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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
1999-09-02 10:11:51	ga_ls7e_ard_3-0-0_100076_1999-09-02_final
1999-09-06 09:50:18	ga_ls7e_ard_3-0-0_096084_1999-09-06_final
1999-11-02 09:37:17	ga_ls7e_ard_3-0-0_095067_1999-11-02_final
1999-12-29 11:15:28	ga_ls7e_ard_3-0-0_110081_1999-12-29_final
2000-03-06 09:11:41	ga_ls7e_ard_3-0-0_090081_2000-03-05_final
2000-05-25 10:49:56	ga_ls7e_ard_3-0-0_106081_2000-05-25_final
2000-08-15 10:36:42	ga_ls7e_ard_3-0-0_104081_2000-08-15_final
2001-04-10 10:46:04	ga_ls7e_ard_3-0-0_106076_2001-04-10_final
2001-04-26 10:46:03	ga_ls7e_ard_3-0-0_106076_2001-04-26_final
2001-09-17 10:44:28	ga_ls7e_ard_3-0-0_106076_2001-09-17_final
2001-12-02 09:31:08	ga_ls7e_ard_3-0-0_094078_2001-12-02_final
2002-11-27 10:21:28	ga_ls7e_ard_3-0-0_102081_2002-11-27_final
2003-04-12 11:08:40	ga_ls7e_ard_3-0-0_110074_2003-04-12_final
2003-10-19 11:20:31	ga_ls7e_ard_3-0-0_112074_2003-10-19_final
2003-11-24 10:58:36	ga_ls7e_ard_3-0-0_108080_2003-11-24_final
2003-12-20 09:52:34	ga_ls7e_ard_3-0-0_098069_2003-12-20_final
2004-01-20 09:17:52	ga_ls7e_ard_3-0-0_091090_2004-01-19_final
2004-05-14 09:43:46	ga_ls7e_ard_3-0-0_096077_2004-05-14_final
2004-08-01 09:05:20	ga_ls7e_ard_3-0-0_089090_2004-07-31_final
2005-05-28 09:30:00	ga_ls7e_ard_3-1-0_093088_2005-05-28_final
2005-09-28 10:45:03	ga_ls7e_ard_3-0-0_106076_2005-09-28_final
2005-10-17 11:15:14	ga_ls7e_ard_3-0-0_111074_2005-10-17_final
2005-12-07 10:09:18	ga_ls7e_ard_3-0-0_100078_2005-12-07_final
2006-07-16 09:36:59	ga_ls7e_ard_3-0-0_095074_2006-07-16_final
2006-09-07 09:59:19	ga_ls7e_ard_3-0-0_098084_2006-09-07_final
2007-03-21 10:30:22	ga_ls7e_ard_3-0-0_103082_2007-03-21_final
2007-04-30 09:34:52	ga_ls7e_ard_3-0-0_095067_2007-04-30_final
2007-09-12 11:25:41	ga_ls7e_ard_3-0-0_112083_2007-09-12_final
2007-12-19 09:30:56	ga_ls7e_ard_3-0-0_094073_2007-12-19_final
2008-06-07 10:49:35	ga_ls7e_ard_3-0-0_107070_2008-06-07_final
2008-09-20 09:10:45	ga_ls7e_ard_3-0-0_090088_2008-09-19_final
2008-11-08 11:31:06	ga_ls7e_ard_3-0-0_113083_2008-11-08_final
2008-11-28 09:27:45	ga_ls7e_ard_3-1-0_093083_2008-11-27_final
2008-12-28 09:34:00	ga_ls7e_ard_3-0-0_095067_2008-12-28_final
2009-04-06 10:09:36	ga_ls7e_ard_3-0-0_100077_2009-04-06_final
2009-04-14 10:57:53	ga_ls7e_ard_3-0-0_108074_2009-04-14_final
2009-11-26 09:08:38	ga_ls7e_ard_3-0-0_090078_2009-11-25_final
2009-12-27 10:04:43	ga_ls7e_ard_3-0-0_099078_2009-12-27_final
2010-01-16 09:38:44	ga_ls7e_ard_3-0-0_095074_2010-01-16_final
2010-04-22 11:22:17	ga_ls7e_ard_3-0-0_111084_2010-04-22_final
2010-08-04 10:26:28	ga_ls7e_ard_3-0-0_103068_2010-08-04_final
2010-09-11 09:54:39	ga_ls7e_ard_3-0-0_097081_2010-09-11_final
2011-10-25 09:43:57	ga_ls7e_ard_3-0-0_096067_2011-10-25_final
2012-06-25 09:28:20	ga_ls7e_ard_3-0-0_092087_2012-06-24_final
2012-06-25 11:02:25	ga_ls7e_ard_3-1-0_108075_2012-06-25_final
2013-07-15 10:09:18	ga_ls7e_ard_3-0-0_099079_2013-07-15_final
2013-11-14 09:09:30	ga_ls7e_ard_3-0-0_089082_2013-11-13_final
2013-11-28 10:56:03	ga_ls7e_ard_3-0-0_107070_2013-11-28_final
2014-02-01 10:03:48	ga_ls7e_ard_3-0-0_098077_2014-02-01_final
2014-02-04 10:31:33	ga_ls7e_ard_3-0-0_103069_2014-02-04_final
2015-11-14 09:47:30	ga_ls7e_ard_3-1-0_095073_2015-11-14_final
2016-08-08 11:53:50	ga_ls7e_ard_3-0-0_115075_2016-08-08_final
2016-10-11 10:11:53	ga_ls7e_ard_3-0-0_099067_2016-10-11_final
2017-02-21 10:35:16	ga_ls7e_ard_3-0-0_102081_2017-02-21_final
2017-12-17 10:15:04	ga_ls7e_ard_3-0-0_099076_2017-12-17_final
2018-10-19 11:39:09	ga_ls7e_ard_3-0-0_113083_2018-10-19_final
2019-08-03 09:50:52	ga_ls7e_ard_3-0-0_097083_2019-08-03_final
2020-04-01 09:24:55	ga_ls7e_ard_3-1-0_095078_2020-03-31_final
2020-07-01 09:04:11	ga_ls7e_ard_3-1-0_092086_2020-06-30_final
2021-02-08 10:39:15	ga_ls7e_ard_3-2-0_110083_2021-02-08_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_final
2021-11-29 09:36:35	ga_ls7e_ard_3-2-1_104082_2021-11-29_final
2022-03-07 09:09:04	ga_ls7e_ard_3-2-1_102068_2022-03-06_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