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
2000-09-14 10:46:12	ga_ls7e_ard_3-1-0_106075_2000-09-14_final
2000-10-05 11:06:56	ga_ls7e_ard_3-1-0_109081_2000-10-05_final
2003-02-14 11:17:57	ga_ls7e_ard_3-1-0_111082_2003-02-14_final
2003-09-20 10:12:54	ga_ls7e_ard_3-1-0_101075_2003-09-20_final
2003-12-17 11:05:18	ga_ls7e_ard_3-1-0_109081_2003-12-17_final
2004-02-19 09:29:08	ga_ls7e_ard_3-1-0_093087_2004-02-18_final
2004-07-26 11:18:10	ga_ls7e_ard_3-1-0_111082_2004-07-26_final
2005-12-11 11:25:52	ga_ls7e_ard_3-1-0_112084_2005-12-11_final
2006-02-21 10:34:54	ga_ls7e_ard_3-1-0_104079_2006-02-21_final
2006-07-26 10:14:22	ga_ls7e_ard_3-1-0_101075_2006-07-26_final
2006-07-26 10:16:46	ga_ls7e_ard_3-1-0_101081_2006-07-26_final
2007-06-11 10:14:57	ga_ls7e_ard_3-1-0_101075_2007-06-11_final
2008-03-05 09:03:05	ga_ls7e_ard_3-1-0_089081_2008-03-04_final
2008-06-01 09:50:14	ga_ls7e_ard_3-1-0_097076_2008-06-01_final
2008-06-21 09:29:42	ga_ls7e_ard_3-1-0_093087_2008-06-20_final
2008-07-17 09:59:42	ga_ls7e_ard_3-1-0_099070_2008-07-17_final
2008-10-27 09:27:18	ga_ls7e_ard_3-1-0_093083_2008-10-26_final
2009-03-09 11:22:22	ga_ls7e_ard_3-1-0_112074_2009-03-09_final
2009-10-05 11:09:13	ga_ls7e_ard_3-1-0_110072_2009-10-05_final
2009-11-03 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-11-02_final
2010-01-25 09:36:16	ga_ls7e_ard_3-1-0_094083_2010-01-25_final
2010-02-23 09:04:54	ga_ls7e_ard_3-1-0_089081_2010-02-22_final
2010-08-15 10:13:07	ga_ls7e_ard_3-1-0_100081_2010-08-15_final
2010-10-01 09:27:27	ga_ls7e_ard_3-1-0_093075_2010-09-30_final
2010-12-18 11:22:19	ga_ls7e_ard_3-1-0_111082_2010-12-18_final
2011-07-16 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-07-16_final
2012-07-15 10:36:00	ga_ls7e_ard_3-1-0_104070_2012-07-15_final
2012-08-30 10:49:39	ga_ls7e_ard_3-1-0_106072_2012-08-30_final
2012-09-27 09:40:11	ga_ls7e_ard_3-1-0_094083_2012-09-27_final
2013-01-10 11:12:40	ga_ls7e_ard_3-1-0_109081_2013-01-10_final
2014-01-17 09:09:31	ga_ls7e_ard_3-1-0_089081_2014-01-16_final
2014-04-11 10:20:30	ga_ls7e_ard_3-1-0_101072_2014-04-11_final
2014-05-13 10:21:59	ga_ls7e_ard_3-1-0_101075_2014-05-13_final
2014-06-17 10:52:58	ga_ls7e_ard_3-1-0_106075_2014-06-17_final
2014-11-24 10:53:52	ga_ls7e_ard_3-1-0_106075_2014-11-24_final
2015-09-08 10:55:28	ga_ls7e_ard_3-1-0_106075_2015-09-08_final
2015-11-16 11:17:15	ga_ls7e_ard_3-1-0_109081_2015-11-16_final
2016-01-20 10:22:35	ga_ls7e_ard_3-1-0_100081_2016-01-20_final
2016-05-29 10:10:37	ga_ls7e_ard_3-1-0_098080_2016-05-29_final
2016-07-01 09:15:29	ga_ls7e_ard_3-1-0_089081_2016-06-30_final
2016-08-18 09:15:32	ga_ls7e_ard_3-1-0_089081_2016-08-17_final
2016-10-12 09:23:27	ga_ls7e_ard_3-1-0_090085_2016-10-11_final
2017-08-12 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-08-12_final
2017-11-02 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-11-02_final
2017-11-12 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-11-12_final
2018-09-16 09:17:24	ga_ls7e_ard_3-1-0_090082_2018-09-15_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2019-03-01 10:15:30	ga_ls7e_ard_3-1-0_100084_2019-03-01_final
2019-03-03 11:38:22	ga_ls7e_ard_3-1-0_114075_2019-03-03_final
