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
2000-04-04 10:20:20	ga_ls7e_ard_3-1-0_101083_2000-04-04_final
2001-07-31 10:44:44	ga_ls7e_ard_3-1-0_106075_2001-07-31_final
2002-10-06 09:08:24	ga_ls7e_ard_3-1-0_090085_2002-10-05_final
2003-05-21 11:17:57	ga_ls7e_ard_3-1-0_111082_2003-05-21_final
2003-11-18 09:53:58	ga_ls7e_ard_3-1-0_098073_2003-11-18_final
2003-12-01 09:23:30	ga_ls7e_ard_3-0-0_093074_2003-11-30_final
2003-12-03 09:17:31	ga_ls7e_ard_3-1-0_091090_2003-12-02_final
2004-02-05 09:16:22	ga_ls7e_ard_3-1-0_091086_2004-02-04_final
2004-03-29 11:08:23	ga_ls7e_ard_3-1-0_110072_2004-03-29_final
2004-12-10 09:32:59	ga_ls7e_ard_3-0-0_094081_2004-12-10_final
2005-02-03 09:36:17	ga_ls7e_ard_3-1-0_095073_2005-02-03_final
2005-08-23 11:08:23	ga_ls7e_ard_3-1-0_110072_2005-08-23_final
2005-11-24 10:36:33	ga_ls7e_ard_3-1-0_105069_2005-11-24_final
2006-02-08 09:22:05	ga_ls7e_ard_3-0-0_093067_2006-02-07_final
2006-05-22 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-05-21_final
2006-09-18 11:18:48	ga_ls7e_ard_3-1-0_111082_2006-09-18_final
2007-01-24 09:39:28	ga_ls7e_ard_3-1-0_095079_2007-01-24_final
2007-02-09 09:37:12	ga_ls7e_ard_3-1-0_095073_2007-02-09_final
2007-04-27 10:46:03	ga_ls7e_ard_3-1-0_106075_2007-04-27_final
2007-05-18 09:22:24	ga_ls7e_ard_3-0-0_093067_2007-05-17_final
2008-01-20 09:34:10	ga_ls7e_ard_3-0-0_094081_2008-01-20_final
2008-02-07 10:58:15	ga_ls7e_ard_3-1-0_108075_2008-02-07_final
2009-01-20 09:47:54	ga_ls7e_ard_3-1-0_096086_2009-01-20_final
2009-07-17 09:36:08	ga_ls7e_ard_3-0-0_094086_2009-07-17_final
2009-09-14 09:17:26	ga_ls7e_ard_3-1-0_091086_2009-09-13_final
2009-12-17 09:26:40	ga_ls7e_ard_3-0-0_093076_2009-12-16_final
2010-01-25 11:10:46	ga_ls7e_ard_3-1-0_110072_2010-01-25_final
2010-03-12 09:50:17	ga_ls7e_ard_3-1-0_096086_2010-03-12_final
2010-05-17 09:34:43	ga_ls7e_ard_3-0-0_094078_2010-05-17_final
2011-10-11 09:33:50	ga_ls7e_ard_3-0-0_094073_2011-10-11_final
2012-02-16 09:34:45	ga_ls7e_ard_3-0-0_094073_2012-02-16_final
2012-05-06 11:13:40	ga_ls7e_ard_3-1-0_110072_2012-05-06_final
2012-06-07 09:39:44	ga_ls7e_ard_3-0-0_094085_2012-06-07_final
2012-07-29 10:50:30	ga_ls7e_ard_3-1-0_106075_2012-07-29_final
2013-05-18 09:35:54	ga_ls7e_ard_3-1-0_093087_2013-05-18_final
2013-08-13 09:33:29	ga_ls7e_ard_3-1-0_094067_2013-08-13_final
2014-05-21 09:37:23	ga_ls7e_ard_3-1-0_093087_2014-05-21_final
2014-10-07 10:53:31	ga_ls7e_ard_3-1-0_106075_2014-10-07_final
2015-04-13 09:37:26	ga_ls7e_ard_3-1-0_094067_2015-04-13_final
2015-10-10 10:55:41	ga_ls7e_ard_3-1-0_106075_2015-10-10_final
2016-06-02 11:21:37	ga_ls7e_ard_3-1-0_110072_2016-06-02_final
2016-12-11 09:40:42	ga_ls7e_ard_3-1-0_094067_2016-12-11_final
2017-10-19 10:32:42	ga_ls7e_ard_3-1-0_102073_2017-10-19_final
2017-12-30 09:47:36	ga_ls7e_ard_3-0-0_094085_2017-12-30_final
2018-06-02 10:16:51	ga_ls7e_ard_3-1-0_100071_2018-06-02_final
2018-07-19 09:39:05	ga_ls7e_ard_3-1-0_093087_2018-07-19_final
2019-01-02 09:36:13	ga_ls7e_ard_3-0-0_094074_2019-01-02_final
2019-01-29 09:21:36	ga_ls7e_ard_3-1-0_091086_2019-01-28_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-03-18 09:21:43	ga_ls7e_ard_3-1-0_091090_2019-03-17_final
