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 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
2019-07-07 11:24:31	ga_s2am_ard_3-2-1_51JXN_2019-07-07_final
2019-07-07 11:24:34	ga_s2am_ard_3-2-1_51JWN_2019-07-07_final
2019-07-07 11:24:37	ga_s2am_ard_3-2-1_51JZM_2019-07-07_final
2019-07-07 11:24:37	ga_s2am_ard_3-2-1_52JBS_2019-07-07_final
2019-07-07 11:24:42	ga_s2am_ard_3-2-1_51JYM_2019-07-07_final
2019-07-07 11:24:46	ga_s2am_ard_3-2-1_51JXM_2019-07-07_final
2019-07-07 11:24:48	ga_s2am_ard_3-2-1_52JBR_2019-07-07_final
2019-07-07 11:24:49	ga_s2am_ard_3-2-1_51JWM_2019-07-07_final
2019-07-07 11:24:56	ga_s2am_ard_3-2-1_51JYL_2019-07-07_final
2019-07-07 11:25:00	ga_s2am_ard_3-2-1_51JXL_2019-07-07_final
2019-07-07 11:25:04	ga_s2am_ard_3-2-1_51JWL_2019-07-07_final
2019-07-07 11:25:08	ga_s2am_ard_3-2-1_51JVL_2019-07-07_final
2019-07-07 11:25:11	ga_s2am_ard_3-2-1_51JYK_2019-07-07_final
2019-07-07 11:25:15	ga_s2am_ard_3-2-1_51JXK_2019-07-07_final
2019-07-07 11:25:18	ga_s2am_ard_3-2-1_51JWK_2019-07-07_final
2019-07-07 11:25:21	ga_s2am_ard_3-2-1_51JVK_2019-07-07_final
2019-07-07 11:25:25	ga_s2am_ard_3-2-1_51JYJ_2019-07-07_final
2019-07-07 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2019-07-07_final
2019-07-07 11:25:33	ga_s2am_ard_3-2-1_51JWJ_2019-07-07_final
2019-07-07 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2019-07-07_final
2019-07-07 11:25:39	ga_s2am_ard_3-2-1_51JYH_2019-07-07_final
2019-07-07 11:25:43	ga_s2am_ard_3-2-1_51JXH_2019-07-07_final
2019-07-07 11:25:47	ga_s2am_ard_3-2-1_51JWH_2019-07-07_final
2019-07-07 11:25:50	ga_s2am_ard_3-2-1_51JYG_2019-07-07_final
2019-07-07 11:25:51	ga_s2am_ard_3-2-1_51JVH_2019-07-07_final
2019-07-07 11:25:58	ga_s2am_ard_3-2-1_51JXG_2019-07-07_final
2019-07-07 11:26:02	ga_s2am_ard_3-2-1_51JWG_2019-07-07_final
2019-07-07 11:26:05	ga_s2am_ard_3-2-1_51JVG_2019-07-07_final
2019-07-07 11:26:10	ga_s2am_ard_3-2-1_51JUG_2019-07-07_final
2019-07-07 11:26:12	ga_s2am_ard_3-2-1_51JXF_2019-07-07_final
2019-07-07 11:26:16	ga_s2am_ard_3-2-1_51JWF_2019-07-07_final
2019-07-07 11:26:20	ga_s2am_ard_3-2-1_51JVF_2019-07-07_final
2019-07-07 11:26:23	ga_s2am_ard_3-2-1_51JUF_2019-07-07_final
2019-07-07 11:26:27	ga_s2am_ard_3-2-1_51HXE_2019-07-07_final
2019-07-07 11:26:31	ga_s2am_ard_3-2-1_51HWE_2019-07-07_final
2019-07-07 11:26:34	ga_s2am_ard_3-2-1_51HVE_2019-07-07_final
2019-07-07 11:26:37	ga_s2am_ard_3-2-1_51HUE_2019-07-07_final
2019-07-07 11:26:41	ga_s2am_ard_3-2-1_51HXD_2019-07-07_final
2019-07-07 11:26:45	ga_s2am_ard_3-2-1_51HWD_2019-07-07_final
2019-07-07 11:26:49	ga_s2am_ard_3-2-1_51HVD_2019-07-07_final
2019-07-07 11:26:52	ga_s2am_ard_3-2-1_51HUD_2019-07-07_final
2019-07-07 11:26:53	ga_s2am_ard_3-2-1_51HXC_2019-07-07_final
2019-07-07 11:26:59	ga_s2am_ard_3-2-1_51HWC_2019-07-07_final
2019-07-07 11:27:03	ga_s2am_ard_3-2-1_51HVC_2019-07-07_final
2019-07-07 11:27:07	ga_s2am_ard_3-2-1_51HUC_2019-07-07_final
2019-07-07 11:27:12	ga_s2am_ard_3-2-1_51HTC_2019-07-07_final
2019-07-07 11:27:13	ga_s2am_ard_3-2-1_51HWB_2019-07-07_final
2019-07-07 11:27:15	ga_s2am_ard_3-2-1_51HVB_2019-07-07_final
2019-07-07 11:27:17	ga_s2am_ard_3-2-1_51HUB_2019-07-07_final
2019-07-07 11:27:19	ga_s2am_ard_3-2-1_51HTB_2019-07-07_final