2019-03-14 11:17:52	ga_ls7e_ard_3-1-0_111071_2019-03-14_final
2019-03-28 11:34:09	ga_ls7e_ard_3-1-0_113082_2019-03-28_final
2019-04-20 09:59:50	ga_ls7e_ard_3-1-0_098080_2019-04-20_final
2019-08-26 09:50:54	ga_ls7e_ard_3-1-0_098070_2019-08-26_final
2019-09-02 09:55:35	ga_ls7e_ard_3-1-0_099067_2019-09-02_final
2019-09-03 10:41:12	ga_ls7e_ard_3-1-0_106073_2019-09-03_final
2019-09-03 10:41:36	ga_ls7e_ard_3-1-0_106074_2019-09-03_final
2019-09-21 10:26:03	ga_ls7e_ard_3-1-0_104068_2019-09-21_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-10-07 10:25:23	ga_ls7e_ard_3-1-0_104068_2019-10-07_final
2019-10-12 10:44:54	ga_ls7e_ard_3-1-0_107071_2019-10-12_final
2019-10-13 11:29:19	ga_ls7e_ard_3-1-0_114074_2019-10-13_final
2019-10-21 10:38:21	ga_ls7e_ard_3-1-0_106071_2019-10-21_final
2019-10-28 10:48:13	ga_ls7e_ard_3-1-0_107081_2019-10-28_final
2019-10-30 08:58:05	ga_ls7e_ard_3-1-0_089084_2019-10-29_final
2019-10-31 11:16:35	ga_ls7e_ard_3-1-0_112075_2019-10-31_final
2019-11-06 10:41:14	ga_ls7e_ard_3-1-0_106080_2019-11-06_final
2019-11-07 11:25:38	ga_ls7e_ard_3-1-0_113083_2019-11-07_final
2019-11-08 10:24:47	ga_ls7e_ard_3-1-0_104070_2019-11-08_final
2019-11-09 11:11:36	ga_ls7e_ard_3-1-0_111079_2019-11-09_final
2019-11-22 10:36:54	ga_ls7e_ard_3-1-0_106071_2019-11-22_final
2019-11-27 09:21:06	ga_ls7e_ard_3-1-0_093083_2019-11-26_final
2019-11-30 11:29:08	ga_ls7e_ard_3-1-0_114079_2019-11-30_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2019-12-10 10:26:03	ga_ls7e_ard_3-1-0_104077_2019-12-10_final
2019-12-20 09:26:32	ga_ls7e_ard_3-1-0_094084_2019-12-19_final
2019-12-23 09:56:29	ga_ls7e_ard_3-1-0_099082_2019-12-23_final
2019-12-23 11:32:10	ga_ls7e_ard_3-1-0_115074_2019-12-23_final
2019-12-25 11:20:54	ga_ls7e_ard_3-1-0_113077_2019-12-25_final
2019-12-31 10:40:43	ga_ls7e_ard_3-1-0_107070_2019-12-31_final
2020-01-01 11:25:31	ga_ls7e_ard_3-1-0_114074_2020-01-01_final
2020-01-04 10:14:59	ga_ls7e_ard_3-1-0_103068_2020-01-04_final
2020-01-09 08:59:11	ga_ls7e_ard_3-1-0_090080_2020-01-08_final
2020-01-10 09:39:12	ga_ls7e_ard_3-1-0_097072_2020-01-10_final
2020-01-17 09:49:26	ga_ls7e_ard_3-1-0_098083_2020-01-17_final
2020-01-30 10:51:58	ga_ls7e_ard_3-1-0_109071_2020-01-30_final
2020-02-26 08:57:57	ga_ls7e_ard_3-1-0_090083_2020-02-25_final
2020-03-08 10:15:18	ga_ls7e_ard_3-1-0_103077_2020-03-08_final
2020-03-10 10:02:50	ga_ls7e_ard_3-1-0_101077_2020-03-10_final
2020-03-12 11:30:02	ga_ls7e_ard_3-1-0_115079_2020-03-12_final
2020-03-13 10:31:58	ga_ls7e_ard_3-1-0_106073_2020-03-13_final
2020-03-18 10:53:49	ga_ls7e_ard_3-1-0_109082_2020-03-18_final
2020-03-25 11:00:25	ga_ls7e_ard_3-1-0_110084_2020-03-25_final
2020-03-30 09:35:48	ga_ls7e_ard_3-1-0_097074_2020-03-30_final
2020-03-30 11:14:41	ga_ls7e_ard_3-1-0_113074_2020-03-30_final
2020-04-03 10:52:56	ga_ls7e_ard_3-1-0_109082_2020-04-03_final
2020-04-06 09:43:35	ga_ls7e_ard_3-1-0_098079_2020-04-06_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-21 09:20:02	ga_ls7e_ard_3-2-1_104068_2022-03-20_final
2022-03-26 09:43:18	ga_ls7e_ard_3-2-1_107081_2022-03-26_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_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