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

55 results

Time (local)	Label
1999-10-14 10:46:35	ga_ls7e_ard_3-0-0_106070_1999-10-14_final
2001-03-09 09:12:37	ga_ls7e_ard_3-0-0_090089_2001-03-08_final
2001-09-17 09:09:34	ga_ls7e_ard_3-0-0_090086_2001-09-16_final
2001-09-20 11:14:32	ga_ls7e_ard_3-0-0_111074_2001-09-20_final
2001-12-15 10:38:04	ga_ls7e_ard_3-0-0_105075_2001-12-15_final
2002-01-11 10:22:02	ga_ls7e_ard_3-0-0_102081_2002-01-11_final
2002-04-27 10:56:21	ga_ls7e_ard_3-0-0_108074_2002-04-27_final
2002-09-05 11:30:01	ga_ls7e_ard_3-0-0_113083_2002-09-05_final
2003-09-26 09:32:36	ga_ls7e_ard_3-0-0_095067_2003-09-26_final
2003-11-01 10:50:11	ga_ls7e_ard_3-0-0_107075_2003-11-01_final
2004-07-21 09:22:23	ga_ls7e_ard_3-0-0_092086_2004-07-20_final
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2004-09-23 10:56:09	ga_ls7e_ard_3-0-0_108074_2004-09-23_final
2004-11-05 09:03:24	ga_ls7e_ard_3-0-0_089085_2004-11-04_final
2004-11-13 09:52:29	ga_ls7e_ard_3-0-0_097084_2004-11-13_final
2005-01-30 10:02:33	ga_ls7e_ard_3-0-0_099077_2005-01-30_final
2005-05-19 11:12:42	ga_ls7e_ard_3-0-0_110082_2005-05-19_final
2005-05-20 10:17:29	ga_ls7e_ard_3-0-0_101083_2005-05-20_final
2006-03-12 09:25:20	ga_ls7e_ard_3-0-0_093075_2006-03-11_final
2006-05-30 10:23:19	ga_ls7e_ard_3-0-0_102081_2006-05-30_final
2006-09-20 09:24:21	ga_ls7e_ard_3-0-0_093074_2006-09-19_final
2007-06-29 10:05:45	ga_ls7e_ard_3-0-0_099083_2007-06-29_final
2008-03-01 11:03:55	ga_ls7e_ard_3-0-0_109074_2008-03-01_final
2009-03-22 09:18:40	ga_ls7e_ard_3-0-0_091089_2009-03-21_final
2009-04-02 10:36:17	ga_ls7e_ard_3-0-0_104082_2009-04-02_final
2009-10-28 09:39:57	ga_ls7e_ard_3-0-0_095080_2009-10-28_final
2009-11-10 10:46:31	ga_ls7e_ard_3-0-0_106076_2009-11-10_final
2010-02-15 09:51:04	ga_ls7e_ard_3-0-0_097073_2010-02-15_final
2010-07-20 09:38:26	ga_ls7e_ard_3-0-0_094087_2010-07-20_final
2010-08-19 11:21:43	ga_ls7e_ard_3-0-0_112067_2010-08-19_final
2010-10-18 10:11:42	ga_ls7e_ard_3-0-0_100077_2010-10-18_final
2010-11-11 09:25:43	ga_ls7e_ard_3-0-0_092085_2010-11-10_final
2011-01-06 10:10:08	ga_ls7e_ard_3-0-0_100071_2011-01-06_final
2011-10-24 10:40:22	ga_ls7e_ard_3-0-0_105069_2011-10-24_final
2011-11-04 10:26:40	ga_ls7e_ard_3-0-0_102081_2011-11-04_final
2012-06-20 10:44:15	ga_ls7e_ard_3-0-0_105076_2012-06-20_final
2014-12-09 10:08:43	ga_ls7e_ard_3-0-0_099070_2014-12-09_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-05-19 10:52:15	ga_ls7e_ard_3-0-0_106068_2015-05-19_final
2015-09-20 11:19:51	ga_ls7e_ard_3-0-0_110074_2015-09-20_final
2016-03-14 11:20:24	ga_ls7e_ard_3-0-0_110070_2016-03-14_final
2016-05-18 10:29:53	ga_ls7e_ard_3-0-0_101082_2016-05-18_final
2016-08-04 10:42:03	ga_ls7e_ard_3-0-0_103081_2016-08-04_final
2017-01-02 10:44:18	ga_ls7e_ard_3-0-0_104072_2017-01-02_final
2017-10-16 10:00:36	ga_ls7e_ard_3-0-0_097070_2017-10-16_final
2018-07-30 10:54:27	ga_ls7e_ard_3-1-0_106075_2018-07-30_final
2018-08-26 10:37:47	ga_ls7e_ard_3-0-0_103081_2018-08-26_final
2019-02-20 10:21:09	ga_ls7e_ard_3-1-0_101082_2019-02-20_final
2019-08-27 08:58:26	ga_ls7e_ard_3-1-0_089078_2019-08-26_final
2019-12-25 09:45:13	ga_ls7e_ard_3-1-0_097085_2019-12-25_final
2019-12-29 10:54:47	ga_ls7e_ard_3-1-0_109074_2019-12-29_final
2021-03-08 09:22:57	ga_ls7e_ard_3-2-0_098083_2021-03-07_final
2021-05-07 09:41:56	ga_ls7e_ard_3-2-0_102081_2021-05-07_final
2021-11-13 09:32:32	ga_ls7e_ard_3-2-1_104068_2021-11-13_final
2022-02-03 09:14:38	ga_ls7e_ard_3-2-1_102074_2022-02-02_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