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
1999-10-26 11:11:59	ga_ls7e_ard_3-1-0_110072_1999-10-26_final
2000-07-01 11:08:10	ga_ls7e_ard_3-1-0_109081_2000-07-01_final
2000-08-06 09:04:01	ga_ls7e_ard_3-1-0_089081_2000-08-05_final
2000-11-01 10:45:57	ga_ls7e_ard_3-1-0_106075_2000-11-01_final
2001-12-07 09:48:54	ga_ls7e_ard_3-1-0_097076_2001-12-07_final
2002-02-26 10:30:10	ga_ls7e_ard_3-1-0_104070_2002-02-26_final
2002-06-12 11:07:38	ga_ls7e_ard_3-1-0_110072_2002-06-12_final
2002-12-05 09:26:29	ga_ls7e_ard_3-1-0_094067_2002-12-04_final
2003-01-14 10:19:17	ga_ls7e_ard_3-1-0_102075_2003-01-14_final
2003-01-22 09:26:43	ga_ls7e_ard_3-1-0_094067_2003-01-21_final
2003-12-06 09:44:52	ga_ls7e_ard_3-1-0_096081_2003-12-06_final
2004-04-04 10:30:29	ga_ls7e_ard_3-1-0_104070_2004-04-04_final
2004-08-25 09:49:08	ga_ls7e_ard_3-1-0_097076_2004-08-25_final
2004-09-21 09:30:02	ga_ls7e_ard_3-1-0_094075_2004-09-21_final
2005-01-29 11:00:10	ga_ls7e_ard_3-1-0_108082_2005-01-29_final
2005-07-13 09:38:37	ga_ls7e_ard_3-1-0_095079_2005-07-13_final
2005-07-29 09:38:36	ga_ls7e_ard_3-1-0_095079_2005-07-29_final
2006-05-08 11:00:48	ga_ls7e_ard_3-1-0_108082_2006-05-08_final
2006-09-01 10:30:51	ga_ls7e_ard_3-1-0_104070_2006-09-01_final
2006-11-08 10:10:44	ga_ls7e_ard_3-1-0_100081_2006-11-08_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2007-08-17 10:46:24	ga_ls7e_ard_3-1-0_106077_2007-08-17_final
2008-02-08 11:42:19	ga_ls7e_ard_3-1-0_115077_2008-02-08_final
2008-08-18 11:41:09	ga_ls7e_ard_3-1-0_115077_2008-08-18_final
2009-03-12 10:14:49	ga_ls7e_ard_3-1-0_101075_2009-03-12_final
2010-02-13 11:43:54	ga_ls7e_ard_3-1-0_115077_2010-02-13_final
2010-06-24 10:33:24	ga_ls7e_ard_3-1-0_104070_2010-06-24_final
2010-08-30 11:08:47	ga_ls7e_ard_3-1-0_109081_2010-08-30_final
2011-03-10 09:30:00	ga_ls7e_ard_3-1-0_093078_2011-03-10_final
2011-05-02 11:27:05	ga_ls7e_ard_3-1-0_112077_2011-05-02_final
2011-07-14 11:22:48	ga_ls7e_ard_3-1-0_111082_2011-07-14_final
2012-01-15 09:32:15	ga_ls7e_ard_3-1-0_094067_2012-01-15_final
2012-05-12 10:35:55	ga_ls7e_ard_3-1-0_104070_2012-05-12_final
2012-07-02 11:11:06	ga_ls7e_ard_3-1-0_109081_2012-07-02_final
2012-07-15 10:36:00	ga_ls7e_ard_3-1-0_104070_2012-07-15_final
2013-08-19 10:36:33	ga_ls7e_ard_3-1-0_104070_2013-08-19_final
2013-10-16 09:34:14	ga_ls7e_ard_3-1-0_094067_2013-10-16_final
2013-10-23 11:25:20	ga_ls7e_ard_3-1-0_111082_2013-10-23_final
2014-01-23 11:48:44	ga_ls7e_ard_3-1-0_115077_2014-01-23_final
2014-02-22 10:20:11	ga_ls7e_ard_3-1-0_101072_2014-02-22_final
2015-04-02 09:59:26	ga_ls7e_ard_3-1-0_097076_2015-04-02_final
2015-06-06 10:40:47	ga_ls7e_ard_3-1-0_104070_2015-06-06_final
2015-10-11 10:00:29	ga_ls7e_ard_3-1-0_097076_2015-10-11_final
2015-12-20 09:26:31	ga_ls7e_ard_3-1-0_091081_2015-12-19_final
2016-04-01 11:08:31	ga_ls7e_ard_3-1-0_108071_2016-04-01_final
2016-10-26 11:10:39	ga_ls7e_ard_3-1-0_108075_2016-10-26_final
2017-03-13 10:10:18	ga_ls7e_ard_3-1-0_098080_2017-03-13_final
2017-04-30 10:10:34	ga_ls7e_ard_3-1-0_098080_2017-04-30_final
2019-02-19 09:31:57	ga_ls7e_ard_3-1-0_094067_2019-02-19_final
2019-02-19 09:38:20	ga_ls7e_ard_3-1-0_094083_2019-02-19_final
