Search ga_s2am_ard_3 on 11th May 2023

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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2023-05-11 09:27:48	ga_s2am_ard_3-2-1_55HFS_2023-05-10_final
2023-05-11 11:00:36	ga_s2am_ard_3-2-1_52LGN_2023-05-11_final
2023-05-11 11:00:42	ga_s2am_ard_3-2-1_53LKG_2023-05-11_final
2023-05-11 11:00:47	ga_s2am_ard_3-2-1_52LGM_2023-05-11_final
2023-05-11 11:00:50	ga_s2am_ard_3-2-1_53LKG_2023-05-11_final
2023-05-11 11:00:51	ga_s2am_ard_3-2-1_53LKF_2023-05-11_final
2023-05-11 11:00:52	ga_s2am_ard_3-2-1_52LGL_2023-05-11_final
2023-05-11 11:00:52	ga_s2am_ard_3-2-1_52LGM_2023-05-11_final
2023-05-11 11:00:57	ga_s2am_ard_3-2-1_53LKF_2023-05-11_final
2023-05-11 11:01:01	ga_s2am_ard_3-2-1_52LGL_2023-05-11_final
2023-05-11 11:01:12	ga_s2am_ard_3-2-1_53LKE_2023-05-11_final
2023-05-11 11:01:26	ga_s2am_ard_3-2-1_53LKD_2023-05-11_final
2023-05-11 11:01:27	ga_s2am_ard_3-2-1_52LHJ_2023-05-11_final
2023-05-11 11:01:37	ga_s2am_ard_3-2-1_53LLC_2023-05-11_final
2023-05-11 11:01:38	ga_s2am_ard_3-2-1_52LFJ_2023-05-11_final
2023-05-11 11:01:41	ga_s2am_ard_3-2-1_53LKC_2023-05-11_final
2023-05-11 11:01:42	ga_s2am_ard_3-2-1_52LHH_2023-05-11_final
2023-05-11 11:01:45	ga_s2am_ard_3-2-1_52LGH_2023-05-11_final
2023-05-11 11:01:49	ga_s2am_ard_3-2-1_52LFH_2023-05-11_final
2023-05-11 11:01:51	ga_s2am_ard_3-2-1_53KLB_2023-05-11_final
2023-05-11 11:01:55	ga_s2am_ard_3-2-1_53KKB_2023-05-11_final
2023-05-11 11:01:56	ga_s2am_ard_3-2-1_52KHG_2023-05-11_final
2023-05-11 11:02:00	ga_s2am_ard_3-2-1_52KGG_2023-05-11_final
2023-05-11 11:02:02	ga_s2am_ard_3-2-1_53KLA_2023-05-11_final
2023-05-11 11:02:03	ga_s2am_ard_3-2-1_52KFG_2023-05-11_final
2023-05-11 11:02:09	ga_s2am_ard_3-2-1_53KKA_2023-05-11_final
2023-05-11 11:02:11	ga_s2am_ard_3-2-1_52KHF_2023-05-11_final
2023-05-11 11:02:14	ga_s2am_ard_3-2-1_52KGF_2023-05-11_final
2023-05-11 11:02:18	ga_s2am_ard_3-2-1_52KFF_2023-05-11_final
2023-05-11 11:02:24	ga_s2am_ard_3-2-1_53KKV_2023-05-11_final
2023-05-11 11:02:25	ga_s2am_ard_3-2-1_52KHE_2023-05-11_final
2023-05-11 11:02:29	ga_s2am_ard_3-2-1_52KGE_2023-05-11_final
2023-05-11 11:02:32	ga_s2am_ard_3-2-1_52KFE_2023-05-11_final
2023-05-11 11:02:39	ga_s2am_ard_3-2-1_53KKU_2023-05-11_final
2023-05-11 11:02:39	ga_s2am_ard_3-2-1_52KHD_2023-05-11_final
2023-05-11 11:02:43	ga_s2am_ard_3-2-1_52KGD_2023-05-11_final
2023-05-11 11:02:47	ga_s2am_ard_3-2-1_52KFD_2023-05-11_final
2023-05-11 11:02:51	ga_s2am_ard_3-2-1_52KED_2023-05-11_final
2023-05-11 11:02:53	ga_s2am_ard_3-2-1_53KKT_2023-05-11_final
2023-05-11 11:02:54	ga_s2am_ard_3-2-1_52KHC_2023-05-11_final
2023-05-11 11:02:58	ga_s2am_ard_3-2-1_52KGC_2023-05-11_final
2023-05-11 11:03:01	ga_s2am_ard_3-2-1_52KFC_2023-05-11_final
2023-05-11 11:03:04	ga_s2am_ard_3-2-1_52KEC_2023-05-11_final
2023-05-11 11:03:07	ga_s2am_ard_3-2-1_53KKS_2023-05-11_final
2023-05-11 11:03:08	ga_s2am_ard_3-2-1_52KHB_2023-05-11_final
2023-05-11 11:03:12	ga_s2am_ard_3-2-1_52KGB_2023-05-11_final
2023-05-11 11:03:16	ga_s2am_ard_3-2-1_52KFB_2023-05-11_final
2023-05-11 11:03:18	ga_s2am_ard_3-2-1_53KKR_2023-05-11_final
2023-05-11 11:03:19	ga_s2am_ard_3-2-1_52KEB_2023-05-11_final
2023-05-11 11:03:22	ga_s2am_ard_3-2-1_52KHA_2023-05-11_final
