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

79 results

Time (local)	Label
1999-09-06 11:25:11	ga_ls7e_ard_3-0-0_112074_1999-09-06_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2001-02-14 09:01:45	ga_ls7e_ard_3-0-0_089077_2001-02-13_final
2001-04-17 10:49:53	ga_ls7e_ard_3-0-0_107070_2001-04-17_final
2001-12-15 10:38:04	ga_ls7e_ard_3-0-0_105075_2001-12-15_final
2002-04-03 10:05:39	ga_ls7e_ard_3-0-0_100071_2002-04-03_final
2002-04-20 10:50:32	ga_ls7e_ard_3-0-0_107075_2002-04-20_final
2002-07-09 10:50:10	ga_ls7e_ard_3-0-0_107075_2002-07-09_final
2002-07-25 10:50:01	ga_ls7e_ard_3-0-0_107075_2002-07-25_final
2002-08-09 10:07:52	ga_ls7e_ard_3-0-0_100078_2002-08-09_final
2002-09-27 10:49:31	ga_ls7e_ard_3-0-0_107075_2002-09-27_final
2002-10-29 10:49:32	ga_ls7e_ard_3-0-0_107075_2002-10-29_final
2003-04-15 11:41:09	ga_ls7e_ard_3-0-0_115078_2003-04-15_final
2003-05-16 10:56:39	ga_ls7e_ard_3-1-0_108075_2003-05-16_final
2003-08-29 10:50:07	ga_ls7e_ard_3-0-0_107075_2003-08-29_final
2003-12-11 09:59:04	ga_ls7e_ard_3-0-0_099070_2003-12-11_final
2003-12-11 11:41:09	ga_ls7e_ard_3-0-0_115078_2003-12-11_final
2003-12-28 10:44:52	ga_ls7e_ard_3-0-0_106076_2003-12-28_final
2004-02-16 08:56:15	ga_ls7e_ard_3-0-0_088082_2004-02-15_final
2004-06-19 09:22:52	ga_ls7e_ard_3-0-0_092087_2004-06-18_final
2004-06-19 10:56:34	ga_ls7e_ard_3-0-0_108074_2004-06-19_final
2004-08-24 10:44:46	ga_ls7e_ard_3-0-0_106076_2004-08-24_final
2004-12-05 10:51:18	ga_ls7e_ard_3-0-0_107076_2004-12-05_final
2004-12-17 09:33:37	ga_ls7e_ard_3-0-0_095067_2004-12-17_final
2005-01-22 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-01-21_final
2005-02-05 11:03:14	ga_ls7e_ard_3-0-0_109074_2005-02-05_final
2005-02-05 11:04:02	ga_ls7e_ard_3-0-0_109076_2005-02-05_final
2005-03-22 10:35:43	ga_ls7e_ard_3-0-0_104082_2005-03-22_final
2005-04-26 11:03:41	ga_ls7e_ard_3-0-0_109075_2005-04-26_final
2006-02-18 11:41:17	ga_ls7e_ard_3-0-0_115075_2006-02-18_final
2006-06-18 09:18:51	ga_ls7e_ard_3-0-0_091090_2006-06-17_final
2006-07-24 10:28:45	ga_ls7e_ard_3-0-0_103080_2006-07-24_final
2006-12-20 10:46:10	ga_ls7e_ard_3-0-0_106076_2006-12-20_final
2007-01-26 09:22:20	ga_ls7e_ard_3-0-0_093067_2007-01-25_final
2007-06-16 10:36:17	ga_ls7e_ard_3-0-0_104082_2007-06-16_final
2007-12-03 11:08:33	ga_ls7e_ard_3-0-0_110070_2007-12-03_final
2008-02-12 09:39:53	ga_ls7e_ard_3-0-0_095080_2008-02-12_final
2008-06-12 09:28:00	ga_ls7e_ard_3-1-0_094067_2008-06-11_final
2008-09-29 09:03:41	ga_ls7e_ard_3-0-0_089086_2008-09-28_final
