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
1999-10-08 11:28:30	ga_ls7e_ard_3-0-0_112082_1999-10-08_final
1999-11-30 10:03:06	ga_ls7e_ard_3-0-0_099070_1999-11-30_final
2000-01-28 09:43:24	ga_ls7e_ard_3-0-0_096067_2000-01-28_final
2000-04-05 09:25:53	ga_ls7e_ard_3-0-0_092086_2000-04-04_final
2000-04-17 09:42:52	ga_ls7e_ard_3-0-0_096067_2000-04-17_final
2000-06-03 09:08:00	ga_ls7e_ard_3-0-0_089089_2000-06-02_final
2000-06-17 09:19:55	ga_ls7e_ard_3-0-0_091088_2000-06-16_final
2000-06-17 10:53:37	ga_ls7e_ard_3-0-0_107075_2000-06-17_final
2000-10-16 10:46:06	ga_ls7e_ard_3-0-0_106076_2000-10-16_final
2000-12-06 11:16:23	ga_ls7e_ard_3-0-0_111074_2000-12-06_final
2000-12-19 10:46:24	ga_ls7e_ard_3-0-0_106076_2000-12-19_final
2001-07-06 10:51:08	ga_ls7e_ard_3-0-0_107075_2001-07-06_final
2001-10-17 10:53:49	ga_ls7e_ard_3-0-0_108069_2001-10-17_final
2002-02-11 11:14:12	ga_ls7e_ard_3-0-0_111072_2002-02-11_final
2002-03-16 10:22:30	ga_ls7e_ard_3-0-0_102082_2002-03-16_final
2002-07-02 10:44:25	ga_ls7e_ard_3-0-0_106076_2002-07-02_final
2002-07-11 09:04:30	ga_ls7e_ard_3-0-0_089089_2002-07-10_final
2002-11-21 10:53:39	ga_ls7e_ard_3-0-0_108069_2002-11-21_final
2003-01-18 09:56:12	ga_ls7e_ard_3-0-0_098079_2003-01-18_final
2003-05-12 09:39:19	ga_ls7e_ard_3-0-0_096067_2003-05-12_final
2004-01-13 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-01-13_final
2004-09-23 10:56:09	ga_ls7e_ard_3-0-0_108074_2004-09-23_final
2005-04-19 10:55:05	ga_ls7e_ard_3-0-0_108069_2005-04-19_final
2005-05-03 11:12:41	ga_ls7e_ard_3-0-0_110082_2005-05-03_final
2005-06-22 10:54:58	ga_ls7e_ard_3-0-0_108069_2005-06-22_final
2005-08-20 10:41:30	ga_ls7e_ard_3-0-0_105082_2005-08-20_final
2005-09-28 10:45:03	ga_ls7e_ard_3-0-0_106076_2005-09-28_final
2005-10-03 11:02:47	ga_ls7e_ard_3-0-0_109074_2005-10-03_final
2005-11-30 10:00:42	ga_ls7e_ard_3-0-0_099072_2005-11-30_final
2006-02-19 10:44:04	ga_ls7e_ard_3-0-0_106071_2006-02-19_final
2006-04-26 08:56:21	ga_ls7e_ard_3-0-0_088080_2006-04-25_final
2006-08-08 09:40:16	ga_ls7e_ard_3-0-0_096067_2006-08-08_final
2006-09-02 11:15:18	ga_ls7e_ard_3-0-0_111073_2006-09-02_final
2007-02-04 10:55:55	ga_ls7e_ard_3-0-0_108069_2007-02-04_final
2007-03-21 10:29:58	ga_ls7e_ard_3-0-0_103081_2007-03-21_final
2007-06-23 09:04:22	ga_ls7e_ard_3-0-0_089084_2007-06-22_final
2007-09-02 10:44:17	ga_ls7e_ard_3-0-0_106072_2007-09-02_final
2007-11-28 09:17:53	ga_ls7e_ard_3-0-0_091087_2007-11-27_final
2008-02-06 10:15:00	ga_ls7e_ard_3-1-0_101075_2008-02-06_final
2008-04-07 09:40:44	ga_ls7e_ard_3-0-0_096067_2008-04-07_final
2008-08-29 09:45:38	ga_ls7e_ard_3-1-0_096082_2008-08-29_final
2008-12-27 10:35:36	ga_ls7e_ard_3-0-0_104082_2008-12-27_final
2009-02-24 10:17:04	ga_ls7e_ard_3-0-0_101081_2009-02-24_final
2009-06-08 11:07:21	ga_ls7e_ard_3-0-0_109082_2009-06-08_final
2009-11-02 09:54:34	ga_ls7e_ard_3-0-0_098070_2009-11-02_final
2010-03-12 09:42:42	ga_ls7e_ard_3-0-0_096067_2010-03-12_final
