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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

62 results

Time (local)	Label
1999-08-09 10:58:27	ga_ls7e_ard_3-0-0_108069_1999-08-09_final
1999-10-12 10:58:34	ga_ls7e_ard_3-0-0_108069_1999-10-12_final
1999-11-09 09:43:30	ga_ls7e_ard_3-0-0_096067_1999-11-09_final
1999-11-13 10:58:26	ga_ls7e_ard_3-0-0_108069_1999-11-13_final
2000-03-20 11:00:09	ga_ls7e_ard_3-0-0_108074_2000-03-20_final
2000-07-28 10:46:47	ga_ls7e_ard_3-1-0_106075_2000-07-28_final
2000-11-11 09:40:55	ga_ls7e_ard_3-0-0_096067_2000-11-11_final
2001-02-25 10:24:00	ga_ls7e_ard_3-0-0_102082_2001-02-25_final
2001-06-17 10:22:48	ga_ls7e_ard_3-0-0_102081_2001-06-17_final
2001-07-19 10:22:34	ga_ls7e_ard_3-0-0_102081_2001-07-19_final
2001-09-29 11:11:05	ga_ls7e_ard_3-0-0_110081_2001-09-29_final
2001-11-30 09:39:08	ga_ls7e_ard_3-0-0_096067_2001-11-30_final
2002-01-30 09:16:50	ga_ls7e_ard_3-0-0_091088_2002-01-29_final
2002-03-02 10:08:16	ga_ls7e_ard_3-0-0_100077_2002-03-02_final
2002-04-11 10:54:22	ga_ls7e_ard_3-0-0_108069_2002-04-11_final
2002-08-03 10:43:47	ga_ls7e_ard_3-1-0_106075_2002-08-03_final
2002-10-04 10:53:16	ga_ls7e_ard_3-0-0_108069_2002-10-04_final
2003-02-01 10:07:51	ga_ls7e_ard_3-0-0_100077_2003-02-01_final
2003-07-21 10:44:07	ga_ls7e_ard_3-1-0_106075_2003-07-21_final
2003-10-14 11:02:16	ga_ls7e_ard_3-0-0_109075_2003-10-14_final
2004-01-27 10:54:36	ga_ls7e_ard_3-0-0_108069_2004-01-27_final
2004-07-23 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-07-23_final
2004-11-01 11:02:59	ga_ls7e_ard_3-0-0_109075_2004-11-01_final
2005-03-02 10:55:14	ga_ls7e_ard_3-0-0_108069_2005-03-02_final
2005-03-10 10:09:00	ga_ls7e_ard_3-0-0_100077_2005-03-10_final
2005-03-29 10:39:04	ga_ls7e_ard_3-0-0_105075_2005-03-29_final
2005-11-15 09:08:35	ga_ls7e_ard_3-0-0_090081_2005-11-14_final
2006-03-10 09:34:31	ga_ls7e_ard_3-0-0_095067_2006-03-10_final
2006-04-30 10:09:20	ga_ls7e_ard_3-0-0_100077_2006-04-30_final
2007-01-22 09:48:13	ga_ls7e_ard_3-0-0_097070_2007-01-22_final
2007-04-09 10:56:04	ga_ls7e_ard_3-0-0_108069_2007-04-09_final
2007-05-11 10:55:57	ga_ls7e_ard_3-0-0_108069_2007-05-11_final
2009-06-13 09:41:01	ga_ls7e_ard_3-0-0_096067_2009-06-13_final
2009-07-25 10:23:32	ga_ls7e_ard_3-0-0_102081_2009-07-25_final
2010-03-24 10:11:28	ga_ls7e_ard_3-0-0_100077_2010-03-24_final
2010-04-18 10:02:56	ga_ls7e_ard_3-0-0_099071_2010-04-18_final
2011-03-20 10:07:52	ga_ls7e_ard_3-0-0_099080_2011-03-20_final
2012-04-15 10:55:49	ga_ls7e_ard_3-0-0_107075_2012-04-15_final
2012-06-15 10:27:40	ga_ls7e_ard_3-0-0_102081_2012-06-15_final
2012-06-26 11:46:53	ga_ls7e_ard_3-0-0_115078_2012-06-26_final
2012-11-26 10:05:43	ga_ls7e_ard_3-0-0_098084_2012-11-26_final
2012-11-28 09:46:35	ga_ls7e_ard_3-0-0_096067_2012-11-28_final
2013-01-19 11:03:18	ga_ls7e_ard_3-0-0_108073_2013-01-19_final
2014-04-28 11:03:10	ga_ls7e_ard_3-0-0_108070_2014-04-28_final
2014-08-24 10:30:52	ga_ls7e_ard_3-0-0_102081_2014-08-24_final
2015-04-11 09:49:47	ga_ls7e_ard_3-0-0_096067_2015-04-11_final
2015-05-19 09:22:08	ga_ls7e_ard_3-0-0_090090_2015-05-18_final
2015-09-18 09:50:32	ga_ls7e_ard_3-0-0_096067_2015-09-18_final
2016-01-24 09:52:19	ga_ls7e_ard_3-0-0_096067_2016-01-24_final
2016-07-29 11:16:20	ga_ls7e_ard_3-0-0_109074_2016-07-29_final
2017-08-22 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-08-22_final
2017-10-09 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-10-09_final
2018-08-03 10:32:03	ga_ls7e_ard_3-0-0_102081_2018-08-03_final
2018-09-05 11:11:52	ga_ls7e_ard_3-0-0_109074_2018-09-05_final
2019-07-22 11:02:19	ga_ls7e_ard_3-0-0_109075_2019-07-22_final
2020-11-18 10:53:57	ga_ls7e_ard_3-1-0_112074_2020-11-18_final
2020-12-26 08:36:24	ga_ls7e_ard_3-1-0_090077_2020-12-25_final
2021-03-01 09:12:56	ga_ls7e_ard_3-2-0_097072_2021-02-28_final
2021-08-04 09:28:38	ga_ls7e_ard_3-2-0_101082_2021-08-03_final
2021-08-13 09:17:16	ga_ls7e_ard_3-2-0_100071_2021-08-12_final
2021-09-14 09:17:16	ga_ls7e_ard_3-2-0_100078_2021-09-13_final
2021-09-29 10:10:20	ga_ls7e_ard_3-2-0_109075_2021-09-29_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