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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

53 results

Time (local)	Label
2000-03-14 09:56:42	ga_ls7e_ard_3-0-0_098070_2000-03-14_final
2000-07-12 10:45:04	ga_ls7e_ard_3-0-0_106070_2000-07-12_final
2001-04-11 09:47:40	ga_ls7e_ard_3-0-0_097069_2001-04-11_final
2001-09-04 09:39:00	ga_ls7e_ard_3-0-0_095082_2001-09-04_final
2001-09-29 11:12:17	ga_ls7e_ard_3-0-0_110084_2001-09-29_final
2002-11-08 11:26:20	ga_ls7e_ard_3-0-0_113074_2002-11-08_final
2003-03-07 11:36:10	ga_ls7e_ard_3-0-0_114081_2003-03-07_final
2004-01-12 09:58:51	ga_ls7e_ard_3-0-0_099069_2004-01-12_final
2004-01-22 09:03:31	ga_ls7e_ard_3-0-0_089085_2004-01-21_final
2004-05-14 09:45:46	ga_ls7e_ard_3-0-0_096082_2004-05-14_final
2004-08-11 11:14:05	ga_ls7e_ard_3-0-0_111072_2004-08-11_final
2004-11-02 10:08:10	ga_ls7e_ard_3-0-0_100077_2004-11-02_final
2005-01-12 10:12:29	ga_ls7e_ard_3-0-0_101071_2005-01-12_final
2005-01-30 09:59:46	ga_ls7e_ard_3-0-0_099070_2005-01-30_final
2005-03-11 10:51:52	ga_ls7e_ard_3-0-0_107076_2005-03-11_final
2005-06-27 09:40:12	ga_ls7e_ard_3-0-0_095083_2005-06-27_final
2005-11-09 09:47:12	ga_ls7e_ard_3-0-0_096085_2005-11-09_final
2005-12-19 08:56:45	ga_ls7e_ard_3-0-0_088082_2005-12-18_final
2006-02-21 10:32:30	ga_ls7e_ard_3-0-0_104073_2006-02-21_final
2006-06-03 09:53:48	ga_ls7e_ard_3-0-0_098069_2006-06-03_final
2006-06-12 11:25:40	ga_ls7e_ard_3-0-0_113067_2006-06-12_final
2007-04-19 11:37:31	ga_ls7e_ard_3-0-0_114080_2007-04-19_final
2007-12-06 11:43:04	ga_ls7e_ard_3-0-0_115079_2007-12-06_final
2008-01-17 09:06:52	ga_ls7e_ard_3-0-0_089090_2008-01-16_final
2008-06-30 09:22:14	ga_ls7e_ard_3-0-0_092084_2008-06-29_final
2009-01-22 09:30:45	ga_ls7e_ard_3-0-0_094074_2009-01-22_final
2009-02-11 09:12:09	ga_ls7e_ard_3-0-0_090089_2009-02-10_final
2009-02-12 09:47:50	ga_ls7e_ard_3-0-0_097070_2009-02-12_final
2009-04-17 09:48:43	ga_ls7e_ard_3-0-0_097071_2009-04-17_final
2009-08-29 09:17:03	ga_ls7e_ard_3-0-0_091085_2009-08-28_final
2010-01-05 09:55:06	ga_ls7e_ard_3-0-0_098069_2010-01-05_final
2010-02-26 09:30:14	ga_ls7e_ard_3-1-0_094067_2010-02-26_final
2010-11-09 09:33:15	ga_ls7e_ard_3-0-0_094073_2010-11-09_final
2011-03-17 09:34:35	ga_ls7e_ard_3-0-0_094074_2011-03-17_final
2011-07-01 10:10:49	ga_ls7e_ard_3-0-0_100072_2011-07-01_final
2011-07-02 10:58:52	ga_ls7e_ard_3-0-0_107084_2011-07-02_final
2011-07-20 10:40:31	ga_ls7e_ard_3-0-0_105069_2011-07-20_final
2011-10-04 11:09:23	ga_ls7e_ard_3-0-0_109080_2011-10-04_final
2012-01-15 09:32:15	ga_ls7e_ard_3-1-0_094067_2012-01-15_final
2012-07-07 09:45:15	ga_ls7e_ard_3-0-0_096067_2012-07-07_final
2012-12-26 10:13:03	ga_ls7e_ard_3-0-0_100071_2012-12-26_final
2014-05-24 10:01:07	ga_ls7e_ard_3-0-0_098069_2014-05-24_final
2014-07-11 11:39:21	ga_ls7e_ard_3-0-0_114067_2014-07-11_final
2015-03-17 11:40:13	ga_ls7e_ard_3-0-0_113081_2015-03-17_final
2015-07-31 10:48:46	ga_ls7e_ard_3-0-0_105074_2015-07-31_final
2015-10-13 09:44:34	ga_ls7e_ard_3-0-0_095067_2015-10-13_final
2017-06-25 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-06-24_final
2017-10-16 10:00:36	ga_ls7e_ard_3-0-0_097070_2017-10-16_final
2021-01-21 09:08:52	ga_ls7e_ard_3-2-0_096070_2021-01-20_final
2021-02-24 10:38:27	ga_ls7e_ard_3-2-0_110084_2021-02-24_final
2021-03-01 09:12:56	ga_ls7e_ard_3-2-0_097072_2021-02-28_final
2021-05-07 09:41:56	ga_ls7e_ard_3-2-0_102081_2021-05-07_final
2021-11-01 09:10:10	ga_ls7e_ard_3-2-0_100071_2021-10-31_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years