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
2021-05-09 10:27:04	ga_s2am_ard_3-2-1_53HPA_2021-05-09_final
2021-05-09 10:27:11	ga_s2am_ard_3-2-1_54HTE_2021-05-09_final.stac-item
2021-05-09 10:27:12	ga_s2am_ard_3-2-1_53HQV_2021-05-09_final.stac-item
2021-05-09 10:27:14	ga_s2am_ard_3-2-1_53HPV_2021-05-09_final.stac-item
2021-05-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-05-09_final.stac-item
2021-05-09 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-05-09_final
2021-05-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-05-09_final
2021-05-09 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-05-09_final
2021-05-09 12:04:38	ga_s2am_ard_3-2-1_50JLT_2021-05-09_final
2021-05-09 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-05-09_final
2021-05-09 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-05-09_final
2021-05-09 12:04:58	ga_s2am_ard_3-2-1_50JMR_2021-05-09_final
2021-05-09 12:05:07	ga_s2am_ard_3-2-1_50JLR_2021-05-09_final
2021-05-09 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-05-09_final
2021-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2021-05-09_final
2021-05-09 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-05-09_final
2021-05-09 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2021-05-09_final
2021-05-09 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-05-09_final
2021-05-09 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-05-09_final
2021-05-09 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-05-09_final
2021-05-09 12:05:50	ga_s2am_ard_3-2-1_50JLN_2021-05-09_final
2021-05-09 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-05-09_final
2021-05-09 12:05:57	ga_s2am_ard_3-2-1_49JGH_2021-05-09_final.stac-item
2021-05-09 12:06:03	ga_s2am_ard_3-2-1_50JLM_2021-05-09_final
2021-05-09 12:06:13	ga_s2am_ard_3-2-1_50JLL_2021-05-09_final
2021-05-10 09:51:18	ga_s2am_ard_3-2-1_55LFC_2021-05-10_final
2021-05-10 09:51:32	ga_s2am_ard_3-2-1_55KFB_2021-05-10_final
2021-05-10 09:52:05	ga_s2am_ard_3-2-1_55KEV_2021-05-10_final
2021-05-10 09:52:34	ga_s2am_ard_3-2-1_55KHS_2021-05-10_final
2021-05-10 09:53:43	ga_s2am_ard_3-2-1_55JFN_2021-05-10_final
2021-05-10 09:53:57	ga_s2am_ard_3-2-1_55JCN_2021-05-10_final
2021-05-10 09:54:12	ga_s2am_ard_3-2-1_55JFL_2021-05-10_final
2021-05-10 09:54:16	ga_s2am_ard_3-2-1_55JEL_2021-05-10_final
2021-05-10 09:54:22	ga_s2am_ard_3-2-1_55JCL_2021-05-10_final
2021-05-10 09:54:26	ga_s2am_ard_3-2-1_55JFK_2021-05-10_final
2021-05-10 09:54:30	ga_s2am_ard_3-2-1_55JEK_2021-05-10_final
2021-05-10 09:54:34	ga_s2am_ard_3-2-1_55JDK_2021-05-10_final
2021-05-10 09:54:37	ga_s2am_ard_3-2-1_55JCK_2021-05-10_final
2021-05-10 09:54:39	ga_s2am_ard_3-2-1_55JFJ_2021-05-10_final
2021-05-10 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2021-05-10_final
2021-05-10 09:54:48	ga_s2am_ard_3-2-1_55JDJ_2021-05-10_final
2021-05-10 09:54:50	ga_s2am_ard_3-2-1_55JFH_2021-05-10_final
2021-05-10 09:54:51	ga_s2am_ard_3-2-1_55JCJ_2021-05-10_final
2021-05-10 09:54:59	ga_s2am_ard_3-2-1_55JEH_2021-05-10_final
2021-05-10 09:55:03	ga_s2am_ard_3-2-1_55JDH_2021-05-10_final
2021-05-10 09:55:06	ga_s2am_ard_3-2-1_55JCH_2021-05-10_final
2021-05-10 09:55:10	ga_s2am_ard_3-2-1_55JBH_2021-05-10_final
2021-05-10 09:55:13	ga_s2am_ard_3-2-1_55JEG_2021-05-10_final
