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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

53 results

Time (local)	Label
1999-12-07 10:11:47	ga_ls7e_ard_3-0-0_100076_1999-12-07_final
2001-05-27 10:00:08	ga_ls7e_ard_3-0-0_099070_2001-05-27_final
2001-09-19 08:55:34	ga_ls7e_ard_3-0-0_088082_2001-09-18_final
2003-01-10 10:41:32	ga_ls7e_ard_3-0-0_106069_2003-01-10_final
2003-08-05 11:40:47	ga_ls7e_ard_3-0-0_115078_2003-08-05_final
2003-12-06 09:40:53	ga_ls7e_ard_3-0-0_096071_2003-12-06_final
2004-01-04 10:52:40	ga_ls7e_ard_3-0-0_107080_2004-01-04_final
2004-07-15 09:59:06	ga_ls7e_ard_3-0-0_098085_2004-07-15_final
2004-08-06 09:23:27	ga_ls7e_ard_3-0-0_092089_2004-08-05_final
2004-12-20 10:06:09	ga_ls7e_ard_3-0-0_100071_2004-12-20_final
2005-01-18 11:19:29	ga_ls7e_ard_3-0-0_111084_2005-01-18_final
2005-12-16 10:03:32	ga_ls7e_ard_3-0-0_099079_2005-12-16_final
2006-08-26 11:12:20	ga_ls7e_ard_3-0-0_110081_2006-08-26_final
2007-05-25 09:36:30	ga_ls7e_ard_3-0-0_094087_2007-05-25_final
2007-06-02 10:20:19	ga_ls7e_ard_3-0-0_102073_2007-06-02_final
2008-02-02 09:04:26	ga_ls7e_ard_3-0-0_089084_2008-02-01_final
2008-12-27 10:35:36	ga_ls7e_ard_3-0-0_104082_2008-12-27_final
2009-02-16 11:02:27	ga_ls7e_ard_3-0-0_109071_2009-02-16_final
2009-09-11 10:18:38	ga_ls7e_ard_3-0-0_102069_2009-09-11_final
2009-11-18 11:37:40	ga_ls7e_ard_3-0-0_114080_2009-11-18_final
2010-05-14 09:05:02	ga_ls7e_ard_3-1-0_089081_2010-05-13_final
2010-05-29 10:02:15	ga_ls7e_ard_3-0-0_098085_2010-05-29_final
2010-09-18 09:56:26	ga_ls7e_ard_3-0-0_098070_2010-09-18_final
2010-12-12 10:16:05	ga_ls7e_ard_3-0-0_101071_2010-12-12_final
2011-06-30 09:33:57	ga_ls7e_ard_3-0-0_093088_2011-06-30_final
2011-07-18 10:56:52	ga_ls7e_ard_3-0-0_107079_2011-07-18_final
2011-07-20 10:45:42	ga_ls7e_ard_3-0-0_105082_2011-07-20_final
2012-02-02 11:00:01	ga_ls7e_ard_3-0-0_108070_2012-02-02_final
2012-09-21 10:15:11	ga_ls7e_ard_3-0-0_100078_2012-09-21_final
2013-09-02 10:50:17	ga_ls7e_ard_3-0-0_106073_2013-09-02_final
2013-12-23 10:49:58	ga_ls7e_ard_3-0-0_106070_2013-12-23_final
2014-02-24 10:06:38	ga_ls7e_ard_3-0-0_099069_2014-02-24_final
2014-07-06 09:49:07	ga_ls7e_ard_3-0-0_095085_2014-07-06_final
2016-04-08 09:42:37	ga_ls7e_ard_3-0-0_093088_2016-04-08_final
2016-12-30 10:13:27	ga_ls7e_ard_3-0-0_099072_2016-12-30_final
2017-02-04 09:48:47	ga_ls7e_ard_3-1-0_095073_2017-02-04_final
2017-12-02 09:19:59	ga_ls7e_ard_3-0-0_090077_2017-12-01_final
2018-01-16 10:29:26	ga_ls7e_ard_3-0-0_101082_2018-01-16_final
2018-02-12 10:05:41	ga_ls7e_ard_3-0-0_098070_2018-02-12_final
2018-04-17 10:04:28	ga_ls7e_ard_3-0-0_098069_2018-04-17_final
2018-05-08 10:23:25	ga_ls7e_ard_3-0-0_101071_2018-05-08_final
2018-11-24 09:31:32	ga_ls7e_ard_3-0-0_093075_2018-11-24_final
2019-02-03 11:11:18	ga_ls7e_ard_3-0-0_110067_2019-02-03_final
2019-08-09 09:15:32	ga_ls7e_ard_3-0-0_091088_2019-08-08_final
2020-09-04 09:42:34	ga_ls7e_ard_3-1-0_099084_2020-09-04_final
2020-09-15 11:02:10	ga_ls7e_ard_3-1-0_112084_2020-09-15_final
2020-10-21 10:31:32	ga_ls7e_ard_3-1-0_108075_2020-10-21_final
2021-02-05 08:27:42	ga_ls7e_ard_3-2-0_089078_2021-02-04_final
2021-03-19 09:03:09	ga_ls7e_ard_3-2-0_095082_2021-03-18_final
2021-08-30 08:25:21	ga_ls7e_ard_3-2-0_091084_2021-08-29_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_final
2022-01-26 10:04:04	ga_ls7e_ard_3-2-1_110072_2022-01-26_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