39	ga_s2am_ard_3-2-1_51LYD_2021-01-10_final
2021-01-10 11:31:43	ga_s2am_ard_3-2-1_51LXD_2021-01-10_final
2021-01-10 11:31:57	ga_s2am_ard_3-2-1_51LXC_2021-01-10_final
2021-01-10 11:32:01	ga_s2am_ard_3-2-1_51LWC_2021-01-10_final
2021-01-10 11:32:12	ga_s2am_ard_3-2-1_51KXB_2021-01-10_final
2021-01-10 11:32:15	ga_s2am_ard_3-2-1_51KWB_2021-01-10_final
2021-01-10 11:32:30	ga_s2am_ard_3-2-1_51KWA_2021-01-10_final
2021-01-10 11:32:33	ga_s2am_ard_3-2-1_51KVA_2021-01-10_final
2021-01-10 11:32:41	ga_s2am_ard_3-2-1_51KXV_2021-01-10_final
2021-01-10 11:32:44	ga_s2am_ard_3-2-1_51KWV_2021-01-10_final
2021-01-10 11:32:47	ga_s2am_ard_3-2-1_51KVV_2021-01-10_final
2021-01-10 11:33:42	ga_s2am_ard_3-2-1_51KWR_2021-01-10_final
2021-01-10 11:33:46	ga_s2am_ard_3-2-1_51KVR_2021-01-10_final
2021-01-10 11:34:16	ga_s2am_ard_3-2-1_51JXN_2021-01-10_final
2021-01-10 11:34:26	ga_s2am_ard_3-2-1_51JWN_2021-01-10_final
2021-01-10 11:34:29	ga_s2am_ard_3-2-1_51JVN_2021-01-10_final
2021-01-10 11:34:33	ga_s2am_ard_3-2-1_51JUN_2021-01-10_final
2021-01-10 11:34:37	ga_s2am_ard_3-2-1_50JRT_2021-01-10_final
2021-01-10 11:34:47	ga_s2am_ard_3-2-1_51JUM_2021-01-10_final
2021-01-10 11:34:50	ga_s2am_ard_3-2-1_50JRS_2021-01-10_final
2021-01-10 11:35:16	ga_s2am_ard_3-2-1_51JUK_2021-01-10_final
2021-01-10 11:35:31	ga_s2am_ard_3-2-1_51JUJ_2021-01-10_final
2021-01-10 11:35:38	ga_s2am_ard_3-2-1_50JQP_2021-01-10_final
2021-01-10 11:35:42	ga_s2am_ard_3-2-1_51JVH_2021-01-10_final
2021-01-10 11:36:00	ga_s2am_ard_3-2-1_51JUG_2021-01-10_final
2021-01-10 11:36:15	ga_s2am_ard_3-2-1_51JUF_2021-01-10_final
2021-01-10 11:36:24	ga_s2am_ard_3-2-1_51HVE_2021-01-10_final
2021-01-10 11:36:27	ga_s2am_ard_3-2-1_50JPL_2021-01-10_final
2021-01-10 11:36:32	ga_s2am_ard_3-2-1_51HTE_2021-01-10_final
2021-01-10 11:36:34	ga_s2am_ard_3-2-1_51HVD_2021-01-10_final
2021-01-10 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-10_final
2021-01-10 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-01-10_final
2021-01-10 11:36:47	ga_s2am_ard_3-2-1_51HTD_2021-01-10_final
2021-01-10 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2021-01-10_final
2021-01-10 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-01-10_final
2021-01-10 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-01-10_final
2021-01-10 11:37:07	ga_s2am_ard_3-2-1_50HPH_2021-01-10_final
2021-01-10 11:37:13	ga_s2am_ard_3-2-1_51HUB_2021-01-10_final.stac-item
2021-01-10 11:37:16	ga_s2am_ard_3-2-1_51HTB_2021-01-10_final.stac-item
2021-01-10 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-01-10_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