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

92 results

Time (local)	Label
1999-09-27 11:45:00	ga_ls7e_ard_3-0-0_115077_1999-09-27_final
2000-04-23 10:47:06	ga_ls7e_ard_3-0-0_106073_2000-04-23_final
2000-07-03 09:19:18	ga_ls7e_ard_3-0-0_091087_2000-07-02_final
2000-09-20 10:10:09	ga_ls7e_ard_3-0-0_100078_2000-09-20_final
2001-08-24 11:35:24	ga_ls7e_ard_3-0-0_114079_2001-08-24_final
2002-03-10 10:57:40	ga_ls7e_ard_3-0-0_108077_2002-03-10_final
2002-05-30 09:58:33	ga_ls7e_ard_3-0-0_099069_2002-05-30_final
2002-12-16 10:49:37	ga_ls7e_ard_3-0-0_107074_2002-12-16_final
2003-10-24 09:59:04	ga_ls7e_ard_3-0-0_099071_2003-10-24_final
2003-11-01 09:15:17	ga_ls7e_ard_3-0-0_091085_2003-10-31_final
2003-12-20 09:52:58	ga_ls7e_ard_3-0-0_098070_2003-12-20_final
2004-01-30 09:50:14	ga_ls7e_ard_3-0-0_097078_2004-01-30_final
2004-02-11 10:15:00	ga_ls7e_ard_3-0-0_101078_2004-02-11_final
2004-05-18 09:20:38	ga_ls7e_ard_3-0-0_092081_2004-05-17_final
2004-11-02 10:05:46	ga_ls7e_ard_3-0-0_100071_2004-11-02_final
2004-11-24 11:08:57	ga_ls7e_ard_3-0-0_110074_2004-11-24_final
2004-12-23 09:02:59	ga_ls7e_ard_3-0-0_089083_2004-12-22_final
2005-04-29 09:59:42	ga_ls7e_ard_3-0-0_098085_2005-04-29_final
2005-08-10 11:41:46	ga_ls7e_ard_3-0-0_115078_2005-08-10_final
2005-08-11 10:44:56	ga_ls7e_ard_3-1-0_106075_2005-08-11_final
2005-12-01 09:07:05	ga_ls7e_ard_3-0-0_090077_2005-11-30_final
2006-03-06 10:06:01	ga_ls7e_ard_3-0-0_099084_2006-03-06_final
2006-11-11 10:39:17	ga_ls7e_ard_3-0-0_105075_2006-11-11_final
2006-11-18 10:45:57	ga_ls7e_ard_3-0-0_106076_2006-11-18_final
2007-03-17 09:17:24	ga_ls7e_ard_3-0-0_091085_2007-03-16_final
2007-03-24 10:56:53	ga_ls7e_ard_3-0-0_108071_2007-03-24_final
2007-12-07 10:43:51	ga_ls7e_ard_3-0-0_106070_2007-12-07_final
2007-12-19 11:08:38	ga_ls7e_ard_3-0-0_110070_2007-12-19_final
2008-05-30 10:03:24	ga_ls7e_ard_3-0-0_099078_2008-05-30_final
2008-09-02 09:22:28	ga_ls7e_ard_3-0-0_092086_2008-09-01_final
2008-12-24 09:59:54	ga_ls7e_ard_3-0-0_099070_2008-12-24_final
2009-02-10 10:03:22	ga_ls7e_ard_3-0-0_099078_2009-02-10_final
2009-09-24 09:49:42	ga_ls7e_ard_3-0-0_097074_2009-09-24_final
2009-10-10 09:48:24	ga_ls7e_ard_3-0-0_097071_2009-10-10_final
2010-03-02 10:45:38	ga_ls7e_ard_3-0-0_106070_2010-03-02_final
2010-04-30 10:31:38	ga_ls7e_ard_3-0-0_103081_2010-04-30_final
2010-05-27 10:09:02	ga_ls7e_ard_3-0-0_100071_2010-05-27_final
2010-06-22 09:14:51	ga_ls7e_ard_3-0-0_090090_2010-06-21_final
2010-07-11 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-07-11_final
2010-07-16 09:55:58	ga_ls7e_ard_3-0-0_098069_2010-07-16_final
2010-12-14 10:02:56	ga_ls7e_ard_3-0-0_099069_2010-12-14_final
2010-12-31 10:48:21	ga_ls7e_ard_3-0-0_106074_2010-12-31_final
2011-04-05 10:07:32	ga_ls7e_ard_3-0-0_099079_2011-04-05_final
2011-10-22 09:22:12	ga_ls7e_ard_3-0-0_091090_2011-10-21_final
2012-03-23 10:47:43	ga_ls7e_ard_3-0-0_106070_2012-03-23_final
