Search ga_ls8c_ard_3 across June 2013

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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-06-15 10:48:59	ga_ls8c_ard_3-0-0_105069_2013-06-15_final
2013-06-15 10:49:23	ga_ls8c_ard_3-0-0_105070_2013-06-15_final
2013-06-15 10:49:47	ga_ls8c_ard_3-0-0_105071_2013-06-15_final
2013-06-15 10:50:11	ga_ls8c_ard_3-0-0_105072_2013-06-15_final
2013-06-15 10:50:35	ga_ls8c_ard_3-0-0_105073_2013-06-15_final
2013-06-15 10:50:59	ga_ls8c_ard_3-0-0_105074_2013-06-15_final
2013-06-15 10:51:23	ga_ls8c_ard_3-0-0_105075_2013-06-15_final
2013-06-15 10:52:10	ga_ls8c_ard_3-0-0_105077_2013-06-15_final
2013-06-15 10:52:34	ga_ls8c_ard_3-0-0_105078_2013-06-15_final
2013-06-15 10:52:58	ga_ls8c_ard_3-0-0_105079_2013-06-15_final
2013-06-15 10:53:22	ga_ls8c_ard_3-0-0_105080_2013-06-15_final
2013-06-16 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-06-16_final
2013-06-16 09:54:33	ga_ls8c_ard_3-0-0_096072_2013-06-16_final
2013-06-16 09:54:57	ga_ls8c_ard_3-0-0_096073_2013-06-16_final
2013-06-16 09:55:21	ga_ls8c_ard_3-0-0_096074_2013-06-16_final
2013-06-16 09:55:45	ga_ls8c_ard_3-0-0_096075_2013-06-16_final
2013-06-16 09:56:09	ga_ls8c_ard_3-0-0_096076_2013-06-16_final
2013-06-16 09:56:33	ga_ls8c_ard_3-0-0_096077_2013-06-16_final
2013-06-16 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-06-16_final
2013-06-16 09:57:20	ga_ls8c_ard_3-0-0_096079_2013-06-16_final
2013-06-16 09:57:44	ga_ls8c_ard_3-0-0_096080_2013-06-16_final
2013-06-16 09:58:08	ga_ls8c_ard_3-0-0_096081_2013-06-16_final
2013-06-16 09:58:32	ga_ls8c_ard_3-0-0_096082_2013-06-16_final
2013-06-16 09:58:56	ga_ls8c_ard_3-0-0_096083_2013-06-16_final
2013-06-16 09:59:20	ga_ls8c_ard_3-0-0_096084_2013-06-16_final
2013-06-16 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-06-16_final
2013-06-22 10:54:18	ga_ls8c_ard_3-0-0_106067_2013-06-22_final
2013-06-22 10:54:42	ga_ls8c_ard_3-0-0_106068_2013-06-22_final
2013-06-22 10:55:06	ga_ls8c_ard_3-0-0_106069_2013-06-22_final
2013-06-22 10:55:30	ga_ls8c_ard_3-0-0_106070_2013-06-22_final
2013-06-22 10:55:54	ga_ls8c_ard_3-0-0_106071_2013-06-22_final
2013-06-22 10:56:18	ga_ls8c_ard_3-0-0_106072_2013-06-22_final
2013-06-22 10:56:42	ga_ls8c_ard_3-0-0_106073_2013-06-22_final
2013-06-22 10:57:05	ga_ls8c_ard_3-0-0_106074_2013-06-22_final
2013-06-22 10:57:29	ga_ls8c_ard_3-0-0_106075_2013-06-22_final
2013-06-22 10:57:53	ga_ls8c_ard_3-0-0_106076_2013-06-22_final
2013-06-22 10:58:17	ga_ls8c_ard_3-0-0_106077_2013-06-22_final
2013-06-22 10:58:41	ga_ls8c_ard_3-0-0_106078_2013-06-22_final
2013-06-22 10:59:05	ga_ls8c_ard_3-0-0_106079_2013-06-22_final
2013-06-22 10:59:29	ga_ls8c_ard_3-0-0_106080_2013-06-22_final
2013-06-22 10:59:53	ga_ls8c_ard_3-0-0_106081_2013-06-22_final
2013-06-22 11:00:17	ga_ls8c_ard_3-0-0_106082_2013-06-22_final
2013-06-23 09:59:29	ga_ls8c_ard_3-0-0_097069_2013-06-23_final
2013-06-23 09:59:53	ga_ls8c_ard_3-0-0_097070_2013-06-23_final
2013-06-23 10:00:17	ga_ls8c_ard_3-0-0_097071_2013-06-23_final
2013-06-23 10:00:41	ga_ls8c_ard_3-0-0_097072_2013-06-23_final
2013-06-23 10:01:05	ga_ls8c_ard_3-0-0_097073_2013-06-23_final
2013-06-23 10:01:29	ga_ls8c_ard_3-0-0_097074_2013-06-23_final
2013-06-23 10:01:53	ga_ls8c_ard_3-0-0_097075_2013-06-23_final
2013-06-23 10:02:17	ga_ls8c_ard_3-0-0_097076_2013-06-23_final
