Search ga_s2am_ard_3 on 15th December 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
2023-12-15 10:19:37	ga_s2am_ard_3-2-1_54LYQ_2023-12-15_final
2023-12-15 10:19:40	ga_s2am_ard_3-2-1_54LXQ_2023-12-15_final
2023-12-15 10:19:48	ga_s2am_ard_3-2-1_54LZP_2023-12-15_final
2023-12-15 10:19:51	ga_s2am_ard_3-2-1_54LYP_2023-12-15_final
2023-12-15 10:20:09	ga_s2am_ard_3-2-1_54LXN_2023-12-15_final
2023-12-15 10:20:14	ga_s2am_ard_3-2-1_54LWN_2023-12-15_final
2023-12-15 10:20:20	ga_s2am_ard_3-2-1_54LYM_2023-12-15_final
2023-12-15 10:20:24	ga_s2am_ard_3-2-1_54LXM_2023-12-15_final
2023-12-15 10:20:27	ga_s2am_ard_3-2-1_54LWM_2023-12-15_final
2023-12-15 10:20:31	ga_s2am_ard_3-2-1_54LZL_2023-12-15_final
2023-12-15 10:20:38	ga_s2am_ard_3-2-1_54LXL_2023-12-15_final
2023-12-15 10:20:49	ga_s2am_ard_3-2-1_54LYK_2023-12-15_final
2023-12-15 10:20:53	ga_s2am_ard_3-2-1_54LXK_2023-12-15_final
2023-12-15 10:20:56	ga_s2am_ard_3-2-1_54LZJ_2023-12-15_final
2023-12-15 10:21:04	ga_s2am_ard_3-2-1_54LYJ_2023-12-15_final
2023-12-15 10:21:07	ga_s2am_ard_3-2-1_54LXJ_2023-12-15_final
2023-12-15 10:21:11	ga_s2am_ard_3-2-1_54LWJ_2023-12-15_final
2023-12-15 10:21:25	ga_s2am_ard_3-2-1_54LWH_2023-12-15_final
2023-12-15 10:21:29	ga_s2am_ard_3-2-1_54LVH_2023-12-15_final
2023-12-15 10:21:40	ga_s2am_ard_3-2-1_54KWG_2023-12-15_final
2023-12-15 10:21:51	ga_s2am_ard_3-2-1_54KXF_2023-12-15_final
2023-12-15 10:21:57	ga_s2am_ard_3-2-1_54KVF_2023-12-15_final
2023-12-15 10:22:00	ga_s2am_ard_3-2-1_54KYE_2023-12-15_final
2023-12-15 10:25:16	ga_s2am_ard_3-2-1_53JQH_2023-12-15_final
2023-12-15 10:25:20	ga_s2am_ard_3-2-1_54JVM_2023-12-15_final
2023-12-15 10:25:24	ga_s2am_ard_3-2-1_54JUM_2023-12-15_final
2023-12-15 10:25:28	ga_s2am_ard_3-2-1_54JTM_2023-12-15_final
2023-12-15 10:25:30	ga_s2am_ard_3-2-1_53JQG_2023-12-15_final
2023-12-15 10:25:31	ga_s2am_ard_3-2-1_54JVL_2023-12-15_final
2023-12-15 10:25:36	ga_s2am_ard_3-2-1_53JPG_2023-12-15_final
2023-12-15 10:25:39	ga_s2am_ard_3-2-1_54JUL_2023-12-15_final
2023-12-15 10:25:42	ga_s2am_ard_3-2-1_54JTL_2023-12-15_final
2023-12-15 10:25:45	ga_s2am_ard_3-2-1_53JQF_2023-12-15_final
2023-12-15 10:25:48	ga_s2am_ard_3-2-1_53JPF_2023-12-15_final
2023-12-15 10:25:53	ga_s2am_ard_3-2-1_54HUK_2023-12-15_final
2023-12-15 10:25:57	ga_s2am_ard_3-2-1_54HTK_2023-12-15_final
2023-12-15 10:25:59	ga_s2am_ard_3-2-1_53HQE_2023-12-15_final
2023-12-15 10:26:03	ga_s2am_ard_3-2-1_53HPE_2023-12-15_final
2023-12-15 10:26:08	ga_s2am_ard_3-2-1_54HUJ_2023-12-15_final
2023-12-15 10:26:11	ga_s2am_ard_3-2-1_54HTJ_2023-12-15_final
2023-12-15 10:26:14	ga_s2am_ard_3-2-1_53HQD_2023-12-15_final
2023-12-15 10:26:17	ga_s2am_ard_3-2-1_53HPD_2023-12-15_final
2023-12-15 10:26:23	ga_s2am_ard_3-2-1_54HUH_2023-12-15_final
2023-12-15 10:26:26	ga_s2am_ard_3-2-1_54HTH_2023-12-15_final
2023-12-15 10:26:28	ga_s2am_ard_3-2-1_53HQC_2023-12-15_final
2023-12-15 10:26:30	ga_s2am_ard_3-2-1_53HPC_2023-12-15_final
2023-12-15 10:26:32	ga_s2am_ard_3-2-1_54HUG_2023-12-15_final
2023-12-15 10:26:33	ga_s2am_ard_3-2-1_53HNC_2023-12-15_final
2023-12-15 10:26:34	ga_s2am_ard_3-2-1_54HTH_2023-12-15_final
2023-12-15 10:26:35	ga_s2am_ard_3-2-1_54HTG_2023-12-15_final
2023-12-15 10:26:35	ga_s2am_ard_3-2-1_53HQC_2023-12-15_final