2009-01-01 10:51:22	ga_ls7e_ard_3-0-0_107075_2009-01-01_final
2009-01-28 08:56:30	ga_ls7e_ard_3-0-0_088081_2009-01-27_final
2009-02-14 09:34:18	ga_ls7e_ard_3-0-0_095067_2009-02-14_final
2009-08-25 09:34:35	ga_ls7e_ard_3-0-0_095067_2009-08-25_final
2009-12-05 10:40:38	ga_ls7e_ard_3-0-0_105076_2009-12-05_final
2010-04-12 09:05:08	ga_ls7e_ard_3-1-0_089081_2010-04-11_final
2010-06-09 09:36:33	ga_ls7e_ard_3-0-0_095067_2010-06-09_final
2011-03-27 10:10:29	ga_ls7e_ard_3-0-0_100071_2011-03-27_final
2011-09-16 09:39:41	ga_ls7e_ard_3-0-0_095072_2011-09-16_final
2012-03-07 10:48:04	ga_ls7e_ard_3-0-0_106071_2012-03-07_final
2012-06-28 09:52:05	ga_ls7e_ard_3-0-0_097069_2012-06-28_final
2013-01-08 09:40:34	ga_ls7e_ard_3-0-0_095067_2013-01-08_final
2013-03-04 11:32:24	ga_ls7e_ard_3-0-0_112084_2013-03-04_final
2014-02-08 10:06:00	ga_ls7e_ard_3-0-0_099067_2014-02-08_final
2014-02-18 10:43:19	ga_ls7e_ard_3-0-0_105068_2014-02-18_final
2014-09-08 09:42:04	ga_ls7e_ard_3-0-0_095067_2014-09-08_final
2015-06-18 09:33:52	ga_ls7e_ard_3-0-0_092088_2015-06-18_final
2015-08-10 09:44:14	ga_ls7e_ard_3-0-0_095067_2015-08-10_final
2015-12-05 10:10:43	ga_ls7e_ard_3-0-0_098084_2015-12-05_final
2016-02-05 10:21:32	ga_ls7e_ard_3-0-0_100078_2016-02-05_final
2016-11-22 09:14:39	ga_ls7e_ard_3-0-0_089079_2016-11-21_final
2017-06-20 10:42:04	ga_ls7e_ard_3-0-0_103081_2017-06-20_final
2017-07-28 11:44:41	ga_ls7e_ard_3-0-0_113083_2017-07-28_final
2017-07-30 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-07-30_final
2018-12-13 09:59:56	ga_ls7e_ard_3-0-0_098070_2018-12-13_final
2018-12-31 09:45:51	ga_ls7e_ard_3-0-0_096067_2018-12-31_final
2019-08-05 09:34:02	ga_ls7e_ard_3-0-0_095072_2019-08-05_final
2019-12-31 10:41:07	ga_ls7e_ard_3-1-0_107071_2019-12-31_final
2020-01-22 10:07:19	ga_ls7e_ard_3-1-0_101082_2020-01-22_final
2020-01-28 11:05:14	ga_ls7e_ard_3-1-0_111073_2020-01-28_final
2020-03-17 10:10:13	ga_ls7e_ard_3-1-0_102081_2020-03-17_final
2020-09-13 09:35:23	ga_ls7e_ard_3-1-0_098083_2020-09-13_final
2020-10-20 09:46:45	ga_ls7e_ard_3-1-0_101071_2020-10-20_final
2020-11-22 10:28:33	ga_ls7e_ard_3-1-0_108073_2020-11-22_final
2020-12-25 09:32:05	ga_ls7e_ard_3-1-0_099077_2020-12-25_final
2021-02-06 10:48:10	ga_ls7e_ard_3-2-0_112074_2021-02-06_final
2021-09-27 08:40:48	ga_ls7e_ard_3-2-0_095067_2021-09-26_final
2021-12-06 09:39:43	ga_ls7e_ard_3-2-1_105076_2021-12-06_final
2022-03-03 09:35:23	ga_ls7e_ard_3-2-1_106071_2022-03-03_final
2022-03-27 08:42:48	ga_ls7e_ard_3-2-1_098069_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years