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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
2000-03-05 10:03:44	ga_ls7e_ard_3-0-0_099072_2000-03-05_final
2000-09-04 10:08:07	ga_ls7e_ard_3-0-0_100072_2000-09-04_final
2002-06-15 10:02:02	ga_ls7e_ard_3-0-0_099078_2002-06-15_final
2002-06-22 10:07:46	ga_ls7e_ard_3-0-0_100077_2002-06-22_final
2002-11-01 11:20:05	ga_ls7e_ard_3-0-0_112074_2002-11-01_final
2002-12-25 10:43:55	ga_ls7e_ard_3-1-0_106075_2002-12-25_final
2003-03-02 11:17:11	ga_ls7e_ard_3-0-0_111080_2003-03-02_final
2003-05-05 09:33:10	ga_ls7e_ard_3-0-0_095067_2003-05-05_final
2004-01-29 10:43:27	ga_ls7e_ard_3-0-0_106072_2004-01-29_final
2004-06-04 10:02:14	ga_ls7e_ard_3-0-0_099077_2004-06-04_final
2005-03-22 10:35:43	ga_ls7e_ard_3-0-0_104082_2005-03-22_final
2005-04-11 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-04-11_final
2005-08-22 10:23:32	ga_ls7e_ard_3-0-0_103068_2005-08-22_final
2006-03-19 09:33:07	ga_ls7e_ard_3-0-0_094079_2006-03-19_final
2007-02-14 09:55:22	ga_ls7e_ard_3-0-0_098072_2007-02-14_final
2007-12-06 10:00:59	ga_ls7e_ard_3-0-0_099071_2007-12-06_final
2008-06-14 09:24:00	ga_ls7e_ard_3-0-0_092088_2008-06-13_final
2008-06-30 09:22:14	ga_ls7e_ard_3-0-0_092084_2008-06-29_final
2008-11-18 10:25:02	ga_ls7e_ard_3-0-0_103072_2008-11-18_final
2009-02-15 10:23:10	ga_ls7e_ard_3-0-0_102081_2009-02-15_final
2009-03-31 09:10:57	ga_ls7e_ard_3-1-0_090085_2009-03-30_final
2010-02-22 09:56:31	ga_ls7e_ard_3-0-0_098071_2010-02-22_final
2010-04-15 11:11:19	ga_ls7e_ard_3-1-0_110072_2010-04-15_final
2010-06-11 09:32:10	ga_ls7e_ard_3-1-0_093087_2010-06-11_final
2010-09-09 10:06:36	ga_ls7e_ard_3-0-0_099080_2010-09-09_final
2010-11-28 10:08:23	ga_ls7e_ard_3-0-0_099083_2010-11-28_final
2011-06-23 09:26:36	ga_ls7e_ard_3-0-0_092085_2011-06-22_final
2011-07-18 09:21:11	ga_ls7e_ard_3-0-0_091087_2011-07-17_final
2011-10-02 11:18:57	ga_ls7e_ard_3-0-0_111073_2011-10-02_final
2012-06-10 11:47:10	ga_ls7e_ard_3-0-0_115079_2012-06-10_final
2012-07-27 09:24:21	ga_ls7e_ard_3-0-0_092076_2012-07-26_final
2012-12-07 09:42:24	ga_ls7e_ard_3-0-0_095072_2012-12-07_final
2014-05-01 10:01:10	ga_ls7e_ard_3-0-0_097085_2014-05-01_final
2014-06-07 10:14:43	ga_ls7e_ard_3-0-0_100072_2014-06-07_final
2015-01-26 10:08:32	ga_ls7e_ard_3-0-0_099069_2015-01-26_final
2015-03-21 11:13:33	ga_ls7e_ard_3-0-0_109076_2015-03-21_final
2016-03-27 09:18:15	ga_ls7e_ard_3-1-0_089089_2016-03-26_final
2016-05-11 10:22:06	ga_ls7e_ard_3-0-0_100078_2016-05-11_final
2016-08-07 09:35:16	ga_ls7e_ard_3-0-0_092084_2016-08-07_final
2018-05-01 10:20:09	ga_ls7e_ard_3-0-0_100078_2018-05-01_final
2018-11-08 11:10:48	ga_ls7e_ard_3-0-0_109075_2018-11-08_final
2018-11-19 10:54:47	ga_ls7e_ard_3-0-0_106082_2018-11-19_final
2019-05-01 09:38:06	ga_ls7e_ard_3-1-0_095073_2019-05-01_final
2019-06-02 09:36:53	ga_ls7e_ard_3-1-0_095073_2019-06-02_final
2019-07-15 09:20:44	ga_ls7e_ard_3-0-0_092083_2019-07-14_final
2019-07-26 10:37:03	ga_ls7e_ard_3-0-0_105074_2019-07-26_final
2019-09-07 10:19:30	ga_ls7e_ard_3-1-0_102081_2019-09-07_final
2020-03-02 10:50:18	ga_ls7e_ard_3-1-0_109071_2020-03-02_final
2021-04-19 09:56:12	ga_ls7e_ard_3-2-0_104082_2021-04-19_final
2021-06-08 09:39:14	ga_ls7e_ard_3-2-0_102081_2021-06-08_final
2021-06-13 08:20:29	ga_ls7e_ard_3-2-0_089086_2021-06-12_final
2021-11-13 09:32:32	ga_ls7e_ard_3-2-1_104068_2021-11-13_final
2021-12-16 10:14:39	ga_ls7e_ard_3-2-1_111073_2021-12-16_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