Search ga_s2am_ard_3 on 18th November 2022

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
2022-11-18 09:41:25	ga_s2am_ard_3-2-1_56KMG_2022-11-18_final
2022-11-18 09:41:28	ga_s2am_ard_3-2-1_56KLG_2022-11-18_final
2022-11-18 09:41:31	ga_s2am_ard_3-2-1_56KKG_2022-11-18_final
2022-11-18 09:41:34	ga_s2am_ard_3-2-1_55KHB_2022-11-18_final
2022-11-18 09:41:40	ga_s2am_ard_3-2-1_56KMF_2022-11-18_final
2022-11-18 09:41:43	ga_s2am_ard_3-2-1_56KLF_2022-11-18_final
2022-11-18 09:41:46	ga_s2am_ard_3-2-1_56KKF_2022-11-18_final
2022-11-18 09:41:54	ga_s2am_ard_3-2-1_56KME_2022-11-18_final
2022-11-18 09:41:58	ga_s2am_ard_3-2-1_56KLE_2022-11-18_final
2022-11-18 09:42:09	ga_s2am_ard_3-2-1_56KMD_2022-11-18_final
2022-11-18 09:42:12	ga_s2am_ard_3-2-1_56KLD_2022-11-18_final
2022-11-18 09:42:35	ga_s2am_ard_3-2-1_55KGT_2022-11-18_final
2022-11-18 09:42:38	ga_s2am_ard_3-2-1_56KMB_2022-11-18_final
2022-11-18 09:42:41	ga_s2am_ard_3-2-1_56KLB_2022-11-18_final
2022-11-18 09:42:45	ga_s2am_ard_3-2-1_56KKB_2022-11-18_final
2022-11-18 09:42:45	ga_s2am_ard_3-2-1_55KHS_2022-11-18_final
2022-11-18 09:42:48	ga_s2am_ard_3-2-1_55KGS_2022-11-18_final
2022-11-18 09:42:51	ga_s2am_ard_3-2-1_56KMA_2022-11-18_final
2022-11-18 09:42:56	ga_s2am_ard_3-2-1_56KLA_2022-11-18_final
2022-11-18 09:42:59	ga_s2am_ard_3-2-1_56KKA_2022-11-18_final
2022-11-18 09:42:59	ga_s2am_ard_3-2-1_55KHR_2022-11-18_final
2022-11-18 09:43:03	ga_s2am_ard_3-2-1_55KGR_2022-11-18_final
2022-11-18 09:43:10	ga_s2am_ard_3-2-1_56KLV_2022-11-18_final
2022-11-18 09:43:14	ga_s2am_ard_3-2-1_56KKV_2022-11-18_final
2022-11-18 09:43:14	ga_s2am_ard_3-2-1_55KHQ_2022-11-18_final
2022-11-18 09:43:17	ga_s2am_ard_3-2-1_55KGQ_2022-11-18_final
2022-11-18 09:43:25	ga_s2am_ard_3-2-1_56KLU_2022-11-18_final
2022-11-18 09:43:28	ga_s2am_ard_3-2-1_56KKU_2022-11-18_final
2022-11-18 09:43:28	ga_s2am_ard_3-2-1_55KHP_2022-11-18_final
2022-11-18 09:43:32	ga_s2am_ard_3-2-1_55KGP_2022-11-18_final
2022-11-18 09:43:36	ga_s2am_ard_3-2-1_55KFP_2022-11-18_final
2022-11-18 09:43:39	ga_s2am_ard_3-2-1_56JLT_2022-11-18_final
2022-11-18 09:43:43	ga_s2am_ard_3-2-1_55JHN_2022-11-18_final
2022-11-18 09:43:43	ga_s2am_ard_3-2-1_56JKT_2022-11-18_final
2022-11-18 09:43:46	ga_s2am_ard_3-2-1_55JGN_2022-11-18_final
2022-11-18 09:43:49	ga_s2am_ard_3-2-1_55JFN_2022-11-18_final
2022-11-18 09:43:54	ga_s2am_ard_3-2-1_56JLS_2022-11-18_final
2022-11-18 09:43:57	ga_s2am_ard_3-2-1_55JHM_2022-11-18_final
2022-11-18 09:43:57	ga_s2am_ard_3-2-1_56JKS_2022-11-18_final
2022-11-18 09:44:01	ga_s2am_ard_3-2-1_55JGM_2022-11-18_final
2022-11-18 09:44:04	ga_s2am_ard_3-2-1_55JFM_2022-11-18_final
2022-11-18 09:44:07	ga_s2am_ard_3-2-1_56JLR_2022-11-18_final
2022-11-18 09:44:12	ga_s2am_ard_3-2-1_56JKR_2022-11-18_final
2022-11-18 09:44:15	ga_s2am_ard_3-2-1_55JGL_2022-11-18_final
2022-11-18 09:44:18	ga_s2am_ard_3-2-1_56JLQ_2022-11-18_final
2022-11-18 09:44:19	ga_s2am_ard_3-2-1_55JFL_2022-11-18_final
2022-11-18 09:44:26	ga_s2am_ard_3-2-1_56JKQ_2022-11-18_final
2022-11-18 09:44:27	ga_s2am_ard_3-2-1_55JEL_2022-11-18_final
2022-11-18 09:44:30	ga_s2am_ard_3-2-1_55JGK_2022-11-18_final
2022-11-18 09:44:33	ga_s2am_ard_3-2-1_55JFK_2022-11-18_final
