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

61 results

Time (local)	Label
2001-09-16 10:01:37	ga_ls7e_ard_3-0-0_099077_2001-09-16_final
2002-02-12 10:22:10	ga_ls7e_ard_3-0-0_102081_2002-02-12_final
2002-03-03 10:48:43	ga_ls7e_ard_3-0-0_107070_2002-03-03_final
2002-04-27 10:54:21	ga_ls7e_ard_3-0-0_108069_2002-04-27_final
2002-06-28 11:08:20	ga_ls7e_ard_3-0-0_110074_2002-06-28_final
2002-11-07 10:43:28	ga_ls7e_ard_3-1-0_106075_2002-11-07_final
2003-05-05 11:18:50	ga_ls7e_ard_3-0-0_111084_2003-05-05_final
2003-10-18 10:38:02	ga_ls7e_ard_3-0-0_105076_2003-10-18_final
2004-06-17 11:08:55	ga_ls7e_ard_3-0-0_110074_2004-06-17_final
2004-07-23 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-07-23_final
2004-08-01 10:38:38	ga_ls7e_ard_3-0-0_105076_2004-08-01_final
2004-08-07 10:04:19	ga_ls7e_ard_3-0-0_099083_2004-08-07_final
2004-10-30 11:14:55	ga_ls7e_ard_3-0-0_111074_2004-10-30_final
2004-11-26 10:54:37	ga_ls7e_ard_3-0-0_108069_2004-11-26_final
2005-01-02 09:33:46	ga_ls7e_ard_3-0-0_095067_2005-01-02_final
2005-06-27 09:35:48	ga_ls7e_ard_3-0-0_095072_2005-06-27_final
2005-07-03 10:39:12	ga_ls7e_ard_3-0-0_105076_2005-07-03_final
2005-08-01 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-08-01_final
2005-12-10 10:39:25	ga_ls7e_ard_3-0-0_105076_2005-12-10_final
2005-12-15 10:55:10	ga_ls7e_ard_3-0-0_108069_2005-12-15_final
2006-02-10 09:18:06	ga_ls7e_ard_3-0-0_091088_2006-02-09_final
2007-04-30 09:42:03	ga_ls7e_ard_3-0-0_095085_2007-04-30_final
2007-07-31 10:04:03	ga_ls7e_ard_3-0-0_099079_2007-07-31_final
2008-01-04 09:28:35	ga_ls7e_ard_3-1-0_094067_2008-01-03_final
2008-04-07 11:26:24	ga_ls7e_ard_3-1-0_112084_2008-04-07_final
2008-07-08 10:08:47	ga_ls7e_ard_3-0-0_100077_2008-07-08_final
2008-10-17 10:22:57	ga_ls7e_ard_3-0-0_103068_2008-10-17_final
2009-01-16 10:07:00	ga_ls7e_ard_3-0-0_100072_2009-01-16_final
2009-01-21 10:25:34	ga_ls7e_ard_3-0-0_103072_2009-01-21_final
2009-02-15 10:23:10	ga_ls7e_ard_3-0-0_102081_2009-02-15_final
2009-02-16 09:24:45	ga_ls7e_ard_3-0-0_093074_2009-02-15_final
2009-08-28 10:09:28	ga_ls7e_ard_3-0-0_100077_2009-08-28_final
2010-11-27 09:26:19	ga_ls7e_ard_3-0-0_092086_2010-11-26_final
2011-01-12 11:11:35	ga_ls7e_ard_3-0-0_110070_2011-01-12_final
2011-02-13 09:37:39	ga_ls7e_ard_3-0-0_094082_2011-02-13_final
2011-08-11 10:08:55	ga_ls7e_ard_3-0-0_099083_2011-08-11_final
2012-07-01 10:27:50	ga_ls7e_ard_3-0-0_102081_2012-07-01_final
2012-11-14 09:34:10	ga_ls7e_ard_3-1-0_094067_2012-11-14_final
2013-01-15 09:46:43	ga_ls7e_ard_3-0-0_096067_2013-01-15_final
2013-06-13 10:09:35	ga_ls7e_ard_3-0-0_099079_2013-06-13_final
2015-01-21 09:49:08	ga_ls7e_ard_3-0-0_096067_2015-01-21_final
2015-02-05 09:11:36	ga_ls7e_ard_3-1-0_089081_2015-02-04_final
2015-07-01 10:39:28	ga_ls7e_ard_3-0-0_103082_2015-07-01_final
2017-01-15 10:12:28	ga_ls7e_ard_3-0-0_099070_2017-01-15_final
2017-03-13 10:06:42	ga_ls7e_ard_3-0-0_098071_2017-03-13_final
2018-03-09 11:36:56	ga_ls7e_ard_3-0-0_113067_2018-03-09_final
2018-03-23 10:10:38	ga_ls7e_ard_3-0-0_099068_2018-03-23_final
2018-04-11 10:46:50	ga_ls7e_ard_3-0-0_104082_2018-04-11_final
2018-11-05 10:42:46	ga_ls7e_ard_3-0-0_104082_2018-11-05_final
2018-11-09 10:13:34	ga_ls7e_ard_3-0-0_100071_2018-11-09_final
2019-07-06 11:02:33	ga_ls7e_ard_3-0-0_109074_2019-07-06_final
2020-03-12 09:50:45	ga_ls7e_ard_3-1-0_099078_2020-03-12_final
2020-04-22 09:44:39	ga_ls7e_ard_3-1-0_098084_2020-04-22_final
2020-06-08 08:59:45	ga_ls7e_ard_3-1-0_091087_2020-06-07_final
2020-06-17 10:27:08	ga_ls7e_ard_3-1-0_106075_2020-06-17_final
2020-08-08 10:02:03	ga_ls7e_ard_3-1-0_102082_2020-08-08_final
2020-11-20 10:41:51	ga_ls7e_ard_3-1-0_110075_2020-11-20_final
2021-01-26 09:27:51	ga_ls7e_ard_3-2-0_099072_2021-01-25_final
2021-07-29 08:29:21	ga_ls7e_ard_3-2-0_091087_2021-07-28_final
2021-09-20 08:42:27	ga_ls7e_ard_3-2-0_094085_2021-09-19_final
2022-03-22 10:03:36	ga_ls7e_ard_3-2-1_111069_2022-03-22_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