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

88 results

Time (local)	Label
1999-10-14 10:46:35	ga_ls7e_ard_3-0-0_106070_1999-10-14_final
2001-03-08 10:01:04	ga_ls7e_ard_3-0-0_099071_2001-03-08_final
2001-06-16 09:36:22	ga_ls7e_ard_3-1-0_095073_2001-06-16_final
2002-10-21 09:58:07	ga_ls7e_ard_3-0-0_099070_2002-10-21_final
2003-02-17 10:07:59	ga_ls7e_ard_3-0-0_100077_2003-02-17_final
2003-07-19 09:22:00	ga_ls7e_ard_3-0-0_092086_2003-07-18_final
2003-08-06 10:45:57	ga_ls7e_ard_3-0-0_106080_2003-08-06_final
2003-09-29 10:07:53	ga_ls7e_ard_3-0-0_100078_2003-09-29_final
2003-12-07 10:28:09	ga_ls7e_ard_3-0-0_103081_2003-12-07_final
2004-01-04 09:12:36	ga_ls7e_ard_3-0-0_091077_2004-01-03_final
2004-01-28 11:41:28	ga_ls7e_ard_3-0-0_115078_2004-01-28_final
2004-06-12 09:12:20	ga_ls7e_ard_3-0-0_091076_2004-06-11_final
2004-09-18 09:01:56	ga_ls7e_ard_3-0-0_089082_2004-09-17_final
2004-12-06 09:53:18	ga_ls7e_ard_3-0-0_098070_2004-12-06_final
2005-05-05 09:19:04	ga_ls7e_ard_3-0-0_092076_2005-05-04_final
2005-10-07 09:01:06	ga_ls7e_ard_3-0-0_089079_2005-10-06_final
2006-03-08 09:49:40	ga_ls7e_ard_3-0-0_097074_2006-03-08_final
2006-06-18 09:18:51	ga_ls7e_ard_3-0-0_091090_2006-06-17_final
2006-09-13 09:23:48	ga_ls7e_ard_3-0-0_092088_2006-09-12_final
2006-09-23 09:53:14	ga_ls7e_ard_3-0-0_098069_2006-09-23_final
2006-11-14 09:30:32	ga_ls7e_ard_3-0-0_094073_2006-11-14_final
2007-02-15 09:06:32	ga_ls7e_ard_3-0-0_089089_2007-02-14_final
2007-04-14 09:36:55	ga_ls7e_ard_3-0-0_095072_2007-04-14_final
2007-07-15 10:03:19	ga_ls7e_ard_3-0-0_099077_2007-07-15_final
2007-09-10 09:57:11	ga_ls7e_ard_3-0-0_098078_2007-09-10_final
2007-10-07 09:40:52	ga_ls7e_ard_3-0-0_095084_2007-10-07_final
2008-03-08 11:12:51	ga_ls7e_ard_3-0-0_110081_2008-03-08_final
2008-07-15 10:16:52	ga_ls7e_ard_3-0-0_101082_2008-07-15_final
2008-08-02 10:03:10	ga_ls7e_ard_3-0-0_099079_2008-08-02_final
2008-12-24 09:58:42	ga_ls7e_ard_3-0-0_099067_2008-12-24_final
2009-04-11 10:24:34	ga_ls7e_ard_3-0-0_103068_2009-04-11_final
2009-05-11 10:42:37	ga_ls7e_ard_3-0-0_105082_2009-05-11_final
2009-08-27 11:04:42	ga_ls7e_ard_3-0-0_109076_2009-08-27_final
2009-11-10 09:13:14	ga_ls7e_ard_3-0-0_090090_2009-11-09_final
2009-12-27 11:42:25	ga_ls7e_ard_3-0-0_115075_2009-12-27_final
2010-10-25 10:15:34	ga_ls7e_ard_3-0-0_101071_2010-10-25_final
2011-03-26 11:07:42	ga_ls7e_ard_3-0-0_109075_2011-03-26_final
2011-08-01 11:07:11	ga_ls7e_ard_3-0-0_109074_2011-08-01_final
2011-12-24 10:13:14	ga_ls7e_ard_3-0-0_100077_2011-12-24_final
2012-07-17 10:28:04	ga_ls7e_ard_3-0-0_102081_2012-07-17_final
2012-10-13 11:14:48	ga_ls7e_ard_3-1-0_110072_2012-10-13_final
2012-12-15 10:35:55	ga_ls7e_ard_3-0-0_103082_2012-12-15_final
2013-12-30 10:58:59	ga_ls7e_ard_3-0-0_107077_2013-12-30_final