2019-07-08 10:50:25	ga_s2am_ard_3-2-1_53LPH_2019-07-08_final
2019-07-08 10:50:29	ga_s2am_ard_3-2-1_53LNH_2019-07-08_final
2019-07-08 10:50:32	ga_s2am_ard_3-2-1_53LMH_2019-07-08_final
2019-07-08 10:50:33	ga_s2am_ard_3-2-1_53LQG_2019-07-08_final
2019-07-08 10:50:40	ga_s2am_ard_3-2-1_53LPG_2019-07-08_final
2019-07-08 10:50:43	ga_s2am_ard_3-2-1_53LNG_2019-07-08_final
2019-07-08 10:50:47	ga_s2am_ard_3-2-1_53LMG_2019-07-08_final
2019-07-08 10:50:53	ga_s2am_ard_3-2-1_53LLG_2019-07-08_final
2019-07-08 10:50:54	ga_s2am_ard_3-2-1_53LPF_2019-07-08_final
2019-07-08 10:50:58	ga_s2am_ard_3-2-1_53LNF_2019-07-08_final
2019-07-08 10:51:01	ga_s2am_ard_3-2-1_53LMF_2019-07-08_final
2019-07-08 10:51:05	ga_s2am_ard_3-2-1_53LLF_2019-07-08_final
2019-07-08 10:51:09	ga_s2am_ard_3-2-1_53LPE_2019-07-08_final
2019-07-08 10:51:12	ga_s2am_ard_3-2-1_53LNE_2019-07-08_final
2019-07-08 10:51:16	ga_s2am_ard_3-2-1_53LME_2019-07-08_final
2019-07-08 10:51:18	ga_s2am_ard_3-2-1_53LLE_2019-07-08_final
2019-07-08 10:51:23	ga_s2am_ard_3-2-1_53LPD_2019-07-08_final
2019-07-08 10:51:27	ga_s2am_ard_3-2-1_53LND_2019-07-08_final
2019-07-08 10:51:30	ga_s2am_ard_3-2-1_53LMD_2019-07-08_final
2019-07-08 10:51:33	ga_s2am_ard_3-2-1_53LLD_2019-07-08_final
2019-07-08 10:51:36	ga_s2am_ard_3-2-1_53LPC_2019-07-08_final
2019-07-08 10:51:41	ga_s2am_ard_3-2-1_53LNC_2019-07-08_final
2019-07-08 10:51:45	ga_s2am_ard_3-2-1_53LMC_2019-07-08_final
2019-07-08 10:51:46	ga_s2am_ard_3-2-1_53KPB_2019-07-08_final
2019-07-08 10:51:48	ga_s2am_ard_3-2-1_53LLC_2019-07-08_final
2019-07-08 10:51:56	ga_s2am_ard_3-2-1_53KNB_2019-07-08_final
2019-07-08 10:51:59	ga_s2am_ard_3-2-1_53KMB_2019-07-08_final
2019-07-08 10:52:03	ga_s2am_ard_3-2-1_53KLB_2019-07-08_final
2019-07-08 10:52:07	ga_s2am_ard_3-2-1_53KKB_2019-07-08_final
2019-07-08 10:52:08	ga_s2am_ard_3-2-1_53KNA_2019-07-08_final
2019-07-08 10:52:10	ga_s2am_ard_3-2-1_53KMA_2019-07-08_final
2019-07-08 10:52:12	ga_s2am_ard_3-2-1_53KLA_2019-07-08_final
2019-07-08 10:52:13	ga_s2am_ard_3-2-1_53KKA_2019-07-08_final
2019-07-08 10:52:15	ga_s2am_ard_3-2-1_53KNA_2019-07-08_final
2019-07-08 10:52:17	ga_s2am_ard_3-2-1_53KMA_2019-07-08_final
2019-07-08 10:52:18	ga_s2am_ard_3-2-1_53KLA_2019-07-08_final
2019-07-08 10:52:20	ga_s2am_ard_3-2-1_53KKA_2019-07-08_final
2019-07-08 10:52:25	ga_s2am_ard_3-2-1_52KHF_2019-07-08_final
2019-07-08 10:52:25	ga_s2am_ard_3-2-1_53KNV_2019-07-08_final
2019-07-08 10:52:28	ga_s2am_ard_3-2-1_53KMV_2019-07-08_final
2019-07-08 10:52:32	ga_s2am_ard_3-2-1_53KLV_2019-07-08_final
2019-07-08 10:52:35	ga_s2am_ard_3-2-1_53KKV_2019-07-08_final
2019-07-08 10:52:36	ga_s2am_ard_3-2-1_52KHE_2019-07-08_final
2019-07-08 10:52:39	ga_s2am_ard_3-2-1_53KNU_2019-07-08_final
2019-07-08 10:52:43	ga_s2am_ard_3-2-1_53KMU_2019-07-08_final
2019-07-08 10:55:27	ga_s2am_ard_3-2-1_52JEP_2019-07-08_final
2019-07-08 10:55:40	ga_s2am_ard_3-2-1_52JEN_2019-07-08_final
2019-07-08 10:55:54	ga_s2am_ard_3-2-1_52JEM_2019-07-08_final
2019-07-08 10:56:05	ga_s2am_ard_3-2-1_52JFL_2019-07-08_final
2019-07-08 10:56:09	ga_s2am_ard_3-2-1_52JEL_2019-07-08_final

Return to ga_s2am_ard_3 whole collection 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

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