2023-12-15 10:26:35	ga_s2am_ard_3-2-1_53HQB_2023-12-15_final
2023-12-15 10:26:36	ga_s2am_ard_3-2-1_53HPB_2023-12-15_final
2023-12-15 10:26:37	ga_s2am_ard_3-2-1_53HPC_2023-12-15_final
2023-12-15 10:26:38	ga_s2am_ard_3-2-1_54HUG_2023-12-15_final
2023-12-15 10:26:39	ga_s2am_ard_3-2-1_53HNC_2023-12-15_final
2023-12-15 10:26:41	ga_s2am_ard_3-2-1_54HTG_2023-12-15_final
2023-12-15 10:26:43	ga_s2am_ard_3-2-1_53HQB_2023-12-15_final
2023-12-15 10:26:46	ga_s2am_ard_3-2-1_53HPB_2023-12-15_final
2023-12-15 10:26:47	ga_s2am_ard_3-2-1_54HUF_2023-12-15_final
2023-12-15 10:26:50	ga_s2am_ard_3-2-1_53HNB_2023-12-15_final
2023-12-15 10:26:55	ga_s2am_ard_3-2-1_54HTF_2023-12-15_final
2023-12-15 10:26:57	ga_s2am_ard_3-2-1_53HQA_2023-12-15_final
2023-12-15 10:27:01	ga_s2am_ard_3-2-1_53HPA_2023-12-15_final
2023-12-15 10:27:04	ga_s2am_ard_3-2-1_53HNA_2023-12-15_final
2023-12-15 10:27:07	ga_s2am_ard_3-2-1_54HTE_2023-12-15_final
2023-12-15 10:27:08	ga_s2am_ard_3-2-1_53HQV_2023-12-15_final
2023-12-15 10:27:10	ga_s2am_ard_3-2-1_53HPV_2023-12-15_final
2023-12-15 12:03:10	ga_s2am_ard_3-2-1_50KNC_2023-12-15_final
2023-12-15 12:03:11	ga_s2am_ard_3-2-1_50KMC_2023-12-15_final
2023-12-15 12:03:16	ga_s2am_ard_3-2-1_50KNC_2023-12-15_final
2023-12-15 12:03:19	ga_s2am_ard_3-2-1_50KMC_2023-12-15_final
2023-12-15 12:03:22	ga_s2am_ard_3-2-1_50KLC_2023-12-15_final
2023-12-15 12:03:25	ga_s2am_ard_3-2-1_50KKC_2023-12-15_final
2023-12-15 12:03:29	ga_s2am_ard_3-2-1_50KNB_2023-12-15_final
2023-12-15 12:03:33	ga_s2am_ard_3-2-1_50KMB_2023-12-15_final
2023-12-15 12:03:37	ga_s2am_ard_3-2-1_50KLB_2023-12-15_final
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_50KNA_2023-12-15_final
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_50KKB_2023-12-15_final
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_49KHS_2023-12-15_final
2023-12-15 12:03:48	ga_s2am_ard_3-2-1_50KMA_2023-12-15_final
2023-12-15 12:03:51	ga_s2am_ard_3-2-1_50KLA_2023-12-15_final
2023-12-15 12:03:55	ga_s2am_ard_3-2-1_50KKA_2023-12-15_final
2023-12-15 12:03:55	ga_s2am_ard_3-2-1_49KHR_2023-12-15_final
2023-12-15 12:04:02	ga_s2am_ard_3-2-1_50KMV_2023-12-15_final
2023-12-15 12:04:06	ga_s2am_ard_3-2-1_50KLV_2023-12-15_final
2023-12-15 12:04:09	ga_s2am_ard_3-2-1_50KKV_2023-12-15_final
2023-12-15 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2023-12-15_final
2023-12-15 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2023-12-15_final
2023-12-15 12:04:17	ga_s2am_ard_3-2-1_50KMU_2023-12-15_final
2023-12-15 12:04:21	ga_s2am_ard_3-2-1_50KLU_2023-12-15_final
2023-12-15 12:04:24	ga_s2am_ard_3-2-1_49KHP_2023-12-15_final
2023-12-15 12:04:24	ga_s2am_ard_3-2-1_50KKU_2023-12-15_final
2023-12-15 12:04:27	ga_s2am_ard_3-2-1_49KGP_2023-12-15_final
2023-12-15 12:04:31	ga_s2am_ard_3-2-1_50JMT_2023-12-15_final
2023-12-15 12:04:35	ga_s2am_ard_3-2-1_50JLT_2023-12-15_final
2023-12-15 12:04:38	ga_s2am_ard_3-2-1_49JHN_2023-12-15_final
2023-12-15 12:04:38	ga_s2am_ard_3-2-1_50JKT_2023-12-15_final
2023-12-15 12:04:42	ga_s2am_ard_3-2-1_49JGN_2023-12-15_final
2023-12-15 12:04:44	ga_s2am_ard_3-2-1_50JMS_2023-12-15_final

Return to ga_s2am_ard_3 on 15th December 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

December

15th