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

61 results

Time (local)	Label
2000-10-23 10:52:00	ga_ls7e_ard_3-0-0_107075_2000-10-23_final
2001-03-30 11:03:53	ga_ls7e_ard_3-0-0_109074_2001-03-30_final
2001-09-23 10:07:45	ga_ls7e_ard_3-0-0_100077_2001-09-23_final
2001-11-11 10:50:14	ga_ls7e_ard_3-0-0_107075_2001-11-11_final
2001-12-10 10:16:41	ga_ls7e_ard_3-0-0_102068_2001-12-10_final
2002-03-07 10:28:46	ga_ls7e_ard_3-0-0_103082_2002-03-07_final
2002-05-31 10:44:12	ga_ls7e_ard_3-1-0_106075_2002-05-31_final
2002-06-30 10:53:59	ga_ls7e_ard_3-0-0_108069_2002-06-30_final
2002-09-18 10:53:19	ga_ls7e_ard_3-0-0_108069_2002-09-18_final
2003-04-09 10:38:34	ga_ls7e_ard_3-0-0_105076_2003-04-09_final
2003-07-20 10:01:40	ga_ls7e_ard_3-0-0_099077_2003-07-20_final
2003-11-22 11:06:58	ga_ls7e_ard_3-0-0_110070_2003-11-22_final
2003-12-03 10:50:25	ga_ls7e_ard_3-0-0_107075_2003-12-03_final
2003-12-20 09:53:22	ga_ls7e_ard_3-0-0_098071_2003-12-20_final
2004-05-02 10:54:43	ga_ls7e_ard_3-0-0_108069_2004-05-02_final
2004-06-19 10:54:34	ga_ls7e_ard_3-0-0_108069_2004-06-19_final
2004-08-12 10:22:04	ga_ls7e_ard_3-0-0_102081_2004-08-12_final
2004-08-23 10:01:54	ga_ls7e_ard_3-0-0_099077_2004-08-23_final
2004-09-16 10:50:23	ga_ls7e_ard_3-0-0_107075_2004-09-16_final
2004-10-09 09:17:09	ga_ls7e_ard_3-1-0_092074_2004-10-08_final
2005-03-18 10:55:15	ga_ls7e_ard_3-0-0_108069_2005-03-18_final
2005-07-08 10:56:58	ga_ls7e_ard_3-0-0_108074_2005-07-08_final
2005-08-02 10:51:09	ga_ls7e_ard_3-0-0_107075_2005-08-02_final
2005-08-18 10:51:04	ga_ls7e_ard_3-0-0_107075_2005-08-18_final
2006-02-01 10:57:09	ga_ls7e_ard_3-0-0_108073_2006-02-01_final
2006-02-24 09:22:08	ga_ls7e_ard_3-0-0_093067_2006-02-23_final
2006-06-17 10:09:17	ga_ls7e_ard_3-0-0_100077_2006-06-17_final
2006-08-28 10:55:11	ga_ls7e_ard_3-0-0_108069_2006-08-28_final
2006-09-29 10:54:59	ga_ls7e_ard_3-0-0_108069_2006-09-29_final
2006-11-03 11:28:13	ga_ls7e_ard_3-0-0_113074_2006-11-03_final
2007-05-03 10:09:45	ga_ls7e_ard_3-0-0_100077_2007-05-03_final
2007-06-13 10:03:47	ga_ls7e_ard_3-0-0_099078_2007-06-13_final
2007-12-21 10:55:52	ga_ls7e_ard_3-0-0_108069_2007-12-21_final
2008-03-17 11:06:39	ga_ls7e_ard_3-1-0_109081_2008-03-17_final
2008-03-18 10:11:50	ga_ls7e_ard_3-0-0_100083_2008-03-18_final
2008-10-29 10:50:40	ga_ls7e_ard_3-0-0_107075_2008-10-29_final
2009-12-05 09:02:09	ga_ls7e_ard_3-0-0_089077_2009-12-04_final
2010-04-04 09:50:10	ga_ls7e_ard_3-0-0_097070_2010-04-04_final
2010-04-12 10:42:01	ga_ls7e_ard_3-0-0_105076_2010-04-12_final
2010-11-12 10:05:48	ga_ls7e_ard_3-0-0_099077_2010-11-12_final
2010-11-23 09:43:25	ga_ls7e_ard_3-0-0_096067_2010-11-23_final
2011-04-28 10:12:55	ga_ls7e_ard_3-0-0_100077_2011-04-28_final
2011-12-28 09:44:34	ga_ls7e_ard_3-0-0_096067_2011-12-28_final
2013-04-28 09:53:29	ga_ls7e_ard_3-0-0_097069_2013-04-28_final
2013-11-04 11:48:55	ga_ls7e_ard_3-0-0_115079_2013-11-04_final
2013-12-26 09:40:49	ga_ls7e_ard_3-0-0_095067_2013-12-26_final
2014-02-25 10:50:42	ga_ls7e_ard_3-0-0_106071_2014-02-25_final
2015-05-24 09:34:18	ga_ls7e_ard_3-0-0_093074_2015-05-24_final
2015-07-23 11:39:48	ga_ls7e_ard_3-0-0_113078_2015-07-23_final
2017-07-16 11:16:47	ga_ls7e_ard_3-0-0_109075_2017-07-16_final
2018-04-02 09:13:04	ga_ls7e_ard_3-0-0_089079_2018-04-01_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2019-02-10 11:17:16	ga_ls7e_ard_3-0-0_111067_2019-02-10_final
2019-07-08 09:16:49	ga_ls7e_ard_3-0-0_091088_2019-07-07_final
2019-09-17 10:53:44	ga_ls7e_ard_3-1-0_108075_2019-09-17_final
2020-04-03 10:49:44	ga_ls7e_ard_3-1-0_109074_2020-04-03_final
2021-02-18 09:34:19	ga_ls7e_ard_3-2-0_100077_2021-02-18_final
2021-05-13 08:58:46	ga_ls7e_ard_3-2-0_096067_2021-05-12_final
2021-05-18 11:00:09	ga_ls7e_ard_3-2-0_115078_2021-05-18_final
2021-09-26 09:42:30	ga_ls7e_ard_3-2-0_104082_2021-09-26_final
2022-02-20 09:54:11	ga_ls7e_ard_3-2-1_109069_2022-02-20_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