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
2000-03-17 10:27:14	ga_ls7e_ard_3-0-0_103069_2000-03-17_final
2001-01-24 10:20:35	ga_ls7e_ard_3-0-0_102073_2001-01-24_final
2001-05-07 10:29:28	ga_ls7e_ard_3-0-0_103081_2001-05-07_final
2001-06-04 10:53:26	ga_ls7e_ard_3-0-0_107080_2001-06-04_final
2001-08-09 10:38:23	ga_ls7e_ard_3-0-0_105075_2001-08-09_final
2001-10-31 11:08:34	ga_ls7e_ard_3-0-0_110075_2001-10-31_final
2001-11-18 10:56:04	ga_ls7e_ard_3-1-0_108074_2001-11-18_final
2002-07-23 11:02:23	ga_ls7e_ard_3-0-0_109075_2002-07-23_final
2002-09-24 10:21:25	ga_ls7e_ard_3-0-0_102082_2002-09-24_final
2003-01-10 10:43:56	ga_ls7e_ard_3-1-0_106075_2003-01-10_final
2003-01-19 10:38:16	ga_ls7e_ard_3-0-0_105076_2003-01-19_final
2003-08-06 10:44:22	ga_ls7e_ard_3-0-0_106076_2003-08-06_final
2004-02-02 10:18:45	ga_ls7e_ard_3-0-0_102072_2004-02-02_final
2004-02-14 10:45:06	ga_ls7e_ard_3-0-0_106076_2004-02-14_final
2004-09-11 10:34:41	ga_ls7e_ard_3-0-0_104082_2004-09-11_final
2005-05-02 10:27:50	ga_ls7e_ard_3-0-0_103078_2005-05-02_final
2005-05-20 10:17:29	ga_ls7e_ard_3-0-0_101083_2005-05-20_final
2005-08-04 10:39:11	ga_ls7e_ard_3-0-0_105076_2005-08-04_final
2006-02-16 10:17:32	ga_ls7e_ard_3-0-0_101082_2006-02-16_final
2006-05-22 11:09:58	ga_ls7e_ard_3-0-0_110074_2006-05-22_final
2006-08-21 10:51:25	ga_ls7e_ard_3-0-0_107075_2006-08-21_final
2006-08-30 10:45:12	ga_ls7e_ard_3-1-0_106075_2006-08-30_final
2006-11-11 10:39:41	ga_ls7e_ard_3-0-0_105076_2006-11-11_final
2006-12-13 10:42:21	ga_ls7e_ard_3-0-0_105082_2006-12-13_final
2007-05-16 09:36:46	ga_ls7e_ard_3-0-0_095072_2007-05-16_final
2007-12-17 11:24:58	ga_ls7e_ard_3-0-0_112080_2007-12-17_final
2008-01-12 10:23:37	ga_ls7e_ard_3-0-0_102081_2008-01-12_final
2010-04-02 11:44:36	ga_ls7e_ard_3-0-0_115078_2010-04-02_final
2010-05-14 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-05-14_final
2010-06-18 11:14:03	ga_ls7e_ard_3-0-0_110079_2010-06-18_final
2010-11-05 11:34:25	ga_ls7e_ard_3-0-0_114067_2010-11-05_final
2011-04-09 11:20:54	ga_ls7e_ard_3-0-0_111077_2011-04-09_final
2011-09-19 10:12:34	ga_ls7e_ard_3-0-0_100077_2011-09-19_final
2012-01-07 10:22:30	ga_ls7e_ard_3-0-0_102069_2012-01-07_final
2012-01-25 10:13:17	ga_ls7e_ard_3-0-0_100077_2012-01-25_final
2012-02-05 11:35:43	ga_ls7e_ard_3-0-0_113082_2012-02-05_final
2012-02-20 10:47:44	ga_ls7e_ard_3-0-0_106070_2012-02-20_final
2012-08-14 10:49:07	ga_ls7e_ard_3-0-0_106071_2012-08-14_final
2012-11-20 10:42:00	ga_ls7e_ard_3-0-0_104082_2012-11-20_final
2013-10-09 11:10:03	ga_ls7e_ard_3-0-0_109075_2013-10-09_final
2013-12-11 10:29:36	ga_ls7e_ard_3-0-0_102081_2013-12-11_final
2014-02-09 10:49:39	ga_ls7e_ard_3-0-0_106068_2014-02-09_final
2014-03-25 11:16:49	ga_ls7e_ard_3-0-0_110074_2014-03-25_final
2014-05-02 10:43:14	ga_ls7e_ard_3-0-0_104082_2014-05-02_final
2014-10-27 10:31:22	ga_ls7e_ard_3-0-0_102081_2014-10-27_final
2015-01-20 10:50:44	ga_ls7e_ard_3-0-0_105082_2015-01-20_final
2015-05-13 11:28:54	ga_ls7e_ard_3-0-0_112067_2015-05-13_final
2015-10-03 10:52:08	ga_ls7e_ard_3-0-0_105082_2015-10-03_final
2016-01-12 11:08:44	ga_ls7e_ard_3-0-0_108073_2016-01-12_final
2016-03-19 11:44:09	ga_ls7e_ard_3-0-0_113083_2016-03-19_final
