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

85 results

Time (local)	Label
1999-07-25 10:03:33	ga_ls7e_ard_3-0-0_099071_1999-07-25_final
1999-12-25 09:56:36	ga_ls7e_ard_3-0-0_098069_1999-12-25_final
2000-01-17 10:05:31	ga_ls7e_ard_3-0-0_099076_2000-01-17_final
2000-01-18 10:46:22	ga_ls7e_ard_3-0-0_106070_2000-01-18_final
2000-07-11 10:05:49	ga_ls7e_ard_3-0-0_099080_2000-07-11_final
2000-09-16 08:57:18	ga_ls7e_ard_3-0-0_088081_2000-09-15_final
2001-01-15 10:29:55	ga_ls7e_ard_3-0-0_103081_2001-01-15_final
2001-07-30 10:03:06	ga_ls7e_ard_3-0-0_099079_2001-07-30_final
2001-10-12 09:01:03	ga_ls7e_ard_3-1-0_089081_2001-10-11_final
2002-12-28 11:18:01	ga_ls7e_ard_3-0-0_111083_2002-12-28_final
2004-01-09 11:07:14	ga_ls7e_ard_3-0-0_110070_2004-01-09_final
2004-02-29 10:00:15	ga_ls7e_ard_3-0-0_099072_2004-02-29_final
2004-05-26 10:07:40	ga_ls7e_ard_3-0-0_100075_2004-05-26_final
2004-08-25 09:46:20	ga_ls7e_ard_3-0-0_097069_2004-08-25_final
2004-11-05 09:03:24	ga_ls7e_ard_3-0-0_089085_2004-11-04_final
2005-03-20 09:12:23	ga_ls7e_ard_3-0-0_090090_2005-03-19_final
2005-06-29 11:04:43	ga_ls7e_ard_3-0-0_109078_2005-06-29_final
2005-11-03 10:19:26	ga_ls7e_ard_3-0-0_102073_2005-11-03_final
2006-01-01 10:04:04	ga_ls7e_ard_3-0-0_099080_2006-01-01_final
2006-03-15 11:35:07	ga_ls7e_ard_3-0-0_114075_2006-03-15_final
2006-04-12 10:18:30	ga_ls7e_ard_3-0-0_102069_2006-04-12_final
2006-05-03 10:41:27	ga_ls7e_ard_3-1-0_105080_2006-05-03_final
2006-06-28 11:29:34	ga_ls7e_ard_3-0-0_113077_2006-06-28_final
2006-09-15 10:47:07	ga_ls7e_ard_3-0-0_106080_2006-09-15_final
2007-01-05 10:48:36	ga_ls7e_ard_3-0-0_106082_2007-01-05_final
2007-04-16 09:22:33	ga_ls7e_ard_3-0-0_093067_2007-04-15_final
2007-05-06 10:40:14	ga_ls7e_ard_3-0-0_105076_2007-05-06_final
2008-01-19 10:24:36	ga_ls7e_ard_3-0-0_103068_2008-01-19_final
2008-02-27 08:57:21	ga_ls7e_ard_3-0-0_088082_2008-02-26_final
2008-04-12 09:59:40	ga_ls7e_ard_3-0-0_099068_2008-04-12_final
2008-05-10 10:24:40	ga_ls7e_ard_3-0-0_103069_2008-05-10_final
2008-11-22 09:58:46	ga_ls7e_ard_3-0-0_099068_2008-11-22_final
2009-05-02 10:43:12	ga_ls7e_ard_3-0-0_106068_2009-05-02_final
2009-05-28 09:45:01	ga_ls7e_ard_3-0-0_096077_2009-05-28_final
2009-06-24 11:03:44	ga_ls7e_ard_3-0-0_109073_2009-06-24_final
2009-07-14 10:40:08	ga_ls7e_ard_3-0-0_105076_2009-07-14_final
2009-10-01 09:53:04	ga_ls7e_ard_3-0-0_098067_2009-10-01_final
2010-01-10 10:16:31	ga_ls7e_ard_3-0-0_101076_2010-01-10_final
2010-01-24 10:25:53	ga_ls7e_ard_3-0-0_103068_2010-01-24_final
2010-04-26 10:57:09	ga_ls7e_ard_3-0-0_107083_2010-04-26_final
2010-11-01 10:22:35	ga_ls7e_ard_3-0-0_102073_2010-11-01_final
2010-11-19 10:14:52	ga_ls7e_ard_3-0-0_100084_2010-11-19_final
