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

First 100 results (query limit)

Time (local)	Label
1999-08-11 10:48:29	ga_ls7e_ard_3-1-0_106075_1999-08-11_final
2000-05-09 10:47:43	ga_ls7e_ard_3-1-0_106075_2000-05-09_final
2001-04-06 09:28:16	ga_ls7e_ard_3-1-0_094067_2001-04-05_final
2001-06-15 10:30:48	ga_ls7e_ard_3-1-0_104070_2001-06-15_final
2001-07-28 10:13:53	ga_ls7e_ard_3-1-0_101075_2001-07-28_final
2001-11-13 09:01:23	ga_ls7e_ard_3-1-0_089081_2001-11-12_final
2001-12-19 10:13:19	ga_ls7e_ard_3-1-0_101075_2001-12-19_final
2001-12-25 11:17:58	ga_ls7e_ard_3-1-0_111082_2001-12-25_final
2002-04-05 09:56:55	ga_ls7e_ard_3-1-0_098080_2002-04-05_final
2002-05-25 11:24:55	ga_ls7e_ard_3-1-0_112084_2002-05-25_final
2002-07-23 11:04:47	ga_ls7e_ard_3-1-0_109081_2002-07-23_final
2002-09-25 11:04:17	ga_ls7e_ard_3-1-0_109081_2002-09-25_final
2003-03-02 11:17:59	ga_ls7e_ard_3-1-0_111082_2003-03-02_final
2004-07-08 09:49:21	ga_ls7e_ard_3-1-0_097076_2004-07-08_final
2004-10-12 09:48:54	ga_ls7e_ard_3-1-0_097076_2004-10-12_final
2005-07-12 10:30:39	ga_ls7e_ard_3-1-0_104070_2005-07-12_final
2006-05-12 10:31:18	ga_ls7e_ard_3-1-0_104070_2006-05-12_final
2006-12-30 11:24:28	ga_ls7e_ard_3-1-0_112079_2006-12-30_final
2007-03-26 09:09:14	ga_ls7e_ard_3-1-0_090080_2007-03-25_final
2007-08-02 09:50:29	ga_ls7e_ard_3-1-0_097076_2007-08-02_final
2007-10-22 10:31:06	ga_ls7e_ard_3-1-0_104070_2007-10-22_final
2008-02-22 10:14:56	ga_ls7e_ard_3-1-0_101075_2008-02-22_final
2008-04-30 09:50:26	ga_ls7e_ard_3-1-0_097076_2008-04-30_final
2008-06-02 10:31:05	ga_ls7e_ard_3-1-0_104070_2008-06-02_final
2009-05-15 10:15:07	ga_ls7e_ard_3-1-0_101075_2009-05-15_final
2010-07-26 10:33:27	ga_ls7e_ard_3-1-0_104070_2010-07-26_final
2010-08-06 10:15:42	ga_ls7e_ard_3-1-0_101072_2010-08-06_final
2011-05-10 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-05-10_final
2011-07-12 11:34:22	ga_ls7e_ard_3-1-0_113080_2011-07-12_final
2012-08-29 11:47:16	ga_ls7e_ard_3-1-0_115077_2012-08-29_final
2012-10-02 09:55:58	ga_ls7e_ard_3-1-0_097076_2012-10-02_final
2013-01-06 09:56:31	ga_ls7e_ard_3-1-0_097076_2013-01-06_final
2013-01-10 11:12:40	ga_ls7e_ard_3-1-0_109081_2013-01-10_final
2013-07-03 09:44:42	ga_ls7e_ard_3-1-0_095079_2013-07-03_final
2013-10-23 09:45:15	ga_ls7e_ard_3-1-0_095079_2013-10-23_final
2013-12-10 11:25:38	ga_ls7e_ard_3-1-0_111082_2013-12-10_final
2013-12-26 09:45:36	ga_ls7e_ard_3-1-0_095079_2013-12-26_final
2014-08-07 09:46:51	ga_ls7e_ard_3-1-0_095079_2014-08-07_final
2014-08-17 10:22:20	ga_ls7e_ard_3-1-0_101075_2014-08-17_final
2014-10-26 11:27:23	ga_ls7e_ard_3-1-0_111082_2014-10-26_final
2015-06-22 10:40:50	ga_ls7e_ard_3-1-0_104070_2015-06-22_final
2015-12-26 10:26:00	ga_ls7e_ard_3-1-0_101075_2015-12-26_final
2015-12-28 11:53:20	ga_ls7e_ard_3-1-0_115077_2015-12-28_final
2016-08-12 09:51:49	ga_ls7e_ard_3-1-0_095079_2016-08-12_final
2017-01-13 10:26:51	ga_ls7e_ard_3-1-0_101075_2017-01-13_final
2017-04-11 11:18:50	ga_ls7e_ard_3-1-0_109081_2017-04-11_final
2017-08-08 09:47:14	ga_ls7e_ard_3-1-0_094083_2017-08-08_final
2017-09-12 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-12_final
