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

57 results

Time (local)	Label
2000-11-04 09:34:46	ga_ls7e_ard_3-0-0_095067_2000-11-04_final
2001-05-15 09:34:17	ga_ls7e_ard_3-0-0_095067_2001-05-15_final
2001-05-27 10:03:19	ga_ls7e_ard_3-0-0_099078_2001-05-27_final
2001-07-29 10:56:44	ga_ls7e_ard_3-0-0_108074_2001-07-29_final
2001-08-30 10:56:15	ga_ls7e_ard_3-0-0_108074_2001-08-30_final
2001-09-20 09:32:51	ga_ls7e_ard_3-0-0_095067_2001-09-20_final
2001-12-29 10:50:24	ga_ls7e_ard_3-0-0_107075_2001-12-29_final
2002-04-20 10:50:32	ga_ls7e_ard_3-0-0_107075_2002-04-20_final
2003-01-25 09:59:13	ga_ls7e_ard_3-0-0_099071_2003-01-25_final
2003-03-02 09:33:06	ga_ls7e_ard_3-0-0_095067_2003-03-02_final
2003-03-30 10:01:49	ga_ls7e_ard_3-0-0_099077_2003-03-30_final
2003-05-21 09:33:04	ga_ls7e_ard_3-0-0_095067_2003-05-21_final
2003-10-25 10:43:56	ga_ls7e_ard_3-1-0_106075_2003-10-25_final
2003-11-03 10:37:48	ga_ls7e_ard_3-0-0_105075_2003-11-03_final
2003-12-28 10:44:52	ga_ls7e_ard_3-0-0_106076_2003-12-28_final
2004-01-12 10:02:26	ga_ls7e_ard_3-0-0_099078_2004-01-12_final
2004-02-01 09:33:29	ga_ls7e_ard_3-0-0_095067_2004-02-01_final
2004-03-15 10:56:48	ga_ls7e_ard_3-0-0_108074_2004-03-15_final
2004-05-07 09:33:35	ga_ls7e_ard_3-0-0_095067_2004-05-07_final
2004-06-12 10:50:49	ga_ls7e_ard_3-0-0_107075_2004-06-12_final
2004-08-22 10:56:20	ga_ls7e_ard_3-0-0_108074_2004-08-22_final
2004-10-10 10:01:37	ga_ls7e_ard_3-0-0_099077_2004-10-10_final
2005-07-14 10:17:30	ga_ls7e_ard_3-0-0_102068_2005-07-14_final
2006-08-12 10:55:14	ga_ls7e_ard_3-0-0_108069_2006-08-12_final
2006-10-31 10:55:17	ga_ls7e_ard_3-0-0_108069_2006-10-31_final
2006-12-28 09:54:21	ga_ls7e_ard_3-0-0_098070_2006-12-28_final
2007-01-25 10:23:32	ga_ls7e_ard_3-0-0_102081_2007-01-25_final
2007-03-13 09:34:56	ga_ls7e_ard_3-0-0_095067_2007-03-13_final
2007-04-30 09:34:52	ga_ls7e_ard_3-0-0_095067_2007-04-30_final
2007-05-11 10:55:57	ga_ls7e_ard_3-0-0_108069_2007-05-11_final
2007-07-30 10:55:41	ga_ls7e_ard_3-0-0_108069_2007-07-30_final
2008-01-20 09:35:46	ga_ls7e_ard_3-0-0_094085_2008-01-20_final
2008-02-02 09:06:26	ga_ls7e_ard_3-1-0_089089_2008-02-01_final
2008-02-22 10:13:44	ga_ls7e_ard_3-0-0_101072_2008-02-22_final
2008-05-18 09:34:23	ga_ls7e_ard_3-0-0_095067_2008-05-18_final
2009-05-01 09:59:56	ga_ls7e_ard_3-0-0_099068_2009-05-01_final
2010-04-24 09:32:14	ga_ls7e_ard_3-0-0_093087_2010-04-24_final
2010-09-13 09:36:42	ga_ls7e_ard_3-0-0_095067_2010-09-13_final
2010-10-04 10:01:59	ga_ls7e_ard_3-0-0_098084_2010-10-04_final
2011-06-15 10:12:53	ga_ls7e_ard_3-0-0_100077_2011-06-15_final
2012-06-29 10:40:33	ga_ls7e_ard_3-0-0_104082_2012-06-29_final
2012-08-02 10:28:13	ga_ls7e_ard_3-0-0_102081_2012-08-02_final
2012-09-18 09:39:51	ga_ls7e_ard_3-0-0_095067_2012-09-18_final
2014-05-19 09:41:45	ga_ls7e_ard_3-0-0_095067_2014-05-19_final
2015-02-19 09:27:13	ga_ls7e_ard_3-0-0_091089_2015-02-18_final
2015-02-27 10:09:10	ga_ls7e_ard_3-0-0_099070_2015-02-27_final
2016-09-26 10:58:44	ga_ls7e_ard_3-0-0_106076_2016-09-26_final
2016-11-16 11:28:13	ga_ls7e_ard_3-0-0_111073_2016-11-16_final
2016-12-02 09:46:55	ga_ls7e_ard_3-0-0_095067_2016-12-02_final
2017-03-08 09:46:32	ga_ls7e_ard_3-0-0_095067_2017-03-08_final
2017-11-25 09:14:15	ga_ls7e_ard_3-0-0_089078_2017-11-24_final
2018-01-03 09:24:50	ga_ls7e_ard_3-0-0_090090_2018-01-02_final
2018-01-06 09:46:30	ga_ls7e_ard_3-0-0_095067_2018-01-06_final
2018-04-08 10:11:11	ga_ls7e_ard_3-0-0_099070_2018-04-08_final
2018-11-06 09:41:08	ga_ls7e_ard_3-0-0_095067_2018-11-06_final
2018-11-22 09:40:45	ga_ls7e_ard_3-0-0_095067_2018-11-22_final
2022-01-14 08:08:25	ga_ls7e_ard_3-2-1_090089_2022-01-13_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