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

80 results

Time (local)	Label
2023-03-05 09:33:50	ga_s2am_ard_3-2-1_56JMS_2023-03-05_final.stac-item
2023-03-05 09:34:19	ga_s2am_ard_3-2-1_56JMQ_2023-03-05_final.stac-item
2023-03-05 09:35:41	ga_s2am_ard_3-2-1_55HGE_2023-03-05_final.stac-item
2023-03-05 11:12:00	ga_s2am_ard_3-2-1_52KEG_2023-03-05_final.stac-item
2023-03-05 11:14:06	ga_s2am_ard_3-2-1_51KZP_2023-03-05_final.stac-item
2023-03-05 11:14:20	ga_s2am_ard_3-2-1_51JZN_2023-03-05_final.stac-item
2023-03-05 11:14:52	ga_s2am_ard_3-2-1_51JYL_2023-03-05_final.stac-item
2023-03-06 10:42:43	ga_s2am_ard_3-2-1_53KQT_2023-03-06_final.stac-item
2023-03-06 10:43:48	ga_s2am_ard_3-2-1_53KNP_2023-03-06_final.stac-item
2023-03-06 10:44:35	ga_s2am_ard_3-2-1_53JML_2023-03-06_final.stac-item
2023-03-07 10:11:48	ga_s2am_ard_3-2-1_55KBA_2023-03-07_final.stac-item
2023-03-07 10:11:52	ga_s2am_ard_3-2-1_54KYF_2023-03-07_final.stac-item
2023-03-07 10:12:46	ga_s2am_ard_3-2-1_54KZB_2023-03-07_final.stac-item
2023-03-07 10:13:01	ga_s2am_ard_3-2-1_54KWB_2023-03-07_final.stac-item
2023-03-07 10:13:23	ga_s2am_ard_3-2-1_54KXV_2023-03-07_final.stac-item
2023-03-07 10:17:34	ga_s2am_ard_3-2-1_54HVC_2023-03-07_final.stac-item
2023-03-07 11:54:36	ga_s2am_ard_3-2-1_50JMT_2023-03-07_final.stac-item
2023-03-07 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2023-03-07_final.stac-item
2023-03-07 11:56:07	ga_s2am_ard_3-2-1_50JLM_2023-03-07_final.stac-item
2023-03-07 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-03-07_final.stac-item
2023-03-08 09:41:19	ga_s2am_ard_3-2-1_56KMG_2023-03-08_final.stac-item
2023-03-08 09:48:44	ga_s2am_ard_3-2-1_55GCN_2023-03-08_final.stac-item
2023-03-08 11:21:20	ga_s2am_ard_3-2-1_52LBK_2023-03-08_final.stac-item
2023-03-08 11:22:07	ga_s2am_ard_3-2-1_51KYB_2023-03-08_final.stac-item
2023-03-08 11:23:35	ga_s2am_ard_3-2-1_51KYR_2023-03-08_final.stac-item
2023-03-08 11:25:20	ga_s2am_ard_3-2-1_51JXJ_2023-03-08_final.stac-item
2023-03-08 11:26:50	ga_s2am_ard_3-2-1_51HWC_2023-03-08_final.stac-item
2023-03-09 10:50:51	ga_s2am_ard_3-2-1_53LMF_2023-03-09_final.stac-item
2023-03-09 10:52:29	ga_s2am_ard_3-2-1_53KNU_2023-03-09_final.stac-item
2023-03-09 10:53:31	ga_s2am_ard_3-2-1_53KMQ_2023-03-09_final.stac-item
2023-03-09 10:53:52	ga_s2am_ard_3-2-1_53KKP_2023-03-09_final.stac-item
2023-03-09 10:54:10	ga_s2am_ard_3-2-1_53JLN_2023-03-09_final.stac-item
2023-03-09 10:56:05	ga_s2am_ard_3-2-1_52HGK_2023-03-09_final.stac-item
2023-03-10 10:20:26	ga_s2am_ard_3-2-1_54LWM_2023-03-10_final.stac-item
2023-03-10 10:21:06	ga_s2am_ard_3-2-1_54LXJ_2023-03-10_final.stac-item
2023-03-10 10:21:28	ga_s2am_ard_3-2-1_54LVH_2023-03-10_final.stac-item
2023-03-10 10:23:06	ga_s2am_ard_3-2-1_54KWA_2023-03-10_final.stac-item
2023-03-10 10:24:51	ga_s2am_ard_3-2-1_54JVP_2023-03-10_final.stac-item
2023-03-10 12:04:43	ga_s2am_ard_3-2-1_50JMS_2023-03-10_final.stac-item
2023-03-10 12:04:52	ga_s2am_ard_3-2-1_50JKS_2023-03-10_final.stac-item