2017-11-03 09:51:50	ga_ls7e_ard_3-1-0_095079_2017-11-03_final
2018-02-28 10:07:55	ga_ls7e_ard_3-1-0_098076_2018-02-28_final
2018-08-16 09:58:55	ga_ls7e_ard_3-1-0_097076_2018-08-16_final
2019-02-17 11:26:26	ga_ls7e_ard_3-1-0_112075_2019-02-17_final
2019-02-18 10:31:11	ga_ls7e_ard_3-1-0_103076_2019-02-18_final
2019-02-19 09:36:44	ga_ls7e_ard_3-1-0_094079_2019-02-19_final
2019-03-05 11:26:44	ga_ls7e_ard_3-1-0_112077_2019-03-05_final
2019-09-03 09:06:18	ga_ls7e_ard_3-1-0_090083_2019-09-02_final
2019-09-09 10:03:51	ga_ls7e_ard_3-1-0_100073_2019-09-09_final
2019-09-16 10:12:55	ga_ls7e_ard_3-1-0_101081_2019-09-16_final
2019-09-20 11:26:30	ga_ls7e_ard_3-1-0_113080_2019-09-20_final
2019-09-22 09:33:34	ga_ls7e_ard_3-1-0_095076_2019-09-22_final
2019-10-06 09:44:57	ga_ls7e_ard_3-1-0_097075_2019-10-06_final
2019-10-06 11:23:50	ga_ls7e_ard_3-1-0_113075_2019-10-06_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-10 09:20:52	ga_ls7e_ard_3-1-0_093077_2019-10-09_final
2019-10-22 09:44:40	ga_ls7e_ard_3-1-0_097076_2019-10-22_final
2019-10-22 09:46:40	ga_ls7e_ard_3-1-0_097081_2019-10-22_final
2019-11-01 10:19:19	ga_ls7e_ard_3-1-0_103071_2019-11-01_final
2019-11-16 11:18:15	ga_ls7e_ard_3-1-0_112081_2019-11-16_final
2019-11-30 09:48:40	ga_ls7e_ard_3-1-0_098075_2019-11-30_final
2019-12-02 11:16:41	ga_ls7e_ard_3-1-0_112079_2019-12-02_final
2019-12-08 10:38:30	ga_ls7e_ard_3-1-0_106077_2019-12-08_final
2019-12-08 10:39:18	ga_ls7e_ard_3-1-0_106079_2019-12-08_final
2019-12-11 11:09:39	ga_ls7e_ard_3-1-0_111078_2019-12-11_final
2019-12-21 10:07:45	ga_ls7e_ard_3-1-0_101079_2019-12-21_final
2019-12-24 09:01:13	ga_ls7e_ard_3-1-0_090083_2019-12-23_final
2019-12-26 10:25:14	ga_ls7e_ard_3-1-0_104077_2019-12-26_final
2019-12-29 09:17:54	ga_ls7e_ard_3-1-0_093079_2019-12-28_final
2020-01-12 11:10:01	ga_ls7e_ard_3-1-0_111083_2020-01-12_final
2020-01-25 10:36:52	ga_ls7e_ard_3-1-0_106079_2020-01-25_final
2020-02-08 09:14:02	ga_ls7e_ard_3-1-0_092090_2020-02-07_final
2020-02-10 08:57:59	ga_ls7e_ard_3-1-0_090081_2020-02-09_final
2020-02-11 09:42:23	ga_ls7e_ard_3-1-0_097084_2020-02-11_final
2020-02-17 10:40:17	ga_ls7e_ard_3-1-0_107075_2020-02-17_final
2020-02-20 11:11:02	ga_ls7e_ard_3-1-0_112075_2020-02-20_final
2020-02-21 10:15:21	ga_ls7e_ard_3-1-0_103075_2020-02-21_final
2020-02-26 10:35:37	ga_ls7e_ard_3-1-0_106080_2020-02-26_final
2020-03-04 10:39:26	ga_ls7e_ard_3-1-0_107075_2020-03-04_final
2020-03-08 10:14:30	ga_ls7e_ard_3-1-0_103075_2020-03-08_final
2020-03-14 11:16:46	ga_ls7e_ard_3-1-0_113077_2020-03-14_final
2020-03-15 10:20:18	ga_ls7e_ard_3-1-0_104075_2020-03-15_final
2020-03-17 10:09:01	ga_ls7e_ard_3-1-0_102078_2020-03-17_final
2020-03-29 10:30:41	ga_ls7e_ard_3-1-0_106072_2020-03-29_final
2020-03-30 11:15:53	ga_ls7e_ard_3-1-0_113077_2020-03-30_final
2020-04-06 09:44:46	ga_ls7e_ard_3-1-0_098082_2020-04-06_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-30 09:15:48	ga_ls7e_ard_3-2-1_103075_2022-03-29_final
2022-04-05 08:40:55	ga_ls7e_ard_3-2-1_097082_2022-04-04_final
2022-04-05 10:18:12	ga_ls7e_ard_3-2-1_113078_2022-04-05_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