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

52 results

Time (local)	Label
2001-05-20 11:35:17	ga_ls7e_ard_3-0-0_114076_2001-05-20_final
2001-07-14 10:00:05	ga_ls7e_ard_3-0-0_099071_2001-07-14_final
2002-01-30 10:48:32	ga_ls7e_ard_3-0-0_107070_2002-01-30_final
2002-08-18 09:59:41	ga_ls7e_ard_3-0-0_099073_2002-08-18_final
2002-08-26 10:48:35	ga_ls7e_ard_3-0-0_107072_2002-08-26_final
2002-11-20 10:15:58	ga_ls7e_ard_3-0-0_101083_2002-11-20_final
2003-01-06 09:30:32	ga_ls7e_ard_3-0-0_094077_2003-01-06_final
2003-09-01 11:20:36	ga_ls7e_ard_3-0-0_112074_2003-09-01_final
2003-12-06 09:41:17	ga_ls7e_ard_3-0-0_096072_2003-12-06_final
2004-01-28 10:00:11	ga_ls7e_ard_3-0-0_099072_2004-01-28_final
2004-12-23 09:01:24	ga_ls7e_ard_3-0-0_089079_2004-12-22_final
2005-03-04 10:44:04	ga_ls7e_ard_3-0-0_106072_2005-03-04_final
2005-05-16 10:41:49	ga_ls7e_ard_3-0-0_105082_2005-05-16_final
2005-10-03 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-10-02_final
2006-02-21 10:32:30	ga_ls7e_ard_3-0-0_104073_2006-02-21_final
2006-11-21 11:15:17	ga_ls7e_ard_3-0-0_111072_2006-11-21_final
2006-12-13 10:42:21	ga_ls7e_ard_3-0-0_105082_2006-12-13_final
2007-12-06 10:00:11	ga_ls7e_ard_3-0-0_099069_2007-12-06_final
2008-09-16 11:10:00	ga_ls7e_ard_3-0-0_110077_2008-09-16_final
2008-10-25 11:12:32	ga_ls7e_ard_3-0-0_111068_2008-10-25_final
2009-03-29 10:58:59	ga_ls7e_ard_3-0-0_108077_2009-03-29_final
2009-07-14 09:04:26	ga_ls7e_ard_3-0-0_089084_2009-07-13_final
2010-03-15 10:17:37	ga_ls7e_ard_3-0-0_101077_2010-03-15_final
2010-05-11 10:10:39	ga_ls7e_ard_3-0-0_100075_2010-05-11_final
2010-09-04 11:24:33	ga_ls7e_ard_3-0-0_112074_2010-09-04_final
2010-11-08 10:26:52	ga_ls7e_ard_3-0-0_103068_2010-11-08_final
2011-09-18 09:32:54	ga_ls7e_ard_3-0-0_093086_2011-09-18_final
2012-01-11 10:03:22	ga_ls7e_ard_3-0-0_098083_2012-01-11_final
2012-03-26 11:19:49	ga_ls7e_ard_3-0-0_111073_2012-03-26_final
2012-07-30 09:54:29	ga_ls7e_ard_3-0-0_097074_2012-07-30_final
2013-05-22 10:42:27	ga_ls7e_ard_3-0-0_105068_2013-05-22_final
2013-11-26 11:10:23	ga_ls7e_ard_3-0-0_109075_2013-11-26_final
2014-12-14 10:26:56	ga_ls7e_ard_3-0-0_102069_2014-12-14_final
2014-12-30 10:28:10	ga_ls7e_ard_3-0-0_102072_2014-12-30_final
2015-01-20 10:45:09	ga_ls7e_ard_3-0-0_105068_2015-01-20_final
2015-07-05 10:14:48	ga_ls7e_ard_3-0-0_099082_2015-07-05_final
2015-07-10 10:32:58	ga_ls7e_ard_3-0-0_102081_2015-07-10_final
2015-08-10 11:25:31	ga_ls7e_ard_3-0-0_111073_2015-08-10_final
2016-02-07 10:11:59	ga_ls7e_ard_3-0-0_098085_2016-02-07_final
2016-10-21 09:15:38	ga_ls7e_ard_3-1-0_089081_2016-10-20_final
2017-02-06 11:15:42	ga_ls7e_ard_3-0-0_109074_2017-02-06_final
2017-11-06 10:19:56	ga_ls7e_ard_3-0-0_100072_2017-11-06_final
2018-09-29 10:22:17	ga_ls7e_ard_3-1-0_101075_2018-09-29_final
2019-08-01 09:58:31	ga_ls7e_ard_3-0-0_099071_2019-08-01_final
2019-12-11 11:08:04	ga_ls7e_ard_3-1-0_111074_2019-12-11_final
2020-01-14 09:15:29	ga_ls7e_ard_3-1-0_093075_2020-01-13_final
2020-02-08 10:46:56	ga_ls7e_ard_3-1-0_108075_2020-02-08_final
2020-03-20 10:41:45	ga_ls7e_ard_3-1-0_107083_2020-03-20_final
2020-06-02 11:14:52	ga_ls7e_ard_3-1-0_113084_2020-06-02_final
2020-10-03 10:45:03	ga_ls7e_ard_3-1-0_110075_2020-10-03_final
2021-07-06 09:59:15	ga_ls7e_ard_3-2-0_106075_2021-07-06_final
2021-11-01 09:12:33	ga_ls7e_ard_3-2-0_100077_2021-10-31_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