Search ga_s2am_ard_3 on 6th January 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
2023-01-06 10:14:09	ga_s2am_ard_3-2-1_54JXS_2023-01-06_final
2023-01-06 10:14:12	ga_s2am_ard_3-2-1_54JWS_2023-01-06_final
2023-01-06 10:14:16	ga_s2am_ard_3-2-1_54JVS_2023-01-06_final
2023-01-06 10:14:20	ga_s2am_ard_3-2-1_54JYR_2023-01-06_final
2023-01-06 10:14:23	ga_s2am_ard_3-2-1_54JXR_2023-01-06_final
2023-01-06 10:14:27	ga_s2am_ard_3-2-1_54JWR_2023-01-06_final
2023-01-06 10:14:30	ga_s2am_ard_3-2-1_54JVR_2023-01-06_final
2023-01-06 10:14:34	ga_s2am_ard_3-2-1_54JYQ_2023-01-06_final
2023-01-06 10:14:38	ga_s2am_ard_3-2-1_54JXQ_2023-01-06_final
2023-01-06 10:14:39	ga_s2am_ard_3-2-1_54JWQ_2023-01-06_final
2023-01-06 10:14:41	ga_s2am_ard_3-2-1_54JVQ_2023-01-06_final
2023-01-06 10:14:42	ga_s2am_ard_3-2-1_54JYQ_2023-01-06_final
2023-01-06 10:14:43	ga_s2am_ard_3-2-1_54JYP_2023-01-06_final
2023-01-06 10:14:44	ga_s2am_ard_3-2-1_54JXQ_2023-01-06_final
2023-01-06 10:14:44	ga_s2am_ard_3-2-1_54JXP_2023-01-06_final
2023-01-06 10:14:46	ga_s2am_ard_3-2-1_54JWQ_2023-01-06_final
2023-01-06 10:14:47	ga_s2am_ard_3-2-1_54JYP_2023-01-06_final
2023-01-06 10:14:48	ga_s2am_ard_3-2-1_54JVQ_2023-01-06_final
2023-01-06 10:14:52	ga_s2am_ard_3-2-1_54JXP_2023-01-06_final
2023-01-06 10:14:56	ga_s2am_ard_3-2-1_54JWP_2023-01-06_final
2023-01-06 10:14:56	ga_s2am_ard_3-2-1_54JYN_2023-01-06_final
2023-01-06 10:14:59	ga_s2am_ard_3-2-1_54JVP_2023-01-06_final
2023-01-06 10:15:07	ga_s2am_ard_3-2-1_54JUP_2023-01-06_final
2023-01-06 10:15:07	ga_s2am_ard_3-2-1_54JXN_2023-01-06_final
2023-01-06 10:15:11	ga_s2am_ard_3-2-1_54JWN_2023-01-06_final
2023-01-06 10:15:14	ga_s2am_ard_3-2-1_54JVN_2023-01-06_final
2023-01-06 10:15:18	ga_s2am_ard_3-2-1_54JUN_2023-01-06_final
2023-01-06 10:15:21	ga_s2am_ard_3-2-1_54JXM_2023-01-06_final
2023-01-06 10:15:25	ga_s2am_ard_3-2-1_54JWM_2023-01-06_final
2023-01-06 10:15:28	ga_s2am_ard_3-2-1_54JVM_2023-01-06_final
2023-01-06 10:15:31	ga_s2am_ard_3-2-1_54JUM_2023-01-06_final
2023-01-06 10:15:36	ga_s2am_ard_3-2-1_54JXL_2023-01-06_final
2023-01-06 10:15:40	ga_s2am_ard_3-2-1_54JWL_2023-01-06_final
2023-01-06 10:15:43	ga_s2am_ard_3-2-1_54JVL_2023-01-06_final
2023-01-06 10:15:46	ga_s2am_ard_3-2-1_54JUL_2023-01-06_final
2023-01-06 10:15:49	ga_s2am_ard_3-2-1_54HXK_2023-01-06_final
2023-01-06 10:15:54	ga_s2am_ard_3-2-1_54HWK_2023-01-06_final
2023-01-06 10:15:57	ga_s2am_ard_3-2-1_54HVK_2023-01-06_final
2023-01-06 10:15:59	ga_s2am_ard_3-2-1_54HXJ_2023-01-06_final
2023-01-06 10:16:01	ga_s2am_ard_3-2-1_54HUK_2023-01-06_final
2023-01-06 10:16:08	ga_s2am_ard_3-2-1_54HWJ_2023-01-06_final
2023-01-06 10:16:12	ga_s2am_ard_3-2-1_54HVJ_2023-01-06_final
2023-01-06 10:16:15	ga_s2am_ard_3-2-1_54HUJ_2023-01-06_final
2023-01-06 10:16:20	ga_s2am_ard_3-2-1_54HTJ_2023-01-06_final
2023-01-06 10:16:23	ga_s2am_ard_3-2-1_54HWH_2023-01-06_final
2023-01-06 10:16:26	ga_s2am_ard_3-2-1_54HVH_2023-01-06_final
2023-01-06 10:16:30	ga_s2am_ard_3-2-1_54HUH_2023-01-06_final
2023-01-06 10:16:33	ga_s2am_ard_3-2-1_54HTH_2023-01-06_final
2023-01-06 10:16:38	ga_s2am_ard_3-2-1_54HWG_2023-01-06_final
2023-01-06 10:16:41	ga_s2am_ard_3-2-1_54HVG_2023-01-06_final
