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

70 results

Time (local)	Label
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2000-04-21 09:26:32	ga_ls7e_ard_3-0-0_092088_2000-04-20_final
2001-08-13 10:14:22	ga_ls7e_ard_3-0-0_101077_2001-08-13_final
2002-03-15 09:35:40	ga_ls7e_ard_3-1-0_095073_2002-03-15_final
2002-05-10 10:28:15	ga_ls7e_ard_3-0-0_103081_2002-05-10_final
2003-04-15 09:59:05	ga_ls7e_ard_3-0-0_099070_2003-04-15_final
2004-01-10 10:12:48	ga_ls7e_ard_3-0-0_101073_2004-01-10_final
2004-03-13 11:07:33	ga_ls7e_ard_3-0-0_110070_2004-03-13_final
2004-10-07 11:08:24	ga_ls7e_ard_3-0-0_110074_2004-10-07_final
2004-10-16 11:02:45	ga_ls7e_ard_3-0-0_109075_2004-10-16_final
2005-02-26 11:21:56	ga_ls7e_ard_3-0-0_112074_2005-02-26_final
2005-03-22 10:35:43	ga_ls7e_ard_3-0-0_104082_2005-03-22_final
2005-05-03 11:12:41	ga_ls7e_ard_3-0-0_110082_2005-05-03_final
2005-06-18 11:18:54	ga_ls7e_ard_3-0-0_112067_2005-06-18_final
2005-09-28 09:06:34	ga_ls7e_ard_3-0-0_090077_2005-09-27_final
2005-10-01 11:14:21	ga_ls7e_ard_3-0-0_111072_2005-10-01_final
2005-11-05 10:06:18	ga_ls7e_ard_3-0-0_100071_2005-11-05_final
2006-02-07 10:18:06	ga_ls7e_ard_3-0-0_102068_2006-02-07_final
2006-09-19 10:19:35	ga_ls7e_ard_3-0-0_102073_2006-09-19_final
2006-09-24 10:38:53	ga_ls7e_ard_3-0-0_105075_2006-09-24_final
2006-11-10 09:56:48	ga_ls7e_ard_3-0-0_098077_2006-11-10_final
2006-12-04 10:45:41	ga_ls7e_ard_3-1-0_106075_2006-12-04_final
2007-02-12 10:09:43	ga_ls7e_ard_3-0-0_100077_2007-02-12_final
2007-04-26 10:00:48	ga_ls7e_ard_3-0-0_099070_2007-04-26_final
2007-05-13 10:43:10	ga_ls7e_ard_3-0-0_106068_2007-05-13_final
2007-12-29 10:07:39	ga_ls7e_ard_3-0-0_100072_2007-12-29_final
2008-08-18 10:02:16	ga_ls7e_ard_3-0-0_099077_2008-08-18_final
2009-01-27 09:49:43	ga_ls7e_ard_3-0-0_097075_2009-01-27_final
2009-02-04 10:38:47	ga_ls7e_ard_3-0-0_105074_2009-02-04_final
2010-06-23 11:33:48	ga_ls7e_ard_3-0-0_113082_2010-06-23_final
2010-08-05 09:36:49	ga_ls7e_ard_3-0-0_094083_2010-08-05_final
2011-01-10 09:51:02	ga_ls7e_ard_3-0-0_096085_2011-01-10_final
2011-06-16 09:22:03	ga_ls7e_ard_3-0-0_091089_2011-06-15_final
2011-06-17 10:03:19	ga_ls7e_ard_3-0-0_098084_2011-06-17_final
2011-09-16 09:39:41	ga_ls7e_ard_3-0-0_095072_2011-09-16_final
2011-11-08 09:58:25	ga_ls7e_ard_3-0-0_098072_2011-11-08_final
2011-12-01 10:06:51	ga_ls7e_ard_3-0-0_099077_2011-12-01_final
2012-06-26 10:04:01	ga_ls7e_ard_3-0-0_099068_2012-06-26_final
2012-08-23 09:11:19	ga_ls7e_ard_3-0-0_089089_2012-08-22_final
2013-01-29 10:00:45	ga_ls7e_ard_3-0-0_098071_2013-01-29_final
2013-07-17 09:52:56	ga_ls7e_ard_3-0-0_097069_2013-07-17_final
2014-02-21 11:15:01	ga_ls7e_ard_3-0-0_110070_2014-02-21_final
2014-03-02 09:28:48	ga_ls7e_ard_3-0-0_093067_2014-03-01_final
2014-07-26 09:22:04	ga_ls7e_ard_3-0-0_091079_2014-07-25_final
2014-12-19 10:45:08	ga_ls7e_ard_3-0-0_105068_2014-12-19_final
2015-04-16 10:09:33	ga_ls7e_ard_3-0-0_099070_2015-04-16_final
2015-10-09 10:13:35	ga_ls7e_ard_3-0-0_099078_2015-10-09_final
2015-10-22 11:17:26	ga_ls7e_ard_3-0-0_110067_2015-10-22_final
2015-10-25 11:52:46	ga_ls7e_ard_3-0-0_115078_2015-10-25_final
2016-06-10 10:35:48	ga_ls7e_ard_3-0-0_102081_2016-06-10_final
2016-11-01 10:35:55	ga_ls7e_ard_3-0-0_102081_2016-11-01_final
2017-03-18 10:28:04	ga_ls7e_ard_3-0-0_101078_2017-03-18_final
2017-07-01 10:22:21	ga_ls7e_ard_3-0-0_100078_2017-07-01_final
2018-01-02 10:15:16	ga_ls7e_ard_3-0-0_099077_2018-01-02_final
2018-01-22 11:26:45	ga_ls7e_ard_3-0-0_111071_2018-01-22_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2018-07-12 09:33:25	ga_ls7e_ard_3-0-0_092088_2018-07-12_final
2018-11-02 11:49:37	ga_ls7e_ard_3-0-0_115079_2018-11-02_final
2019-02-22 10:04:21	ga_ls7e_ard_3-1-0_099071_2019-02-22_final
2019-03-29 10:37:18	ga_ls7e_ard_3-1-0_104079_2019-03-29_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-04-21 10:40:40	ga_ls7e_ard_3-0-0_105074_2019-04-21_final
2019-07-31 10:54:11	ga_ls7e_ard_3-0-0_108071_2019-07-31_final
2020-01-02 08:52:34	ga_ls7e_ard_3-1-0_089078_2020-01-01_final
2020-05-30 09:06:27	ga_ls7e_ard_3-1-0_092087_2020-05-29_final
2020-07-06 09:14:50	ga_ls7e_ard_3-1-0_095067_2020-07-05_final
2021-06-01 09:34:01	ga_ls7e_ard_3-2-0_101082_2021-06-01_final
2021-10-06 10:19:30	ga_ls7e_ard_3-2-0_110084_2021-10-06_final
2022-01-06 08:53:49	ga_ls7e_ard_3-2-1_098077_2022-01-05_final
2022-01-13 08:59:44	ga_ls7e_ard_3-2-1_099078_2022-01-12_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