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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

83 results

Time (local)	Label
1999-10-06 10:00:47	ga_ls7e_ard_3-0-0_098079_1999-10-06_final
2000-01-17 10:03:07	ga_ls7e_ard_3-0-0_099070_2000-01-17_final
2000-12-17 10:57:58	ga_ls7e_ard_3-0-0_108074_2000-12-17_final
2001-01-29 09:02:14	ga_ls7e_ard_3-0-0_089078_2001-01-28_final
2001-10-18 11:39:53	ga_ls7e_ard_3-0-0_115076_2001-10-18_final
2001-11-10 10:06:57	ga_ls7e_ard_3-0-0_100075_2001-11-10_final
2002-06-05 11:02:20	ga_ls7e_ard_3-0-0_109074_2002-06-05_final
2003-01-25 10:01:37	ga_ls7e_ard_3-0-0_099077_2003-01-25_final
2003-08-11 09:27:14	ga_ls7e_ard_3-0-0_093084_2003-08-10_final
2003-11-08 09:21:30	ga_ls7e_ard_3-0-0_092085_2003-11-07_final
2004-01-12 10:01:38	ga_ls7e_ard_3-0-0_099076_2004-01-12_final
2004-04-01 09:59:36	ga_ls7e_ard_3-0-0_099070_2004-04-01_final
2004-08-27 11:14:27	ga_ls7e_ard_3-0-0_111073_2004-08-27_final
2005-07-15 11:03:09	ga_ls7e_ard_3-0-0_109074_2005-07-15_final
2005-08-23 09:34:41	ga_ls7e_ard_3-0-0_094085_2005-08-23_final
2006-01-28 09:41:46	ga_ls7e_ard_3-0-0_096070_2006-01-28_final
2006-02-02 10:02:43	ga_ls7e_ard_3-0-0_099076_2006-02-02_final
2006-03-31 09:57:25	ga_ls7e_ard_3-0-0_098078_2006-03-31_final
2006-04-07 09:59:59	ga_ls7e_ard_3-0-0_099069_2006-04-07_final
2006-04-20 09:36:12	ga_ls7e_ard_3-0-0_094087_2006-04-20_final
2006-05-09 10:00:47	ga_ls7e_ard_3-0-0_099071_2006-05-09_final
2006-10-15 09:23:19	ga_ls7e_ard_3-0-0_092087_2006-10-14_final
2006-11-01 10:00:28	ga_ls7e_ard_3-0-0_099071_2006-11-01_final
2006-11-24 10:06:56	ga_ls7e_ard_3-0-0_100071_2006-11-24_final
2007-06-08 09:46:02	ga_ls7e_ard_3-0-0_096080_2007-06-08_final
2007-07-31 10:05:15	ga_ls7e_ard_3-0-0_099082_2007-07-31_final
2007-11-23 10:36:12	ga_ls7e_ard_3-0-0_104082_2007-11-23_final
2007-12-11 10:23:33	ga_ls7e_ard_3-0-0_102081_2007-12-11_final
2008-02-14 09:26:43	ga_ls7e_ard_3-0-0_093078_2008-02-13_final
2008-02-18 09:06:22	ga_ls7e_ard_3-0-0_089089_2008-02-17_final
2008-05-31 09:12:34	ga_ls7e_ard_3-0-0_090090_2008-05-30_final
2008-08-02 10:03:10	ga_ls7e_ard_3-0-0_099079_2008-08-02_final
2009-02-04 10:36:24	ga_ls7e_ard_3-0-0_105068_2009-02-04_final
2009-02-26 09:59:56	ga_ls7e_ard_3-0-0_099069_2009-02-26_final
2009-04-02 10:36:17	ga_ls7e_ard_3-0-0_104082_2009-04-02_final
2009-04-17 09:48:43	ga_ls7e_ard_3-0-0_097071_2009-04-17_final
2009-06-08 09:28:52	ga_ls7e_ard_3-1-0_093083_2009-06-07_final
2010-05-29 09:59:28	ga_ls7e_ard_3-0-0_098078_2010-05-29_final
2010-06-11 09:24:11	ga_ls7e_ard_3-0-0_093067_2010-06-10_final
2011-01-17 09:54:04	ga_ls7e_ard_3-0-0_097077_2011-01-17_final
2011-01-31 10:03:43	ga_ls7e_ard_3-0-0_099070_2011-01-31_final
