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
2000-04-05 10:59:58	ga_ls7e_ard_3-0-0_108074_2000-04-05_final
2000-04-13 10:14:00	ga_ls7e_ard_3-0-0_100083_2000-04-13_final
2000-06-01 10:53:41	ga_ls7e_ard_3-0-0_107075_2000-06-01_final
2000-07-26 10:56:45	ga_ls7e_ard_3-0-0_108069_2000-07-26_final
2000-10-16 10:46:06	ga_ls7e_ard_3-0-0_106076_2000-10-16_final
2000-11-05 10:19:37	ga_ls7e_ard_3-0-0_102071_2000-11-05_final
2001-04-09 10:03:12	ga_ls7e_ard_3-0-0_099077_2001-04-09_final
2001-06-16 09:33:58	ga_ls7e_ard_3-0-0_095067_2001-06-16_final
2001-07-06 10:51:08	ga_ls7e_ard_3-0-0_107075_2001-07-06_final
2001-07-09 09:39:57	ga_ls7e_ard_3-0-0_096067_2001-07-09_final
2002-01-07 10:44:42	ga_ls7e_ard_3-0-0_106076_2002-01-07_final
2002-01-19 09:27:03	ga_ls7e_ard_3-1-0_094067_2002-01-18_final
2002-03-03 10:48:43	ga_ls7e_ard_3-0-0_107070_2002-03-03_final
2002-05-13 10:54:18	ga_ls7e_ard_3-0-0_108069_2002-05-13_final
2003-03-31 10:44:41	ga_ls7e_ard_3-0-0_106076_2003-03-31_final
2003-05-16 10:54:15	ga_ls7e_ard_3-0-0_108069_2003-05-16_final
2003-07-28 10:50:14	ga_ls7e_ard_3-0-0_107075_2003-07-28_final
2003-12-12 10:44:44	ga_ls7e_ard_3-0-0_106076_2003-12-12_final
2004-01-07 09:39:30	ga_ls7e_ard_3-0-0_096067_2004-01-07_final
2004-01-18 11:03:30	ga_ls7e_ard_3-0-0_109076_2004-01-18_final
2004-01-27 10:54:36	ga_ls7e_ard_3-0-0_108069_2004-01-27_final
2004-03-11 09:39:49	ga_ls7e_ard_3-0-0_096067_2004-03-11_final
2004-04-18 10:45:07	ga_ls7e_ard_3-0-0_106076_2004-04-18_final
2004-04-30 11:09:28	ga_ls7e_ard_3-0-0_110075_2004-04-30_final
2004-06-19 09:22:28	ga_ls7e_ard_3-0-0_092086_2004-06-18_final
2005-01-31 09:06:57	ga_ls7e_ard_3-0-0_090077_2005-01-30_final
2005-03-20 10:45:41	ga_ls7e_ard_3-0-0_106076_2005-03-20_final
2005-04-21 10:45:07	ga_ls7e_ard_3-1-0_106075_2005-04-21_final
2005-08-05 09:39:58	ga_ls7e_ard_3-0-0_096067_2005-08-05_final
2005-12-17 10:45:36	ga_ls7e_ard_3-0-0_106076_2005-12-17_final
2006-10-27 09:40:16	ga_ls7e_ard_3-0-0_096067_2006-10-27_final
2007-04-13 08:57:15	ga_ls7e_ard_3-0-0_088081_2007-04-12_final
2007-08-18 09:53:34	ga_ls7e_ard_3-0-0_097084_2007-08-18_final
2008-02-29 10:23:28	ga_ls7e_ard_3-0-0_102081_2008-02-29_final
2008-05-25 09:40:31	ga_ls7e_ard_3-0-0_096067_2008-05-25_final
2009-10-21 09:36:03	ga_ls7e_ard_3-0-0_094086_2009-10-21_final
2010-05-28 09:20:35	ga_ls7e_ard_3-0-0_091089_2010-05-27_final
2010-07-09 11:33:51	ga_ls7e_ard_3-0-0_113082_2010-07-09_final
2011-03-25 10:26:49	ga_ls7e_ard_3-0-0_102081_2011-03-25_final
