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

89 results

Time (local)	Label
1999-07-13 11:18:29	ga_ls7e_ard_3-0-0_111073_1999-07-13_final
1999-11-14 10:04:01	ga_ls7e_ard_3-0-0_099072_1999-11-14_final
1999-12-08 10:57:04	ga_ls7e_ard_3-0-0_107081_1999-12-08_final
2000-02-28 10:41:39	ga_ls7e_ard_3-0-0_105074_2000-02-28_final
2001-01-08 10:18:31	ga_ls7e_ard_3-0-0_102068_2001-01-08_final
2001-06-30 09:46:55	ga_ls7e_ard_3-0-0_097069_2001-06-30_final
2001-07-05 10:09:04	ga_ls7e_ard_3-0-0_100078_2001-07-05_final
2001-07-14 10:00:05	ga_ls7e_ard_3-0-0_099071_2001-07-14_final
2002-11-12 09:27:54	ga_ls7e_ard_3-0-0_093087_2002-11-11_final
2003-03-15 10:44:19	ga_ls7e_ard_3-1-0_106075_2003-03-15_final
2003-05-02 10:44:21	ga_ls7e_ard_3-1-0_106075_2003-05-02_final
2003-05-16 10:56:39	ga_ls7e_ard_3-1-0_108075_2003-05-16_final
2003-08-25 09:39:35	ga_ls7e_ard_3-0-0_095084_2003-08-25_final
2003-10-26 09:45:56	ga_ls7e_ard_3-0-0_097069_2003-10-26_final
2003-11-08 09:22:42	ga_ls7e_ard_3-0-0_092088_2003-11-07_final
2003-12-18 10:08:06	ga_ls7e_ard_3-0-0_100077_2003-12-18_final
2004-06-04 09:59:02	ga_ls7e_ard_3-0-0_099069_2004-06-04_final
2004-08-25 11:29:13	ga_ls7e_ard_3-0-0_113079_2004-08-25_final
2004-10-03 09:58:18	ga_ls7e_ard_3-0-0_098084_2004-10-03_final
2004-11-07 10:24:46	ga_ls7e_ard_3-0-0_103072_2004-11-07_final
2004-11-08 11:07:14	ga_ls7e_ard_3-0-0_110070_2004-11-08_final
2004-12-16 10:35:13	ga_ls7e_ard_3-0-0_104082_2004-12-16_final
2005-02-12 11:07:53	ga_ls7e_ard_3-0-0_110070_2005-02-12_final
2005-02-24 09:53:48	ga_ls7e_ard_3-0-0_098070_2005-02-24_final
2005-05-24 11:31:38	ga_ls7e_ard_3-0-0_113083_2005-05-24_final
2005-10-29 10:00:26	ga_ls7e_ard_3-0-0_099072_2005-10-29_final
2005-10-29 11:40:55	ga_ls7e_ard_3-0-0_115076_2005-10-29_final
2006-02-22 11:16:10	ga_ls7e_ard_3-0-0_111074_2006-02-22_final
2006-06-10 09:59:33	ga_ls7e_ard_3-0-0_099068_2006-06-10_final
2006-09-22 10:49:39	ga_ls7e_ard_3-0-0_107071_2006-09-22_final
2007-09-10 09:57:34	ga_ls7e_ard_3-0-0_098079_2007-09-10_final
2007-09-28 11:19:14	ga_ls7e_ard_3-0-0_112067_2007-09-28_final
2008-04-04 09:17:25	ga_ls7e_ard_3-1-0_091086_2008-04-03_final
2008-04-13 09:11:13	ga_ls7e_ard_3-0-0_090086_2008-04-12_final
2008-07-27 10:39:05	ga_ls7e_ard_3-0-0_105076_2008-07-27_final
2008-10-10 10:17:27	ga_ls7e_ard_3-0-0_102070_2008-10-10_final
2008-12-05 11:13:17	ga_ls7e_ard_3-0-0_110084_2008-12-05_final
2009-02-03 09:53:32	ga_ls7e_ard_3-0-0_098069_2009-02-03_final
2009-02-11 09:11:45	ga_ls7e_ard_3-0-0_090088_2009-02-10_final
2009-06-10 09:16:54	ga_ls7e_ard_3-0-0_091084_2009-06-09_final
2009-09-10 11:16:15	ga_ls7e_ard_3-0-0_111074_2009-09-10_final
2009-11-02 09:53:23	ga_ls7e_ard_3-0-0_098067_2009-11-02_final
2010-03-04 10:34:29	ga_ls7e_ard_3-0-0_104073_2010-03-04_final
2010-05-13 10:01:52	ga_ls7e_ard_3-0-0_098084_2010-05-13_final
