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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

44 results

Time (local)	Label
1999-12-10 09:05:02	ga_ls7e_ard_3-0-0_089079_1999-12-09_final
2000-02-23 10:20:40	ga_ls7e_ard_3-0-0_102068_2000-02-23_final
2002-03-27 11:40:01	ga_ls7e_ard_3-0-0_115075_2002-03-27_final
2003-01-25 11:40:54	ga_ls7e_ard_3-0-0_115078_2003-01-25_final
2004-02-07 09:04:01	ga_ls7e_ard_3-0-0_089086_2004-02-06_final
2004-06-01 11:08:14	ga_ls7e_ard_3-1-0_110072_2004-06-01_final
2004-07-14 10:53:56	ga_ls7e_ard_3-0-0_107083_2004-07-14_final
2004-09-10 09:49:50	ga_ls7e_ard_3-0-0_097078_2004-09-10_final
2005-05-28 11:03:42	ga_ls7e_ard_3-0-0_109075_2005-05-28_final
2005-08-18 09:13:47	ga_ls7e_ard_3-0-0_091079_2005-08-17_final
2005-10-04 10:07:58	ga_ls7e_ard_3-0-0_100076_2005-10-04_final
2005-11-10 10:28:53	ga_ls7e_ard_3-0-0_103081_2005-11-10_final
2006-12-10 10:12:14	ga_ls7e_ard_3-0-0_100084_2006-12-10_final
2007-11-01 09:30:36	ga_ls7e_ard_3-0-0_094073_2007-11-01_final
2008-04-18 09:24:57	ga_ls7e_ard_3-0-0_093074_2008-04-17_final
2009-10-09 09:10:19	ga_ls7e_ard_3-0-0_090084_2009-10-08_final
2010-11-02 11:04:40	ga_ls7e_ard_3-0-0_109070_2010-11-02_final
2011-01-15 10:06:25	ga_ls7e_ard_3-0-0_099077_2011-01-15_final
2011-02-27 09:51:41	ga_ls7e_ard_3-1-0_096086_2011-02-27_final
2011-11-10 11:26:11	ga_ls7e_ard_3-0-0_112075_2011-11-10_final
2012-05-25 10:09:18	ga_ls7e_ard_3-0-0_099081_2012-05-25_final
2013-06-21 09:20:54	ga_ls7e_ard_3-0-0_091081_2013-06-20_final
2013-07-01 09:55:53	ga_ls7e_ard_3-1-0_097076_2013-07-01_final
2013-09-13 10:33:28	ga_ls7e_ard_3-0-0_103077_2013-09-13_final
2013-12-14 11:01:18	ga_ls7e_ard_3-0-0_107083_2013-12-14_final
2014-05-15 10:10:26	ga_ls7e_ard_3-0-0_099077_2014-05-15_final
2016-02-28 10:27:24	ga_ls7e_ard_3-0-0_101077_2016-02-28_final
2016-08-27 10:43:30	ga_ls7e_ard_3-0-0_104069_2016-08-27_final
2016-11-13 10:55:21	ga_ls7e_ard_3-0-0_106068_2016-11-13_final
2016-11-22 10:49:56	ga_ls7e_ard_3-0-0_105070_2016-11-22_final
2017-01-08 11:48:03	ga_ls7e_ard_3-0-0_114077_2017-01-08_final
2017-02-20 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-20_final
2017-08-01 11:19:09	ga_ls7e_ard_3-1-0_109081_2017-08-01_final
2017-09-12 10:13:43	ga_ls7e_ard_3-0-0_099072_2017-09-12_final
2019-02-10 09:38:24	ga_ls7e_ard_3-0-0_095067_2019-02-10_final
2019-09-23 10:18:47	ga_ls7e_ard_3-1-0_102081_2019-09-23_final
2020-03-03 09:59:49	ga_ls7e_ard_3-1-0_100084_2020-03-03_final
2020-08-16 09:13:18	ga_ls7e_ard_3-1-0_094085_2020-08-15_final
2020-09-08 09:12:47	ga_ls7e_ard_3-1-0_095072_2020-09-07_final
2020-10-09 10:08:23	ga_ls7e_ard_3-1-0_104077_2020-10-09_final
2020-10-21 10:34:44	ga_ls7e_ard_3-1-0_108083_2020-10-21_final
2021-11-26 09:05:10	ga_ls7e_ard_3-2-1_099080_2021-11-25_final
2022-03-02 10:34:17	ga_ls7e_ard_3-2-1_115079_2022-03-02_final
2022-04-04 07:55:46	ga_ls7e_ard_3-2-1_090077_2022-04-03_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