2010-03-30 11:14:54	ga_ls7e_ard_3-0-0_110081_2010-03-30_final
2010-04-14 10:26:52	ga_ls7e_ard_3-0-0_103069_2010-04-14_final
2010-07-18 09:42:49	ga_ls7e_ard_3-0-0_096067_2010-07-18_final
2010-10-01 09:32:14	ga_ls7e_ard_3-1-0_093087_2010-10-01_final
2011-03-21 09:12:15	ga_ls7e_ard_3-0-0_090080_2011-03-20_final
2011-05-20 09:34:35	ga_ls7e_ard_3-0-0_094074_2011-05-20_final
2011-05-22 11:04:43	ga_ls7e_ard_3-0-0_108083_2011-05-22_final
2011-09-06 10:45:32	ga_ls7e_ard_3-0-0_105082_2011-09-06_final
2011-12-24 10:13:38	ga_ls7e_ard_3-0-0_100078_2011-12-24_final
2012-03-05 09:19:58	ga_ls7e_ard_3-0-0_092067_2012-03-04_final
2012-06-07 11:17:01	ga_ls7e_ard_3-0-0_110081_2012-06-07_final
2012-07-23 09:45:27	ga_ls7e_ard_3-0-0_096067_2012-07-23_final
2012-10-24 10:56:23	ga_ls7e_ard_3-0-0_107072_2012-10-24_final
2013-08-16 10:11:12	ga_ls7e_ard_3-0-0_099084_2013-08-16_final
2014-01-11 09:40:52	ga_ls7e_ard_3-0-0_095067_2014-01-11_final
2014-04-15 11:35:31	ga_ls7e_ard_3-0-0_113074_2014-04-15_final
2014-09-08 09:42:04	ga_ls7e_ard_3-0-0_095067_2014-09-08_final
2014-12-02 11:40:12	ga_ls7e_ard_3-0-0_114067_2014-12-02_final
2015-10-29 09:46:49	ga_ls7e_ard_3-0-0_095072_2015-10-29_final
2015-12-28 11:54:08	ga_ls7e_ard_3-0-0_115079_2015-12-28_final
2017-01-23 11:01:49	ga_ls7e_ard_3-0-0_107070_2017-01-23_final
2017-02-15 09:36:36	ga_ls7e_ard_3-0-0_092089_2017-02-15_final
2017-04-12 10:22:01	ga_ls7e_ard_3-0-0_100078_2017-04-12_final
2017-04-22 11:01:10	ga_ls7e_ard_3-0-0_106083_2017-04-22_final
2017-05-07 10:11:59	ga_ls7e_ard_3-0-0_099068_2017-05-07_final
2018-01-01 11:13:42	ga_ls7e_ard_3-0-0_108084_2018-01-01_final
2018-05-03 10:07:22	ga_ls7e_ard_3-0-0_098077_2018-05-03_final
2018-06-12 10:55:21	ga_ls7e_ard_3-1-0_106075_2018-06-12_final
2018-07-12 11:05:07	ga_ls7e_ard_3-0-0_108070_2018-07-12_final
2018-09-18 10:43:52	ga_ls7e_ard_3-0-0_104082_2018-09-18_final
2018-09-23 09:25:01	ga_ls7e_ard_3-1-0_091086_2018-09-22_final
2018-11-13 09:53:56	ga_ls7e_ard_3-0-0_096084_2018-11-13_final
2019-10-02 10:10:38	ga_ls7e_ard_3-1-0_101077_2019-10-02_final
2020-01-10 09:42:47	ga_ls7e_ard_3-1-0_097081_2020-01-10_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-01-16 10:39:54	ga_ls7e_ard_3-1-0_107070_2020-01-16_final
2020-02-18 09:48:12	ga_ls7e_ard_3-1-0_098084_2020-02-18_final
2020-03-28 09:46:41	ga_ls7e_ard_3-1-0_099070_2020-03-28_final
2020-12-13 09:04:17	ga_ls7e_ard_3-1-0_095067_2020-12-12_final
2021-02-13 09:13:45	ga_ls7e_ard_3-2-0_097071_2021-02-12_final
2021-06-03 09:16:43	ga_ls7e_ard_3-2-0_099070_2021-06-02_final
2021-07-06 09:59:39	ga_ls7e_ard_3-2-0_106076_2021-07-06_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2022-01-11 09:09:53	ga_ls7e_ard_3-2-1_101072_2022-01-10_final
2022-01-15 08:49:59	ga_ls7e_ard_3-2-1_097085_2022-01-14_final
2022-01-21 08:08:44	ga_ls7e_ard_3-2-1_091076_2022-01-20_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