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
1999-09-08 11:12:49	ga_ls7e_ard_3-0-0_110074_1999-09-08_final
2000-09-01 11:20:57	ga_ls7e_ard_3-0-0_111084_2000-09-01_final
2000-09-10 11:10:36	ga_ls7e_ard_3-0-0_110074_2000-09-10_final
2000-10-03 11:16:31	ga_ls7e_ard_3-0-0_111074_2000-10-03_final
2000-11-29 11:13:04	ga_ls7e_ard_3-0-0_110081_2000-11-29_final
2000-12-31 11:08:43	ga_ls7e_ard_3-0-0_110070_2000-12-31_final
2001-08-12 11:07:13	ga_ls7e_ard_3-0-0_110070_2001-08-12_final
2001-12-23 11:27:08	ga_ls7e_ard_3-0-0_113074_2001-12-23_final
2001-12-30 11:36:02	ga_ls7e_ard_3-0-0_114081_2001-12-30_final
2002-01-03 11:07:20	ga_ls7e_ard_3-0-0_110071_2002-01-03_final
2002-01-15 11:30:36	ga_ls7e_ard_3-0-0_114067_2002-01-15_final
2002-01-19 11:08:44	ga_ls7e_ard_3-0-0_110074_2002-01-19_final
2002-06-12 11:11:14	ga_ls7e_ard_3-0-0_110081_2002-06-12_final
2003-10-21 11:06:36	ga_ls7e_ard_3-0-0_110070_2003-10-21_final
2004-01-25 11:11:44	ga_ls7e_ard_3-0-0_110081_2004-01-25_final
2004-08-04 11:08:42	ga_ls7e_ard_3-0-0_110074_2004-08-04_final
2004-09-05 11:07:01	ga_ls7e_ard_3-0-0_110070_2004-09-05_final
2004-10-13 08:55:42	ga_ls7e_ard_3-0-0_088082_2004-10-12_final
2004-12-10 11:09:05	ga_ls7e_ard_3-0-0_110074_2004-12-10_final
2005-04-07 08:56:21	ga_ls7e_ard_3-0-0_088081_2005-04-06_final
2005-04-24 11:15:14	ga_ls7e_ard_3-0-0_111073_2005-04-24_final
2005-06-11 11:14:22	ga_ls7e_ard_3-0-0_111071_2005-06-11_final
2005-06-11 11:17:57	ga_ls7e_ard_3-0-0_111080_2005-06-11_final
2005-08-30 11:19:18	ga_ls7e_ard_3-0-0_111084_2005-08-30_final
2005-10-31 11:31:22	ga_ls7e_ard_3-0-0_113083_2005-10-31_final
2005-12-13 11:09:31	ga_ls7e_ard_3-0-0_110074_2005-12-13_final
2006-09-02 11:15:18	ga_ls7e_ard_3-0-0_111073_2006-09-02_final
2006-11-21 11:15:41	ga_ls7e_ard_3-0-0_111073_2006-11-21_final
2007-01-08 11:16:42	ga_ls7e_ard_3-0-0_111075_2007-01-08_final
2007-01-17 11:09:43	ga_ls7e_ard_3-0-0_110073_2007-01-17_final
2007-06-17 11:13:33	ga_ls7e_ard_3-0-0_111067_2007-06-17_final
2007-11-22 11:29:01	ga_ls7e_ard_3-0-0_113075_2007-11-22_final
2008-06-01 11:25:31	ga_ls7e_ard_3-0-0_113067_2008-06-01_final
2008-06-18 08:56:51	ga_ls7e_ard_3-0-0_088082_2008-06-17_final
2009-01-06 11:07:57	ga_ls7e_ard_3-0-0_110070_2009-01-06_final
2009-02-19 11:34:58	ga_ls7e_ard_3-0-0_114075_2009-02-19_final
2009-03-27 11:10:09	ga_ls7e_ard_3-0-0_110074_2009-03-27_final
2009-09-03 11:08:29	ga_ls7e_ard_3-0-0_110070_2009-09-03_final
2010-04-22 11:22:17	ga_ls7e_ard_3-0-0_111084_2010-04-22_final
2011-10-07 11:40:38	ga_ls7e_ard_3-0-0_114081_2011-10-07_final
2012-04-25 11:36:20	ga_ls7e_ard_3-0-0_113083_2012-04-25_final
2012-06-23 11:12:47	ga_ls7e_ard_3-0-0_110070_2012-06-23_final
2012-07-25 11:13:11	ga_ls7e_ard_3-0-0_110070_2012-07-25_final
2012-09-14 11:47:50	ga_ls7e_ard_3-0-0_115078_2012-09-14_final
2012-12-05 11:34:25	ga_ls7e_ard_3-0-0_113074_2012-12-05_final
2012-12-14 11:28:20	ga_ls7e_ard_3-0-0_112074_2012-12-14_final
2014-06-13 11:17:43	ga_ls7e_ard_3-0-0_110075_2014-06-13_final
2014-08-07 11:23:44	ga_ls7e_ard_3-0-0_111074_2014-08-07_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2014-12-22 11:22:26	ga_ls7e_ard_3-0-0_110084_2014-12-22_final
