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

54 results

Time (local)	Label
2000-08-26 10:18:50	ga_ls7e_ard_3-0-0_101083_2000-08-26_final
2001-01-20 09:12:24	ga_ls7e_ard_3-0-0_090088_2001-01-19_final
2001-05-04 09:59:48	ga_ls7e_ard_3-0-0_098084_2001-05-04_final
2001-05-31 11:15:26	ga_ls7e_ard_3-0-0_111073_2001-05-31_final
2002-01-06 09:59:02	ga_ls7e_ard_3-0-0_099070_2002-01-06_final
2002-11-11 10:21:08	ga_ls7e_ard_3-0-0_102081_2002-11-11_final
2003-01-21 10:23:32	ga_ls7e_ard_3-0-0_103070_2003-01-21_final
2003-08-06 10:43:58	ga_ls7e_ard_3-1-0_106075_2003-08-06_final
2003-09-26 11:17:52	ga_ls7e_ard_3-0-0_111083_2003-09-26_final
2004-02-05 10:53:15	ga_ls7e_ard_3-0-0_107081_2004-02-05_final
2004-10-14 09:40:10	ga_ls7e_ard_3-0-0_095085_2004-10-14_final
2004-12-06 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-12-06_final
2004-12-26 11:10:24	ga_ls7e_ard_3-0-0_110077_2004-12-26_final
2005-02-17 09:51:58	ga_ls7e_ard_3-0-0_097081_2005-02-17_final
2005-02-17 11:30:51	ga_ls7e_ard_3-0-0_113081_2005-02-17_final
2005-03-11 10:53:51	ga_ls7e_ard_3-0-0_107081_2005-03-11_final
2005-07-06 11:07:43	ga_ls7e_ard_3-0-0_110070_2005-07-06_final
2006-01-22 10:23:11	ga_ls7e_ard_3-0-0_102081_2006-01-22_final
2006-02-23 10:23:20	ga_ls7e_ard_3-0-0_102081_2006-02-23_final
2006-03-15 11:37:31	ga_ls7e_ard_3-0-0_114081_2006-03-15_final
2006-06-23 11:08:16	ga_ls7e_ard_3-0-0_110070_2006-06-23_final
2006-07-09 11:08:09	ga_ls7e_ard_3-0-0_110070_2006-07-09_final
2007-03-01 09:18:33	ga_ls7e_ard_3-0-0_091088_2007-02-28_final
2007-12-03 09:36:27	ga_ls7e_ard_3-0-0_094087_2007-12-03_final
2007-12-12 09:30:43	ga_ls7e_ard_3-0-0_093088_2007-12-12_final
2008-06-02 10:35:53	ga_ls7e_ard_3-0-0_104082_2008-06-02_final
2008-09-07 11:19:03	ga_ls7e_ard_3-0-0_111084_2008-09-07_final
2009-01-15 09:28:56	ga_ls7e_ard_3-0-0_093085_2009-01-14_final
2009-07-13 09:53:17	ga_ls7e_ard_3-0-0_098067_2009-07-13_final
2009-08-18 11:08:29	ga_ls7e_ard_3-0-0_110070_2009-08-18_final
2009-09-23 09:09:14	ga_ls7e_ard_3-0-0_090081_2009-09-22_final
2009-12-11 10:05:14	ga_ls7e_ard_3-0-0_099080_2009-12-11_final
2009-12-24 11:11:51	ga_ls7e_ard_3-0-0_110076_2009-12-24_final
2010-01-22 10:38:37	ga_ls7e_ard_3-0-0_105069_2010-01-22_final
2011-04-18 11:11:54	ga_ls7e_ard_3-0-0_110070_2011-04-18_final
2011-09-09 09:39:07	ga_ls7e_ard_3-0-0_094086_2011-09-09_final
2011-10-07 10:03:20	ga_ls7e_ard_3-0-0_098085_2011-10-07_final
2011-12-27 09:05:41	ga_ls7e_ard_3-0-0_089078_2011-12-26_final
2012-05-01 10:59:48	ga_ls7e_ard_3-0-0_107084_2012-05-01_final
2013-01-12 10:59:30	ga_ls7e_ard_3-0-0_107079_2013-01-12_final
2014-07-22 11:23:15	ga_ls7e_ard_3-0-0_111073_2014-07-22_final
2015-02-05 09:12:24	ga_ls7e_ard_3-0-0_089083_2015-02-04_final
2016-08-08 11:55:25	ga_ls7e_ard_3-0-0_115079_2016-08-08_final
2016-08-24 10:18:58	ga_ls7e_ard_3-1-0_099085_2016-08-24_final
2017-06-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-06-19_final
2017-11-24 10:06:41	ga_ls7e_ard_3-0-0_098070_2017-11-24_final
2018-07-04 10:21:02	ga_ls7e_ard_3-0-0_100083_2018-07-04_final
2018-08-18 11:24:36	ga_ls7e_ard_3-0-0_111074_2018-08-18_final
2019-03-04 10:43:07	ga_ls7e_ard_3-1-0_105076_2019-03-04_final
2019-07-10 10:38:29	ga_ls7e_ard_3-0-0_105076_2019-07-10_final
2021-10-11 08:52:44	ga_ls7e_ard_3-2-0_097069_2021-10-10_final
2022-02-02 08:34:16	ga_ls7e_ard_3-2-1_095081_2022-02-01_final
2022-02-07 08:47:55	ga_ls7e_ard_3-2-1_098070_2022-02-06_final
2022-02-08 09:30:40	ga_ls7e_ard_3-2-1_105069_2022-02-08_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