2023-03-10 12:05:03	ga_s2am_ard_3-2-1_50JLR_2023-03-10_final.stac-item
2023-03-10 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2023-03-10_final.stac-item
2023-03-11 09:53:15	ga_s2am_ard_3-2-1_55KGP_2023-03-11_final.stac-item
2023-03-11 09:53:20	ga_s2am_ard_3-2-1_55KDQ_2023-03-11_final.stac-item
2023-03-11 09:56:53	ga_s2am_ard_3-2-1_54HXF_2023-03-11_final.stac-item
2023-03-11 11:31:13	ga_s2am_ard_3-2-1_52LBK_2023-03-11_final.stac-item
2023-03-11 11:31:52	ga_s2am_ard_3-2-1_51LXC_2023-03-11_final.stac-item
2023-03-11 11:32:42	ga_s2am_ard_3-2-1_51KVV_2023-03-11_final.stac-item
2023-03-11 11:34:20	ga_s2am_ard_3-2-1_51JWN_2023-03-11_final.stac-item
2023-03-11 11:35:26	ga_s2am_ard_3-2-1_51JUJ_2023-03-11_final.stac-item
2023-03-11 11:35:55	ga_s2am_ard_3-2-1_51JUG_2023-03-11_final.stac-item
2023-03-11 11:36:27	ga_s2am_ard_3-2-1_51HTE_2023-03-11_final.stac-item
2023-03-11 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-03-11_final.stac-item
2023-03-12 09:25:25	ga_s2am_ard_3-2-1_56JLL_2023-03-11_final.stac-item
2023-03-12 09:25:53	ga_s2am_ard_3-2-1_56HLJ_2023-03-11_final.stac-item
2023-03-22 09:24:48	ga_s2am_ard_3-2-1_56JPN_2023-03-21_nrt.stac-item
2023-03-22 09:25:45	ga_s2am_ard_3-2-1_56HPJ_2023-03-21_nrt.stac-item
2023-03-22 09:26:07	ga_s2am_ard_3-2-1_56HMH_2023-03-21_nrt.stac-item
2023-03-22 09:27:05	ga_s2am_ard_3-2-1_56HMD_2023-03-21_nrt.stac-item
2023-03-22 09:27:56	ga_s2am_ard_3-2-1_55GGR_2023-03-21_nrt.stac-item
2023-03-22 09:28:39	ga_s2am_ard_3-2-1_55GGN_2023-03-21_nrt.stac-item
2023-03-22 11:00:06	ga_s2am_ard_3-2-1_53LMJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:27	ga_s2am_ard_3-2-1_52HEJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:30	ga_s2am_ard_3-2-1_52HDJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:31	ga_s2am_ard_3-2-1_52HCJ_2023-03-22_nrt.stac-item
2023-03-22 11:06:35	ga_s2am_ard_3-2-1_52HEH_2023-03-22_nrt.stac-item
2023-03-22 11:06:36	ga_s2am_ard_3-2-1_52HDH_2023-03-22_nrt.stac-item
2023-03-23 10:29:59	ga_s2am_ard_3-2-1_54LVP_2023-03-23_nrt.stac-item
2023-03-23 10:30:02	ga_s2am_ard_3-2-1_54LUP_2023-03-23_nrt.stac-item
2023-03-23 10:30:46	ga_s2am_ard_3-2-1_54LUL_2023-03-23_nrt.stac-item
2023-03-23 10:30:49	ga_s2am_ard_3-2-1_54LTL_2023-03-23_nrt.stac-item
2023-03-23 10:31:01	ga_s2am_ard_3-2-1_54LUK_2023-03-23_nrt.stac-item
2023-03-23 10:31:13	ga_s2am_ard_3-2-1_54LTJ_2023-03-23_nrt.stac-item
2023-03-23 10:31:20	ga_s2am_ard_3-2-1_54LTJ_2023-03-23_nrt.stac-item
2023-03-23 10:31:21	ga_s2am_ard_3-2-1_53LRD_2023-03-23_nrt.stac-item
2023-03-23 10:36:41	ga_s2am_ard_3-2-1_53HLC_2023-03-23_nrt.stac-item
2023-03-23 10:37:02	ga_s2am_ard_3-2-1_53HNA_2023-03-23_nrt.stac-item
2023-03-23 10:37:04	ga_s2am_ard_3-2-1_53HMA_2023-03-23_nrt.stac-item
2023-03-23 10:37:05	ga_s2am_ard_3-2-1_53HLA_2023-03-23_nrt.stac-item
2023-03-23 10:37:08	ga_s2am_ard_3-2-1_53HNV_2023-03-23_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