2023-01-06 10:16:45	ga_s2am_ard_3-2-1_54HUG_2023-01-06_final
2023-01-06 10:16:48	ga_s2am_ard_3-2-1_54HTG_2023-01-06_final
2023-01-06 10:16:51	ga_s2am_ard_3-2-1_53HQB_2023-01-06_final
2023-01-06 10:16:51	ga_s2am_ard_3-2-1_54HWF_2023-01-06_final
2023-01-06 10:16:55	ga_s2am_ard_3-2-1_54HVF_2023-01-06_final
2023-01-06 10:16:59	ga_s2am_ard_3-2-1_54HUF_2023-01-06_final
2023-01-06 10:17:02	ga_s2am_ard_3-2-1_54HWE_2023-01-06_final
2023-01-06 10:17:02	ga_s2am_ard_3-2-1_54HTF_2023-01-06_final
2023-01-06 10:17:03	ga_s2am_ard_3-2-1_53HQA_2023-01-06_final
2023-01-06 10:17:10	ga_s2am_ard_3-2-1_54HVE_2023-01-06_final
2023-01-06 10:17:14	ga_s2am_ard_3-2-1_54HUE_2023-01-06_final
2023-01-06 10:17:17	ga_s2am_ard_3-2-1_54HTE_2023-01-06_final
2023-01-06 10:17:18	ga_s2am_ard_3-2-1_53HQV_2023-01-06_final
2023-01-06 10:17:24	ga_s2am_ard_3-2-1_54HVD_2023-01-06_final
2023-01-06 10:17:28	ga_s2am_ard_3-2-1_54HUD_2023-01-06_final
2023-01-06 10:17:37	ga_s2am_ard_3-2-1_54HVC_2023-01-06_final
2023-01-06 11:51:12	ga_s2am_ard_3-2-1_51LUF_2023-01-06_final
2023-01-06 11:51:26	ga_s2am_ard_3-2-1_51LUE_2023-01-06_final
2023-01-06 11:51:37	ga_s2am_ard_3-2-1_51LUD_2023-01-06_final
2023-01-06 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-01-06_final
2023-01-06 11:52:33	ga_s2am_ard_3-2-1_50KQF_2023-01-06_final
2023-01-06 11:52:36	ga_s2am_ard_3-2-1_50KPF_2023-01-06_final
2023-01-06 11:52:47	ga_s2am_ard_3-2-1_50KQE_2023-01-06_final
2023-01-06 11:52:53	ga_s2am_ard_3-2-1_51KTU_2023-01-06_final
2023-01-06 11:52:58	ga_s2am_ard_3-2-1_50KRD_2023-01-06_final
2023-01-06 11:53:02	ga_s2am_ard_3-2-1_50KQD_2023-01-06_final
2023-01-06 11:53:05	ga_s2am_ard_3-2-1_50KPD_2023-01-06_final
2023-01-06 11:53:09	ga_s2am_ard_3-2-1_50KRC_2023-01-06_final
2023-01-06 11:53:16	ga_s2am_ard_3-2-1_50KQC_2023-01-06_final
2023-01-06 11:53:20	ga_s2am_ard_3-2-1_50KPC_2023-01-06_final
2023-01-06 11:53:23	ga_s2am_ard_3-2-1_50KNC_2023-01-06_final
2023-01-06 11:53:30	ga_s2am_ard_3-2-1_50KMC_2023-01-06_final
2023-01-06 11:53:31	ga_s2am_ard_3-2-1_50KQB_2023-01-06_final
2023-01-06 11:53:34	ga_s2am_ard_3-2-1_50KPB_2023-01-06_final
2023-01-06 11:53:38	ga_s2am_ard_3-2-1_50KNB_2023-01-06_final
2023-01-06 11:53:41	ga_s2am_ard_3-2-1_50KMB_2023-01-06_final
2023-01-06 11:53:45	ga_s2am_ard_3-2-1_50KQA_2023-01-06_final
2023-01-06 11:53:49	ga_s2am_ard_3-2-1_50KPA_2023-01-06_final
2023-01-06 11:53:52	ga_s2am_ard_3-2-1_50KNA_2023-01-06_final
2023-01-06 11:53:55	ga_s2am_ard_3-2-1_50KMA_2023-01-06_final
2023-01-06 11:53:59	ga_s2am_ard_3-2-1_50KQV_2023-01-06_final
2023-01-06 11:54:12	ga_s2am_ard_3-2-1_50KQU_2023-01-06_final
2023-01-06 11:54:32	ga_s2am_ard_3-2-1_50KLU_2023-01-06_final
2023-01-06 11:55:11	ga_s2am_ard_3-2-1_50JLR_2023-01-06_final
2023-01-06 11:55:48	ga_s2am_ard_3-2-1_50JNN_2023-01-06_final
2023-01-06 11:55:58	ga_s2am_ard_3-2-1_50JKN_2023-01-06_final
2023-01-06 11:56:03	ga_s2am_ard_3-2-1_50JNM_2023-01-06_final
2023-01-06 11:56:13	ga_s2am_ard_3-2-1_50JKM_2023-01-06_final
2023-01-06 11:56:17	ga_s2am_ard_3-2-1_50JNL_2023-01-06_final
2023-01-06 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2023-01-06_final

Return to ga_s2am_ard_3 on 6th January 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

January

6th