2015-03-19 11:24:41	ga_ls7e_ard_3-0-0_111073_2015-03-19_final
2015-04-13 11:17:31	ga_ls7e_ard_3-0-0_110070_2015-04-13_final
2015-07-07 11:41:20	ga_ls7e_ard_3-0-0_113082_2015-07-07_final
2015-11-14 09:47:30	ga_ls7e_ard_3-1-0_095073_2015-11-14_final
2016-04-06 11:27:52	ga_ls7e_ard_3-0-0_111073_2016-04-06_final
2016-05-17 11:22:18	ga_ls7e_ard_3-0-0_110074_2016-05-17_final
2017-07-14 11:27:33	ga_ls7e_ard_3-0-0_111071_2017-07-14_final
2017-08-31 11:27:30	ga_ls7e_ard_3-0-0_111071_2017-08-31_final
2017-09-07 11:38:28	ga_ls7e_ard_3-0-0_112083_2017-09-07_final
2018-02-23 11:27:07	ga_ls7e_ard_3-0-0_111073_2018-02-23_final
2018-09-12 11:16:18	ga_ls7e_ard_3-0-0_110070_2018-09-12_final
2018-10-19 11:39:09	ga_ls7e_ard_3-0-0_113083_2018-10-19_final
2019-04-04 11:38:54	ga_ls7e_ard_3-0-0_114079_2019-04-04_final
2019-04-24 11:09:52	ga_ls7e_ard_3-0-0_110070_2019-04-24_final
2019-08-30 11:06:53	ga_ls7e_ard_3-1-0_110075_2019-08-30_final
2019-11-16 11:19:27	ga_ls7e_ard_3-1-0_112084_2019-11-16_final
2019-12-04 10:59:26	ga_ls7e_ard_3-1-0_110067_2019-12-04_final
2020-04-10 10:55:55	ga_ls7e_ard_3-1-0_110075_2020-04-10_final
2020-06-04 10:57:12	ga_ls7e_ard_3-1-0_111071_2020-06-04_final
2020-09-01 10:46:45	ga_ls7e_ard_3-1-0_110074_2020-09-01_final
2020-11-11 09:08:35	ga_ls7e_ard_3-1-0_095072_2020-11-10_final
2020-11-20 10:41:03	ga_ls7e_ard_3-1-0_110073_2020-11-20_final
2020-12-11 10:59:39	ga_ls7e_ard_3-1-0_113077_2020-12-11_final
2021-02-11 09:29:03	ga_ls7e_ard_3-2-0_099078_2021-02-10_final
2021-02-14 09:58:08	ga_ls7e_ard_3-2-0_104074_2021-02-14_final
2021-02-24 10:38:27	ga_ls7e_ard_3-2-0_110084_2021-02-24_final
2021-02-26 10:22:20	ga_ls7e_ard_3-2-0_108075_2021-02-26_final
2021-03-06 09:30:41	ga_ls7e_ard_3-2-0_100071_2021-03-06_final
2021-03-08 09:17:46	ga_ls7e_ard_3-2-0_098070_2021-03-07_final
2021-04-10 10:00:21	ga_ls7e_ard_3-2-0_105075_2021-04-10_final
2021-04-26 09:59:24	ga_ls7e_ard_3-2-0_105076_2021-04-26_final
2021-05-02 09:22:13	ga_ls7e_ard_3-2-0_099077_2021-05-01_final
2021-05-24 10:21:22	ga_ls7e_ard_3-2-0_109075_2021-05-24_final
2021-06-23 08:51:10	ga_ls7e_ard_3-2-0_095072_2021-06-22_final
2021-06-26 09:21:25	ga_ls7e_ard_3-2-0_100071_2021-06-25_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-07-14 09:06:20	ga_ls7e_ard_3-2-0_098068_2021-07-13_final
2021-07-15 08:16:13	ga_ls7e_ard_3-2-0_089082_2021-07-14_final
2021-09-13 10:11:46	ga_ls7e_ard_3-2-0_109075_2021-09-13_final
2021-12-05 08:52:58	ga_ls7e_ard_3-2-1_098067_2021-12-04_final
2021-12-05 08:59:21	ga_ls7e_ard_3-2-1_098083_2021-12-04_final
2021-12-14 10:31:11	ga_ls7e_ard_3-2-1_113083_2021-12-14_final
2021-12-24 09:24:01	ga_ls7e_ard_3-2-1_103072_2021-12-23_final
2022-01-05 09:51:31	ga_ls7e_ard_3-2-1_107082_2022-01-05_final
2022-01-07 09:36:35	ga_ls7e_ard_3-2-1_105076_2022-01-07_final
2022-01-10 10:04:48	ga_ls7e_ard_3-2-1_110070_2022-01-10_final
2022-01-29 08:54:12	ga_ls7e_ard_3-2-1_099068_2022-01-28_final
2022-02-14 08:52:10	ga_ls7e_ard_3-2-1_099067_2022-02-13_final
2022-03-02 08:51:25	ga_ls7e_ard_3-2-1_099069_2022-03-01_final
2022-03-03 09:35:23	ga_ls7e_ard_3-2-1_106071_2022-03-03_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