Search ga_s2am_ard_3 on 11th September 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
2022-09-11 10:19:34	ga_s2am_ard_3-2-1_54LZR_2022-09-11_final
2022-09-11 10:19:46	ga_s2am_ard_3-2-1_55LBK_2022-09-11_final
2022-09-11 10:19:48	ga_s2am_ard_3-2-1_54LZQ_2022-09-11_final
2022-09-11 10:19:52	ga_s2am_ard_3-2-1_54LYQ_2022-09-11_final
2022-09-11 10:19:55	ga_s2am_ard_3-2-1_54LXQ_2022-09-11_final
2022-09-11 10:20:01	ga_s2am_ard_3-2-1_55LBJ_2022-09-11_final
2022-09-11 10:20:03	ga_s2am_ard_3-2-1_54LZP_2022-09-11_final
2022-09-11 10:20:06	ga_s2am_ard_3-2-1_54LYP_2022-09-11_final
2022-09-11 10:20:10	ga_s2am_ard_3-2-1_54LXP_2022-09-11_final
2022-09-11 10:20:17	ga_s2am_ard_3-2-1_54LZN_2022-09-11_final
2022-09-11 10:20:21	ga_s2am_ard_3-2-1_54LYN_2022-09-11_final
2022-09-11 10:20:24	ga_s2am_ard_3-2-1_54LXN_2022-09-11_final
2022-09-11 10:20:29	ga_s2am_ard_3-2-1_54LWN_2022-09-11_final
2022-09-11 10:20:29	ga_s2am_ard_3-2-1_55LBG_2022-09-11_final
2022-09-11 10:20:31	ga_s2am_ard_3-2-1_54LZM_2022-09-11_final
2022-09-11 10:20:35	ga_s2am_ard_3-2-1_54LYM_2022-09-11_final
2022-09-11 10:20:38	ga_s2am_ard_3-2-1_54LXM_2022-09-11_final
2022-09-11 10:20:40	ga_s2am_ard_3-2-1_55LBF_2022-09-11_final
2022-09-11 10:20:42	ga_s2am_ard_3-2-1_54LWM_2022-09-11_final
2022-09-11 10:20:46	ga_s2am_ard_3-2-1_54LZL_2022-09-11_final
2022-09-11 10:20:50	ga_s2am_ard_3-2-1_54LYL_2022-09-11_final
2022-09-11 10:20:53	ga_s2am_ard_3-2-1_54LXL_2022-09-11_final
2022-09-11 10:20:56	ga_s2am_ard_3-2-1_54LWL_2022-09-11_final
2022-09-11 10:21:00	ga_s2am_ard_3-2-1_54LZK_2022-09-11_final
2022-09-11 10:21:04	ga_s2am_ard_3-2-1_54LYK_2022-09-11_final
2022-09-11 10:21:08	ga_s2am_ard_3-2-1_54LXK_2022-09-11_final
2022-09-11 10:21:11	ga_s2am_ard_3-2-1_54LWK_2022-09-11_final
2022-09-11 10:21:11	ga_s2am_ard_3-2-1_54LZJ_2022-09-11_final
2022-09-11 10:21:18	ga_s2am_ard_3-2-1_54LYJ_2022-09-11_final
2022-09-11 10:21:22	ga_s2am_ard_3-2-1_54LXJ_2022-09-11_final
2022-09-11 10:21:25	ga_s2am_ard_3-2-1_54LWJ_2022-09-11_final
2022-09-11 10:21:31	ga_s2am_ard_3-2-1_54LVJ_2022-09-11_final
2022-09-11 10:21:33	ga_s2am_ard_3-2-1_54LYH_2022-09-11_final
2022-09-11 10:21:37	ga_s2am_ard_3-2-1_54LXH_2022-09-11_final
2022-09-11 10:21:40	ga_s2am_ard_3-2-1_54LWH_2022-09-11_final
2022-09-11 10:21:43	ga_s2am_ard_3-2-1_54LVH_2022-09-11_final
2022-09-11 10:21:48	ga_s2am_ard_3-2-1_54KYG_2022-09-11_final
2022-09-11 10:21:51	ga_s2am_ard_3-2-1_54KXG_2022-09-11_final
2022-09-11 10:21:54	ga_s2am_ard_3-2-1_54KWG_2022-09-11_final
2022-09-11 10:21:57	ga_s2am_ard_3-2-1_54KVG_2022-09-11_final
2022-09-11 10:22:02	ga_s2am_ard_3-2-1_54KYF_2022-09-11_final
2022-09-11 10:22:06	ga_s2am_ard_3-2-1_54KXF_2022-09-11_final
2022-09-11 10:22:09	ga_s2am_ard_3-2-1_54KWF_2022-09-11_final
2022-09-11 10:22:12	ga_s2am_ard_3-2-1_54KVF_2022-09-11_final
2022-09-11 10:22:14	ga_s2am_ard_3-2-1_54KYE_2022-09-11_final
2022-09-11 10:22:20	ga_s2am_ard_3-2-1_54KXE_2022-09-11_final
2022-09-11 10:22:24	ga_s2am_ard_3-2-1_54KWE_2022-09-11_final
2022-09-11 10:22:24	ga_s2am_ard_3-2-1_54KYD_2022-09-11_final
2022-09-11 10:22:27	ga_s2am_ard_3-2-1_54KVE_2022-09-11_final
2022-09-11 10:22:34	ga_s2am_ard_3-2-1_54KUE_2022-09-11_final
