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

91 results

Time (local)	Label
1999-07-08 09:25:01	ga_ls7e_ard_3-1-0_092083_1999-07-07_final
1999-08-09 10:58:27	ga_ls7e_ard_3-0-0_108069_1999-08-09_final
1999-12-11 09:43:32	ga_ls7e_ard_3-0-0_096067_1999-12-11_final
2000-01-25 10:54:34	ga_ls7e_ard_3-0-0_107075_2000-01-25_final
2000-04-05 10:59:58	ga_ls7e_ard_3-0-0_108074_2000-04-05_final
2000-06-01 10:53:41	ga_ls7e_ard_3-0-0_107075_2000-06-01_final
2000-10-03 11:16:31	ga_ls7e_ard_3-0-0_111074_2000-10-03_final
2000-11-11 09:40:55	ga_ls7e_ard_3-0-0_096067_2000-11-11_final
2000-11-15 10:55:53	ga_ls7e_ard_3-0-0_108069_2000-11-15_final
2000-12-08 09:30:46	ga_ls7e_ard_3-0-0_093088_2000-12-08_final
2001-07-09 09:39:57	ga_ls7e_ard_3-0-0_096067_2001-07-09_final
2002-05-31 10:44:36	ga_ls7e_ard_3-0-0_106076_2002-05-31_final
2002-06-10 09:39:08	ga_ls7e_ard_3-0-0_096067_2002-06-10_final
2002-08-17 10:53:43	ga_ls7e_ard_3-0-0_108069_2002-08-17_final
2002-12-10 09:52:11	ga_ls7e_ard_3-0-0_097085_2002-12-10_final
2003-03-25 09:39:13	ga_ls7e_ard_3-0-0_096067_2003-03-25_final
2003-04-14 10:54:18	ga_ls7e_ard_3-0-0_108069_2003-04-14_final
2003-08-11 09:23:38	ga_ls7e_ard_3-0-0_093075_2003-08-10_final
2003-12-03 10:48:26	ga_ls7e_ard_3-0-0_107070_2003-12-03_final
2004-01-11 09:17:59	ga_ls7e_ard_3-0-0_092075_2004-01-10_final
2004-03-07 10:08:30	ga_ls7e_ard_3-0-0_100077_2004-03-07_final
2004-03-31 10:54:49	ga_ls7e_ard_3-0-0_108069_2004-03-31_final
2004-05-28 11:30:59	ga_ls7e_ard_3-0-0_114067_2004-05-28_final
2004-11-28 10:45:04	ga_ls7e_ard_3-0-0_106076_2004-11-28_final
2004-12-14 09:10:17	ga_ls7e_ard_3-0-0_090086_2004-12-13_final
2005-02-15 10:03:07	ga_ls7e_ard_3-0-0_099078_2005-02-15_final
2005-04-25 10:18:25	ga_ls7e_ard_3-0-0_102070_2005-04-25_final
2006-06-10 10:00:21	ga_ls7e_ard_3-0-0_099070_2006-06-10_final
2006-07-07 11:22:07	ga_ls7e_ard_3-0-0_112074_2006-07-07_final
2007-01-15 09:40:48	ga_ls7e_ard_3-0-0_096067_2007-01-15_final
2007-01-24 09:34:41	ga_ls7e_ard_3-0-0_095067_2007-01-24_final
2007-01-24 09:42:16	ga_ls7e_ard_3-0-0_095086_2007-01-24_final
2007-06-12 09:23:43	ga_ls7e_ard_3-0-0_092086_2007-06-11_final
2007-07-05 09:28:40	ga_ls7e_ard_3-1-0_093083_2007-07-04_final
2007-08-22 09:30:01	ga_ls7e_ard_3-1-0_093087_2007-08-22_final
2008-02-20 10:24:54	ga_ls7e_ard_3-0-0_103069_2008-02-20_final
2009-04-15 10:05:51	ga_ls7e_ard_3-0-0_099083_2009-04-15_final
2009-05-03 09:53:58	ga_ls7e_ard_3-0-0_097084_2009-05-03_final
2009-08-13 09:17:02	ga_ls7e_ard_3-0-0_091085_2009-08-12_final
2009-08-16 09:40:45	ga_ls7e_ard_3-0-0_096067_2009-08-16_final
2010-03-11 09:08:13	ga_ls7e_ard_3-0-0_089089_2010-03-10_final
2010-05-25 10:25:46	ga_ls7e_ard_3-0-0_102082_2010-05-25_final
2010-07-20 11:13:19	ga_ls7e_ard_3-0-0_110077_2010-07-20_final
2011-01-17 09:54:04	ga_ls7e_ard_3-0-0_097077_2011-01-17_final
2011-12-15 10:19:40	ga_ls7e_ard_3-0-0_101078_2011-12-15_final
