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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

60 results

Time (local)	Label
1999-07-06 11:13:04	ga_ls7e_ard_3-0-0_110075_1999-07-06_final
2000-06-21 10:31:14	ga_ls7e_ard_3-0-0_103081_2000-06-21_final
2001-02-12 10:50:35	ga_ls7e_ard_3-0-0_107071_2001-02-12_final
2001-03-05 11:09:27	ga_ls7e_ard_3-1-0_110072_2001-03-05_final
2001-03-18 10:41:14	ga_ls7e_ard_3-0-0_105079_2001-03-18_final
2001-09-25 09:57:47	ga_ls7e_ard_3-0-0_098083_2001-09-25_final
2002-05-27 11:08:57	ga_ls7e_ard_3-0-0_110075_2002-05-27_final
2003-11-10 10:44:29	ga_ls7e_ard_3-0-0_106076_2003-11-10_final
2003-11-30 10:21:55	ga_ls7e_ard_3-0-0_102081_2003-11-30_final
2005-03-17 10:12:47	ga_ls7e_ard_3-0-0_101071_2005-03-17_final
2005-05-02 10:23:50	ga_ls7e_ard_3-0-0_103068_2005-05-02_final
2005-06-17 09:01:33	ga_ls7e_ard_3-0-0_089079_2005-06-16_final
2005-12-11 09:41:24	ga_ls7e_ard_3-0-0_096070_2005-12-11_final
2006-02-27 09:54:14	ga_ls7e_ard_3-0-0_098070_2006-02-27_final
2006-05-30 10:23:19	ga_ls7e_ard_3-0-0_102081_2006-05-30_final
2006-06-14 11:16:05	ga_ls7e_ard_3-0-0_111074_2006-06-14_final
2006-06-30 11:15:36	ga_ls7e_ard_3-0-0_111073_2006-06-30_final
2006-07-12 11:41:01	ga_ls7e_ard_3-0-0_115075_2006-07-12_final
2007-03-09 10:04:26	ga_ls7e_ard_3-0-0_099079_2007-03-09_final
2007-04-03 09:54:17	ga_ls7e_ard_3-0-0_098069_2007-04-03_final
2007-05-12 10:00:43	ga_ls7e_ard_3-0-0_099070_2007-05-12_final
2007-05-20 09:18:48	ga_ls7e_ard_3-0-0_091089_2007-05-19_final
2007-08-05 10:18:10	ga_ls7e_ard_3-0-0_102068_2007-08-05_final
2008-05-14 10:03:31	ga_ls7e_ard_3-0-0_099078_2008-05-14_final
2009-01-21 10:25:34	ga_ls7e_ard_3-0-0_103072_2009-01-21_final
2010-04-22 11:17:30	ga_ls7e_ard_3-0-0_111072_2010-04-22_final
2010-04-29 09:49:34	ga_ls7e_ard_3-0-0_096084_2010-04-29_final
2010-07-26 08:59:21	ga_ls7e_ard_3-0-0_088082_2010-07-25_final
2010-08-15 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-08-15_final
2010-08-21 11:09:21	ga_ls7e_ard_3-0-0_110067_2010-08-21_final
2010-10-01 09:30:38	ga_ls7e_ard_3-0-0_093083_2010-10-01_final
2010-10-12 10:45:56	ga_ls7e_ard_3-0-0_106070_2010-10-12_final
2011-02-20 09:40:16	ga_ls7e_ard_3-1-0_095073_2011-02-20_final
2011-03-10 11:07:41	ga_ls7e_ard_3-0-0_109075_2011-03-10_final
2011-07-12 09:55:05	ga_ls7e_ard_3-0-0_097079_2011-07-12_final
2011-12-16 09:28:04	ga_ls7e_ard_3-0-0_092088_2011-12-15_final
2012-04-30 10:13:43	ga_ls7e_ard_3-0-0_100077_2012-04-30_final
2012-09-04 11:09:28	ga_ls7e_ard_3-0-0_109075_2012-09-04_final
2014-03-16 09:41:17	ga_ls7e_ard_3-0-0_095067_2014-03-16_final
2014-05-08 10:00:59	ga_ls7e_ard_3-0-0_098069_2014-05-08_final
2014-06-15 09:31:15	ga_ls7e_ard_3-0-0_092087_2014-06-15_final
2014-10-31 10:02:18	ga_ls7e_ard_3-0-0_098070_2014-10-31_final
2014-11-24 10:51:53	ga_ls7e_ard_3-0-0_106070_2014-11-24_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-08-06 10:12:56	ga_ls7e_ard_3-0-0_099077_2015-08-06_final
2016-08-16 11:07:34	ga_ls7e_ard_3-0-0_107083_2016-08-16_final
2017-02-23 10:21:20	ga_ls7e_ard_3-0-0_100077_2017-02-23_final
2017-03-28 11:03:36	ga_ls7e_ard_3-0-0_107074_2017-03-28_final
2017-07-09 09:36:07	ga_ls7e_ard_3-0-0_092086_2017-07-09_final
2019-04-28 09:08:54	ga_ls7e_ard_3-0-0_090077_2019-04-27_final
2019-04-29 11:33:24	ga_ls7e_ard_3-0-0_113083_2019-04-29_final
2019-12-25 09:45:13	ga_ls7e_ard_3-1-0_097085_2019-12-25_final
2020-08-20 08:49:55	ga_ls7e_ard_3-1-0_090089_2020-08-19_final
2020-09-08 10:52:28	ga_ls7e_ard_3-1-0_111074_2020-09-08_final
2020-11-04 10:46:33	ga_ls7e_ard_3-1-0_110084_2020-11-04_final
2021-04-05 09:44:37	ga_ls7e_ard_3-2-0_102081_2021-04-05_final
2021-04-21 09:38:05	ga_ls7e_ard_3-2-0_102068_2021-04-21_final
2021-07-05 09:16:52	ga_ls7e_ard_3-2-0_099077_2021-07-04_final
2021-07-15 09:54:42	ga_ls7e_ard_3-2-0_105081_2021-07-15_final
2021-12-18 10:06:29	ga_ls7e_ard_3-2-1_109084_2021-12-18_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