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

93 results

Time (local)	Label
2000-02-02 10:06:18	ga_ls7e_ard_3-0-0_099078_2000-02-02_final
2000-03-07 09:56:07	ga_ls7e_ard_3-0-0_097084_2000-03-07_final
2000-05-09 09:14:25	ga_ls7e_ard_3-0-0_090089_2000-05-08_final
2000-07-23 10:30:44	ga_ls7e_ard_3-0-0_103081_2000-07-23_final
2000-09-28 09:19:30	ga_ls7e_ard_3-0-0_092075_2000-09-27_final
2001-02-20 10:02:20	ga_ls7e_ard_3-0-0_099074_2001-02-20_final
2001-03-06 10:14:37	ga_ls7e_ard_3-0-0_101074_2001-03-06_final
2002-03-01 11:05:05	ga_ls7e_ard_3-0-0_109080_2002-03-01_final
2002-11-14 10:47:41	ga_ls7e_ard_3-0-0_107070_2002-11-14_final
2003-05-26 09:58:26	ga_ls7e_ard_3-0-0_098084_2003-05-26_final
2003-07-22 09:46:06	ga_ls7e_ard_3-0-0_097069_2003-07-22_final
2003-07-26 11:02:13	ga_ls7e_ard_3-0-0_109074_2003-07-26_final
2003-10-23 09:22:10	ga_ls7e_ard_3-0-0_092087_2003-10-22_final
2003-10-26 09:45:56	ga_ls7e_ard_3-0-0_097069_2003-10-26_final
2003-11-08 10:56:00	ga_ls7e_ard_3-0-0_108074_2003-11-08_final
2003-12-24 11:08:46	ga_ls7e_ard_3-0-0_110074_2003-12-24_final
2004-06-26 11:01:09	ga_ls7e_ard_3-0-0_109070_2004-06-26_final
2004-10-07 11:11:11	ga_ls7e_ard_3-0-0_110081_2004-10-07_final
2005-02-03 11:16:22	ga_ls7e_ard_3-0-0_111076_2005-02-03_final
2005-03-19 10:05:37	ga_ls7e_ard_3-0-0_099084_2005-03-19_final
2005-04-05 09:07:08	ga_ls7e_ard_3-0-0_090077_2005-04-04_final
2005-05-09 10:32:50	ga_ls7e_ard_3-0-0_104075_2005-05-09_final
2005-05-12 11:03:20	ga_ls7e_ard_3-0-0_109074_2005-05-12_final
2005-05-14 10:51:23	ga_ls7e_ard_3-0-0_107075_2005-05-14_final
2005-07-05 10:25:15	ga_ls7e_ard_3-0-0_103072_2005-07-05_final
2005-08-11 09:06:51	ga_ls7e_ard_3-0-0_090077_2005-08-10_final
2005-12-15 10:56:22	ga_ls7e_ard_3-0-0_108072_2005-12-15_final
2006-02-10 09:18:06	ga_ls7e_ard_3-0-0_091088_2006-02-09_final
2006-03-06 10:04:01	ga_ls7e_ard_3-0-0_099079_2006-03-06_final
2006-05-11 11:25:43	ga_ls7e_ard_3-0-0_113067_2006-05-11_final
2006-07-13 10:45:00	ga_ls7e_ard_3-0-0_106074_2006-07-13_final
2006-11-27 09:04:34	ga_ls7e_ard_3-0-0_089085_2006-11-26_final
2007-02-22 10:43:39	ga_ls7e_ard_3-0-0_106069_2007-02-22_final
2007-03-04 09:48:40	ga_ls7e_ard_3-1-0_096086_2007-03-04_final
2007-03-25 10:06:27	ga_ls7e_ard_3-0-0_099084_2007-03-25_final
2007-06-25 10:29:41	ga_ls7e_ard_3-0-0_103081_2007-06-25_final
2007-07-04 10:21:06	ga_ls7e_ard_3-0-0_102075_2007-07-04_final
2007-09-02 10:47:29	ga_ls7e_ard_3-0-0_106080_2007-09-02_final
2007-09-09 09:17:55	ga_ls7e_ard_3-0-0_091088_2007-09-08_final
2007-11-22 11:29:01	ga_ls7e_ard_3-0-0_113075_2007-11-22_final
2008-02-23 09:19:42	ga_ls7e_ard_3-0-0_092076_2008-02-22_final
2008-05-08 10:39:02	ga_ls7e_ard_3-0-0_105074_2008-05-08_final
2008-05-23 09:54:29	ga_ls7e_ard_3-0-0_098071_2008-05-23_final
2008-08-04 11:30:04	ga_ls7e_ard_3-0-0_113080_2008-08-04_final
2008-09-02 09:23:16	ga_ls7e_ard_3-0-0_092088_2008-09-01_final
2009-03-23 09:53:34	ga_ls7e_ard_3-0-0_098068_2009-03-23_final
