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

79 results

Time (local)	Label
2000-07-04 11:37:02	ga_ls7e_ard_3-0-0_114076_2000-07-04_final
2000-09-13 10:03:22	ga_ls7e_ard_3-0-0_099076_2000-09-13_final
2001-01-23 11:15:49	ga_ls7e_ard_3-0-0_111072_2001-01-23_final
2001-11-10 10:05:21	ga_ls7e_ard_3-0-0_100071_2001-11-10_final
2001-12-06 10:41:18	ga_ls7e_ard_3-0-0_106068_2001-12-06_final
2001-12-21 11:40:17	ga_ls7e_ard_3-0-0_115076_2001-12-21_final
2003-07-23 10:31:45	ga_ls7e_ard_3-0-0_104075_2003-07-23_final
2004-01-22 10:38:25	ga_ls7e_ard_3-0-0_105075_2004-01-22_final
2004-05-04 10:42:22	ga_ls7e_ard_3-0-0_106069_2004-05-04_final
2004-10-01 10:05:53	ga_ls7e_ard_3-0-0_100072_2004-10-01_final
2005-03-14 11:21:58	ga_ls7e_ard_3-0-0_112074_2005-03-14_final
2005-03-21 09:50:51	ga_ls7e_ard_3-0-0_097078_2005-03-21_final
2005-04-04 09:59:58	ga_ls7e_ard_3-0-0_099070_2005-04-04_final
2005-05-30 09:13:15	ga_ls7e_ard_3-0-0_091077_2005-05-29_final
2005-06-07 11:41:31	ga_ls7e_ard_3-1-0_115077_2005-06-07_final
2005-06-20 11:09:44	ga_ls7e_ard_3-0-0_110075_2005-06-20_final
2005-08-14 11:15:01	ga_ls7e_ard_3-0-0_111073_2005-08-14_final
2005-11-02 11:15:03	ga_ls7e_ard_3-0-0_111073_2005-11-02_final
2006-04-07 09:59:35	ga_ls7e_ard_3-0-0_099068_2006-04-07_final
2006-04-12 10:23:17	ga_ls7e_ard_3-0-0_102081_2006-04-12_final
2006-04-23 11:41:13	ga_ls7e_ard_3-0-0_115075_2006-04-23_final
2006-11-12 11:25:45	ga_ls7e_ard_3-0-0_112083_2006-11-12_final
2007-04-28 09:48:02	ga_ls7e_ard_3-0-0_097069_2007-04-28_final
2007-05-12 11:42:47	ga_ls7e_ard_3-0-0_115078_2007-05-12_final
2007-12-04 10:14:56	ga_ls7e_ard_3-1-0_101075_2007-12-04_final
2008-01-22 09:23:48	ga_ls7e_ard_3-0-0_092086_2008-01-21_final
2008-12-08 10:03:20	ga_ls7e_ard_3-0-0_099079_2008-12-08_final
2008-12-22 10:14:14	ga_ls7e_ard_3-1-0_101075_2008-12-22_final
2009-02-18 09:15:12	ga_ls7e_ard_3-0-0_091081_2009-02-17_final
2009-02-18 09:15:36	ga_ls7e_ard_3-0-0_091082_2009-02-17_final
2009-04-16 09:11:26	ga_ls7e_ard_3-0-0_090086_2009-04-15_final
2009-05-27 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-05-26_final
2009-12-27 10:02:20	ga_ls7e_ard_3-0-0_099072_2009-12-27_final
2010-01-28 11:44:30	ga_ls7e_ard_3-0-0_115079_2010-01-28_final
2010-03-21 11:17:51	ga_ls7e_ard_3-0-0_111073_2010-03-21_final
2010-08-01 11:34:03	ga_ls7e_ard_3-0-0_114067_2010-08-01_final
2010-08-02 09:03:56	ga_ls7e_ard_3-0-0_089078_2010-08-01_final
2011-07-08 10:21:24	ga_ls7e_ard_3-0-0_101083_2011-07-08_final
2011-12-24 10:13:14	ga_ls7e_ard_3-0-0_100077_2011-12-24_final
