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

86 results

Time (local)	Label
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2000-06-25 10:04:51	ga_ls7e_ard_3-0-0_099077_2000-06-25_final
2001-02-12 10:52:11	ga_ls7e_ard_3-0-0_107075_2001-02-12_final
2001-03-13 10:23:34	ga_ls7e_ard_3-0-0_102081_2001-03-13_final
2001-06-05 09:59:24	ga_ls7e_ard_3-0-0_098084_2001-06-05_final
2001-06-19 10:08:49	ga_ls7e_ard_3-0-0_100077_2001-06-19_final
2001-09-29 11:11:05	ga_ls7e_ard_3-0-0_110081_2001-09-29_final
2001-12-10 10:21:52	ga_ls7e_ard_3-0-0_102081_2001-12-10_final
2002-02-18 11:21:07	ga_ls7e_ard_3-0-0_112074_2002-02-18_final
2002-11-02 10:27:16	ga_ls7e_ard_3-0-0_103081_2002-11-02_final
2003-01-08 10:55:27	ga_ls7e_ard_3-0-0_108073_2003-01-08_final
2003-08-30 11:32:59	ga_ls7e_ard_3-0-0_114074_2003-08-30_final
2004-03-24 10:51:50	ga_ls7e_ard_3-0-0_107077_2004-03-24_final
2004-11-02 10:08:10	ga_ls7e_ard_3-0-0_100077_2004-11-02_final
2005-08-30 09:40:25	ga_ls7e_ard_3-0-0_095084_2005-08-30_final
2005-09-16 10:22:19	ga_ls7e_ard_3-0-0_102081_2005-09-16_final
2005-11-15 10:46:16	ga_ls7e_ard_3-0-0_106078_2005-11-15_final
2005-12-12 10:25:28	ga_ls7e_ard_3-0-0_103072_2005-12-12_final
2006-03-05 09:23:57	ga_ls7e_ard_3-0-0_092087_2006-03-04_final
2006-03-29 10:06:59	ga_ls7e_ard_3-0-0_100071_2006-03-29_final
2006-07-14 11:31:50	ga_ls7e_ard_3-0-0_113083_2006-07-14_final
2006-09-14 09:59:52	ga_ls7e_ard_3-0-0_099070_2006-09-14_final
2006-12-04 10:45:41	ga_ls7e_ard_3-1-0_106075_2006-12-04_final
2007-01-30 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-01-30_final
2007-11-18 10:18:01	ga_ls7e_ard_3-0-0_101083_2007-11-18_final
2008-02-14 09:25:07	ga_ls7e_ard_3-0-0_093074_2008-02-13_final
2008-03-08 11:12:51	ga_ls7e_ard_3-0-0_110081_2008-03-08_final
2008-04-19 10:07:01	ga_ls7e_ard_3-0-0_100071_2008-04-19_final
2008-10-15 09:01:11	ga_ls7e_ard_3-0-0_089080_2008-10-14_final
2009-02-11 09:11:45	ga_ls7e_ard_3-0-0_090088_2009-02-10_final
2009-02-11 10:42:39	ga_ls7e_ard_3-0-0_106068_2009-02-11_final
2009-05-24 10:09:45	ga_ls7e_ard_3-0-0_100077_2009-05-24_final
2009-12-05 09:07:20	ga_ls7e_ard_3-0-0_089090_2009-12-04_final
2009-12-27 10:07:07	ga_ls7e_ard_3-0-0_099084_2009-12-27_final
2010-03-19 09:51:43	ga_ls7e_ard_3-0-0_097074_2010-03-19_final
2010-04-02 10:03:20	ga_ls7e_ard_3-0-0_099072_2010-04-02_final
2010-05-13 10:01:52	ga_ls7e_ard_3-0-0_098084_2010-05-13_final
2010-06-26 10:20:15	ga_ls7e_ard_3-0-0_102068_2010-06-26_final
2011-02-12 10:29:16	ga_ls7e_ard_3-0-0_103072_2011-02-12_final
2011-05-26 10:39:36	ga_ls7e_ard_3-0-0_104082_2011-05-26_final
2011-06-29 10:26:46	ga_ls7e_ard_3-0-0_102081_2011-06-29_final
2012-09-03 10:28:35	ga_ls7e_ard_3-0-0_102081_2012-09-03_final
