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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

68 results

Time (local)	Label
2000-03-26 10:25:50	ga_ls7e_ard_3-0-0_102081_2000-03-26_final
2000-04-10 09:38:46	ga_ls7e_ard_3-0-0_095072_2000-04-10_final
2001-01-02 09:20:15	ga_ls7e_ard_3-0-0_092077_2001-01-01_final
2001-02-15 09:43:24	ga_ls7e_ard_3-0-0_096073_2001-02-15_final
2001-03-01 11:35:45	ga_ls7e_ard_3-0-0_114076_2001-03-01_final
2001-04-30 10:23:20	ga_ls7e_ard_3-0-0_102081_2001-04-30_final
2001-07-19 10:22:34	ga_ls7e_ard_3-0-0_102081_2001-07-19_final
2001-09-13 11:10:03	ga_ls7e_ard_3-0-0_110078_2001-09-13_final
2001-11-06 10:31:37	ga_ls7e_ard_3-0-0_104075_2001-11-06_final
2002-01-15 09:58:30	ga_ls7e_ard_3-0-0_098084_2002-01-15_final
2002-03-15 11:18:57	ga_ls7e_ard_3-0-0_111084_2002-03-15_final
2002-10-02 09:33:31	ga_ls7e_ard_3-1-0_094086_2002-10-02_final
2003-11-02 09:58:32	ga_ls7e_ard_3-0-0_098085_2003-11-02_final
2004-12-12 09:18:14	ga_ls7e_ard_3-0-0_092075_2004-12-11_final
2005-04-03 09:22:18	ga_ls7e_ard_3-0-0_092084_2005-04-02_final
2005-10-07 09:01:54	ga_ls7e_ard_3-1-0_089081_2005-10-06_final
2006-05-26 10:46:03	ga_ls7e_ard_3-0-0_106076_2006-05-26_final
2006-10-13 09:30:51	ga_ls7e_ard_3-0-0_094075_2006-10-13_final
2006-11-11 10:41:41	ga_ls7e_ard_3-0-0_105081_2006-11-11_final
2007-07-26 09:43:56	ga_ls7e_ard_3-0-0_096075_2007-07-26_final
2007-12-22 10:00:15	ga_ls7e_ard_3-0-0_099069_2007-12-22_final
2008-11-17 09:44:09	ga_ls7e_ard_3-0-0_096078_2008-11-17_final
2009-05-07 09:30:27	ga_ls7e_ard_3-1-0_093087_2009-05-07_final
2009-07-13 09:53:17	ga_ls7e_ard_3-0-0_098067_2009-07-13_final
2009-07-31 09:48:01	ga_ls7e_ard_3-0-0_096085_2009-07-31_final
2009-09-15 11:36:23	ga_ls7e_ard_3-0-0_114078_2009-09-15_final
2009-11-25 11:43:32	ga_ls7e_ard_3-0-0_115079_2009-11-25_final
2010-11-29 10:47:16	ga_ls7e_ard_3-0-0_106072_2010-11-29_final
2010-12-27 09:35:44	ga_ls7e_ard_3-0-0_094078_2010-12-27_final
2011-02-10 09:05:56	ga_ls7e_ard_3-0-0_089080_2011-02-09_final
2011-03-12 09:13:39	ga_ls7e_ard_3-1-0_091068_2011-03-11_final
2011-03-20 10:05:53	ga_ls7e_ard_3-0-0_099075_2011-03-20_final
2011-04-13 10:58:34	ga_ls7e_ard_3-0-0_107083_2011-04-13_final
2011-10-08 09:08:07	ga_ls7e_ard_3-0-0_089086_2011-10-07_final
2011-12-24 10:13:14	ga_ls7e_ard_3-0-0_100077_2011-12-24_final
2012-06-11 09:16:40	ga_ls7e_ard_3-0-0_090089_2012-06-10_final
2012-08-23 10:45:01	ga_ls7e_ard_3-0-0_105076_2012-08-23_final
2012-08-30 10:52:27	ga_ls7e_ard_3-0-0_106079_2012-08-30_final
2012-10-23 10:12:43	ga_ls7e_ard_3-0-0_100071_2012-10-23_final
2013-02-24 10:40:58	ga_ls7e_ard_3-0-0_104079_2013-02-24_final
2013-03-18 11:43:32	ga_ls7e_ard_3-0-0_114081_2013-03-18_final
2014-12-02 10:03:19	ga_ls7e_ard_3-0-0_098072_2014-12-02_final
2015-08-22 10:12:58	ga_ls7e_ard_3-0-0_099077_2015-08-22_final
2015-08-23 09:18:56	ga_ls7e_ard_3-0-0_090081_2015-08-22_final
2015-11-12 09:58:13	ga_ls7e_ard_3-0-0_097069_2015-11-12_final
2016-03-11 09:14:11	ga_ls7e_ard_3-0-0_089079_2016-03-10_final
2016-03-14 11:21:59	ga_ls7e_ard_3-0-0_110074_2016-03-14_final
2016-08-25 09:20:09	ga_ls7e_ard_3-0-0_090077_2016-08-24_final
2016-09-27 11:41:12	ga_ls7e_ard_3-0-0_113074_2016-09-27_final
2016-10-24 11:19:49	ga_ls7e_ard_3-0-0_110067_2016-10-24_final
2016-10-27 10:18:13	ga_ls7e_ard_3-0-0_099083_2016-10-27_final
2017-02-18 10:05:56	ga_ls7e_ard_3-0-0_097085_2017-02-18_final
2017-10-15 10:57:49	ga_ls7e_ard_3-0-0_106074_2017-10-15_final
2017-12-02 09:19:59	ga_ls7e_ard_3-0-0_090077_2017-12-01_final
2019-02-14 10:58:25	ga_ls7e_ard_3-0-0_107082_2019-02-14_final
2019-04-12 09:13:53	ga_ls7e_ard_3-0-0_090088_2019-04-11_final
2019-04-28 10:46:59	ga_ls7e_ard_3-1-0_106075_2019-04-28_final
2019-07-05 10:22:31	ga_ls7e_ard_3-0-0_102082_2019-07-05_final
2019-07-13 11:12:03	ga_ls7e_ard_3-0-0_110083_2019-07-13_final
2019-12-29 10:54:47	ga_ls7e_ard_3-1-0_109074_2019-12-29_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-04-14 10:31:21	ga_ls7e_ard_3-1-0_106076_2020-04-14_final
2020-08-20 10:23:36	ga_ls7e_ard_3-1-0_106076_2020-08-20_final
2021-01-03 11:00:11	ga_ls7e_ard_3-1-0_114067_2021-01-03_final
2021-02-13 09:14:09	ga_ls7e_ard_3-2-0_097072_2021-02-12_final
2021-07-31 09:51:19	ga_ls7e_ard_3-2-0_105076_2021-07-31_final
2022-01-12 08:20:10	ga_ls7e_ard_3-2-1_092087_2022-01-11_final
2022-04-02 09:50:00	ga_ls7e_ard_3-2-1_108084_2022-04-02_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