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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
2000-01-01 11:45:36	ga_ls7e_ard_3-0-0_115079_2000-01-01_final
2000-03-23 09:50:34	ga_ls7e_ard_3-0-0_097070_2000-03-23_final
2002-02-27 11:15:03	ga_ls7e_ard_3-0-0_111074_2002-02-27_final
2002-03-06 11:21:11	ga_ls7e_ard_3-0-0_112074_2002-03-06_final
2002-04-05 11:36:12	ga_ls7e_ard_3-0-0_114081_2002-04-05_final
2002-09-13 09:00:48	ga_ls7e_ard_3-1-0_089081_2002-09-12_final
2003-06-01 09:18:33	ga_ls7e_ard_3-0-0_092077_2003-05-31_final
2004-04-10 09:58:33	ga_ls7e_ard_3-0-0_098083_2004-04-10_final
2004-09-25 10:44:11	ga_ls7e_ard_3-1-0_106075_2004-09-25_final
2005-01-23 09:57:08	ga_ls7e_ard_3-0-0_098079_2005-01-23_final
2005-02-08 09:57:17	ga_ls7e_ard_3-0-0_098079_2005-02-08_final
2005-04-19 09:24:10	ga_ls7e_ard_3-0-0_092089_2005-04-18_final
2005-11-13 09:23:19	ga_ls7e_ard_3-0-0_092087_2005-11-12_final
2006-04-23 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-04-23_final
2006-05-02 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-05-02_final
2006-05-10 09:11:09	ga_ls7e_ard_3-0-0_090086_2006-05-09_final
2006-07-01 10:18:22	ga_ls7e_ard_3-0-0_102069_2006-07-01_final
2006-09-04 09:27:14	ga_ls7e_ard_3-0-0_093081_2006-09-03_final
2006-09-18 09:35:55	ga_ls7e_ard_3-0-0_095072_2006-09-18_final
2007-02-14 11:37:26	ga_ls7e_ard_3-0-0_114080_2007-02-14_final
2007-03-29 11:19:01	ga_ls7e_ard_3-0-0_111080_2007-03-29_final
2007-04-04 10:37:32	ga_ls7e_ard_3-0-0_105069_2007-04-04_final
2007-07-21 11:07:29	ga_ls7e_ard_3-0-0_109083_2007-07-21_final
2008-01-08 09:07:51	ga_ls7e_ard_3-0-0_090077_2008-01-07_final
2008-03-25 10:16:01	ga_ls7e_ard_3-0-0_101078_2008-03-25_final
2008-09-24 10:17:41	ga_ls7e_ard_3-0-0_102070_2008-09-24_final
2008-09-29 09:00:53	ga_ls7e_ard_3-0-0_089079_2008-09-28_final
2008-11-28 11:01:50	ga_ls7e_ard_3-0-0_109071_2008-11-28_final
2009-04-15 10:04:40	ga_ls7e_ard_3-0-0_099080_2009-04-15_final
2009-05-05 11:19:18	ga_ls7e_ard_3-0-0_111081_2009-05-05_final
2009-12-20 09:54:50	ga_ls7e_ard_3-0-0_098069_2009-12-20_final
2009-12-24 11:11:03	ga_ls7e_ard_3-0-0_110074_2009-12-24_final
2010-02-23 09:08:05	ga_ls7e_ard_3-1-0_089089_2010-02-22_final
2010-04-18 10:04:32	ga_ls7e_ard_3-0-0_099075_2010-04-18_final
2010-07-15 10:51:59	ga_ls7e_ard_3-0-0_107070_2010-07-15_final
2011-01-16 10:46:53	ga_ls7e_ard_3-0-0_106070_2011-01-16_final
2011-03-22 09:52:43	ga_ls7e_ard_3-0-0_097073_2011-03-22_final
2011-06-02 09:07:19	ga_ls7e_ard_3-0-0_089083_2011-06-01_final
2012-02-25 11:11:51	ga_ls7e_ard_3-0-0_109084_2012-02-25_final
2012-06-03 10:01:43	ga_ls7e_ard_3-0-0_098078_2012-06-03_final
2012-07-18 11:09:20	ga_ls7e_ard_3-0-0_109076_2012-07-18_final