2012-03-29 10:11:01	ga_ls7e_ard_3-0-0_100071_2012-03-29_final
2012-05-15 11:08:04	ga_ls7e_ard_3-0-0_109073_2012-05-15_final
2012-07-13 09:15:51	ga_ls7e_ard_3-0-0_090086_2012-07-12_final
2012-09-06 09:23:02	ga_ls7e_ard_3-0-0_091087_2012-09-05_final
2012-10-24 10:58:47	ga_ls7e_ard_3-0-0_107078_2012-10-24_final
2013-03-10 09:18:26	ga_ls7e_ard_3-0-0_090089_2013-03-09_final
2013-12-06 10:06:40	ga_ls7e_ard_3-0-0_099070_2013-12-06_final
2014-03-16 09:41:17	ga_ls7e_ard_3-0-0_095067_2014-03-16_final
2014-04-09 10:34:49	ga_ls7e_ard_3-0-0_103077_2014-04-09_final
2014-05-22 10:18:39	ga_ls7e_ard_3-0-0_100082_2014-05-22_final
2014-12-28 10:38:57	ga_ls7e_ard_3-0-0_104068_2014-12-28_final
2015-07-14 10:03:05	ga_ls7e_ard_3-0-0_098068_2015-07-14_final
2015-10-29 09:47:13	ga_ls7e_ard_3-1-0_095073_2015-10-29_final
2015-11-27 09:21:10	ga_ls7e_ard_3-0-0_090084_2015-11-26_final
2015-12-08 10:39:17	ga_ls7e_ard_3-0-0_103078_2015-12-08_final
2016-01-13 10:12:19	ga_ls7e_ard_3-0-0_099071_2016-01-13_final
2016-07-17 09:14:41	ga_ls7e_ard_3-0-0_089079_2016-07-16_final
2016-11-29 10:55:18	ga_ls7e_ard_3-0-0_106068_2016-11-29_final
2017-01-31 10:11:56	ga_ls7e_ard_3-0-0_099069_2017-01-31_final
2017-05-05 10:29:56	ga_ls7e_ard_3-0-0_101082_2017-05-05_final
2017-05-07 10:16:23	ga_ls7e_ard_3-0-0_099079_2017-05-07_final
2017-06-03 11:34:50	ga_ls7e_ard_3-0-0_112074_2017-06-03_final
2017-06-12 11:27:30	ga_ls7e_ard_3-0-0_111071_2017-06-12_final
2017-07-10 11:53:52	ga_ls7e_ard_3-0-0_115075_2017-07-10_final
2019-01-23 11:32:59	ga_ls7e_ard_3-0-0_113074_2019-01-23_final
2019-03-20 09:04:06	ga_ls7e_ard_3-1-0_089077_2019-03-19_final
2019-04-20 09:55:51	ga_ls7e_ard_3-0-0_098070_2019-04-20_final
2019-05-22 09:54:13	ga_ls7e_ard_3-0-0_098069_2019-05-22_final
2019-07-06 11:02:57	ga_ls7e_ard_3-0-0_109075_2019-07-06_final
2019-11-25 11:08:03	ga_ls7e_ard_3-1-0_111072_2019-11-25_final
2020-03-30 09:39:47	ga_ls7e_ard_3-1-0_097084_2020-03-30_final
2020-11-20 10:39:51	ga_ls7e_ard_3-1-0_110070_2020-11-20_final
2020-12-07 09:43:24	ga_ls7e_ard_3-1-0_101071_2020-12-07_final
2021-02-19 10:19:29	ga_ls7e_ard_3-2-0_107082_2021-02-19_final
2021-04-24 10:13:55	ga_ls7e_ard_3-2-0_107081_2021-04-24_final
2021-05-12 09:55:16	ga_ls7e_ard_3-2-0_105069_2021-05-12_final
2021-08-16 08:12:12	ga_ls7e_ard_3-2-0_089079_2021-08-15_final
2021-08-16 09:49:53	ga_ls7e_ard_3-2-0_105076_2021-08-16_final
2021-08-20 09:25:13	ga_ls7e_ard_3-2-0_101077_2021-08-19_final
2021-12-22 08:00:06	ga_ls7e_ard_3-2-1_089078_2021-12-21_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