2012-06-30 09:38:58	ga_ls7e_ard_3-0-0_095067_2012-06-30_final
2012-07-12 10:10:15	ga_ls7e_ard_3-0-0_099083_2012-07-12_final
2012-07-22 10:44:39	ga_ls7e_ard_3-0-0_105076_2012-07-22_final
2012-07-24 10:34:43	ga_ls7e_ard_3-0-0_103082_2012-07-24_final
2012-10-11 09:46:15	ga_ls7e_ard_3-0-0_096067_2012-10-11_final
2013-07-16 09:15:40	ga_ls7e_ard_3-0-0_090084_2013-07-15_final
2013-08-15 09:27:08	ga_ls7e_ard_3-0-0_092082_2013-08-14_final
2013-09-28 09:53:56	ga_ls7e_ard_3-1-0_096086_2013-09-28_final
2013-11-17 09:42:23	ga_ls7e_ard_3-0-0_094087_2013-11-17_final
2013-12-05 09:27:00	ga_ls7e_ard_3-0-0_092079_2013-12-04_final
2013-12-23 10:51:57	ga_ls7e_ard_3-1-0_106075_2013-12-23_final
2014-04-05 09:22:15	ga_ls7e_ard_3-0-0_091081_2014-04-04_final
2014-05-20 10:31:00	ga_ls7e_ard_3-0-0_102082_2014-05-20_final
2014-08-28 11:45:02	ga_ls7e_ard_3-0-0_114081_2014-08-28_final
2015-05-19 10:55:26	ga_ls7e_ard_3-0-0_106076_2015-05-19_final
2015-09-09 11:40:20	ga_ls7e_ard_3-0-0_113079_2015-09-09_final
2016-01-09 10:39:47	ga_ls7e_ard_3-0-0_103078_2016-01-09_final
2016-03-19 10:05:16	ga_ls7e_ard_3-0-0_097083_2016-03-19_final
2016-03-26 10:11:29	ga_ls7e_ard_3-0-0_098083_2016-03-26_final
2016-05-10 09:42:49	ga_ls7e_ard_3-0-0_093088_2016-05-10_final
2016-06-24 10:45:23	ga_ls7e_ard_3-0-0_104074_2016-06-24_final
2016-08-21 11:26:32	ga_ls7e_ard_3-0-0_110084_2016-08-21_final
2017-02-25 10:06:35	ga_ls7e_ard_3-0-0_098071_2017-02-25_final
2017-05-26 10:44:57	ga_ls7e_ard_3-0-0_104073_2017-05-26_final
2017-06-21 09:47:39	ga_ls7e_ard_3-0-0_094084_2017-06-21_final
2017-11-09 10:49:14	ga_ls7e_ard_3-0-0_105068_2017-11-09_final
2017-11-15 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-11-15_final
2018-07-24 11:28:27	ga_ls7e_ard_3-0-0_112067_2018-07-24_final
2018-08-08 10:48:30	ga_ls7e_ard_3-0-0_105076_2018-08-08_final
2018-09-16 10:53:29	ga_ls7e_ard_3-1-0_106075_2018-09-16_final
2018-12-13 10:05:31	ga_ls7e_ard_3-0-0_098084_2018-12-13_final
2019-01-02 11:14:42	ga_ls7e_ard_3-0-0_110073_2019-01-02_final
2019-01-05 10:05:26	ga_ls7e_ard_3-0-0_099070_2019-01-05_final
2019-01-15 10:42:12	ga_ls7e_ard_3-0-0_105070_2019-01-15_final
2019-01-27 11:07:19	ga_ls7e_ard_3-0-0_109072_2019-01-27_final
2019-03-28 09:51:17	ga_ls7e_ard_3-1-0_097072_2019-03-28_final
2019-08-07 09:27:59	ga_ls7e_ard_3-0-0_093088_2019-08-06_final
2019-10-20 09:57:55	ga_ls7e_ard_3-1-0_099078_2019-10-20_final
2020-01-18 10:31:50	ga_ls7e_ard_3-1-0_105081_2020-01-18_final
2020-03-21 09:46:29	ga_ls7e_ard_3-1-0_098084_2020-03-21_final
2021-01-21 09:08:52	ga_ls7e_ard_3-2-0_096070_2021-01-20_final
2021-02-05 08:28:06	ga_ls7e_ard_3-2-0_089079_2021-02-04_final
2021-02-27 09:30:14	ga_ls7e_ard_3-2-0_099084_2021-02-27_final
2021-06-30 08:54:46	ga_ls7e_ard_3-2-0_096067_2021-06-29_final
2021-09-29 08:33:51	ga_ls7e_ard_3-2-0_093081_2021-09-28_final
2021-11-07 08:34:55	ga_ls7e_ard_3-2-0_094077_2021-11-06_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