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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

64 results

Time (local)	Label
2000-02-02 10:08:42	ga_ls7e_ard_3-0-0_099084_2000-02-02_final
2000-04-06 10:01:57	ga_ls7e_ard_3-0-0_099068_2000-04-06_final
2000-10-20 10:23:28	ga_ls7e_ard_3-0-0_102081_2000-10-20_final
2001-09-01 09:09:22	ga_ls7e_ard_3-1-0_090085_2001-08-31_final
2002-02-01 10:35:25	ga_ls7e_ard_3-0-0_105068_2002-02-01_final
2002-10-20 10:53:19	ga_ls7e_ard_3-0-0_108069_2002-10-20_final
2003-02-12 09:52:14	ga_ls7e_ard_3-0-0_097084_2003-02-12_final
2003-04-14 10:54:18	ga_ls7e_ard_3-0-0_108069_2003-04-14_final
2003-12-05 10:38:29	ga_ls7e_ard_3-0-0_105076_2003-12-05_final
2004-09-07 10:54:15	ga_ls7e_ard_3-0-0_108069_2004-09-07_final
2005-01-08 09:02:42	ga_ls7e_ard_3-0-0_089082_2005-01-07_final
2005-05-05 10:57:33	ga_ls7e_ard_3-1-0_108075_2005-05-05_final
2005-10-28 10:54:51	ga_ls7e_ard_3-0-0_108069_2005-10-28_final
2006-08-01 11:15:46	ga_ls7e_ard_3-0-0_111074_2006-08-01_final
2006-09-23 09:52:50	ga_ls7e_ard_3-0-0_098068_2006-09-23_final
2007-03-02 11:37:31	ga_ls7e_ard_3-0-0_114080_2007-03-02_final
2007-07-17 11:28:38	ga_ls7e_ard_3-0-0_113074_2007-07-17_final
2007-08-25 11:36:35	ga_ls7e_ard_3-0-0_114079_2007-08-25_final
2007-12-31 09:54:53	ga_ls7e_ard_3-0-0_098071_2007-12-31_final
2008-02-01 10:00:04	ga_ls7e_ard_3-0-0_098084_2008-02-01_final
2008-03-21 10:39:57	ga_ls7e_ard_3-0-0_105076_2008-03-21_final
2008-11-05 09:19:16	ga_ls7e_ard_3-0-0_092078_2008-11-04_final
2009-02-01 10:06:41	ga_ls7e_ard_3-0-0_100071_2009-02-01_final
2009-03-11 11:09:14	ga_ls7e_ard_3-1-0_110072_2009-03-11_final
2009-05-07 11:05:20	ga_ls7e_ard_3-0-0_109077_2009-05-07_final
2009-12-13 09:49:19	ga_ls7e_ard_3-0-0_097071_2009-12-13_final
2010-05-24 11:17:00	ga_ls7e_ard_3-0-0_111071_2010-05-24_final
2010-06-02 09:35:57	ga_ls7e_ard_3-0-0_094081_2010-06-02_final
2010-10-11 10:03:03	ga_ls7e_ard_3-0-0_099071_2010-10-11_final
2011-01-24 11:37:59	ga_ls7e_ard_3-0-0_114074_2011-01-24_final
2011-02-10 09:06:20	ga_ls7e_ard_3-1-0_089081_2011-02-09_final
2011-11-08 10:03:13	ga_ls7e_ard_3-0-0_098084_2011-11-08_final
2011-11-19 11:18:31	ga_ls7e_ard_3-0-0_111071_2011-11-19_final
2011-12-17 11:46:38	ga_ls7e_ard_3-0-0_115079_2011-12-17_final
2012-03-22 11:45:20	ga_ls7e_ard_3-0-0_115075_2012-03-22_final
2012-06-07 11:17:01	ga_ls7e_ard_3-0-0_110081_2012-06-07_final
2014-08-25 11:10:32	ga_ls7e_ard_3-0-0_109072_2014-08-25_final
2014-12-01 09:25:38	ga_ls7e_ard_3-1-0_091086_2014-11-30_final
2015-05-12 10:48:25	ga_ls7e_ard_3-0-0_105074_2015-05-12_final
2015-06-19 10:13:08	ga_ls7e_ard_3-0-0_099078_2015-06-19_final
2015-07-09 09:51:42	ga_ls7e_ard_3-0-0_095086_2015-07-09_final
2015-10-24 09:32:12	ga_ls7e_ard_3-0-0_092082_2015-10-24_final
2016-11-24 10:37:10	ga_ls7e_ard_3-0-0_103069_2016-11-24_final
2017-01-02 10:44:18	ga_ls7e_ard_3-0-0_104072_2017-01-02_final
2017-07-06 10:39:18	ga_ls7e_ard_3-0-0_103074_2017-07-06_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2018-05-02 09:26:31	ga_ls7e_ard_3-0-0_091083_2018-05-01_final
2018-07-29 11:51:17	ga_ls7e_ard_3-0-0_115078_2018-07-29_final
2018-12-29 09:59:52	ga_ls7e_ard_3-0-0_098071_2018-12-29_final
2019-01-07 09:57:48	ga_ls7e_ard_3-0-0_097082_2019-01-07_final
2019-01-31 09:07:59	ga_ls7e_ard_3-0-0_089083_2019-01-30_final
2019-10-14 10:34:27	ga_ls7e_ard_3-1-0_105076_2019-10-14_final
2020-03-09 09:20:49	ga_ls7e_ard_3-1-0_094080_2020-03-08_final
2020-05-17 09:30:58	ga_ls7e_ard_3-1-0_097069_2020-05-17_final
2020-08-04 10:24:13	ga_ls7e_ard_3-1-0_106075_2020-08-04_final
2020-09-01 10:50:20	ga_ls7e_ard_3-1-0_110083_2020-09-01_final
2021-01-25 10:23:56	ga_ls7e_ard_3-2-0_108073_2021-01-25_final
2021-03-21 08:47:50	ga_ls7e_ard_3-2-0_093075_2021-03-20_final
2021-04-07 09:30:30	ga_ls7e_ard_3-2-0_100077_2021-04-07_final
2021-07-08 09:45:55	ga_ls7e_ard_3-2-0_104073_2021-07-08_final
2021-08-01 10:37:40	ga_ls7e_ard_3-2-0_112084_2021-08-01_final
2021-09-08 09:56:28	ga_ls7e_ard_3-2-0_106082_2021-09-08_final
2021-11-07 08:38:06	ga_ls7e_ard_3-2-0_094085_2021-11-06_final
2021-12-22 09:34:59	ga_ls7e_ard_3-2-1_105068_2021-12-22_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