2012-03-30 10:59:04	ga_ls7e_ard_3-0-0_107083_2012-03-30_final
2012-04-27 11:19:38	ga_ls7e_ard_3-0-0_111072_2012-04-27_final
2012-05-20 11:24:09	ga_ls7e_ard_3-0-0_112067_2012-05-20_final
2013-04-23 11:19:24	ga_ls7e_ard_3-0-0_110083_2013-04-23_final
2013-07-30 09:26:43	ga_ls7e_ard_3-0-0_092081_2013-07-29_final
2013-10-06 10:36:19	ga_ls7e_ard_3-0-0_104068_2013-10-06_final
2013-10-26 10:15:22	ga_ls7e_ard_3-0-0_100077_2013-10-26_final
2013-10-31 10:35:30	ga_ls7e_ard_3-0-0_103081_2013-10-31_final
2014-01-29 11:10:33	ga_ls7e_ard_3-0-0_109074_2014-01-29_final
2014-02-11 09:03:58	ga_ls7e_ard_3-0-0_088082_2014-02-10_final
2014-03-01 10:26:00	ga_ls7e_ard_3-0-0_102071_2014-03-01_final
2014-03-02 09:28:48	ga_ls7e_ard_3-0-0_093067_2014-03-01_final
2014-03-15 10:42:52	ga_ls7e_ard_3-0-0_104082_2014-03-15_final
2014-04-05 09:24:15	ga_ls7e_ard_3-1-0_091086_2014-04-04_final
2014-08-18 09:29:30	ga_ls7e_ard_3-0-0_092082_2014-08-17_final
2015-04-11 11:28:40	ga_ls7e_ard_3-0-0_112067_2015-04-11_final
2015-08-05 11:10:32	ga_ls7e_ard_3-1-0_108082_2015-08-05_final
2015-09-16 10:04:05	ga_ls7e_ard_3-0-0_098070_2015-09-16_final
2016-02-08 09:14:46	ga_ls7e_ard_3-1-0_089081_2016-02-07_final
2016-05-10 09:42:49	ga_ls7e_ard_3-0-0_093088_2016-05-10_final
2016-11-02 09:41:53	ga_ls7e_ard_3-0-0_093085_2016-11-02_final
2016-11-07 09:59:59	ga_ls7e_ard_3-0-0_096084_2016-11-07_final
2016-12-04 11:15:01	ga_ls7e_ard_3-0-0_109071_2016-12-04_final
2017-03-21 09:24:05	ga_ls7e_ard_3-0-0_090088_2017-03-20_final
2017-04-14 10:12:04	ga_ls7e_ard_3-0-0_098084_2017-04-14_final
2017-05-30 10:22:14	ga_ls7e_ard_3-0-0_100078_2017-05-30_final
2017-10-28 10:28:31	ga_ls7e_ard_3-0-0_101078_2017-10-28_final
2018-02-12 10:06:05	ga_ls7e_ard_3-0-0_098071_2018-02-12_final
2018-05-12 09:58:38	ga_ls7e_ard_3-0-0_097071_2018-05-12_final
2018-05-23 11:19:12	ga_ls7e_ard_3-1-0_110072_2018-05-23_final
2018-08-08 09:10:25	ga_ls7e_ard_3-0-0_089078_2018-08-07_final
2019-01-06 09:15:22	ga_ls7e_ard_3-0-0_090084_2019-01-05_final
2019-01-23 11:32:59	ga_ls7e_ard_3-0-0_113074_2019-01-23_final
2019-03-11 10:46:16	ga_ls7e_ard_3-1-0_106069_2019-03-11_final
2020-02-10 08:56:23	ga_ls7e_ard_3-1-0_090077_2020-02-09_final
2020-03-13 08:54:41	ga_ls7e_ard_3-1-0_090077_2020-03-12_final
2020-04-22 11:21:56	ga_ls7e_ard_3-1-0_114080_2020-04-22_final
2020-07-09 09:49:09	ga_ls7e_ard_3-1-0_100076_2020-07-09_final
2020-07-12 10:19:52	ga_ls7e_ard_3-1-0_105076_2020-07-12_final
2020-07-28 10:21:16	ga_ls7e_ard_3-1-0_105082_2020-07-28_final
2020-09-13 09:33:23	ga_ls7e_ard_3-1-0_098078_2020-09-13_final
2020-12-15 08:57:45	ga_ls7e_ard_3-1-0_093082_2020-12-14_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-06-27 08:31:42	ga_ls7e_ard_3-2-0_091086_2021-06-26_final
2021-06-28 09:13:40	ga_ls7e_ard_3-2-0_098083_2021-06-27_final
2021-10-19 09:43:27	ga_ls7e_ard_3-2-0_105074_2021-10-19_final
2021-12-06 09:37:19	ga_ls7e_ard_3-2-1_105070_2021-12-06_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years