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

57 results

Time (local)	Label
2000-11-13 09:28:34	ga_ls7e_ard_3-1-0_094067_2000-11-12_final
2001-11-13 09:04:35	ga_ls7e_ard_3-1-0_089089_2001-11-12_final
2001-12-05 11:39:40	ga_ls7e_ard_3-0-0_115075_2001-12-05_final
2002-02-27 11:12:15	ga_ls7e_ard_3-0-0_111067_2002-02-27_final
2002-05-07 09:51:47	ga_ls7e_ard_3-0-0_098067_2002-05-07_final
2004-05-15 10:28:38	ga_ls7e_ard_3-1-0_103081_2004-05-15_final
2004-09-16 10:49:12	ga_ls7e_ard_3-0-0_107072_2004-09-16_final
2004-12-16 10:29:38	ga_ls7e_ard_3-0-0_104068_2004-12-16_final
2005-08-25 10:55:13	ga_ls7e_ard_3-0-0_108070_2005-08-25_final
2007-05-11 09:24:15	ga_ls7e_ard_3-0-0_092087_2007-05-10_final
2007-06-30 10:45:26	ga_ls7e_ard_3-0-0_106074_2007-06-30_final
2007-08-16 10:03:33	ga_ls7e_ard_3-0-0_099078_2007-08-16_final
2007-11-14 10:42:18	ga_ls7e_ard_3-0-0_105082_2007-11-14_final
2008-03-11 10:04:03	ga_ls7e_ard_3-0-0_099079_2008-03-11_final
2008-08-18 09:59:52	ga_ls7e_ard_3-0-0_099071_2008-08-18_final
2008-09-29 09:03:17	ga_ls7e_ard_3-0-0_089085_2008-09-28_final
2008-11-13 10:10:49	ga_ls7e_ard_3-0-0_100083_2008-11-13_final
2008-11-14 10:48:54	ga_ls7e_ard_3-0-0_107070_2008-11-14_final
2009-02-12 11:28:19	ga_ls7e_ard_3-0-0_113074_2009-02-12_final
2010-02-25 10:27:03	ga_ls7e_ard_3-0-0_103070_2010-02-25_final
2010-06-27 11:09:54	ga_ls7e_ard_3-0-0_109084_2010-06-27_final
2010-08-17 11:38:27	ga_ls7e_ard_3-0-0_114078_2010-08-17_final
2010-12-07 11:34:48	ga_ls7e_ard_3-0-0_114067_2010-12-07_final
2011-02-12 10:29:16	ga_ls7e_ard_3-0-0_103072_2011-02-12_final
2011-06-23 09:26:36	ga_ls7e_ard_3-0-0_092085_2011-06-22_final
2011-09-30 11:34:29	ga_ls7e_ard_3-0-0_113081_2011-09-30_final
2012-06-19 10:01:47	ga_ls7e_ard_3-0-0_098078_2012-06-19_final
2012-09-24 09:08:50	ga_ls7e_ard_3-0-0_089082_2012-09-23_final
2013-03-03 09:11:03	ga_ls7e_ard_3-0-0_089086_2013-03-02_final
2013-04-17 10:12:53	ga_ls7e_ard_3-0-0_100071_2013-04-17_final
2013-10-30 11:31:55	ga_ls7e_ard_3-0-0_112083_2013-10-30_final
2013-11-05 10:54:30	ga_ls7e_ard_3-0-0_106082_2013-11-05_final
2014-01-23 10:12:15	ga_ls7e_ard_3-0-0_099083_2014-01-23_final
2014-01-24 10:53:56	ga_ls7e_ard_3-0-0_106079_2014-01-24_final
2014-03-27 11:02:53	ga_ls7e_ard_3-0-0_108070_2014-03-27_final
2014-07-03 09:18:12	ga_ls7e_ard_3-0-0_090085_2014-07-02_final
2014-11-23 10:09:24	ga_ls7e_ard_3-0-0_099072_2014-11-23_final
2015-02-24 11:20:19	ga_ls7e_ard_3-0-0_110078_2015-02-24_final
2015-07-11 11:14:38	ga_ls7e_ard_3-0-0_109077_2015-07-11_final
2015-08-04 10:25:41	ga_ls7e_ard_3-0-0_101078_2015-08-04_final
2016-05-30 10:52:17	ga_ls7e_ard_3-0-0_105076_2016-05-30_final
2017-01-17 11:40:34	ga_ls7e_ard_3-0-0_113074_2017-01-17_final
2017-04-12 10:19:13	ga_ls7e_ard_3-0-0_100071_2017-04-12_final
2017-06-09 10:56:11	ga_ls7e_ard_3-0-0_106070_2017-06-09_final
2017-07-04 10:52:03	ga_ls7e_ard_3-0-0_105075_2017-07-04_final
2017-08-15 11:29:05	ga_ls7e_ard_3-0-0_111075_2017-08-15_final
2018-09-15 11:49:32	ga_ls7e_ard_3-0-0_115076_2018-09-15_final
2019-03-03 11:39:34	ga_ls7e_ard_3-1-0_114078_2019-03-03_final
2019-03-16 09:28:58	ga_ls7e_ard_3-1-0_093077_2019-03-15_final
2019-05-01 11:20:58	ga_ls7e_ard_3-0-0_111083_2019-05-01_final
2019-10-31 09:37:18	ga_ls7e_ard_3-1-0_096074_2019-10-31_final
2020-04-26 10:58:10	ga_ls7e_ard_3-1-0_110083_2020-04-26_final
2020-12-24 10:29:22	ga_ls7e_ard_3-1-0_108081_2020-12-24_final
2021-01-12 10:58:33	ga_ls7e_ard_3-1-0_113080_2021-01-12_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-03-22 09:29:25	ga_ls7e_ard_3-2-0_100071_2021-03-21_final
2022-03-27 08:43:12	ga_ls7e_ard_3-2-1_098070_2022-03-26_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