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
1999-07-22 11:12:41	ga_ls7e_ard_3-0-0_110074_1999-07-22_final
1999-09-15 11:22:30	ga_ls7e_ard_3-0-0_111083_1999-09-15_final
1999-10-10 11:13:20	ga_ls7e_ard_3-0-0_110075_1999-10-10_final
1999-12-13 11:13:39	ga_ls7e_ard_3-0-0_110076_1999-12-13_final
2000-01-23 11:05:43	ga_ls7e_ard_3-0-0_109072_2000-01-23_final
2000-01-30 11:09:55	ga_ls7e_ard_3-0-0_110067_2000-01-30_final
2002-09-07 11:13:40	ga_ls7e_ard_3-0-0_111073_2002-09-07_final
2002-11-22 11:40:56	ga_ls7e_ard_3-0-0_115079_2002-11-22_final
2003-07-26 11:02:37	ga_ls7e_ard_3-0-0_109075_2003-07-26_final
2003-10-24 11:39:33	ga_ls7e_ard_3-0-0_115075_2003-10-24_final
2003-10-26 11:30:25	ga_ls7e_ard_3-0-0_113083_2003-10-26_final
2003-12-11 11:39:33	ga_ls7e_ard_3-0-0_115074_2003-12-11_final
2004-01-25 11:08:57	ga_ls7e_ard_3-0-0_110074_2004-01-25_final
2004-08-11 11:14:29	ga_ls7e_ard_3-0-0_111073_2004-08-11_final
2004-10-30 09:35:38	ga_ls7e_ard_3-1-0_095073_2004-10-30_final
2004-11-24 11:09:21	ga_ls7e_ard_3-0-0_110075_2004-11-24_final
2004-12-17 09:36:01	ga_ls7e_ard_3-1-0_095073_2004-12-17_final
2005-02-05 11:02:26	ga_ls7e_ard_3-0-0_109072_2005-02-05_final
2005-05-25 08:56:43	ga_ls7e_ard_3-0-0_088082_2005-05-24_final
2005-09-24 11:08:11	ga_ls7e_ard_3-1-0_110072_2005-09-24_final
2005-11-27 11:12:16	ga_ls7e_ard_3-0-0_110081_2005-11-27_final
2006-01-14 11:08:35	ga_ls7e_ard_3-0-0_110071_2006-01-14_final
2006-02-06 09:36:26	ga_ls7e_ard_3-0-0_095072_2006-02-06_final
2006-06-09 11:01:10	ga_ls7e_ard_3-0-0_108083_2006-06-09_final
2006-10-20 11:15:39	ga_ls7e_ard_3-0-0_111074_2006-10-20_final
2006-11-12 11:22:10	ga_ls7e_ard_3-0-0_112074_2006-11-12_final
2007-01-29 11:35:20	ga_ls7e_ard_3-0-0_114075_2007-01-29_final
2007-04-26 11:41:41	ga_ls7e_ard_3-0-0_115075_2007-04-26_final
2007-07-28 11:12:27	ga_ls7e_ard_3-0-0_110080_2007-07-28_final
2007-10-07 09:41:40	ga_ls7e_ard_3-0-0_095086_2007-10-07_final
2007-11-24 09:42:35	ga_ls7e_ard_3-0-0_095087_2007-11-24_final
2007-12-06 11:42:40	ga_ls7e_ard_3-0-0_115078_2007-12-06_final
2008-02-28 11:20:17	ga_ls7e_ard_3-0-0_111084_2008-02-28_final
2008-04-16 09:36:32	ga_ls7e_ard_3-0-0_095072_2008-04-16_final
2008-06-03 11:15:08	ga_ls7e_ard_3-0-0_111072_2008-06-03_final
2009-05-05 11:20:29	ga_ls7e_ard_3-0-0_111084_2009-05-05_final
2009-11-29 11:16:04	ga_ls7e_ard_3-0-0_111072_2009-11-29_final
2010-02-01 11:17:02	ga_ls7e_ard_3-0-0_111072_2010-02-01_final
2010-06-07 11:34:10	ga_ls7e_ard_3-0-0_113083_2010-06-07_final
2010-06-18 11:14:03	ga_ls7e_ard_3-0-0_110079_2010-06-18_final
2010-08-28 11:17:57	ga_ls7e_ard_3-0-0_111073_2010-08-28_final
2012-02-23 09:40:56	ga_ls7e_ard_3-1-0_095073_2012-02-23_final
2012-05-24 11:05:44	ga_ls7e_ard_3-0-0_108083_2012-05-24_final
2012-07-11 11:05:52	ga_ls7e_ard_3-0-0_108083_2012-07-11_final
2012-10-20 09:42:35	ga_ls7e_ard_3-1-0_095073_2012-10-20_final
2012-11-05 11:25:55	ga_ls7e_ard_3-0-0_111084_2012-11-05_final
2013-03-20 11:31:57	ga_ls7e_ard_3-0-0_112083_2013-03-20_final
2013-04-30 11:20:48	ga_ls7e_ard_3-0-0_111071_2013-04-30_final
2013-09-23 11:13:02	ga_ls7e_ard_3-0-0_109083_2013-09-23_final