2013-02-28 10:13:26	ga_ls7e_ard_3-0-0_100072_2013-02-28_final
2013-06-30 09:13:02	ga_ls7e_ard_3-0-0_090077_2013-06-29_final
2013-07-16 09:17:16	ga_ls7e_ard_3-0-0_090088_2013-07-15_final
2013-11-20 11:46:59	ga_ls7e_ard_3-0-0_115074_2013-11-20_final
2014-05-19 09:44:09	ga_ls7e_ard_3-1-0_095073_2014-05-19_final
2014-06-24 09:25:31	ga_ls7e_ard_3-0-0_091088_2014-06-23_final
2014-08-09 11:11:47	ga_ls7e_ard_3-0-0_109075_2014-08-09_final
2014-08-29 10:45:02	ga_ls7e_ard_3-0-0_105070_2014-08-29_final
2014-10-16 09:12:06	ga_ls7e_ard_3-0-0_089084_2014-10-15_final
2014-12-24 11:04:29	ga_ls7e_ard_3-0-0_108070_2014-12-24_final
2015-03-01 09:59:37	ga_ls7e_ard_3-0-0_097077_2015-03-01_final
2015-03-31 10:09:47	ga_ls7e_ard_3-0-0_099071_2015-03-31_final
2015-07-14 10:09:04	ga_ls7e_ard_3-0-0_098083_2015-07-14_final
2015-08-15 10:03:59	ga_ls7e_ard_3-0-0_098070_2015-08-15_final
2015-09-16 10:07:16	ga_ls7e_ard_3-0-0_098078_2015-09-16_final
2015-11-26 10:10:47	ga_ls7e_ard_3-0-0_099069_2015-11-26_final
2015-12-18 11:18:32	ga_ls7e_ard_3-0-0_109083_2015-12-18_final
2016-06-09 09:54:07	ga_ls7e_ard_3-0-0_095085_2016-06-09_final
2016-09-01 09:29:09	ga_ls7e_ard_3-0-0_091084_2016-08-31_final
2016-09-09 10:17:01	ga_ls7e_ard_3-0-0_099080_2016-09-09_final
2016-12-14 10:12:22	ga_ls7e_ard_3-0-0_099069_2016-12-14_final
2016-12-21 10:19:18	ga_ls7e_ard_3-0-0_100071_2016-12-21_final
2017-01-25 09:14:09	ga_ls7e_ard_3-0-0_089079_2017-01-24_final
2017-03-28 09:27:30	ga_ls7e_ard_3-0-0_091081_2017-03-27_final
2017-08-25 10:28:29	ga_ls7e_ard_3-0-0_101078_2017-08-25_final
2017-09-12 10:12:07	ga_ls7e_ard_3-0-0_099068_2017-09-12_final
2017-09-25 11:25:41	ga_ls7e_ard_3-0-0_110082_2017-09-25_final
2017-10-12 10:28:30	ga_ls7e_ard_3-0-0_101078_2017-10-12_final
2017-10-16 10:00:36	ga_ls7e_ard_3-0-0_097070_2017-10-16_final
2017-11-16 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-11-16_final
2018-10-03 11:35:57	ga_ls7e_ard_3-0-0_113074_2018-10-03_final
2018-10-06 10:28:41	ga_ls7e_ard_3-0-0_102076_2018-10-06_final
2019-03-23 11:15:47	ga_ls7e_ard_3-1-0_110082_2019-03-23_final
2019-09-28 09:00:14	ga_ls7e_ard_3-1-0_089086_2019-09-27_final
2020-02-25 09:47:38	ga_ls7e_ard_3-1-0_099068_2020-02-25_final
2020-03-14 09:35:06	ga_ls7e_ard_3-1-0_097070_2020-03-14_final
2020-07-28 08:43:12	ga_ls7e_ard_3-1-0_089084_2020-07-27_final
2020-12-22 08:59:48	ga_ls7e_ard_3-1-0_094073_2020-12-21_final
2021-05-24 10:19:46	ga_ls7e_ard_3-2-0_109071_2021-05-24_final
2021-10-02 10:42:58	ga_ls7e_ard_3-2-0_114080_2021-10-02_final
2021-12-07 08:48:00	ga_ls7e_ard_3-2-1_096086_2021-12-06_final
2022-03-27 08:42:48	ga_ls7e_ard_3-2-1_098069_2022-03-26_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