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
1999-10-12 11:00:10	ga_ls7e_ard_3-0-0_108073_1999-10-12_final
1999-11-21 10:11:44	ga_ls7e_ard_3-0-0_100076_1999-11-21_final
2000-04-10 09:39:10	ga_ls7e_ard_3-1-0_095073_2000-04-10_final
2001-06-14 09:47:09	ga_ls7e_ard_3-0-0_097069_2001-06-14_final
2002-02-11 11:14:12	ga_ls7e_ard_3-0-0_111072_2002-02-11_final
2002-09-15 10:27:16	ga_ls7e_ard_3-0-0_103081_2002-09-15_final
2003-02-05 09:45:59	ga_ls7e_ard_3-0-0_096084_2003-02-05_final
2003-09-19 09:33:38	ga_ls7e_ard_3-0-0_094085_2003-09-19_final
2003-10-19 11:17:43	ga_ls7e_ard_3-0-0_112067_2003-10-19_final
2003-11-04 11:22:39	ga_ls7e_ard_3-0-0_112079_2003-11-04_final
2004-01-10 10:12:48	ga_ls7e_ard_3-0-0_101073_2004-01-10_final
2004-02-13 11:41:07	ga_ls7e_ard_3-1-0_115077_2004-02-13_final
2004-07-31 09:56:35	ga_ls7e_ard_3-0-0_098079_2004-07-31_final
2004-12-22 09:57:24	ga_ls7e_ard_3-1-0_098080_2004-12-22_final
2005-02-27 10:29:06	ga_ls7e_ard_3-0-0_103081_2005-02-27_final
2005-05-26 09:41:10	ga_ls7e_ard_3-0-0_095085_2005-05-26_final
2005-09-13 09:46:38	ga_ls7e_ard_3-0-0_097069_2005-09-13_final
2006-06-20 10:39:46	ga_ls7e_ard_3-0-0_105076_2006-06-20_final
2006-08-13 10:00:24	ga_ls7e_ard_3-0-0_099071_2006-08-13_final
2006-11-19 11:28:25	ga_ls7e_ard_3-0-0_113074_2006-11-19_final
2007-06-08 11:19:44	ga_ls7e_ard_3-0-0_112067_2007-06-08_final
2008-01-20 09:34:34	ga_ls7e_ard_3-0-0_094082_2008-01-20_final
2008-02-07 09:22:10	ga_ls7e_ard_3-0-0_092082_2008-02-06_final
2008-12-24 10:05:05	ga_ls7e_ard_3-0-0_099083_2008-12-24_final
2008-12-27 10:35:36	ga_ls7e_ard_3-0-0_104082_2008-12-27_final
2009-07-01 09:36:35	ga_ls7e_ard_3-0-0_094087_2009-07-01_final
2009-07-05 09:13:03	ga_ls7e_ard_3-0-0_090090_2009-07-04_final
2009-12-03 10:52:35	ga_ls7e_ard_3-0-0_107075_2009-12-03_final
2010-05-29 10:02:15	ga_ls7e_ard_3-0-0_098085_2010-05-29_final
2010-07-03 10:28:26	ga_ls7e_ard_3-0-0_103073_2010-07-03_final
2010-08-13 10:25:28	ga_ls7e_ard_3-0-0_102081_2010-08-13_final
2011-01-05 09:33:14	ga_ls7e_ard_3-0-0_093087_2011-01-05_final
2011-02-22 11:06:01	ga_ls7e_ard_3-0-0_109071_2011-02-22_final
2011-12-17 10:03:21	ga_ls7e_ard_3-0-0_099068_2011-12-17_final
2012-02-22 10:34:34	ga_ls7e_ard_3-0-0_104068_2012-02-22_final
2012-06-05 11:30:35	ga_ls7e_ard_3-0-0_112084_2012-06-05_final
2013-05-12 10:05:24	ga_ls7e_ard_3-0-0_099068_2013-05-12_final
2014-03-18 09:28:56	ga_ls7e_ard_3-0-0_093067_2014-03-17_final
2015-04-28 10:39:07	ga_ls7e_ard_3-0-0_103082_2015-04-28_final
2016-01-20 10:21:23	ga_ls7e_ard_3-0-0_100078_2016-01-20_final
2016-05-05 09:24:40	ga_ls7e_ard_3-0-0_090089_2016-05-04_final
2017-04-15 09:13:40	ga_ls7e_ard_3-0-0_089077_2017-04-14_final
2017-07-05 11:32:08	ga_ls7e_ard_3-0-0_112067_2017-07-05_final
2017-07-23 11:22:34	ga_ls7e_ard_3-0-0_110074_2017-07-23_final
2017-08-06 11:32:06	ga_ls7e_ard_3-0-0_112067_2017-08-06_final
2017-10-18 11:25:56	ga_ls7e_ard_3-0-0_111067_2017-10-18_final
2018-03-11 11:26:33	ga_ls7e_ard_3-0-0_111072_2018-03-11_final
2018-06-28 09:17:45	ga_ls7e_ard_3-0-0_090079_2018-06-27_final
2018-10-12 11:26:45	ga_ls7e_ard_3-0-0_112067_2018-10-12_final
2019-05-26 11:10:14	ga_ls7e_ard_3-0-0_110074_2019-05-26_final
2019-06-14 10:03:10	ga_ls7e_ard_3-0-0_099078_2019-06-14_final
2019-10-31 11:13:24	ga_ls7e_ard_3-1-0_112067_2019-10-31_final
2020-12-03 08:33:56	ga_ls7e_ard_3-1-0_089082_2020-12-02_final
2021-06-18 10:16:42	ga_ls7e_ard_3-2-0_108084_2021-06-18_final
2021-12-28 09:00:54	ga_ls7e_ard_3-2-1_099077_2021-12-27_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