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
2000-03-24 10:33:50	ga_ls7e_ard_3-1-0_104070_2000-03-24_final
2001-04-13 09:36:55	ga_ls7e_ard_3-1-0_095073_2001-04-13_final
2001-06-06 09:02:33	ga_ls7e_ard_3-1-0_089081_2001-06-05_final
2002-07-15 10:13:03	ga_ls7e_ard_3-1-0_101075_2002-07-15_final
2002-11-09 10:29:07	ga_ls7e_ard_3-1-0_104070_2002-11-09_final
2002-12-21 09:32:55	ga_ls7e_ard_3-1-0_094083_2002-12-21_final
2003-09-26 09:37:23	ga_ls7e_ard_3-1-0_095079_2003-09-26_final
2004-01-05 09:57:03	ga_ls7e_ard_3-1-0_098080_2004-01-05_final
2004-04-04 10:30:29	ga_ls7e_ard_3-1-0_104070_2004-04-04_final
2004-05-15 10:24:38	ga_ls7e_ard_3-1-0_103071_2004-05-15_final
2004-08-26 10:30:00	ga_ls7e_ard_3-1-0_104070_2004-08-26_final
2004-10-07 09:29:55	ga_ls7e_ard_3-1-0_094075_2004-10-06_final
2004-11-30 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-11-30_final
2004-12-13 11:41:11	ga_ls7e_ard_3-1-0_115077_2004-12-13_final
2005-01-17 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-01-17_final
2005-04-20 11:41:31	ga_ls7e_ard_3-1-0_115077_2005-04-20_final
2005-06-29 09:29:49	ga_ls7e_ard_3-1-0_093088_2005-06-28_final
2006-03-22 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-22_final
2006-07-28 11:41:42	ga_ls7e_ard_3-1-0_115077_2006-07-28_final
2007-10-01 10:14:25	ga_ls7e_ard_3-1-0_101075_2007-10-01_final
2008-03-01 09:28:38	ga_ls7e_ard_3-1-0_093083_2008-02-29_final
2008-12-17 09:57:39	ga_ls7e_ard_3-1-0_098080_2008-12-17_final
2009-06-24 09:28:50	ga_ls7e_ard_3-1-0_093083_2009-06-23_final
2010-03-14 09:36:44	ga_ls7e_ard_3-1-0_094083_2010-03-14_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2011-12-21 09:43:05	ga_ls7e_ard_3-1-0_095079_2011-12-21_final
2012-07-03 10:15:30	ga_ls7e_ard_3-1-0_100081_2012-07-03_final
2012-09-17 10:36:40	ga_ls7e_ard_3-1-0_104070_2012-09-17_final
2012-11-11 09:12:00	ga_ls7e_ard_3-1-0_089089_2012-11-10_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-04-07 09:40:39	ga_ls7e_ard_3-1-0_094083_2013-04-07_final
2013-08-26 09:08:19	ga_ls7e_ard_3-1-0_089081_2013-08-25_final
2014-04-13 11:49:03	ga_ls7e_ard_3-1-0_115077_2014-04-13_final
2014-11-16 10:06:23	ga_ls7e_ard_3-1-0_098080_2014-11-16_final
2014-11-20 09:36:29	ga_ls7e_ard_3-1-0_094067_2014-11-20_final
2014-12-29 11:27:47	ga_ls7e_ard_3-1-0_111082_2014-12-29_final
2015-06-06 10:40:47	ga_ls7e_ard_3-1-0_104070_2015-06-06_final
2015-09-29 11:16:29	ga_ls7e_ard_3-1-0_109081_2015-09-29_final
2016-02-07 10:08:23	ga_ls7e_ard_3-1-0_098076_2016-02-07_final
2016-07-27 11:31:53	ga_ls7e_ard_3-1-0_111082_2016-07-27_final
2017-10-20 11:19:09	ga_ls7e_ard_3-1-0_109081_2017-10-20_final
2018-02-19 11:53:29	ga_ls7e_ard_3-1-0_115077_2018-02-19_final
2018-09-10 11:31:30	ga_ls7e_ard_3-1-0_112077_2018-09-10_final
2019-01-11 11:11:26	ga_ls7e_ard_3-1-0_109081_2019-01-11_final
2019-02-18 10:31:11	ga_ls7e_ard_3-1-0_103076_2019-02-18_final
2019-02-25 10:38:45	ga_ls7e_ard_3-1-0_104080_2019-02-25_final
2019-03-11 10:49:28	ga_ls7e_ard_3-1-0_106077_2019-03-11_final
2019-03-12 09:55:24	ga_ls7e_ard_3-1-0_097081_2019-03-12_final
2019-03-16 11:09:50	ga_ls7e_ard_3-1-0_109082_2019-03-16_final
