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

87 results

Time (local)	Label
1999-09-06 09:43:31	ga_ls7e_ard_3-0-0_096067_1999-09-06_final
2000-04-01 09:43:06	ga_ls7e_ard_3-0-0_096067_2000-04-01_final
2000-04-11 10:25:36	ga_ls7e_ard_3-0-0_102081_2000-04-11_final
2000-08-04 10:52:54	ga_ls7e_ard_3-0-0_107075_2000-08-04_final
2001-05-26 10:55:22	ga_ls7e_ard_3-0-0_108069_2001-05-26_final
2001-09-11 09:39:10	ga_ls7e_ard_3-0-0_096067_2001-09-11_final
2002-01-29 10:08:05	ga_ls7e_ard_3-0-0_100077_2002-01-29_final
2002-03-28 10:44:24	ga_ls7e_ard_3-1-0_106075_2002-03-28_final
2002-05-25 09:39:15	ga_ls7e_ard_3-0-0_096067_2002-05-25_final
2002-06-26 09:39:01	ga_ls7e_ard_3-0-0_096067_2002-06-26_final
2002-08-29 09:38:34	ga_ls7e_ard_3-0-0_096067_2002-08-29_final
2002-09-19 10:00:53	ga_ls7e_ard_3-0-0_099077_2002-09-19_final
2002-10-20 10:53:19	ga_ls7e_ard_3-0-0_108069_2002-10-20_final
2003-10-27 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-10-27_final
2003-12-03 10:48:50	ga_ls7e_ard_3-0-0_107071_2003-12-03_final
2004-02-24 09:39:41	ga_ls7e_ard_3-0-0_096067_2004-02-24_final
2004-05-19 10:00:19	ga_ls7e_ard_3-0-0_099072_2004-05-19_final
2004-06-21 10:44:36	ga_ls7e_ard_3-1-0_106075_2004-06-21_final
2004-08-18 09:39:23	ga_ls7e_ard_3-0-0_096067_2004-08-18_final
2005-01-30 09:58:58	ga_ls7e_ard_3-0-0_099068_2005-01-30_final
2005-03-03 10:00:24	ga_ls7e_ard_3-0-0_099071_2005-03-03_final
2005-09-28 09:11:21	ga_ls7e_ard_3-0-0_090089_2005-09-27_final
2005-10-08 09:39:36	ga_ls7e_ard_3-0-0_096067_2005-10-08_final
2005-10-24 09:39:50	ga_ls7e_ard_3-0-0_096067_2005-10-24_final
2006-02-09 10:09:20	ga_ls7e_ard_3-0-0_100077_2006-02-09_final
2006-07-04 09:18:45	ga_ls7e_ard_3-0-0_091090_2006-07-03_final
2006-11-17 10:03:04	ga_ls7e_ard_3-0-0_099077_2006-11-17_final
2007-03-13 11:18:36	ga_ls7e_ard_3-0-0_111079_2007-03-13_final
2007-12-01 09:40:49	ga_ls7e_ard_3-0-0_096067_2007-12-01_final
2007-12-15 09:54:51	ga_ls7e_ard_3-0-0_098071_2007-12-15_final
2008-03-27 10:00:04	ga_ls7e_ard_3-0-0_099069_2008-03-27_final
2008-07-01 10:03:05	ga_ls7e_ard_3-0-0_099078_2008-07-01_final
2008-07-17 10:02:30	ga_ls7e_ard_3-0-0_099077_2008-07-17_final
2009-03-05 10:06:59	ga_ls7e_ard_3-0-0_100071_2009-03-05_final
2009-05-19 11:32:29	ga_ls7e_ard_3-0-0_113083_2009-05-19_final
2009-06-17 09:24:16	ga_ls7e_ard_3-0-0_092087_2009-06-16_final
2010-03-18 09:14:02	ga_ls7e_ard_3-1-0_090088_2010-03-17_final
2010-05-01 09:30:25	ga_ls7e_ard_3-1-0_094067_2010-05-01_final
2010-10-01 09:30:38	ga_ls7e_ard_3-0-0_093083_2010-10-01_final
2010-11-13 10:51:04	ga_ls7e_ard_3-0-0_106082_2010-11-13_final
2011-01-09 10:42:15	ga_ls7e_ard_3-0-0_105074_2011-01-09_final
2011-03-04 10:04:16	ga_ls7e_ard_3-0-0_099071_2011-03-04_final
2011-04-18 09:34:13	ga_ls7e_ard_3-0-0_094073_2011-04-18_final