2022-11-18 09:44:37	ga_s2am_ard_3-2-1_55JEK_2022-11-18_final
2022-11-18 09:44:41	ga_s2am_ard_3-2-1_56JKP_2022-11-18_final
2022-11-18 09:44:44	ga_s2am_ard_3-2-1_55JGJ_2022-11-18_final
2022-11-18 09:44:48	ga_s2am_ard_3-2-1_55JFJ_2022-11-18_final
2022-11-18 09:44:51	ga_s2am_ard_3-2-1_55JEJ_2022-11-18_final
2022-11-18 09:44:56	ga_s2am_ard_3-2-1_56JKN_2022-11-18_final
2022-11-18 09:44:59	ga_s2am_ard_3-2-1_55JGH_2022-11-18_final
2022-11-18 09:45:02	ga_s2am_ard_3-2-1_55JFH_2022-11-18_final
2022-11-18 09:45:06	ga_s2am_ard_3-2-1_55JEH_2022-11-18_final
2022-11-18 09:45:10	ga_s2am_ard_3-2-1_56JKM_2022-11-18_final
2022-11-18 09:45:13	ga_s2am_ard_3-2-1_55JGG_2022-11-18_final
2022-11-18 09:47:42	ga_s2am_ard_3-2-1_55HBT_2022-11-18_final
2022-11-18 09:47:45	ga_s2am_ard_3-2-1_55HES_2022-11-18_final
2022-11-18 09:47:46	ga_s2am_ard_3-2-1_54HYC_2022-11-18_final
2022-11-18 09:47:49	ga_s2am_ard_3-2-1_55HDS_2022-11-18_final
2022-11-18 09:47:52	ga_s2am_ard_3-2-1_55HCS_2022-11-18_final
2022-11-18 09:47:55	ga_s2am_ard_3-2-1_55HBS_2022-11-18_final
2022-11-18 09:47:57	ga_s2am_ard_3-2-1_54HYB_2022-11-18_final
2022-11-18 09:48:00	ga_s2am_ard_3-2-1_55GER_2022-11-18_final
2022-11-18 09:48:03	ga_s2am_ard_3-2-1_55GDR_2022-11-18_final
2022-11-18 09:48:07	ga_s2am_ard_3-2-1_55GCR_2022-11-18_final
2022-11-18 09:48:10	ga_s2am_ard_3-2-1_55GBR_2022-11-18_final
2022-11-18 09:48:10	ga_s2am_ard_3-2-1_54GYA_2022-11-18_final
2022-11-18 09:48:13	ga_s2am_ard_3-2-1_55GEQ_2022-11-18_final
2022-11-18 09:48:18	ga_s2am_ard_3-2-1_55GDQ_2022-11-18_final
2022-11-18 09:48:21	ga_s2am_ard_3-2-1_55GCQ_2022-11-18_final
2022-11-18 09:48:24	ga_s2am_ard_3-2-1_55GEP_2022-11-18_final
2022-11-18 09:48:32	ga_s2am_ard_3-2-1_55GDP_2022-11-18_final
2022-11-18 09:48:36	ga_s2am_ard_3-2-1_55GCP_2022-11-18_final
2022-11-18 09:48:47	ga_s2am_ard_3-2-1_55GDN_2022-11-18_final
2022-11-18 09:48:50	ga_s2am_ard_3-2-1_55GCN_2022-11-18_final
2022-11-18 11:21:26	ga_s2am_ard_3-2-1_52LBK_2022-11-18_final
2022-11-18 11:21:27	ga_s2am_ard_3-2-1_51LZE_2022-11-18_final
2022-11-18 11:21:34	ga_s2am_ard_3-2-1_52LDJ_2022-11-18_final
2022-11-18 11:21:37	ga_s2am_ard_3-2-1_52LCJ_2022-11-18_final
2022-11-18 11:21:40	ga_s2am_ard_3-2-1_52LBJ_2022-11-18_final
2022-11-18 11:21:42	ga_s2am_ard_3-2-1_51LZD_2022-11-18_final
2022-11-18 11:21:48	ga_s2am_ard_3-2-1_52LDH_2022-11-18_final
2022-11-18 11:21:52	ga_s2am_ard_3-2-1_52LCH_2022-11-18_final
2022-11-18 11:21:55	ga_s2am_ard_3-2-1_52LBH_2022-11-18_final
2022-11-18 11:21:56	ga_s2am_ard_3-2-1_51LZC_2022-11-18_final
2022-11-18 11:22:00	ga_s2am_ard_3-2-1_51LYC_2022-11-18_final
2022-11-18 11:22:02	ga_s2am_ard_3-2-1_52KDG_2022-11-18_final
2022-11-18 11:22:06	ga_s2am_ard_3-2-1_52KCG_2022-11-18_final
2022-11-18 11:22:10	ga_s2am_ard_3-2-1_51KZB_2022-11-18_final
2022-11-18 11:22:14	ga_s2am_ard_3-2-1_51KYB_2022-11-18_final
2022-11-18 11:22:14	ga_s2am_ard_3-2-1_52KDF_2022-11-18_final
2022-11-18 11:22:20	ga_s2am_ard_3-2-1_52KCF_2022-11-18_final
2022-11-18 11:22:24	ga_s2am_ard_3-2-1_52KBF_2022-11-18_final
2022-11-18 11:22:25	ga_s2am_ard_3-2-1_51KZA_2022-11-18_final

Return to ga_s2am_ard_3 on 18th November 2022 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

2022

November

18th