2011-01-05 09:33:14	ga_ls7e_ard_3-0-0_093087_2011-01-05_final
2011-01-10 09:50:38	ga_ls7e_ard_3-0-0_096084_2011-01-10_final
2011-02-06 09:32:38	ga_ls7e_ard_3-0-0_093085_2011-02-06_final
2011-02-22 11:06:01	ga_ls7e_ard_3-0-0_109071_2011-02-22_final
2011-03-16 10:29:24	ga_ls7e_ard_3-0-0_103072_2011-03-16_final
2011-06-09 09:14:17	ga_ls7e_ard_3-0-0_090085_2011-06-08_final
2011-07-07 09:39:44	ga_ls7e_ard_3-0-0_094087_2011-07-07_final
2011-10-22 09:19:49	ga_ls7e_ard_3-0-0_091084_2011-10-21_final
2012-01-08 11:07:21	ga_ls7e_ard_3-0-0_109073_2012-01-08_final
2012-01-30 10:33:04	ga_ls7e_ard_3-0-0_103080_2012-01-30_final
2012-08-22 09:59:21	ga_ls7e_ard_3-0-0_098070_2012-08-22_final
2012-09-22 09:23:10	ga_ls7e_ard_3-0-0_091087_2012-09-21_final
2013-12-16 09:08:27	ga_ls7e_ard_3-0-0_089079_2013-12-15_final
2013-12-31 11:43:27	ga_ls7e_ard_3-0-0_114080_2013-12-31_final
2014-03-17 10:30:08	ga_ls7e_ard_3-0-0_102081_2014-03-17_final
2014-11-12 10:28:43	ga_ls7e_ard_3-0-0_102074_2014-11-12_final
2014-12-09 11:50:47	ga_ls7e_ard_3-0-0_115078_2014-12-09_final
2015-05-19 09:17:21	ga_ls7e_ard_3-0-0_090078_2015-05-18_final
2016-02-14 11:53:05	ga_ls7e_ard_3-0-0_115075_2016-02-14_final
2016-06-28 10:22:16	ga_ls7e_ard_3-0-0_100078_2016-06-28_final
2016-09-15 11:16:26	ga_ls7e_ard_3-0-0_109074_2016-09-15_final
2016-09-29 11:28:26	ga_ls7e_ard_3-0-0_111073_2016-09-29_final
2017-01-11 10:36:26	ga_ls7e_ard_3-0-0_103068_2017-01-11_final
2017-05-26 10:47:44	ga_ls7e_ard_3-0-0_104080_2017-05-26_final
2017-06-12 11:28:41	ga_ls7e_ard_3-0-0_111074_2017-06-12_final
2017-10-11 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-10-11_final
2017-12-17 10:11:52	ga_ls7e_ard_3-0-0_099068_2017-12-17_final
2018-01-28 09:13:53	ga_ls7e_ard_3-0-0_089079_2018-01-27_final
2018-02-17 10:26:59	ga_ls7e_ard_3-0-0_101077_2018-02-17_final
2018-04-28 11:27:24	ga_ls7e_ard_3-0-0_111076_2018-04-28_final
2018-06-11 11:52:11	ga_ls7e_ard_3-0-0_115078_2018-06-11_final
2018-06-28 09:19:21	ga_ls7e_ard_3-0-0_090083_2018-06-27_final
2018-09-12 09:38:37	ga_ls7e_ard_3-0-0_094073_2018-09-12_final
2018-10-31 10:22:44	ga_ls7e_ard_3-0-0_101078_2018-10-31_final
2018-11-01 11:07:58	ga_ls7e_ard_3-0-0_108083_2018-11-01_final
2019-04-20 10:01:26	ga_ls7e_ard_3-0-0_098084_2019-04-20_final
2019-05-01 09:38:06	ga_ls7e_ard_3-1-0_095073_2019-05-01_final
2020-01-18 10:31:50	ga_ls7e_ard_3-1-0_105081_2020-01-18_final
2020-01-28 11:04:50	ga_ls7e_ard_3-1-0_111072_2020-01-28_final
2020-08-29 08:38:46	ga_ls7e_ard_3-1-0_089078_2020-08-28_final
2020-09-13 09:31:48	ga_ls7e_ard_3-1-0_098074_2020-09-13_final
2020-10-30 08:46:41	ga_ls7e_ard_3-1-0_091077_2020-10-29_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_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