2011-09-17 10:26:32	ga_ls7e_ard_3-0-0_102081_2011-09-17_final
2011-11-02 09:00:29	ga_ls7e_ard_3-0-0_088082_2011-11-01_final
2011-12-25 10:55:42	ga_ls7e_ard_3-0-0_107075_2011-12-25_final
2012-04-28 10:27:38	ga_ls7e_ard_3-0-0_102081_2012-04-28_final
2012-07-23 09:45:27	ga_ls7e_ard_3-0-0_096067_2012-07-23_final
2012-11-08 10:15:09	ga_ls7e_ard_3-0-0_100077_2012-11-08_final
2012-12-24 10:25:24	ga_ls7e_ard_3-0-0_102071_2012-12-24_final
2013-02-25 11:23:50	ga_ls7e_ard_3-0-0_111078_2013-02-25_final
2013-05-03 10:15:36	ga_ls7e_ard_3-0-0_100078_2013-05-03_final
2013-07-15 10:08:54	ga_ls7e_ard_3-0-0_099078_2013-07-15_final
2013-10-22 09:03:11	ga_ls7e_ard_3-0-0_088082_2013-10-21_final
2013-11-07 09:02:53	ga_ls7e_ard_3-0-0_088081_2013-11-06_final
2013-12-17 09:46:54	ga_ls7e_ard_3-0-0_096067_2013-12-17_final
2014-11-18 09:48:49	ga_ls7e_ard_3-0-0_096067_2014-11-18_final
2015-04-26 09:15:23	ga_ls7e_ard_3-1-0_089089_2015-04-25_final
2015-05-01 09:28:22	ga_ls7e_ard_3-0-0_092075_2015-04-30_final
2016-04-09 10:21:30	ga_ls7e_ard_3-0-0_100077_2016-04-09_final
2016-10-22 10:00:06	ga_ls7e_ard_3-0-0_096084_2016-10-22_final
2017-06-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-06-19_final
2017-07-03 10:06:00	ga_ls7e_ard_3-0-0_098068_2017-07-03_final
2017-07-05 09:53:15	ga_ls7e_ard_3-0-0_096067_2017-07-05_final
2017-10-01 10:43:02	ga_ls7e_ard_3-0-0_104068_2017-10-01_final
2018-03-30 10:20:18	ga_ls7e_ard_3-0-0_100077_2018-03-30_final
2018-05-05 09:50:58	ga_ls7e_ard_3-0-0_096067_2018-05-05_final
2018-09-09 10:47:04	ga_ls7e_ard_3-0-0_105074_2018-09-09_final
2018-12-21 09:13:03	ga_ls7e_ard_3-0-0_090077_2018-12-20_final
2019-04-22 09:42:13	ga_ls7e_ard_3-0-0_096067_2019-04-22_final
2019-06-14 10:02:46	ga_ls7e_ard_3-0-0_099077_2019-06-14_final
2019-06-29 10:57:02	ga_ls7e_ard_3-1-0_108075_2019-06-29_final
2019-12-06 10:49:46	ga_ls7e_ard_3-1-0_108074_2019-12-06_final
2020-01-24 09:49:41	ga_ls7e_ard_3-1-0_099069_2020-01-24_final
2020-02-26 10:31:14	ga_ls7e_ard_3-1-0_106069_2020-02-26_final
2020-03-05 09:41:46	ga_ls7e_ard_3-1-0_098070_2020-03-05_final
2020-04-17 09:19:37	ga_ls7e_ard_3-1-0_095067_2020-04-16_final
2020-04-22 09:44:39	ga_ls7e_ard_3-1-0_098084_2020-04-22_final
2020-06-11 11:08:10	ga_ls7e_ard_3-1-0_112084_2020-06-11_final
2020-09-11 09:45:29	ga_ls7e_ard_3-1-0_100077_2020-09-11_final
2020-09-12 10:31:04	ga_ls7e_ard_3-1-0_107083_2020-09-12_final
2020-11-18 09:12:17	ga_ls7e_ard_3-1-0_096067_2020-11-17_final
2021-05-12 09:58:04	ga_ls7e_ard_3-2-0_105076_2021-05-12_final
2021-06-20 10:00:35	ga_ls7e_ard_3-2-0_106075_2021-06-20_final
2021-08-06 09:14:30	ga_ls7e_ard_3-2-0_099078_2021-08-05_final
2021-10-20 08:44:57	ga_ls7e_ard_3-2-0_096067_2021-10-19_final
2022-02-02 10:07:58	ga_ls7e_ard_3-2-1_111068_2022-02-02_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