2023-05-11 11:03:26	ga_s2am_ard_3-2-1_52KGA_2023-05-11_final
2023-05-11 11:03:30	ga_s2am_ard_3-2-1_52KFA_2023-05-11_final
2023-05-11 11:03:32	ga_s2am_ard_3-2-1_52KHV_2023-05-11_final
2023-05-11 11:03:34	ga_s2am_ard_3-2-1_52KEA_2023-05-11_final
2023-05-11 11:03:41	ga_s2am_ard_3-2-1_52KGV_2023-05-11_final
2023-05-11 11:03:45	ga_s2am_ard_3-2-1_52KFV_2023-05-11_final
2023-05-11 11:03:48	ga_s2am_ard_3-2-1_52KEV_2023-05-11_final
2023-05-11 11:03:53	ga_s2am_ard_3-2-1_52KDV_2023-05-11_final
2023-05-11 11:03:55	ga_s2am_ard_3-2-1_52KGU_2023-05-11_final
2023-05-11 11:03:59	ga_s2am_ard_3-2-1_52KFU_2023-05-11_final
2023-05-11 11:04:02	ga_s2am_ard_3-2-1_52KEU_2023-05-11_final
2023-05-11 11:04:06	ga_s2am_ard_3-2-1_52KDU_2023-05-11_final
2023-05-11 11:04:10	ga_s2am_ard_3-2-1_52JGT_2023-05-11_final
2023-05-11 11:04:14	ga_s2am_ard_3-2-1_52JFT_2023-05-11_final
2023-05-11 11:04:17	ga_s2am_ard_3-2-1_52JET_2023-05-11_final
2023-05-11 11:04:20	ga_s2am_ard_3-2-1_52JDT_2023-05-11_final
2023-05-11 11:04:23	ga_s2am_ard_3-2-1_52JGS_2023-05-11_final
2023-05-11 11:04:28	ga_s2am_ard_3-2-1_52JFS_2023-05-11_final
2023-05-11 11:04:32	ga_s2am_ard_3-2-1_52JES_2023-05-11_final
2023-05-11 11:04:35	ga_s2am_ard_3-2-1_52JGR_2023-05-11_final
2023-05-11 11:04:35	ga_s2am_ard_3-2-1_52JDS_2023-05-11_final
2023-05-11 11:04:42	ga_s2am_ard_3-2-1_52JFR_2023-05-11_final
2023-05-11 11:04:46	ga_s2am_ard_3-2-1_52JER_2023-05-11_final
2023-05-11 11:04:50	ga_s2am_ard_3-2-1_52JDR_2023-05-11_final
2023-05-11 11:04:55	ga_s2am_ard_3-2-1_52JCR_2023-05-11_final
2023-05-11 11:04:57	ga_s2am_ard_3-2-1_52JFQ_2023-05-11_final
2023-05-11 11:05:01	ga_s2am_ard_3-2-1_52JEQ_2023-05-11_final
2023-05-11 11:05:04	ga_s2am_ard_3-2-1_52JDQ_2023-05-11_final
2023-05-11 11:05:07	ga_s2am_ard_3-2-1_52JCQ_2023-05-11_final
2023-05-11 11:05:12	ga_s2am_ard_3-2-1_52JFP_2023-05-11_final
2023-05-11 11:05:15	ga_s2am_ard_3-2-1_52JEP_2023-05-11_final
2023-05-11 11:05:19	ga_s2am_ard_3-2-1_52JDP_2023-05-11_final
2023-05-11 11:05:22	ga_s2am_ard_3-2-1_52JCP_2023-05-11_final
2023-05-11 11:05:25	ga_s2am_ard_3-2-1_52JFN_2023-05-11_final
2023-05-11 11:05:30	ga_s2am_ard_3-2-1_52JEN_2023-05-11_final
2023-05-11 11:05:33	ga_s2am_ard_3-2-1_52JDN_2023-05-11_final
2023-05-11 11:05:36	ga_s2am_ard_3-2-1_52JCN_2023-05-11_final
2023-05-11 11:05:37	ga_s2am_ard_3-2-1_52JFM_2023-05-11_final
2023-05-11 11:05:44	ga_s2am_ard_3-2-1_52JEM_2023-05-11_final
2023-05-11 11:05:48	ga_s2am_ard_3-2-1_52JDM_2023-05-11_final
2023-05-11 11:05:51	ga_s2am_ard_3-2-1_52JCM_2023-05-11_final
2023-05-11 11:05:57	ga_s2am_ard_3-2-1_52JBM_2023-05-11_final
2023-05-11 11:05:58	ga_s2am_ard_3-2-1_52JEL_2023-05-11_final
2023-05-11 11:06:02	ga_s2am_ard_3-2-1_52JDL_2023-05-11_final
2023-05-11 11:06:05	ga_s2am_ard_3-2-1_52JCL_2023-05-11_final
2023-05-11 11:06:09	ga_s2am_ard_3-2-1_52JBL_2023-05-11_final
2023-05-11 11:06:13	ga_s2am_ard_3-2-1_52HEK_2023-05-11_final
2023-05-11 11:06:17	ga_s2am_ard_3-2-1_52HDK_2023-05-11_final
2023-05-11 11:06:20	ga_s2am_ard_3-2-1_52HCK_2023-05-11_final
2023-05-11 11:06:23	ga_s2am_ard_3-2-1_52HBK_2023-05-11_final

Return to ga_s2am_ard_3 on 11th May 2023 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2023

May

11th