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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

63 results

Time (local)	Label
2000-04-22 10:02:14	ga_ls7e_ard_3-0-0_099069_2000-04-22_final
2001-11-19 10:02:02	ga_ls7e_ard_3-0-0_099078_2001-11-19_final
2002-01-06 10:01:49	ga_ls7e_ard_3-0-0_099077_2002-01-06_final
2002-07-27 10:37:15	ga_ls7e_ard_3-0-0_105074_2002-07-27_final
2002-09-19 09:58:06	ga_ls7e_ard_3-0-0_099070_2002-09-19_final
2003-02-22 10:24:31	ga_ls7e_ard_3-0-0_103072_2003-02-22_final
2003-10-26 09:45:56	ga_ls7e_ard_3-0-0_097069_2003-10-26_final
2004-01-02 09:20:58	ga_ls7e_ard_3-0-0_093067_2004-01-01_final
2004-01-28 09:59:47	ga_ls7e_ard_3-0-0_099071_2004-01-28_final
2004-02-13 11:41:07	ga_ls7e_ard_3-1-0_115077_2004-02-13_final
2004-04-04 10:29:41	ga_ls7e_ard_3-0-0_104068_2004-04-04_final
2004-06-23 08:56:09	ga_ls7e_ard_3-0-0_088082_2004-06-22_final
2004-09-21 11:06:56	ga_ls7e_ard_3-0-0_110070_2004-09-21_final
2005-03-03 11:40:53	ga_ls7e_ard_3-0-0_115075_2005-03-03_final
2005-03-11 09:18:34	ga_ls7e_ard_3-0-0_091090_2005-03-10_final
2005-05-03 11:12:41	ga_ls7e_ard_3-0-0_110082_2005-05-03_final
2005-08-20 10:35:54	ga_ls7e_ard_3-0-0_105068_2005-08-20_final
2005-11-14 10:04:35	ga_ls7e_ard_3-0-0_099082_2005-11-14_final
2006-01-03 09:47:44	ga_ls7e_ard_3-0-0_097070_2006-01-03_final
2006-04-02 11:22:20	ga_ls7e_ard_3-0-0_112074_2006-04-02_final
2006-04-15 09:17:17	ga_ls7e_ard_3-1-0_091086_2006-04-14_final
2006-05-16 10:06:58	ga_ls7e_ard_3-0-0_100071_2006-05-16_final
2006-09-13 09:23:48	ga_ls7e_ard_3-0-0_092088_2006-09-12_final
2006-09-27 11:10:09	ga_ls7e_ard_3-0-0_110076_2006-09-27_final
2007-05-15 08:57:06	ga_ls7e_ard_3-0-0_088081_2007-05-14_final
2007-11-29 09:57:33	ga_ls7e_ard_3-0-0_098078_2007-11-29_final
2008-03-29 11:25:48	ga_ls7e_ard_3-0-0_113067_2008-03-29_final
2008-05-07 09:54:35	ga_ls7e_ard_3-0-0_098071_2008-05-07_final
2009-05-25 09:16:31	ga_ls7e_ard_3-0-0_091083_2009-05-24_final
2009-05-29 10:25:29	ga_ls7e_ard_3-0-0_103070_2009-05-29_final
2009-07-25 10:23:32	ga_ls7e_ard_3-0-0_102081_2009-07-25_final
2010-02-13 10:01:01	ga_ls7e_ard_3-0-0_099067_2010-02-13_final
2010-09-03 10:38:53	ga_ls7e_ard_3-0-0_105068_2010-09-03_final
2010-10-14 10:37:35	ga_ls7e_ard_3-0-0_104080_2010-10-14_final
2010-11-01 10:21:00	ga_ls7e_ard_3-0-0_102069_2010-11-01_final
2012-01-09 10:13:44	ga_ls7e_ard_3-0-0_100078_2012-01-09_final
2012-02-09 09:26:09	ga_ls7e_ard_3-0-0_093067_2012-02-08_final
2012-03-05 11:01:39	ga_ls7e_ard_3-0-0_108074_2012-03-05_final
2012-03-29 10:13:25	ga_ls7e_ard_3-0-0_100077_2012-03-29_final
2012-04-27 11:17:38	ga_ls7e_ard_3-0-0_111067_2012-04-27_final
2012-08-22 11:41:49	ga_ls7e_ard_3-0-0_114079_2012-08-22_final
2013-07-06 10:15:10	ga_ls7e_ard_3-0-0_100078_2013-07-06_final
2013-11-20 10:06:06	ga_ls7e_ard_3-0-0_099069_2013-11-20_final
2014-09-09 10:26:55	ga_ls7e_ard_3-0-0_102071_2014-09-09_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2014-12-14 10:31:43	ga_ls7e_ard_3-0-0_102081_2014-12-14_final
2015-03-19 11:28:17	ga_ls7e_ard_3-1-0_111082_2015-03-19_final
2015-05-21 10:45:28	ga_ls7e_ard_3-0-0_104082_2015-05-21_final
2015-07-10 10:28:11	ga_ls7e_ard_3-0-0_102069_2015-07-10_final
2015-09-07 10:09:48	ga_ls7e_ard_3-0-0_099069_2015-09-07_final
2017-04-30 10:11:46	ga_ls7e_ard_3-0-0_098083_2017-04-30_final
2017-07-09 09:36:31	ga_ls7e_ard_3-0-0_092087_2017-07-09_final
2018-03-14 10:20:55	ga_ls7e_ard_3-0-0_100078_2018-03-14_final
2018-04-08 10:13:35	ga_ls7e_ard_3-0-0_099076_2018-04-08_final
2019-03-26 10:02:07	ga_ls7e_ard_3-1-0_099068_2019-03-26_final
2019-06-14 09:59:11	ga_ls7e_ard_3-0-0_099068_2019-06-14_final
2019-06-14 10:05:10	ga_ls7e_ard_3-0-0_099083_2019-06-14_final
2019-12-13 09:19:07	ga_ls7e_ard_3-1-0_093080_2019-12-12_final
2020-04-18 10:08:24	ga_ls7e_ard_3-1-0_102081_2020-04-18_final
2020-06-01 08:53:11	ga_ls7e_ard_3-1-0_090085_2020-05-31_final
2021-06-18 10:16:42	ga_ls7e_ard_3-2-0_108084_2021-06-18_final
2021-08-31 09:06:08	ga_ls7e_ard_3-2-0_098078_2021-08-30_final
2022-01-29 08:54:12	ga_ls7e_ard_3-2-1_099068_2022-01-28_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