2021-05-10 09:55:17	ga_s2am_ard_3-2-1_55JDG_2021-05-10_final
2021-05-10 09:55:20	ga_s2am_ard_3-2-1_55JCG_2021-05-10_final
2021-05-10 09:55:28	ga_s2am_ard_3-2-1_55JEF_2021-05-10_final
2021-05-10 09:55:32	ga_s2am_ard_3-2-1_55JDF_2021-05-10_final
2021-05-10 09:55:35	ga_s2am_ard_3-2-1_55JCF_2021-05-10_final
2021-05-10 09:55:38	ga_s2am_ard_3-2-1_55JBF_2021-05-10_final
2021-05-10 09:55:42	ga_s2am_ard_3-2-1_55HEE_2021-05-10_final
2021-05-10 09:55:46	ga_s2am_ard_3-2-1_55HDE_2021-05-10_final
2021-05-10 09:55:49	ga_s2am_ard_3-2-1_55HCE_2021-05-10_final
2021-05-10 09:55:53	ga_s2am_ard_3-2-1_55HBE_2021-05-10_final
2021-05-10 09:55:53	ga_s2am_ard_3-2-1_55HED_2021-05-10_final
2021-05-10 09:55:56	ga_s2am_ard_3-2-1_54HYK_2021-05-10_final
2021-05-10 09:56:00	ga_s2am_ard_3-2-1_55HDD_2021-05-10_final
2021-05-10 09:56:04	ga_s2am_ard_3-2-1_55HCD_2021-05-10_final
2021-05-10 09:56:07	ga_s2am_ard_3-2-1_55HBD_2021-05-10_final
2021-05-10 09:56:09	ga_s2am_ard_3-2-1_54HYJ_2021-05-10_final
2021-05-10 09:56:15	ga_s2am_ard_3-2-1_55HDC_2021-05-10_final
2021-05-10 09:56:19	ga_s2am_ard_3-2-1_55HCC_2021-05-10_final
2021-05-10 09:56:22	ga_s2am_ard_3-2-1_55HBC_2021-05-10_final
2021-05-10 09:56:24	ga_s2am_ard_3-2-1_54HYH_2021-05-10_final
2021-05-10 09:56:30	ga_s2am_ard_3-2-1_55HDB_2021-05-10_final
2021-05-10 09:56:33	ga_s2am_ard_3-2-1_55HCB_2021-05-10_final
2021-05-10 09:56:36	ga_s2am_ard_3-2-1_55HBB_2021-05-10_final
2021-05-10 09:56:38	ga_s2am_ard_3-2-1_54HYG_2021-05-10_final
2021-05-10 09:56:44	ga_s2am_ard_3-2-1_55HDA_2021-05-10_final
2021-05-10 09:56:45	ga_s2am_ard_3-2-1_54HXG_2021-05-10_final
2021-05-10 09:56:48	ga_s2am_ard_3-2-1_55HCA_2021-05-10_final
2021-05-10 09:56:51	ga_s2am_ard_3-2-1_55HBA_2021-05-10_final
2021-05-10 09:56:52	ga_s2am_ard_3-2-1_54HYF_2021-05-10_final
2021-05-10 09:56:56	ga_s2am_ard_3-2-1_54HXF_2021-05-10_final
2021-05-10 09:56:57	ga_s2am_ard_3-2-1_55HDV_2021-05-10_final
2021-05-10 09:57:02	ga_s2am_ard_3-2-1_55HCV_2021-05-10_final
2021-05-10 09:57:06	ga_s2am_ard_3-2-1_55HBV_2021-05-10_final
2021-05-10 09:57:07	ga_s2am_ard_3-2-1_54HYE_2021-05-10_final
2021-05-10 09:57:07	ga_s2am_ard_3-2-1_55HDU_2021-05-10_final
2021-05-10 09:57:11	ga_s2am_ard_3-2-1_54HXE_2021-05-10_final
2021-05-10 09:57:17	ga_s2am_ard_3-2-1_55HCU_2021-05-10_final
2021-05-10 09:57:20	ga_s2am_ard_3-2-1_55HBU_2021-05-10_final
2021-05-10 09:57:21	ga_s2am_ard_3-2-1_54HYD_2021-05-10_final
2021-05-10 09:57:25	ga_s2am_ard_3-2-1_54HXD_2021-05-10_final
2021-05-10 09:57:31	ga_s2am_ard_3-2-1_55HCT_2021-05-10_final
2021-05-10 09:57:35	ga_s2am_ard_3-2-1_55HBT_2021-05-10_final
2021-05-10 09:57:36	ga_s2am_ard_3-2-1_54HYC_2021-05-10_final
2021-05-10 09:57:40	ga_s2am_ard_3-2-1_54HXC_2021-05-10_final
2021-05-10 09:57:44	ga_s2am_ard_3-2-1_54HWC_2021-05-10_final
2021-05-10 09:57:49	ga_s2am_ard_3-2-1_55HBS_2021-05-10_final
2021-05-10 09:58:00	ga_s2am_ard_3-2-1_55GCR_2021-05-10_final
2021-05-10 09:58:04	ga_s2am_ard_3-2-1_55GBR_2021-05-10_final
2021-05-10 09:58:04	ga_s2am_ard_3-2-1_54GYA_2021-05-10_final
2021-05-10 09:58:13	ga_s2am_ard_3-2-1_55GCQ_2021-05-10_final
2021-05-10 09:58:18	ga_s2am_ard_3-2-1_55GBQ_2021-05-10_final.stac-item
2021-05-10 09:58:19	ga_s2am_ard_3-2-1_54GYV_2021-05-10_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