2019-02-19 11:13:13	ga_ls7e_ard_3-1-0_110073_2019-02-19_final
2019-02-23 10:52:22	ga_ls7e_ard_3-1-0_106083_2019-02-23_final
2019-02-25 10:37:33	ga_ls7e_ard_3-1-0_104077_2019-02-25_final
2019-02-27 10:27:07	ga_ls7e_ard_3-1-0_102082_2019-02-27_final
2019-03-01 10:14:42	ga_ls7e_ard_3-1-0_100082_2019-03-01_final
2019-03-02 10:53:56	ga_ls7e_ard_3-1-0_107072_2019-03-02_final
2019-03-05 09:49:03	ga_ls7e_ard_3-1-0_096080_2019-03-05_final
2019-03-23 09:34:30	ga_ls7e_ard_3-1-0_094076_2019-03-23_final
2019-03-27 10:50:32	ga_ls7e_ard_3-1-0_106081_2019-03-27_final
2019-08-28 11:16:09	ga_ls7e_ard_3-1-0_112067_2019-08-28_final
2019-08-29 10:24:52	ga_ls7e_ard_3-1-0_103078_2019-08-29_final
2019-09-01 10:52:03	ga_ls7e_ard_3-1-0_108069_2019-09-01_final
2019-09-09 10:04:39	ga_ls7e_ard_3-1-0_100075_2019-09-09_final
2019-09-10 10:49:04	ga_ls7e_ard_3-1-0_107078_2019-09-10_final
2019-09-15 09:28:54	ga_ls7e_ard_3-1-0_094079_2019-09-14_final
2019-09-19 10:40:29	ga_ls7e_ard_3-1-0_106073_2019-09-19_final
2019-09-20 09:44:02	ga_ls7e_ard_3-1-0_097071_2019-09-20_final
2019-09-24 11:00:24	ga_ls7e_ard_3-1-0_109077_2019-09-24_final
2019-09-29 09:41:03	ga_ls7e_ard_3-1-0_096080_2019-09-29_final
2019-10-03 10:50:40	ga_ls7e_ard_3-1-0_108069_2019-10-03_final
2019-10-11 10:06:28	ga_ls7e_ard_3-1-0_100083_2019-10-11_final
2019-10-15 11:17:40	ga_ls7e_ard_3-1-0_112076_2019-10-15_final
2019-10-17 09:27:33	ga_ls7e_ard_3-1-0_094079_2019-10-16_final
2019-10-19 09:16:18	ga_ls7e_ard_3-1-0_092082_2019-10-18_final
2019-10-24 09:35:01	ga_ls7e_ard_3-1-0_095083_2019-10-24_final
2019-10-31 09:39:42	ga_ls7e_ard_3-1-0_096080_2019-10-31_final
2019-11-09 09:31:07	ga_ls7e_ard_3-1-0_095075_2019-11-09_final
2019-11-09 11:10:48	ga_ls7e_ard_3-1-0_111077_2019-11-09_final
2019-12-04 09:24:09	ga_ls7e_ard_3-1-0_094076_2019-12-03_final
2019-12-07 09:54:06	ga_ls7e_ard_3-1-0_099074_2019-12-07_final
2019-12-09 09:41:15	ga_ls7e_ard_3-1-0_097073_2019-12-09_final
2019-12-11 11:11:39	ga_ls7e_ard_3-1-0_111083_2019-12-11_final
2019-12-13 10:58:24	ga_ls7e_ard_3-1-0_109081_2019-12-13_final
2019-12-16 11:28:21	ga_ls7e_ard_3-1-0_114079_2019-12-16_final
2019-12-18 09:36:36	ga_ls7e_ard_3-1-0_096078_2019-12-18_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-23 09:53:17	ga_ls7e_ard_3-1-0_099074_2019-12-23_final
2020-01-04 10:17:47	ga_ls7e_ard_3-1-0_103075_2020-01-04_final
2020-01-10 09:40:00	ga_ls7e_ard_3-1-0_097074_2020-01-10_final
2020-02-07 10:05:19	ga_ls7e_ard_3-1-0_101079_2020-02-07_final
2020-02-20 09:31:45	ga_ls7e_ard_3-1-0_096074_2020-02-20_final
2020-02-26 10:34:50	ga_ls7e_ard_3-1-0_106078_2020-02-26_final
2020-02-26 10:36:01	ga_ls7e_ard_3-1-0_106081_2020-02-26_final
2020-03-03 09:56:14	ga_ls7e_ard_3-1-0_100075_2020-03-03_final
2020-03-05 11:23:26	ga_ls7e_ard_3-1-0_114077_2020-03-05_final
2020-03-25 10:58:49	ga_ls7e_ard_3-1-0_110080_2020-03-25_final
2020-04-05 10:35:40	ga_ls7e_ard_3-1-0_107070_2020-04-05_final
2020-04-05 10:38:03	ga_ls7e_ard_3-1-0_107076_2020-04-05_final
2020-04-06 09:41:11	ga_ls7e_ard_3-1-0_098073_2020-04-06_final
2020-04-12 09:05:21	ga_ls7e_ard_3-1-0_092077_2020-04-11_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