2014-03-16 11:26:57	ga_ls7e_ard_3-0-0_111084_2014-03-16_final
2014-03-28 10:10:28	ga_ls7e_ard_3-0-0_099078_2014-03-28_final
2014-05-22 10:19:03	ga_ls7e_ard_3-0-0_100083_2014-05-22_final
2014-06-09 10:04:45	ga_ls7e_ard_3-0-0_098078_2014-06-09_final
2014-06-16 10:10:31	ga_ls7e_ard_3-0-0_099077_2014-06-16_final
2014-09-30 09:13:57	ga_ls7e_ard_3-1-0_089089_2014-09-29_final
2014-10-31 11:39:59	ga_ls7e_ard_3-0-0_114067_2014-10-31_final
2015-03-30 09:32:54	ga_ls7e_ard_3-0-0_092087_2015-03-30_final
2015-04-16 10:12:20	ga_ls7e_ard_3-0-0_099077_2015-04-16_final
2015-06-05 11:35:13	ga_ls7e_ard_3-0-0_113067_2015-06-05_final
2015-07-26 10:33:01	ga_ls7e_ard_3-0-0_102081_2015-07-26_final
2015-08-10 11:25:55	ga_ls7e_ard_3-0-0_111074_2015-08-10_final
2015-09-07 10:13:24	ga_ls7e_ard_3-0-0_099078_2015-09-07_final
2015-11-03 10:07:25	ga_ls7e_ard_3-0-0_098077_2015-11-03_final
2016-01-13 11:54:24	ga_ls7e_ard_3-0-0_115079_2016-01-13_final
2016-06-05 10:16:02	ga_ls7e_ard_3-0-0_099078_2016-06-05_final
2016-07-17 09:14:41	ga_ls7e_ard_3-0-0_089079_2016-07-16_final
2017-04-28 10:22:07	ga_ls7e_ard_3-0-0_100078_2017-04-28_final
2017-08-24 11:26:30	ga_ls7e_ard_3-0-0_110084_2017-08-24_final
2017-10-03 10:35:51	ga_ls7e_ard_3-0-0_102081_2017-10-03_final
2017-10-18 11:25:56	ga_ls7e_ard_3-0-0_111067_2017-10-18_final
2017-11-06 10:22:43	ga_ls7e_ard_3-0-0_100079_2017-11-06_final
2018-02-08 10:30:27	ga_ls7e_ard_3-0-0_102070_2018-02-08_final
2018-02-15 10:37:22	ga_ls7e_ard_3-0-0_103072_2018-02-15_final
2018-03-27 11:26:20	ga_ls7e_ard_3-0-0_111072_2018-03-27_final
2018-07-27 10:24:24	ga_ls7e_ard_3-0-0_101077_2018-07-27_final
2019-02-04 10:19:38	ga_ls7e_ard_3-0-0_101077_2019-02-04_final
2019-06-14 10:00:23	ga_ls7e_ard_3-0-0_099071_2019-06-14_final
2020-04-03 09:15:39	ga_ls7e_ard_3-1-0_093086_2020-04-02_final
2020-05-19 10:56:34	ga_ls7e_ard_3-1-0_111067_2020-05-19_final
2020-06-05 10:05:55	ga_ls7e_ard_3-1-0_102082_2020-06-05_final
2020-06-11 09:25:18	ga_ls7e_ard_3-1-0_096074_2020-06-10_final
2020-06-20 09:15:48	ga_ls7e_ard_3-1-0_095067_2020-06-19_final
2020-06-30 09:58:16	ga_ls7e_ard_3-1-0_101082_2020-06-30_final
2020-10-12 09:03:25	ga_ls7e_ard_3-1-0_093085_2020-10-11_final
2020-11-16 09:25:11	ga_ls7e_ard_3-1-0_098068_2020-11-15_final
2021-04-09 09:14:47	ga_ls7e_ard_3-2-0_098069_2021-04-08_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_final
2021-09-18 10:33:28	ga_ls7e_ard_3-2-0_112084_2021-09-18_final
2021-10-05 09:35:08	ga_ls7e_ard_3-2-0_103081_2021-10-05_final
2021-12-11 08:24:05	ga_ls7e_ard_3-2-1_092089_2021-12-10_final
2022-01-29 08:54:12	ga_ls7e_ard_3-2-1_099068_2022-01-28_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-02-28 09:04:46	ga_ls7e_ard_3-2-1_101071_2022-02-27_final
2022-03-07 09:14:40	ga_ls7e_ard_3-2-1_102082_2022-03-06_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