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

56 results

Time (local)	Label
2000-01-21 11:16:29	ga_ls7e_ard_3-0-0_111068_2000-01-21_final
2000-02-22 11:18:18	ga_ls7e_ard_3-0-0_111073_2000-02-22_final
2000-04-13 10:14:00	ga_ls7e_ard_3-0-0_100083_2000-04-13_final
2000-04-19 09:30:29	ga_ls7e_ard_3-1-0_094067_2000-04-19_final
2001-02-08 11:16:05	ga_ls7e_ard_3-1-0_111073_2001-02-08_final
2001-02-11 10:10:31	ga_ls7e_ard_3-0-0_100079_2001-02-11_final
2001-02-20 10:00:20	ga_ls7e_ard_3-0-0_099069_2001-02-20_final
2001-04-02 11:37:31	ga_ls7e_ard_3-0-0_114081_2001-04-02_final
2001-09-12 10:26:48	ga_ls7e_ard_3-0-0_103078_2001-09-12_final
2002-01-03 09:26:51	ga_ls7e_ard_3-1-0_094067_2002-01-02_final
2002-01-29 10:05:42	ga_ls7e_ard_3-0-0_100071_2002-01-29_final
2002-06-15 10:02:02	ga_ls7e_ard_3-0-0_099078_2002-06-15_final
2002-12-05 09:26:29	ga_ls7e_ard_3-1-0_094067_2002-12-04_final
2002-12-28 09:32:45	ga_ls7e_ard_3-0-0_095067_2002-12-28_final
2003-09-25 08:55:19	ga_ls7e_ard_3-0-0_088082_2003-09-24_final
2004-04-07 11:06:33	ga_ls7e_ard_3-0-0_109083_2004-04-07_final
2005-03-02 11:00:25	ga_ls7e_ard_3-0-0_108082_2005-03-02_final
2006-09-05 10:08:54	ga_ls7e_ard_3-0-0_100077_2006-09-05_final
2007-05-30 11:25:54	ga_ls7e_ard_3-0-0_113067_2007-05-30_final
2007-07-15 11:42:36	ga_ls7e_ard_3-0-0_115078_2007-07-15_final
2007-07-19 09:36:35	ga_ls7e_ard_3-0-0_095072_2007-07-19_final
2007-11-20 10:00:05	ga_ls7e_ard_3-0-0_099069_2007-11-20_final
2007-12-28 11:03:16	ga_ls7e_ard_3-0-0_109072_2007-12-28_final
2008-09-18 09:18:20	ga_ls7e_ard_3-0-0_092076_2008-09-17_final
2009-03-08 10:42:18	ga_ls7e_ard_3-0-0_105082_2009-03-08_final
2009-05-05 09:34:49	ga_ls7e_ard_3-0-0_095067_2009-05-05_final
2009-10-05 09:28:20	ga_ls7e_ard_3-1-0_094067_2009-10-04_final
2009-11-09 10:06:26	ga_ls7e_ard_3-0-0_099084_2009-11-09_final
2010-02-20 10:11:15	ga_ls7e_ard_3-0-0_100077_2010-02-20_final
2010-11-10 10:20:31	ga_ls7e_ard_3-0-0_101083_2010-11-10_final
2010-11-28 10:03:12	ga_ls7e_ard_3-0-0_099070_2010-11-28_final
2011-06-11 10:38:49	ga_ls7e_ard_3-0-0_104080_2011-06-11_final
2011-07-06 10:31:22	ga_ls7e_ard_3-0-0_103077_2011-07-06_final
2012-03-17 09:47:54	ga_ls7e_ard_3-0-0_096075_2012-03-17_final
2012-10-15 09:29:58	ga_ls7e_ard_3-1-0_092088_2012-10-14_final
2012-11-21 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-11-21_final
2012-12-11 10:56:13	ga_ls7e_ard_3-0-0_107071_2012-12-11_final
2013-05-11 11:07:00	ga_ls7e_ard_3-0-0_108083_2013-05-11_final
2013-05-28 10:08:55	ga_ls7e_ard_3-0-0_099077_2013-05-28_final
2014-05-03 09:41:38	ga_ls7e_ard_3-0-0_095067_2014-05-03_final
2015-04-29 09:37:31	ga_ls7e_ard_3-1-0_094067_2015-04-29_final
2015-11-21 11:30:16	ga_ls7e_ard_3-0-0_112067_2015-11-21_final
2016-08-17 10:12:45	ga_ls7e_ard_3-0-0_098085_2016-08-17_final
2016-11-11 09:33:14	ga_ls7e_ard_3-0-0_092079_2016-11-11_final
2017-07-23 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-23_final
2017-07-25 09:36:30	ga_ls7e_ard_3-0-0_092087_2017-07-25_final
2017-11-15 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-11-15_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2020-01-13 10:13:33	ga_ls7e_ard_3-1-0_102081_2020-01-13_final
2020-03-04 10:42:38	ga_ls7e_ard_3-1-0_107083_2020-03-04_final
2020-11-27 09:05:28	ga_ls7e_ard_3-1-0_095067_2020-11-26_final
2021-03-15 09:26:59	ga_ls7e_ard_3-2-0_099079_2021-03-14_final
2021-04-10 08:25:04	ga_ls7e_ard_3-2-0_089084_2021-04-09_final
2021-04-25 09:17:01	ga_ls7e_ard_3-2-0_098078_2021-04-24_final
2022-01-27 09:12:45	ga_ls7e_ard_3-2-1_101083_2022-01-26_final
2022-01-28 08:16:14	ga_ls7e_ard_3-2-1_092081_2022-01-27_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