2011-03-04 10:07:27	ga_ls7e_ard_3-0-0_099079_2011-03-04_final
2011-07-27 09:10:59	ga_ls7e_ard_3-0-0_090077_2011-07-26_final
2011-12-22 10:27:10	ga_ls7e_ard_3-0-0_102081_2011-12-22_final
2012-04-02 09:45:53	ga_ls7e_ard_3-0-0_096070_2012-04-02_final
2012-09-24 09:11:38	ga_ls7e_ard_3-0-0_089089_2012-09-23_final
2013-02-19 10:19:16	ga_ls7e_ard_3-0-0_101071_2013-02-19_final
2013-06-15 11:37:18	ga_ls7e_ard_3-0-0_113082_2013-06-15_final
2015-07-04 11:05:37	ga_ls7e_ard_3-0-0_108070_2015-07-04_final
2015-10-13 09:44:34	ga_ls7e_ard_3-0-0_095067_2015-10-13_final
2015-10-25 11:52:46	ga_ls7e_ard_3-0-0_115078_2015-10-25_final
2015-12-09 11:24:58	ga_ls7e_ard_3-0-0_110084_2015-12-09_final
2016-01-21 11:02:16	ga_ls7e_ard_3-0-0_107072_2016-01-21_final
2016-02-23 10:04:49	ga_ls7e_ard_3-0-0_098067_2016-02-23_final
2016-04-27 10:10:29	ga_ls7e_ard_3-1-0_098080_2016-04-27_final
2016-05-10 09:42:49	ga_ls7e_ard_3-0-0_093088_2016-05-10_final
2016-09-17 11:07:40	ga_ls7e_ard_3-0-0_107083_2016-09-17_final
2017-02-13 11:21:50	ga_ls7e_ard_3-0-0_110074_2017-02-13_final
2017-04-30 10:11:46	ga_ls7e_ard_3-0-0_098083_2017-04-30_final
2018-01-02 10:15:16	ga_ls7e_ard_3-0-0_099077_2018-01-02_final
2018-01-15 11:23:28	ga_ls7e_ard_3-0-0_110078_2018-01-15_final
2018-04-08 10:10:47	ga_ls7e_ard_3-0-0_099069_2018-04-08_final
2018-05-23 11:19:12	ga_ls7e_ard_3-1-0_110072_2018-05-23_final
2018-07-03 09:38:35	ga_ls7e_ard_3-0-0_093085_2018-07-03_final
2018-08-24 09:12:30	ga_ls7e_ard_3-0-0_089084_2018-08-23_final
2018-10-19 11:39:09	ga_ls7e_ard_3-0-0_113083_2018-10-19_final
2019-02-16 09:05:31	ga_ls7e_ard_3-1-0_089078_2019-02-15_final
2019-04-02 10:09:15	ga_ls7e_ard_3-0-0_100071_2019-04-02_final
2019-06-13 09:23:09	ga_ls7e_ard_3-0-0_092086_2019-06-12_final
2019-07-13 11:08:28	ga_ls7e_ard_3-0-0_110074_2019-07-13_final
2019-08-27 10:35:43	ga_ls7e_ard_3-1-0_105074_2019-08-27_final
2019-11-02 09:24:27	ga_ls7e_ard_3-1-0_094073_2019-11-01_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-01-17 09:44:14	ga_ls7e_ard_3-1-0_098070_2020-01-17_final
2020-02-16 09:58:16	ga_ls7e_ard_3-1-0_100078_2020-02-16_final
2020-03-04 09:01:45	ga_ls7e_ard_3-1-0_091078_2020-03-03_final
2020-07-10 08:57:51	ga_ls7e_ard_3-1-0_091087_2020-07-09_final
2020-08-02 09:03:25	ga_ls7e_ard_3-1-0_092089_2020-08-01_final
2020-10-11 09:57:30	ga_ls7e_ard_3-1-0_102081_2020-10-11_final
2020-11-19 09:55:52	ga_ls7e_ard_3-1-0_103068_2020-11-19_final
2021-12-26 09:15:27	ga_ls7e_ard_3-2-1_101082_2021-12-25_final
2022-02-04 09:58:11	ga_ls7e_ard_3-2-1_109075_2022-02-04_final
2022-03-27 10:23:40	ga_ls7e_ard_3-2-1_114074_2022-03-27_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