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

50 results

Time (local)	Label
1999-07-06 11:13:04	ga_ls7e_ard_3-0-0_110075_1999-07-06_final
1999-10-29 10:08:48	ga_ls7e_ard_3-0-0_099084_1999-10-29_final
1999-12-26 09:04:57	ga_ls7e_ard_3-0-0_089079_1999-12-25_final
2000-01-06 10:23:18	ga_ls7e_ard_3-0-0_102074_2000-01-06_final
2000-01-08 10:12:08	ga_ls7e_ard_3-0-0_100077_2000-01-08_final
2000-04-27 10:25:34	ga_ls7e_ard_3-0-0_102081_2000-04-27_final
2000-10-26 11:19:46	ga_ls7e_ard_3-0-0_112067_2000-10-26_final
2001-04-09 10:03:12	ga_ls7e_ard_3-0-0_099077_2001-04-09_final
2001-07-25 11:18:43	ga_ls7e_ard_3-0-0_112067_2001-07-25_final
2002-03-21 09:02:05	ga_ls7e_ard_3-0-0_089082_2002-03-20_final
2003-09-22 10:01:19	ga_ls7e_ard_3-0-0_099077_2003-09-22_final
2004-05-28 09:56:06	ga_ls7e_ard_3-0-0_098077_2004-05-28_final
2005-02-15 10:02:43	ga_ls7e_ard_3-0-0_099077_2005-02-15_final
2005-04-21 10:45:07	ga_ls7e_ard_3-1-0_106075_2005-04-21_final
2005-05-02 10:29:02	ga_ls7e_ard_3-0-0_103081_2005-05-02_final
2006-02-10 09:13:19	ga_ls7e_ard_3-0-0_091076_2006-02-09_final
2006-10-16 10:03:00	ga_ls7e_ard_3-0-0_099078_2006-10-16_final
2006-10-26 10:37:52	ga_ls7e_ard_3-0-0_105072_2006-10-26_final
2007-05-11 09:24:15	ga_ls7e_ard_3-0-0_092087_2007-05-10_final
2008-01-31 09:18:24	ga_ls7e_ard_3-0-0_091088_2008-01-30_final
2009-03-09 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-03-09_final
2009-04-15 10:00:16	ga_ls7e_ard_3-0-0_099069_2009-04-15_final
2009-10-01 09:59:51	ga_ls7e_ard_3-0-0_098084_2009-10-01_final
2009-12-16 10:22:40	ga_ls7e_ard_3-0-0_102077_2009-12-16_final
2010-01-13 09:13:22	ga_ls7e_ard_3-0-0_090088_2010-01-12_final
2010-02-03 09:32:12	ga_ls7e_ard_3-0-0_093088_2010-02-03_final
2011-03-19 09:25:49	ga_ls7e_ard_3-0-0_092083_2011-03-18_final
2011-03-29 09:58:08	ga_ls7e_ard_3-0-0_098071_2011-03-29_final
2011-08-23 10:32:50	ga_ls7e_ard_3-0-0_103081_2011-08-23_final
2012-12-19 10:06:03	ga_ls7e_ard_3-0-0_099069_2012-12-19_final
2013-02-24 10:40:58	ga_ls7e_ard_3-0-0_104079_2013-02-24_final
2013-09-22 10:28:58	ga_ls7e_ard_3-0-0_102081_2013-09-22_final
2014-11-16 10:05:59	ga_ls7e_ard_3-0-0_098079_2014-11-16_final
2014-11-18 11:27:42	ga_ls7e_ard_3-0-0_112067_2014-11-18_final
2014-12-29 09:42:55	ga_ls7e_ard_3-0-0_095067_2014-12-29_final
2015-01-20 09:10:16	ga_ls7e_ard_3-0-0_089078_2015-01-19_final
2015-02-09 10:21:47	ga_ls7e_ard_3-0-0_101071_2015-02-09_final
2015-04-13 11:21:54	ga_ls7e_ard_3-0-0_110081_2015-04-13_final
2015-10-26 09:17:53	ga_ls7e_ard_3-0-0_090077_2015-10-25_final
2016-03-14 11:20:24	ga_ls7e_ard_3-0-0_110070_2016-03-14_final
2017-09-19 10:21:52	ga_ls7e_ard_3-0-0_100077_2017-09-19_final
2017-11-16 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-11-16_final
2017-12-03 10:06:26	ga_ls7e_ard_3-0-0_097085_2017-12-03_final
2019-01-20 09:23:41	ga_ls7e_ard_3-0-0_092075_2019-01-19_final
2019-03-24 10:17:44	ga_ls7e_ard_3-1-0_101076_2019-03-24_final
2019-10-20 11:35:36	ga_ls7e_ard_3-1-0_115075_2019-10-20_final
2020-01-09 09:01:34	ga_ls7e_ard_3-1-0_090086_2020-01-08_final
2020-01-23 10:47:44	ga_ls7e_ard_3-1-0_108075_2020-01-23_final
2020-03-09 11:01:18	ga_ls7e_ard_3-1-0_110084_2020-03-09_final
2020-03-28 09:47:05	ga_ls7e_ard_3-1-0_099071_2020-03-28_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