2016-04-11 11:44:04	ga_ls7e_ard_3-0-0_114067_2016-04-11_final
2016-05-17 11:22:42	ga_ls7e_ard_3-0-0_110075_2016-05-17_final
2016-06-25 11:28:15	ga_ls7e_ard_3-0-0_111073_2016-06-25_final
2016-11-22 10:54:43	ga_ls7e_ard_3-0-0_105082_2016-11-22_final
2016-12-17 10:42:51	ga_ls7e_ard_3-0-0_104068_2016-12-17_final
2016-12-26 10:36:37	ga_ls7e_ard_3-0-0_103068_2016-12-26_final
2017-03-16 10:36:26	ga_ls7e_ard_3-0-0_103068_2017-03-16_final
2017-06-28 11:28:20	ga_ls7e_ard_3-0-0_111073_2017-06-28_final
2017-10-23 11:48:52	ga_ls7e_ard_3-0-0_114078_2017-10-23_final
2017-12-09 11:07:23	ga_ls7e_ard_3-0-0_107083_2017-12-09_final
2017-12-28 11:38:28	ga_ls7e_ard_3-0-0_112084_2017-12-28_final
2018-07-19 11:12:47	ga_ls7e_ard_3-0-0_109074_2018-07-19_final
2018-09-29 10:23:52	ga_ls7e_ard_3-0-0_101079_2018-09-29_final
2018-10-23 11:10:45	ga_ls7e_ard_3-0-0_109074_2018-10-23_final
2019-01-24 10:35:20	ga_ls7e_ard_3-0-0_104069_2019-01-24_final
2019-03-07 11:10:19	ga_ls7e_ard_3-1-0_110067_2019-03-07_final
2019-03-30 11:18:08	ga_ls7e_ard_3-0-0_111073_2019-03-30_final
2019-04-07 10:31:36	ga_ls7e_ard_3-0-0_103081_2019-04-07_final
2019-05-01 11:17:22	ga_ls7e_ard_3-0-0_111074_2019-05-01_final
2019-05-23 10:40:14	ga_ls7e_ard_3-0-0_105076_2019-05-23_final
2019-07-23 10:07:52	ga_ls7e_ard_3-0-0_100078_2019-07-23_final
2019-07-26 10:40:14	ga_ls7e_ard_3-0-0_105082_2019-07-26_final
2019-09-28 10:34:43	ga_ls7e_ard_3-1-0_105075_2019-09-28_final
2019-10-19 10:51:59	ga_ls7e_ard_3-1-0_108074_2019-10-19_final
2020-02-05 10:13:24	ga_ls7e_ard_3-1-0_103068_2020-02-05_final
2020-03-22 10:26:29	ga_ls7e_ard_3-1-0_105076_2020-03-22_final
2020-04-23 10:24:15	ga_ls7e_ard_3-1-0_105075_2020-04-23_final
2020-04-30 10:27:13	ga_ls7e_ard_3-1-0_106068_2020-04-30_final
2020-05-04 10:02:40	ga_ls7e_ard_3-1-0_102069_2020-05-04_final
2020-05-25 10:21:54	ga_ls7e_ard_3-1-0_105074_2020-05-25_final
2020-07-03 10:23:24	ga_ls7e_ard_3-1-0_106068_2020-07-03_final
2020-08-09 10:42:27	ga_ls7e_ard_3-1-0_109075_2020-08-09_final
2020-09-12 10:31:04	ga_ls7e_ard_3-1-0_107083_2020-09-12_final
2021-02-11 09:29:03	ga_ls7e_ard_3-2-0_099078_2021-02-10_final
2021-03-16 08:32:53	ga_ls7e_ard_3-2-0_090083_2021-03-15_final
2021-04-28 09:48:51	ga_ls7e_ard_3-2-0_103081_2021-04-28_final
2021-05-10 08:35:42	ga_ls7e_ard_3-2-0_091086_2021-05-09_final
2021-05-19 10:00:27	ga_ls7e_ard_3-2-0_106068_2021-05-19_final
2021-06-13 08:20:29	ga_ls7e_ard_3-2-0_089086_2021-06-12_final
2021-07-05 09:19:16	ga_ls7e_ard_3-2-0_099083_2021-07-04_final
2021-11-25 09:58:05	ga_ls7e_ard_3-2-1_108073_2021-11-25_final
2021-12-12 08:59:16	ga_ls7e_ard_3-2-1_099069_2021-12-11_final
2022-01-10 10:06:00	ga_ls7e_ard_3-2-1_110073_2022-01-10_final
2022-01-14 08:08:25	ga_ls7e_ard_3-2-1_090089_2022-01-13_final
2022-01-21 08:08:44	ga_ls7e_ard_3-2-1_091076_2022-01-20_final
2022-01-22 08:49:30	ga_ls7e_ard_3-2-1_098070_2022-01-21_final
2022-02-21 09:01:39	ga_ls7e_ard_3-2-1_100077_2022-02-20_final
2022-02-21 09:04:03	ga_ls7e_ard_3-2-1_100083_2022-02-20_final
2022-03-19 09:35:46	ga_ls7e_ard_3-2-1_106076_2022-03-19_final
2022-03-25 08:56:09	ga_ls7e_ard_3-2-1_100071_2022-03-24_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