2013-09-30 11:14:54	ga_ls7e_ard_3-1-0_110072_2013-09-30_final
2014-04-10 11:15:18	ga_ls7e_ard_3-0-0_110070_2014-04-10_final
2015-04-20 09:43:38	ga_ls7e_ard_3-0-0_095067_2015-04-20_final
2015-05-06 09:50:08	ga_ls7e_ard_3-0-0_095083_2015-05-06_final
2015-07-05 11:52:05	ga_ls7e_ard_3-0-0_115078_2015-07-05_final
2015-09-11 11:24:48	ga_ls7e_ard_3-0-0_111071_2015-09-11_final
2015-10-25 11:53:10	ga_ls7e_ard_3-0-0_115079_2015-10-25_final
2016-01-03 11:19:09	ga_ls7e_ard_3-0-0_109084_2016-01-03_final
2016-02-02 09:48:37	ga_ls7e_ard_3-1-0_095073_2016-02-02_final
2016-02-16 11:40:19	ga_ls7e_ard_3-0-0_113074_2016-02-16_final
2016-05-24 11:28:32	ga_ls7e_ard_3-0-0_111074_2016-05-24_final
2016-10-24 11:19:49	ga_ls7e_ard_3-0-0_110067_2016-10-24_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2017-06-03 11:34:50	ga_ls7e_ard_3-0-0_112074_2017-06-03_final
2017-08-08 11:24:55	ga_ls7e_ard_3-0-0_110080_2017-08-08_final
2017-08-17 11:16:44	ga_ls7e_ard_3-0-0_109075_2017-08-17_final
2017-09-16 11:27:28	ga_ls7e_ard_3-0-0_111071_2017-09-16_final
2018-04-28 09:52:30	ga_ls7e_ard_3-0-0_095086_2018-04-28_final
2018-09-28 11:17:32	ga_ls7e_ard_3-0-0_110074_2018-09-28_final
2018-10-05 09:49:26	ga_ls7e_ard_3-0-0_095086_2018-10-05_final
2018-12-01 11:14:25	ga_ls7e_ard_3-0-0_110070_2018-12-01_final
2019-02-26 11:19:11	ga_ls7e_ard_3-1-0_111073_2019-02-26_final
2019-05-06 11:38:07	ga_ls7e_ard_3-0-0_114080_2019-05-06_final
2019-06-18 11:15:12	ga_ls7e_ard_3-0-0_111073_2019-06-18_final
2019-09-06 11:11:58	ga_ls7e_ard_3-1-0_111073_2019-09-06_final
2019-12-20 11:01:25	ga_ls7e_ard_3-1-0_110074_2019-12-20_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-25 10:56:25	ga_ls7e_ard_3-1-0_110074_2020-03-25_final
2020-10-19 10:43:38	ga_ls7e_ard_3-1-0_110074_2020-10-19_final
2020-11-06 10:33:39	ga_ls7e_ard_3-1-0_108083_2020-11-06_final
2021-02-11 09:30:15	ga_ls7e_ard_3-2-0_099081_2021-02-11_final
2021-02-15 10:38:32	ga_ls7e_ard_3-2-0_111067_2021-02-15_final
2021-03-13 09:41:06	ga_ls7e_ard_3-2-0_101083_2021-03-13_final
2021-03-28 08:55:26	ga_ls7e_ard_3-2-0_094080_2021-03-27_final
2021-04-14 09:37:17	ga_ls7e_ard_3-2-0_101080_2021-04-14_final
2021-05-02 09:25:00	ga_ls7e_ard_3-2-0_099084_2021-05-01_final
2021-05-11 09:18:05	ga_ls7e_ard_3-2-0_098084_2021-05-10_final
2021-05-12 09:56:28	ga_ls7e_ard_3-2-0_105072_2021-05-12_final
2021-05-18 10:58:57	ga_ls7e_ard_3-2-0_115075_2021-05-18_final
2021-05-28 09:59:29	ga_ls7e_ard_3-2-0_105083_2021-05-28_final
2021-06-06 09:48:34	ga_ls7e_ard_3-2-0_104073_2021-06-06_final
2021-06-21 10:46:33	ga_ls7e_ard_3-2-0_113082_2021-06-21_final
2021-07-06 09:56:27	ga_ls7e_ard_3-2-0_106068_2021-07-06_final
2021-10-14 09:23:46	ga_ls7e_ard_3-2-0_102070_2021-10-13_final
2021-11-19 08:58:52	ga_ls7e_ard_3-2-1_098078_2021-11-18_final
2021-12-06 09:38:55	ga_ls7e_ard_3-2-1_105074_2021-12-06_final
2021-12-19 09:05:58	ga_ls7e_ard_3-2-1_100072_2021-12-18_final
2021-12-23 10:20:32	ga_ls7e_ard_3-2-1_112074_2021-12-23_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-11 10:01:39	ga_ls7e_ard_3-2-1_110070_2022-02-11_final
2022-02-20 08:17:42	ga_ls7e_ard_3-2-1_093075_2022-02-19_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