2022-09-11 10:22:34	ga_s2am_ard_3-2-1_54KXD_2022-09-11_final
2022-09-11 10:22:38	ga_s2am_ard_3-2-1_54KWD_2022-09-11_final
2022-09-11 10:22:41	ga_s2am_ard_3-2-1_54KVD_2022-09-11_final
2022-09-11 10:22:45	ga_s2am_ard_3-2-1_54KUD_2022-09-11_final
2022-09-11 10:24:26	ga_s2am_ard_3-2-1_54JUS_2022-09-11_final
2022-09-11 10:24:29	ga_s2am_ard_3-2-1_53JRM_2022-09-11_final
2022-09-11 10:24:30	ga_s2am_ard_3-2-1_54JTS_2022-09-11_final
2022-09-11 10:24:31	ga_s2am_ard_3-2-1_54JWR_2022-09-11_final
2022-09-11 10:24:37	ga_s2am_ard_3-2-1_54JVR_2022-09-11_final
2022-09-11 10:24:41	ga_s2am_ard_3-2-1_54JUR_2022-09-11_final
2022-09-11 10:24:50	ga_s2am_ard_3-2-1_53JQL_2022-09-11_final
2022-09-11 10:24:52	ga_s2am_ard_3-2-1_54JVQ_2022-09-11_final
2022-09-11 10:24:56	ga_s2am_ard_3-2-1_54JUQ_2022-09-11_final
2022-09-11 10:24:59	ga_s2am_ard_3-2-1_54JTQ_2022-09-11_final
2022-09-11 10:25:02	ga_s2am_ard_3-2-1_53JQK_2022-09-11_final
2022-09-11 10:25:10	ga_s2am_ard_3-2-1_54JUP_2022-09-11_final
2022-09-11 10:25:13	ga_s2am_ard_3-2-1_54JTP_2022-09-11_final
2022-09-11 10:25:16	ga_s2am_ard_3-2-1_53JQJ_2022-09-11_final
2022-09-11 10:25:27	ga_s2am_ard_3-2-1_54JTN_2022-09-11_final
2022-09-11 10:25:29	ga_s2am_ard_3-2-1_53JQH_2022-09-11_final
2022-09-11 10:25:33	ga_s2am_ard_3-2-1_54JUM_2022-09-11_final
2022-09-11 10:25:34	ga_s2am_ard_3-2-1_54JTN_2022-09-11_final
2022-09-11 10:25:35	ga_s2am_ard_3-2-1_53JQH_2022-09-11_final
2022-09-11 10:25:36	ga_s2am_ard_3-2-1_54JVM_2022-09-11_final
2022-09-11 10:25:40	ga_s2am_ard_3-2-1_54JUM_2022-09-11_final
2022-09-11 10:25:42	ga_s2am_ard_3-2-1_54JTM_2022-09-11_final
2022-09-11 10:25:45	ga_s2am_ard_3-2-1_53JQG_2022-09-11_final
2022-09-11 10:25:46	ga_s2am_ard_3-2-1_54JVL_2022-09-11_final
2022-09-11 10:25:50	ga_s2am_ard_3-2-1_53JPG_2022-09-11_final
2022-09-11 10:25:54	ga_s2am_ard_3-2-1_54JUL_2022-09-11_final
2022-09-11 10:25:57	ga_s2am_ard_3-2-1_54JTL_2022-09-11_final
2022-09-11 10:25:59	ga_s2am_ard_3-2-1_53JQF_2022-09-11_final
2022-09-11 10:26:03	ga_s2am_ard_3-2-1_53JPF_2022-09-11_final
2022-09-11 10:26:08	ga_s2am_ard_3-2-1_54HUK_2022-09-11_final
2022-09-11 10:26:12	ga_s2am_ard_3-2-1_54HTK_2022-09-11_final
2022-09-11 10:26:14	ga_s2am_ard_3-2-1_53HQE_2022-09-11_final
2022-09-11 10:26:18	ga_s2am_ard_3-2-1_53HPE_2022-09-11_final
2022-09-11 10:26:23	ga_s2am_ard_3-2-1_54HUJ_2022-09-11_final
2022-09-11 10:26:26	ga_s2am_ard_3-2-1_54HTJ_2022-09-11_final
2022-09-11 10:26:28	ga_s2am_ard_3-2-1_53HQD_2022-09-11_final
2022-09-11 10:26:32	ga_s2am_ard_3-2-1_53HPD_2022-09-11_final
2022-09-11 10:26:37	ga_s2am_ard_3-2-1_54HUH_2022-09-11_final
2022-09-11 10:26:41	ga_s2am_ard_3-2-1_54HTH_2022-09-11_final
2022-09-11 10:26:43	ga_s2am_ard_3-2-1_53HQC_2022-09-11_final
2022-09-11 10:26:47	ga_s2am_ard_3-2-1_53HPC_2022-09-11_final
2022-09-11 10:26:51	ga_s2am_ard_3-2-1_54HUG_2022-09-11_final
2022-09-11 10:26:51	ga_s2am_ard_3-2-1_53HNC_2022-09-11_final
2022-09-11 10:26:55	ga_s2am_ard_3-2-1_54HTG_2022-09-11_final
2022-09-11 10:26:57	ga_s2am_ard_3-2-1_53HQB_2022-09-11_final
2022-09-11 10:27:01	ga_s2am_ard_3-2-1_53HPB_2022-09-11_final

Return to ga_s2am_ard_3 on 11th September 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

September

11th