2019-09-22 09:32:22	ga_ls7e_ard_3-1-0_095073_2019-09-22_final
2019-09-23 10:15:35	ga_ls7e_ard_3-1-0_102073_2019-09-23_final
2019-09-28 09:00:14	ga_ls7e_ard_3-1-0_089086_2019-09-27_final
2019-09-29 11:17:32	ga_ls7e_ard_3-1-0_112074_2019-09-29_final
2019-10-28 10:45:25	ga_ls7e_ard_3-1-0_107074_2019-10-28_final
2019-11-05 09:53:37	ga_ls7e_ard_3-1-0_099069_2019-11-05_final
2019-11-11 10:57:57	ga_ls7e_ard_3-1-0_109076_2019-11-11_final
2019-11-21 09:52:53	ga_ls7e_ard_3-1-0_099069_2019-11-21_final
2019-12-07 09:52:06	ga_ls7e_ard_3-1-0_099069_2019-12-07_final
2019-12-19 10:21:01	ga_ls7e_ard_3-1-0_103081_2019-12-19_final
2019-12-26 10:21:38	ga_ls7e_ard_3-1-0_104068_2019-12-26_final
2020-01-02 10:29:03	ga_ls7e_ard_3-1-0_105072_2020-01-02_final
2020-01-04 10:15:23	ga_ls7e_ard_3-1-0_103069_2020-01-04_final
2020-01-10 09:42:47	ga_ls7e_ard_3-1-0_097081_2020-01-10_final
2020-01-24 11:32:09	ga_ls7e_ard_3-1-0_115078_2020-01-24_final
2020-02-19 08:50:08	ga_ls7e_ard_3-1-0_089078_2020-02-18_final
2020-02-21 10:17:45	ga_ls7e_ard_3-1-0_103081_2020-02-21_final
2020-03-16 11:05:30	ga_ls7e_ard_3-1-0_111080_2020-03-16_final
2020-03-28 09:47:29	ga_ls7e_ard_3-1-0_099072_2020-03-28_final
2020-04-23 08:49:46	ga_ls7e_ard_3-1-0_089086_2020-04-22_final
2020-06-29 10:53:57	ga_ls7e_ard_3-1-0_110082_2020-06-29_final
2020-07-06 10:56:07	ga_ls7e_ard_3-1-0_111073_2020-07-06_final
2020-09-07 10:08:52	ga_ls7e_ard_3-1-0_104073_2020-09-07_final
2021-03-28 08:50:15	ga_ls7e_ard_3-2-0_094067_2021-03-27_final
2021-05-11 10:52:58	ga_ls7e_ard_3-2-0_114074_2021-05-11_final
2021-05-28 09:53:30	ga_ls7e_ard_3-2-0_105068_2021-05-28_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-06-20 10:02:35	ga_ls7e_ard_3-2-0_106080_2021-06-20_final
2021-06-28 09:07:41	ga_ls7e_ard_3-2-0_098068_2021-06-27_final
2021-06-29 08:15:58	ga_ls7e_ard_3-2-0_089078_2021-06-28_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-08-06 09:10:54	ga_ls7e_ard_3-2-0_099069_2021-08-05_final
2021-08-06 09:16:30	ga_ls7e_ard_3-2-0_099083_2021-08-05_final
2021-09-03 09:38:22	ga_ls7e_ard_3-2-0_103082_2021-09-03_final
2021-09-16 09:00:20	ga_ls7e_ard_3-2-0_098067_2021-09-15_final
2021-10-10 09:50:26	ga_ls7e_ard_3-2-0_106074_2021-10-10_final
2021-10-16 09:11:38	ga_ls7e_ard_3-2-0_100071_2021-10-15_final
2021-11-16 10:06:20	ga_ls7e_ard_3-2-1_109076_2021-11-16_final
2022-01-23 09:35:28	ga_ls7e_ard_3-2-1_105077_2022-01-23_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_final
2022-02-01 09:25:36	ga_ls7e_ard_3-2-1_104070_2022-01-31_final
2022-02-18 10:08:19	ga_ls7e_ard_3-2-1_111073_2022-02-18_final
2022-02-22 08:08:20	ga_ls7e_ard_3-2-1_091083_2022-02-21_final
2022-03-04 10:19:44	ga_ls7e_ard_3-2-1_113074_2022-03-04_final
2022-03-06 08:27:31	ga_ls7e_ard_3-2-1_095072_2022-03-05_final
2022-03-08 09:58:37	ga_ls7e_ard_3-2-1_109084_2022-03-08_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-19 09:33:47	ga_ls7e_ard_3-2-1_106071_2022-03-19_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_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