2009-04-18 10:32:47	ga_ls7e_ard_3-0-0_104073_2009-04-18_final
2009-05-15 10:17:55	ga_ls7e_ard_3-0-0_101082_2009-05-15_final
2009-06-20 09:47:59	ga_ls7e_ard_3-0-0_097069_2009-06-20_final
2010-01-27 09:20:44	ga_ls7e_ard_3-0-0_092075_2010-01-26_final
2010-03-08 10:13:47	ga_ls7e_ard_3-0-0_100083_2010-03-08_final
2011-03-07 10:38:46	ga_ls7e_ard_3-0-0_104080_2011-03-07_final
2011-03-15 11:23:02	ga_ls7e_ard_3-0-0_112067_2011-03-15_final
2012-11-07 11:10:22	ga_ls7e_ard_3-0-0_109076_2012-11-07_final
2012-12-04 10:48:45	ga_ls7e_ard_3-0-0_106068_2012-12-04_final
2013-09-20 09:02:49	ga_ls7e_ard_3-0-0_088082_2013-09-19_final
2013-09-24 10:15:01	ga_ls7e_ard_3-0-0_100077_2013-09-24_final
2013-11-15 09:48:22	ga_ls7e_ard_3-0-0_096071_2013-11-15_final
2013-12-22 10:12:17	ga_ls7e_ard_3-0-0_099084_2013-12-22_final
2014-03-02 11:10:28	ga_ls7e_ard_3-0-0_109074_2014-03-02_final
2014-03-06 10:46:12	ga_ls7e_ard_3-0-0_105075_2014-03-06_final
2014-04-13 10:10:34	ga_ls7e_ard_3-0-0_099078_2014-04-13_final
2014-06-22 11:11:09	ga_ls7e_ard_3-0-0_109074_2014-06-22_final
2014-08-11 10:57:25	ga_ls7e_ard_3-0-0_107070_2014-08-11_final
2015-07-26 10:33:24	ga_ls7e_ard_3-0-0_102082_2015-07-26_final
2017-01-19 09:54:05	ga_ls7e_ard_3-0-0_095086_2017-01-19_final
2017-03-19 11:10:08	ga_ls7e_ard_3-1-0_108075_2017-03-19_final
2017-07-12 11:38:19	ga_ls7e_ard_3-0-0_113067_2017-07-12_final
2017-11-15 10:16:31	ga_ls7e_ard_3-0-0_099079_2017-11-15_final
2017-12-31 10:25:16	ga_ls7e_ard_3-0-0_101071_2017-12-31_final
2018-02-09 11:16:06	ga_ls7e_ard_3-0-0_109076_2018-02-09_final
2018-04-25 10:56:09	ga_ls7e_ard_3-1-0_106075_2018-04-25_final
2018-05-12 09:58:38	ga_ls7e_ard_3-0-0_097071_2018-05-12_final
2018-06-22 11:29:03	ga_ls7e_ard_3-0-0_112067_2018-06-22_final
2018-10-18 09:14:37	ga_ls7e_ard_3-0-0_090077_2018-10-17_final
2018-11-03 09:19:29	ga_ls7e_ard_3-0-0_090090_2018-11-02_final
2018-11-24 11:10:25	ga_ls7e_ard_3-0-0_109075_2018-11-24_final
2018-12-04 10:09:57	ga_ls7e_ard_3-0-0_099079_2018-12-04_final
2019-05-30 10:45:46	ga_ls7e_ard_3-1-0_106075_2019-05-30_final
2019-10-17 11:04:50	ga_ls7e_ard_3-1-0_110075_2019-10-17_final
2020-02-03 08:50:58	ga_ls7e_ard_3-1-0_089078_2020-02-02_final
2020-04-05 09:03:10	ga_ls7e_ard_3-1-0_091086_2020-04-04_final
2020-04-09 10:15:30	ga_ls7e_ard_3-1-0_103082_2020-04-09_final
2020-05-15 11:25:31	ga_ls7e_ard_3-1-0_115077_2020-05-15_final
2020-06-17 10:27:32	ga_ls7e_ard_3-1-0_106076_2020-06-17_final
2020-07-10 08:58:15	ga_ls7e_ard_3-1-0_091088_2020-07-09_final
2020-07-31 10:49:12	ga_ls7e_ard_3-1-0_110075_2020-07-31_final
2020-08-08 09:56:27	ga_ls7e_ard_3-1-0_102068_2020-08-08_final
2020-09-14 10:15:23	ga_ls7e_ard_3-1-0_105075_2020-09-14_final
2020-12-09 11:12:58	ga_ls7e_ard_3-1-0_115079_2020-12-09_final
2021-06-11 08:34:36	ga_ls7e_ard_3-2-0_091090_2021-06-10_final
2021-12-24 09:24:01	ga_ls7e_ard_3-2-1_103072_2021-12-23_final
2022-01-23 07:58:11	ga_ls7e_ard_3-2-1_089081_2022-01-22_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