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

59 results

Time (local)	Label
2000-01-17 10:02:19	ga_ls7e_ard_3-0-0_099068_2000-01-17_final
2000-04-27 10:25:34	ga_ls7e_ard_3-0-0_102081_2000-04-27_final
2000-08-19 10:10:21	ga_ls7e_ard_3-0-0_100077_2000-08-19_final
2000-09-28 10:55:59	ga_ls7e_ard_3-0-0_108069_2000-09-28_final
2001-09-06 11:02:19	ga_ls7e_ard_3-0-0_109074_2001-09-06_final
2001-11-05 09:49:33	ga_ls7e_ard_3-0-0_097078_2001-11-05_final
2001-11-14 09:39:04	ga_ls7e_ard_3-0-0_096067_2001-11-14_final
2002-07-18 10:47:06	ga_ls7e_ard_3-0-0_106083_2002-07-18_final
2002-11-29 10:07:32	ga_ls7e_ard_3-0-0_100077_2002-11-29_final
2002-12-25 10:43:55	ga_ls7e_ard_3-1-0_106075_2002-12-25_final
2003-07-28 10:50:14	ga_ls7e_ard_3-0-0_107075_2003-07-28_final
2003-08-20 10:56:21	ga_ls7e_ard_3-1-0_108075_2003-08-20_final
2003-11-01 10:50:11	ga_ls7e_ard_3-0-0_107075_2003-11-01_final
2004-02-18 10:22:22	ga_ls7e_ard_3-0-0_102081_2004-02-18_final
2005-06-01 10:38:57	ga_ls7e_ard_3-0-0_105075_2005-06-01_final
2006-12-08 10:23:23	ga_ls7e_ard_3-0-0_102081_2006-12-08_final
2007-03-17 09:17:48	ga_ls7e_ard_3-1-0_091086_2007-03-16_final
2007-05-04 10:52:12	ga_ls7e_ard_3-0-0_107075_2007-05-04_final
2007-05-25 09:36:30	ga_ls7e_ard_3-0-0_094087_2007-05-25_final
2007-05-27 10:55:49	ga_ls7e_ard_3-0-0_108069_2007-05-27_final
2007-10-02 10:55:17	ga_ls7e_ard_3-0-0_108069_2007-10-02_final
2008-01-06 10:55:54	ga_ls7e_ard_3-0-0_108069_2008-01-06_final
2008-02-28 11:13:30	ga_ls7e_ard_3-0-0_111067_2008-02-28_final
2008-07-12 09:40:02	ga_ls7e_ard_3-0-0_096067_2008-07-12_final
2008-12-19 09:40:07	ga_ls7e_ard_3-0-0_096067_2008-12-19_final
2009-01-25 10:00:04	ga_ls7e_ard_3-0-0_099070_2009-01-25_final
2009-06-08 09:28:52	ga_ls7e_ard_3-1-0_093083_2009-06-07_final
2009-07-15 09:40:55	ga_ls7e_ard_3-0-0_096067_2009-07-15_final
2010-05-21 10:47:41	ga_ls7e_ard_3-1-0_106075_2010-05-21_final
2010-07-28 10:25:29	ga_ls7e_ard_3-0-0_102081_2010-07-28_final
2010-09-18 09:58:26	ga_ls7e_ard_3-0-0_098075_2010-09-18_final
2011-02-27 11:25:47	ga_ls7e_ard_3-0-0_112074_2011-02-27_final
2011-03-04 10:03:28	ga_ls7e_ard_3-0-0_099069_2011-03-04_final
2012-06-10 11:45:58	ga_ls7e_ard_3-0-0_115076_2012-06-10_final
2012-06-13 10:40:25	ga_ls7e_ard_3-0-0_104082_2012-06-13_final
2012-12-15 10:35:55	ga_ls7e_ard_3-0-0_103082_2012-12-15_final
2013-02-25 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-02-25_final
2013-07-19 09:39:46	ga_ls7e_ard_3-0-0_095067_2013-07-19_final
2014-01-16 11:38:25	ga_ls7e_ard_3-0-0_114067_2014-01-16_final
2015-01-25 11:06:09	ga_ls7e_ard_3-0-0_108074_2015-01-25_final
2015-03-03 09:43:17	ga_ls7e_ard_3-0-0_095067_2015-03-03_final
2016-01-02 10:34:41	ga_ls7e_ard_3-0-0_102081_2016-01-02_final
2016-01-06 11:47:43	ga_ls7e_ard_3-0-0_114078_2016-01-06_final
2018-04-16 09:27:36	ga_ls7e_ard_3-0-0_091085_2018-04-15_final
2018-11-13 09:47:09	ga_ls7e_ard_3-0-0_096067_2018-11-13_final
2018-12-31 09:45:51	ga_ls7e_ard_3-0-0_096067_2018-12-31_final
2019-01-11 11:08:39	ga_ls7e_ard_3-0-0_109074_2019-01-11_final
2019-02-03 11:11:18	ga_ls7e_ard_3-0-0_110067_2019-02-03_final
2019-03-17 10:09:48	ga_ls7e_ard_3-1-0_100071_2019-03-17_final
2019-05-18 10:23:53	ga_ls7e_ard_3-0-0_102081_2019-05-18_final
2019-09-01 09:19:57	ga_ls7e_ard_3-1-0_092086_2019-08-31_final
2020-02-26 09:00:44	ga_ls7e_ard_3-1-0_090090_2020-02-25_final
2020-03-29 10:31:53	ga_ls7e_ard_3-1-0_106075_2020-03-29_final
2020-11-06 10:30:04	ga_ls7e_ard_3-1-0_108074_2020-11-06_final
2020-11-16 09:24:47	ga_ls7e_ard_3-1-0_098067_2020-11-15_final
2021-03-16 10:08:34	ga_ls7e_ard_3-2-0_106075_2021-03-16_final
2021-05-12 09:58:04	ga_ls7e_ard_3-2-0_105076_2021-05-12_final
2021-08-23 08:21:22	ga_ls7e_ard_3-2-0_090088_2021-08-22_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_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