2013-06-23 10:02:40	ga_ls8c_ard_3-0-0_097077_2013-06-23_final
2013-06-23 10:03:04	ga_ls8c_ard_3-0-0_097078_2013-06-23_final
2013-06-23 10:03:28	ga_ls8c_ard_3-0-0_097079_2013-06-23_final
2013-06-23 10:03:52	ga_ls8c_ard_3-0-0_097080_2013-06-23_final
2013-06-23 10:04:16	ga_ls8c_ard_3-0-0_097081_2013-06-23_final
2013-06-23 10:04:40	ga_ls8c_ard_3-0-0_097082_2013-06-23_final
2013-06-23 10:05:04	ga_ls8c_ard_3-0-0_097083_2013-06-23_final
2013-06-23 10:05:28	ga_ls8c_ard_3-0-0_097084_2013-06-23_final
2013-06-23 11:39:34	ga_ls8c_ard_3-0-0_113072_2013-06-23_final
2013-06-23 11:39:58	ga_ls8c_ard_3-0-0_113073_2013-06-23_final
2013-06-23 11:40:22	ga_ls8c_ard_3-0-0_113074_2013-06-23_final
2013-06-23 11:40:46	ga_ls8c_ard_3-0-0_113075_2013-06-23_final
2013-06-23 11:41:10	ga_ls8c_ard_3-0-0_113076_2013-06-23_final
2013-06-23 11:41:34	ga_ls8c_ard_3-0-0_113077_2013-06-23_final
2013-06-23 11:41:58	ga_ls8c_ard_3-0-0_113078_2013-06-23_final
2013-06-23 11:42:21	ga_ls8c_ard_3-0-0_113079_2013-06-23_final
2013-06-23 11:42:45	ga_ls8c_ard_3-0-0_113080_2013-06-23_final
2013-06-23 11:43:09	ga_ls8c_ard_3-0-0_113081_2013-06-23_final
2013-06-23 11:43:33	ga_ls8c_ard_3-0-0_113082_2013-06-23_final
2013-06-23 11:43:57	ga_ls8c_ard_3-0-0_113083_2013-06-23_final
2013-06-24 09:08:16	ga_ls8c_ard_3-0-0_088080_2013-06-23_final
2013-06-24 09:08:39	ga_ls8c_ard_3-1-0_088081_2013-06-23_final
2013-06-24 10:42:21	ga_ls8c_ard_3-0-0_104068_2013-06-24_final
2013-06-24 10:42:45	ga_ls8c_ard_3-0-0_104069_2013-06-24_final
2013-06-24 10:43:09	ga_ls8c_ard_3-0-0_104070_2013-06-24_final
2013-06-24 10:43:33	ga_ls8c_ard_3-0-0_104071_2013-06-24_final
2013-06-24 10:43:57	ga_ls8c_ard_3-0-0_104072_2013-06-24_final
2013-06-24 10:44:21	ga_ls8c_ard_3-0-0_104073_2013-06-24_final
2013-06-24 10:44:45	ga_ls8c_ard_3-0-0_104074_2013-06-24_final
2013-06-24 10:45:09	ga_ls8c_ard_3-0-0_104075_2013-06-24_final
2013-06-24 10:45:33	ga_ls8c_ard_3-0-0_104076_2013-06-24_final
2013-06-24 10:47:09	ga_ls8c_ard_3-0-0_104080_2013-06-24_final
2013-06-24 10:47:32	ga_ls8c_ard_3-0-0_104081_2013-06-24_final
2013-06-25 09:46:20	ga_ls8c_ard_3-0-0_095067_2013-06-25_final
2013-06-25 09:48:20	ga_ls8c_ard_3-0-0_095072_2013-06-25_final
2013-06-25 09:48:44	ga_ls8c_ard_3-0-0_095073_2013-06-25_final
2013-06-25 09:49:08	ga_ls8c_ard_3-0-0_095074_2013-06-25_final
2013-06-25 09:49:32	ga_ls8c_ard_3-0-0_095075_2013-06-25_final
2013-06-25 09:49:56	ga_ls8c_ard_3-0-0_095076_2013-06-25_final
2013-06-25 09:50:20	ga_ls8c_ard_3-0-0_095077_2013-06-25_final
2013-06-25 09:50:44	ga_ls8c_ard_3-0-0_095078_2013-06-25_final
2013-06-25 09:51:08	ga_ls8c_ard_3-0-0_095079_2013-06-25_final
2013-06-25 09:51:32	ga_ls8c_ard_3-0-0_095080_2013-06-25_final
2013-06-25 09:51:56	ga_ls8c_ard_3-0-0_095081_2013-06-25_final
2013-06-25 09:52:20	ga_ls8c_ard_3-0-0_095082_2013-06-25_final
2013-06-25 09:52:43	ga_ls8c_ard_3-0-0_095083_2013-06-25_final
2013-06-25 09:53:07	ga_ls8c_ard_3-0-0_095084_2013-06-25_final
2013-06-25 09:53:31	ga_ls8c_ard_3-0-0_095085_2013-06-25_final
2013-06-25 09:53:55	ga_ls8c_ard_3-0-0_095086_2013-06-25_final
2013-06-25 11:25:14	ga_ls8c_ard_3-0-0_111067_2013-06-25_final

Return to ga_ls8c_ard_3 across June 2013 overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner 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

2013

June

All days