2019-03-19 09:59:22	ga_ls7e_ard_3-1-0_098076_2019-03-19_final
2019-06-04 11:06:32	ga_ls7e_ard_3-1-0_109081_2019-06-04_final
2019-07-20 11:17:33	ga_ls7e_ard_3-1-0_111082_2019-07-20_final
2019-08-25 10:50:33	ga_ls7e_ard_3-1-0_107080_2019-08-25_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-08 09:21:50	ga_ls7e_ard_3-1-0_093076_2019-09-07_final
2019-09-18 11:37:45	ga_ls7e_ard_3-1-0_115077_2019-09-18_final
2019-09-29 11:20:20	ga_ls7e_ard_3-1-0_112081_2019-09-29_final
2019-10-01 11:07:29	ga_ls7e_ard_3-1-0_110080_2019-10-01_final
2019-10-06 11:27:25	ga_ls7e_ard_3-1-0_113084_2019-10-06_final
2019-10-20 09:59:07	ga_ls7e_ard_3-1-0_099081_2019-10-20_final
2019-10-23 10:28:17	ga_ls7e_ard_3-1-0_104077_2019-10-23_final
2019-10-26 11:00:39	ga_ls7e_ard_3-1-0_109081_2019-10-26_final
2019-11-02 11:04:56	ga_ls7e_ard_3-1-0_110077_2019-11-02_final
2019-11-05 11:35:42	ga_ls7e_ard_3-1-0_115077_2019-11-05_final
2019-11-11 09:19:04	ga_ls7e_ard_3-1-0_093076_2019-11-10_final
2019-11-11 11:00:44	ga_ls7e_ard_3-1-0_109083_2019-11-11_final
2019-11-23 11:24:30	ga_ls7e_ard_3-1-0_113082_2019-11-23_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-11-25 11:12:02	ga_ls7e_ard_3-1-0_111082_2019-11-25_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2019-12-04 09:24:33	ga_ls7e_ard_3-1-0_094077_2019-12-03_final
2019-12-04 11:03:50	ga_ls7e_ard_3-1-0_110078_2019-12-04_final
2019-12-05 10:08:09	ga_ls7e_ard_3-1-0_101078_2019-12-05_final
2019-12-08 09:00:26	ga_ls7e_ard_3-1-0_090079_2019-12-07_final
2019-12-09 09:40:51	ga_ls7e_ard_3-1-0_097072_2019-12-09_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2020-01-01 09:48:38	ga_ls7e_ard_3-1-0_098079_2020-01-01_final
2020-01-14 10:57:09	ga_ls7e_ard_3-1-0_109082_2020-01-14_final
2020-01-19 11:15:03	ga_ls7e_ard_3-1-0_112081_2020-01-19_final
2020-01-21 11:02:12	ga_ls7e_ard_3-1-0_110080_2020-01-21_final
2020-01-26 11:19:41	ga_ls7e_ard_3-1-0_113078_2020-01-26_final
2020-01-28 11:08:49	ga_ls7e_ard_3-1-0_111082_2020-01-28_final
2020-02-06 11:00:35	ga_ls7e_ard_3-1-0_110078_2020-02-06_final
2020-02-11 09:39:12	ga_ls7e_ard_3-1-0_097076_2020-02-11_final
2020-02-11 09:41:59	ga_ls7e_ard_3-1-0_097083_2020-02-11_final
2020-02-26 08:56:45	ga_ls7e_ard_3-1-0_090080_2020-02-25_final
2020-03-09 09:15:38	ga_ls7e_ard_3-1-0_094067_2020-03-08_final
2020-03-13 08:57:05	ga_ls7e_ard_3-1-0_090083_2020-03-12_final
2020-03-24 10:11:37	ga_ls7e_ard_3-1-0_103070_2020-03-24_final
2020-03-25 10:58:49	ga_ls7e_ard_3-1-0_110080_2020-03-25_final
2020-04-05 10:38:51	ga_ls7e_ard_3-1-0_107078_2020-04-05_final
2020-04-08 11:10:23	ga_ls7e_ard_3-1-0_112080_2020-04-08_final
2020-04-15 09:33:41	ga_ls7e_ard_3-1-0_097071_2020-04-15_final
2020-04-19 09:09:56	ga_ls7e_ard_3-1-0_093074_2020-04-18_final
2020-04-25 10:11:46	ga_ls7e_ard_3-1-0_103075_2020-04-25_final
2020-04-29 09:46:49	ga_ls7e_ard_3-1-0_099075_2020-04-29_final
2022-03-27 08:44:24	ga_ls7e_ard_3-2-1_098073_2022-03-26_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_2022-03-31_final
2022-04-03 08:49:54	ga_ls7e_ard_3-2-1_099073_2022-04-02_final
2022-04-04 09:35:27	ga_ls7e_ard_3-2-1_106079_2022-04-04_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