Search ga_ls7e_ard_3 whole collection

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

56 results

Time (local)	Label
1999-10-10 09:38:03	ga_ls7e_ard_3-0-0_094084_1999-10-10_final
2000-06-28 10:36:30	ga_ls7e_ard_3-0-0_104079_2000-06-28_final
2001-12-13 09:12:20	ga_ls7e_ard_3-0-0_091077_2001-12-12_final
2001-12-24 10:29:07	ga_ls7e_ard_3-0-0_104068_2001-12-24_final
2002-10-03 10:13:36	ga_ls7e_ard_3-0-0_101078_2002-10-03_final
2002-11-06 10:01:24	ga_ls7e_ard_3-0-0_099078_2002-11-06_final
2003-02-17 10:05:35	ga_ls7e_ard_3-0-0_100071_2003-02-17_final
2003-08-11 11:04:31	ga_ls7e_ard_3-0-0_109080_2003-08-11_final
2003-12-12 10:42:20	ga_ls7e_ard_3-0-0_106070_2003-12-12_final
2004-01-07 09:40:42	ga_ls7e_ard_3-0-0_096070_2004-01-07_final
2004-07-03 11:12:30	ga_ls7e_ard_3-0-0_110083_2004-07-03_final
2004-10-05 09:46:43	ga_ls7e_ard_3-1-0_096086_2004-10-05_final
2005-06-08 10:44:41	ga_ls7e_ard_3-0-0_106074_2005-06-08_final
2005-07-18 09:53:10	ga_ls7e_ard_3-0-0_098069_2005-07-18_final
2005-12-02 09:53:08	ga_ls7e_ard_3-0-0_097084_2005-12-02_final
2006-06-18 09:17:39	ga_ls7e_ard_3-0-0_091087_2006-06-17_final
2007-05-25 11:10:12	ga_ls7e_ard_3-0-0_110074_2007-05-25_final
2008-01-24 09:07:50	ga_ls7e_ard_3-0-0_090077_2008-01-23_final
2008-02-08 10:03:49	ga_ls7e_ard_3-0-0_099078_2008-02-08_final
2008-09-05 11:31:02	ga_ls7e_ard_3-0-0_113083_2008-09-05_final
2009-04-15 11:42:45	ga_ls7e_ard_3-0-0_115078_2009-04-15_final
2009-08-06 09:10:54	ga_ls7e_ard_3-1-0_090085_2009-08-05_final
2009-09-28 11:07:27	ga_ls7e_ard_3-0-0_109083_2009-09-28_final
2010-04-06 09:43:00	ga_ls7e_ard_3-0-0_095083_2010-04-06_final
2010-04-27 09:59:56	ga_ls7e_ard_3-0-0_098079_2010-04-27_final
2011-08-10 11:00:33	ga_ls7e_ard_3-0-0_108073_2011-08-10_final
2011-11-24 09:57:49	ga_ls7e_ard_3-0-0_098070_2011-11-24_final
2011-12-01 10:04:27	ga_ls7e_ard_3-0-0_099071_2011-12-01_final
2012-07-01 10:27:50	ga_ls7e_ard_3-0-0_102081_2012-07-01_final
2012-08-07 10:41:39	ga_ls7e_ard_3-0-0_105068_2012-08-07_final
2012-10-21 10:25:04	ga_ls7e_ard_3-0-0_102071_2012-10-21_final
2013-08-11 11:31:28	ga_ls7e_ard_3-1-0_112084_2013-08-11_final
2014-02-14 11:09:43	ga_ls7e_ard_3-0-0_109072_2014-02-14_final
2015-05-06 09:46:32	ga_ls7e_ard_3-0-0_095074_2015-05-06_final
2015-08-10 09:50:37	ga_ls7e_ard_3-0-0_095083_2015-08-10_final
2016-02-06 11:06:48	ga_ls7e_ard_3-0-0_107083_2016-02-06_final
2017-03-09 10:31:48	ga_ls7e_ard_3-0-0_102072_2017-03-09_final
2017-05-07 10:11:59	ga_ls7e_ard_3-0-0_099068_2017-05-07_final
2017-05-08 09:24:45	ga_ls7e_ard_3-0-0_090089_2017-05-07_final
2017-05-27 09:49:20	ga_ls7e_ard_3-1-0_095073_2017-05-27_final
2017-06-09 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-06-09_final
2018-01-03 10:56:08	ga_ls7e_ard_3-0-0_106071_2018-01-03_final
2018-07-12 09:33:01	ga_ls7e_ard_3-0-0_092087_2018-07-12_final
2018-10-05 09:49:26	ga_ls7e_ard_3-0-0_095086_2018-10-05_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2019-06-18 11:15:12	ga_ls7e_ard_3-0-0_111073_2019-06-18_final
2019-12-23 09:55:17	ga_ls7e_ard_3-1-0_099079_2019-12-23_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-02-24 09:12:00	ga_ls7e_ard_3-1-0_092087_2020-02-23_final
2020-05-20 10:06:28	ga_ls7e_ard_3-1-0_102081_2020-05-20_final
2020-11-27 10:44:20	ga_ls7e_ard_3-1-0_111067_2020-11-27_final
2020-12-10 08:40:47	ga_ls7e_ard_3-1-0_090085_2020-12-09_final
2021-02-11 11:06:44	ga_ls7e_ard_3-2-0_115075_2021-02-11_final
2021-07-15 08:14:37	ga_ls7e_ard_3-2-0_089078_2021-07-14_final
2022-03-28 07:51:52	ga_ls7e_ard_3-2-1_089081_2022-03-27_final
2022-03-28 07:53:52	ga_ls7e_ard_3-2-1_089086_2022-03-27_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years