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

58 results

Time (local)	Label
1999-12-07 10:14:11	ga_ls7e_ard_3-0-0_100082_1999-12-07_final
2001-01-21 09:48:05	ga_ls7e_ard_3-0-0_097069_2001-01-21_final
2002-04-28 10:01:56	ga_ls7e_ard_3-0-0_099077_2002-04-28_final
2002-09-08 10:21:13	ga_ls7e_ard_3-0-0_102081_2002-09-08_final
2003-02-10 10:01:47	ga_ls7e_ard_3-0-0_099077_2003-02-10_final
2003-07-24 09:40:54	ga_ls7e_ard_3-0-0_095087_2003-07-24_final
2003-08-22 10:41:59	ga_ls7e_ard_3-0-0_106070_2003-08-22_final
2003-11-15 11:02:42	ga_ls7e_ard_3-0-0_109075_2003-11-15_final
2004-11-27 09:59:48	ga_ls7e_ard_3-0-0_099071_2004-11-27_final
2005-07-02 09:59:32	ga_ls7e_ard_3-0-0_098085_2005-07-02_final
2005-08-03 09:53:32	ga_ls7e_ard_3-0-0_098070_2005-08-03_final
2005-11-09 09:40:01	ga_ls7e_ard_3-0-0_096067_2005-11-09_final
2006-01-30 09:30:36	ga_ls7e_ard_3-0-0_094073_2006-01-30_final
2006-04-01 09:06:11	ga_ls7e_ard_3-0-0_089089_2006-03-31_final
2006-06-18 09:18:03	ga_ls7e_ard_3-0-0_091088_2006-06-17_final
2007-03-09 10:00:02	ga_ls7e_ard_3-0-0_099068_2007-03-09_final
2007-03-25 10:00:04	ga_ls7e_ard_3-0-0_099068_2007-03-25_final
2007-10-20 10:48:13	ga_ls7e_ard_3-0-0_106082_2007-10-20_final
2007-12-12 11:06:01	ga_ls7e_ard_3-0-0_109079_2007-12-12_final
2008-06-18 08:56:51	ga_ls7e_ard_3-0-0_088082_2008-06-17_final
2009-02-02 10:50:45	ga_ls7e_ard_3-0-0_107073_2009-02-02_final
2009-02-09 09:24:05	ga_ls7e_ard_3-0-0_092088_2009-02-08_final
2009-03-14 09:59:40	ga_ls7e_ard_3-0-0_099068_2009-03-14_final
2010-01-01 10:24:57	ga_ls7e_ard_3-0-0_102082_2010-01-01_final
2010-06-12 10:11:26	ga_ls7e_ard_3-0-0_100077_2010-06-12_final
2010-12-30 10:03:29	ga_ls7e_ard_3-0-0_099070_2010-12-30_final
2011-01-19 11:19:00	ga_ls7e_ard_3-0-0_111073_2011-01-19_final
2011-02-25 09:58:51	ga_ls7e_ard_3-0-0_098073_2011-02-25_final
2011-07-07 11:17:01	ga_ls7e_ard_3-0-0_110083_2011-07-07_final
2011-11-24 09:57:49	ga_ls7e_ard_3-0-0_098070_2011-11-24_final
2011-11-24 09:59:01	ga_ls7e_ard_3-0-0_098073_2011-11-24_final
2012-12-19 10:06:03	ga_ls7e_ard_3-0-0_099069_2012-12-19_final
2013-01-04 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-04_final
2013-01-28 11:01:09	ga_ls7e_ard_3-0-0_107083_2013-01-28_final
2013-03-22 09:34:19	ga_ls7e_ard_3-1-0_094067_2013-03-22_final
2014-04-29 10:07:56	ga_ls7e_ard_3-0-0_099071_2014-04-29_final
2014-06-02 09:54:58	ga_ls7e_ard_3-0-0_097069_2014-06-02_final
2014-06-23 10:17:32	ga_ls7e_ard_3-0-0_100079_2014-06-23_final
2014-08-21 09:55:12	ga_ls7e_ard_3-0-0_097069_2014-08-21_final
2015-04-16 10:12:20	ga_ls7e_ard_3-0-0_099077_2015-04-16_final
2015-08-13 10:19:08	ga_ls7e_ard_3-0-0_100077_2015-08-13_final
2016-01-13 11:52:48	ga_ls7e_ard_3-0-0_115075_2016-01-13_final
2017-05-02 09:53:02	ga_ls7e_ard_3-0-0_096067_2017-05-02_final
2017-06-30 09:37:53	ga_ls7e_ard_3-0-0_093075_2017-06-30_final
2017-07-23 11:26:33	ga_ls7e_ard_3-0-0_110084_2017-07-23_final
2018-02-07 11:26:53	ga_ls7e_ard_3-0-0_111072_2018-02-07_final
2018-02-15 10:37:22	ga_ls7e_ard_3-0-0_103072_2018-02-15_final
2018-04-21 09:41:40	ga_ls7e_ard_3-0-0_094074_2018-04-21_final
2019-06-14 10:03:34	ga_ls7e_ard_3-0-0_099079_2019-06-14_final
2020-03-03 09:59:49	ga_ls7e_ard_3-1-0_100084_2020-03-03_final
2020-04-06 09:39:35	ga_ls7e_ard_3-1-0_098069_2020-04-06_final
2020-06-25 09:34:26	ga_ls7e_ard_3-1-0_098068_2020-06-25_final
2020-07-16 09:57:42	ga_ls7e_ard_3-1-0_101083_2020-07-16_final
2020-11-23 09:31:16	ga_ls7e_ard_3-1-0_099069_2020-11-23_final
2021-06-05 09:03:47	ga_ls7e_ard_3-2-0_097069_2021-06-04_final
2021-06-12 10:47:29	ga_ls7e_ard_3-2-0_114067_2021-06-12_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-07-05 09:16:28	ga_ls7e_ard_3-2-0_099076_2021-07-04_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