2011-01-06 10:10:08	ga_ls7e_ard_3-0-0_100071_2011-01-06_final
2011-02-10 09:06:20	ga_ls7e_ard_3-1-0_089081_2011-02-09_final
2011-02-15 11:04:34	ga_ls7e_ard_3-0-0_108083_2011-02-15_final
2011-02-26 10:40:07	ga_ls7e_ard_3-0-0_105068_2011-02-26_final
2011-07-18 09:21:35	ga_ls7e_ard_3-0-0_091088_2011-07-17_final
2011-08-14 09:00:32	ga_ls7e_ard_3-0-0_088082_2011-08-13_final
2011-10-12 10:17:54	ga_ls7e_ard_3-1-0_101075_2011-10-12_final
2011-11-15 10:04:17	ga_ls7e_ard_3-0-0_099071_2011-11-15_final
2011-12-03 11:29:24	ga_ls7e_ard_3-0-0_113067_2011-12-03_final
2012-01-24 09:34:25	ga_ls7e_ard_3-0-0_093088_2012-01-24_final
2012-03-06 10:03:37	ga_ls7e_ard_3-0-0_099068_2012-03-06_final
2012-05-13 11:20:24	ga_ls7e_ard_3-0-0_111073_2012-05-13_final
2012-10-26 09:09:32	ga_ls7e_ard_3-0-0_089083_2012-10-25_final
2012-11-08 10:12:45	ga_ls7e_ard_3-0-0_100071_2012-11-08_final
2013-04-07 11:13:09	ga_ls7e_ard_3-0-0_110067_2013-04-07_final
2013-07-20 10:27:49	ga_ls7e_ard_3-0-0_102079_2013-07-20_final
2013-11-20 10:06:06	ga_ls7e_ard_3-0-0_099069_2013-11-20_final
2013-12-06 10:06:16	ga_ls7e_ard_3-0-0_099069_2013-12-06_final
2014-03-28 10:08:04	ga_ls7e_ard_3-0-0_099072_2014-03-28_final
2014-04-22 10:04:30	ga_ls7e_ard_3-0-0_098078_2014-04-22_final
2014-06-20 09:43:49	ga_ls7e_ard_3-0-0_095072_2014-06-20_final
2015-03-25 09:15:09	ga_ls7e_ard_3-0-0_089089_2015-03-24_final
2015-09-02 09:52:01	ga_ls7e_ard_3-0-0_096071_2015-09-02_final
2016-01-10 11:20:40	ga_ls7e_ard_3-1-0_110072_2016-01-10_final
2016-01-30 09:24:29	ga_ls7e_ard_3-0-0_090090_2016-01-29_final
2016-04-09 10:21:30	ga_ls7e_ard_3-0-0_100077_2016-04-09_final
2016-09-22 11:26:38	ga_ls7e_ard_3-0-0_110084_2016-09-22_final
2016-09-26 10:58:44	ga_ls7e_ard_3-0-0_106076_2016-09-26_final
2016-11-20 09:29:24	ga_ls7e_ard_3-0-0_091085_2016-11-19_final
2017-04-17 10:37:00	ga_ls7e_ard_3-0-0_103069_2017-04-17_final
2017-11-10 09:54:24	ga_ls7e_ard_3-0-0_096070_2017-11-10_final
2018-01-03 09:24:26	ga_ls7e_ard_3-0-0_090089_2018-01-02_final
2019-01-25 09:46:27	ga_ls7e_ard_3-0-0_095086_2019-01-25_final
2019-03-04 10:45:30	ga_ls7e_ard_3-1-0_105082_2019-03-04_final
2019-04-19 10:55:30	ga_ls7e_ard_3-0-0_107080_2019-04-19_final
2019-05-13 10:04:45	ga_ls7e_ard_3-0-0_099079_2019-05-13_final
2019-05-22 09:54:13	ga_ls7e_ard_3-0-0_098069_2019-05-22_final
2019-06-13 10:57:38	ga_ls7e_ard_3-1-0_108075_2019-06-13_final
2019-12-27 09:27:34	ga_ls7e_ard_3-1-0_095072_2019-12-26_final
2020-01-23 10:47:44	ga_ls7e_ard_3-1-0_108075_2020-01-23_final
2020-06-27 09:28:20	ga_ls7e_ard_3-1-0_096084_2020-06-26_final
2020-08-24 09:55:50	ga_ls7e_ard_3-1-0_102069_2020-08-24_final
2021-01-19 09:21:46	ga_ls7e_ard_3-1-0_098071_2021-01-18_final
2022-02-23 08:49:30	ga_ls7e_ard_3-2-1_098078_2022-02-22_final
2022-03-18 10:31:05	ga_ls7e_ard_3-2-1_115075_2022-03-18_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