2012-09-20 11:09:36	ga_ls7e_ard_3-0-0_109075_2012-09-20_final
2013-03-02 10:05:52	ga_ls7e_ard_3-0-0_098084_2013-03-02_final
2013-06-29 11:46:21	ga_ls7e_ard_3-0-0_115074_2013-06-29_final
2014-01-25 09:55:08	ga_ls7e_ard_3-0-0_097071_2014-01-25_final
2014-06-15 09:31:15	ga_ls7e_ard_3-0-0_092087_2014-06-15_final
2014-11-24 10:51:05	ga_ls7e_ard_3-0-0_106068_2014-11-24_final
2015-03-03 11:22:10	ga_ls7e_ard_3-0-0_111067_2015-03-03_final
2015-05-25 10:21:33	ga_ls7e_ard_3-0-0_100084_2015-05-25_final
2015-11-07 11:17:40	ga_ls7e_ard_3-0-0_110067_2015-11-07_final
2016-05-15 11:31:52	ga_ls7e_ard_3-0-0_112067_2016-05-15_final
2017-10-30 10:18:09	ga_ls7e_ard_3-0-0_099083_2017-10-30_final
2018-04-01 10:08:18	ga_ls7e_ard_3-0-0_098078_2018-04-01_final
2018-05-20 10:49:57	ga_ls7e_ard_3-0-0_105076_2018-05-20_final
2018-07-12 11:06:43	ga_ls7e_ard_3-0-0_108074_2018-07-12_final
2018-07-29 11:51:17	ga_ls7e_ard_3-0-0_115078_2018-07-29_final
2019-01-21 10:04:55	ga_ls7e_ard_3-0-0_099070_2019-01-21_final
2019-02-22 10:04:21	ga_ls7e_ard_3-1-0_099071_2019-02-22_final
2019-03-03 11:35:10	ga_ls7e_ard_3-1-0_114067_2019-03-03_final
2019-04-18 10:11:04	ga_ls7e_ard_3-0-0_100077_2019-04-18_final
2019-08-14 09:25:30	ga_ls7e_ard_3-1-0_094067_2019-08-13_final
2019-08-20 10:27:26	ga_ls7e_ard_3-0-0_104068_2019-08-20_final
2019-10-17 11:04:26	ga_ls7e_ard_3-1-0_110074_2019-10-17_final
2019-10-20 09:57:31	ga_ls7e_ard_3-1-0_099077_2019-10-20_final
2019-10-20 11:35:36	ga_ls7e_ard_3-1-0_115075_2019-10-20_final
2019-12-09 09:42:50	ga_ls7e_ard_3-1-0_097077_2019-12-09_final
2020-03-19 09:56:09	ga_ls7e_ard_3-1-0_100077_2020-03-19_final
2020-04-04 09:58:03	ga_ls7e_ard_3-1-0_100084_2020-04-04_final
2020-08-03 09:41:49	ga_ls7e_ard_3-1-0_099077_2020-08-03_final
2020-08-16 10:44:59	ga_ls7e_ard_3-1-0_110067_2020-08-16_final
2020-09-10 10:40:22	ga_ls7e_ard_3-1-0_109075_2020-09-10_final
2020-09-24 09:17:19	ga_ls7e_ard_3-1-0_095086_2020-09-23_final
2020-11-03 09:56:59	ga_ls7e_ard_3-1-0_103068_2020-11-03_final
2021-01-16 10:31:57	ga_ls7e_ard_3-1-0_109076_2021-01-16_final
2021-03-06 09:33:05	ga_ls7e_ard_3-2-0_100077_2021-03-06_final
2021-03-15 09:28:59	ga_ls7e_ard_3-2-0_099084_2021-03-14_final
2021-04-13 10:30:36	ga_ls7e_ard_3-2-0_110074_2021-04-13_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2021-07-06 09:59:39	ga_ls7e_ard_3-2-0_106076_2021-07-06_final
2021-07-22 08:23:23	ga_ls7e_ard_3-2-0_090086_2021-07-21_final
2021-12-28 10:40:34	ga_ls7e_ard_3-2-1_115079_2021-12-28_final
2022-01-03 09:58:53	ga_ls7e_ard_3-2-1_109069_2022-01-03_final
2022-02-04 09:56:12	ga_ls7e_ard_3-2-1_109070_2022-02-04_final
2022-02-10 09:22:53	ga_ls7e_ard_3-2-1_103081_2022-02-09_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_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