2011-06-16 09:22:03	ga_ls7e_ard_3-0-0_091089_2011-06-15_final
2011-09-28 10:02:22	ga_ls7e_ard_3-0-0_099067_2011-09-28_final
2011-12-28 09:44:34	ga_ls7e_ard_3-0-0_096067_2011-12-28_final
2012-02-11 09:22:35	ga_ls7e_ard_3-0-0_091089_2012-02-10_final
2012-08-24 09:45:48	ga_ls7e_ard_3-0-0_096067_2012-08-24_final
2012-12-15 10:35:55	ga_ls7e_ard_3-0-0_103082_2012-12-15_final
2013-02-10 10:29:52	ga_ls7e_ard_3-0-0_102082_2013-02-10_final
2013-07-10 09:46:00	ga_ls7e_ard_3-0-0_096067_2013-07-10_final
2014-01-16 11:38:25	ga_ls7e_ard_3-0-0_114067_2014-01-16_final
2015-01-31 10:31:55	ga_ls7e_ard_3-0-0_102081_2015-01-31_final
2015-02-12 09:16:09	ga_ls7e_ard_3-0-0_090077_2015-02-11_final
2015-08-01 09:50:22	ga_ls7e_ard_3-0-0_096067_2015-08-01_final
2015-09-18 09:50:32	ga_ls7e_ard_3-0-0_096067_2015-09-18_final
2015-12-07 09:57:36	ga_ls7e_ard_3-0-0_096082_2015-12-07_final
2016-06-23 11:44:36	ga_ls7e_ard_3-0-0_113083_2016-06-23_final
2016-10-06 09:53:21	ga_ls7e_ard_3-0-0_096067_2016-10-06_final
2016-11-16 11:26:13	ga_ls7e_ard_3-0-0_111068_2016-11-16_final
2017-07-17 10:24:45	ga_ls7e_ard_3-0-0_100084_2017-07-17_final
2017-10-29 09:36:53	ga_ls7e_ard_3-0-0_092088_2017-10-29_final
2017-10-30 10:18:09	ga_ls7e_ard_3-0-0_099083_2017-10-30_final
2018-12-08 09:40:20	ga_ls7e_ard_3-0-0_095067_2018-12-08_final
2019-01-28 10:14:04	ga_ls7e_ard_3-0-0_100078_2019-01-28_final
2019-07-05 10:22:07	ga_ls7e_ard_3-0-0_102081_2019-07-05_final
2019-08-23 11:01:00	ga_ls7e_ard_3-1-0_109075_2019-08-23_final
2020-01-19 09:30:35	ga_ls7e_ard_3-1-0_096067_2020-01-19_final
2020-01-20 10:15:47	ga_ls7e_ard_3-1-0_103072_2020-01-20_final
2020-02-20 09:28:57	ga_ls7e_ard_3-1-0_096067_2020-02-19_final
2020-02-26 10:33:38	ga_ls7e_ard_3-1-0_106075_2020-02-26_final
2020-05-04 10:07:27	ga_ls7e_ard_3-1-0_102081_2020-05-04_final
2020-05-25 10:22:42	ga_ls7e_ard_3-1-0_105076_2020-05-25_final
2020-07-12 08:42:35	ga_ls7e_ard_3-1-0_089080_2020-07-11_final
2020-08-17 09:55:17	ga_ls7e_ard_3-1-0_101082_2020-08-17_final
2020-10-31 09:25:53	ga_ls7e_ard_3-1-0_098067_2020-10-30_final
2020-11-07 09:35:34	ga_ls7e_ard_3-1-0_099077_2020-11-07_final
2021-08-23 08:21:22	ga_ls7e_ard_3-2-0_090088_2021-08-22_final
2021-09-26 09:42:30	ga_ls7e_ard_3-2-0_104082_2021-09-26_final
2021-10-04 08:46:22	ga_ls7e_ard_3-2-0_096067_2021-10-03_final
2021-10-16 09:14:25	ga_ls7e_ard_3-2-0_100078_2021-10-15_final
2022-01-13 08:59:20	ga_ls7e_ard_3-2-1_099077_2022-01-12_final
2022-04-03 08:51:53	ga_ls7e_ard_3-2-1_099078_2022-04-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years