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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
1999-08-08 10:20:47	ga_ls7e_ard_3-0-0_101083_1999-08-08_final
2000-06-29 11:20:57	ga_ls7e_ard_3-1-0_111082_2000-06-29_final
2000-10-31 10:04:17	ga_ls7e_ard_3-0-0_099079_2000-10-31_final
2002-10-06 10:44:05	ga_ls7e_ard_3-0-0_106077_2002-10-06_final
2002-10-19 10:15:15	ga_ls7e_ard_3-0-0_101082_2002-10-19_final
2003-08-02 11:09:08	ga_ls7e_ard_3-0-0_110076_2003-08-02_final
2003-09-26 09:32:36	ga_ls7e_ard_3-0-0_095067_2003-09-26_final
2003-10-27 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-10-27_final
2003-12-09 10:16:36	ga_ls7e_ard_3-0-0_101083_2003-12-09_final
2004-01-27 09:23:42	ga_ls7e_ard_3-0-0_092089_2004-01-26_final
2004-02-05 10:49:16	ga_ls7e_ard_3-0-0_107071_2004-02-05_final
2004-10-25 09:23:01	ga_ls7e_ard_3-0-0_092088_2004-10-24_final
2004-11-27 09:59:48	ga_ls7e_ard_3-0-0_099071_2004-11-27_final
2004-12-04 10:08:26	ga_ls7e_ard_3-0-0_100077_2004-12-04_final
2005-01-01 08:56:05	ga_ls7e_ard_3-0-0_088081_2004-12-31_final
2005-02-23 10:53:48	ga_ls7e_ard_3-0-0_107081_2005-02-23_final
2005-07-11 09:48:59	ga_ls7e_ard_3-0-0_097074_2005-07-11_final
2005-11-15 10:42:16	ga_ls7e_ard_3-0-0_106068_2005-11-15_final
2006-01-10 11:36:03	ga_ls7e_ard_3-0-0_114078_2006-01-10_final
2006-02-04 09:53:34	ga_ls7e_ard_3-0-0_097084_2006-02-04_final
2006-02-18 09:59:12	ga_ls7e_ard_3-0-0_099067_2006-02-18_final
2006-08-01 11:18:10	ga_ls7e_ard_3-0-0_111080_2006-08-01_final
2006-09-24 10:39:17	ga_ls7e_ard_3-0-0_105076_2006-09-24_final
2006-10-24 10:51:23	ga_ls7e_ard_3-0-0_107075_2006-10-24_final
2007-03-11 09:48:29	ga_ls7e_ard_3-0-0_097070_2007-03-11_final
2007-07-08 09:55:34	ga_ls7e_ard_3-0-0_098073_2007-07-08_final
2008-05-31 09:12:34	ga_ls7e_ard_3-0-0_090090_2008-05-30_final
2008-08-04 09:53:11	ga_ls7e_ard_3-0-0_097085_2008-08-04_final
2008-10-02 09:34:33	ga_ls7e_ard_3-0-0_094086_2008-10-02_final
2009-02-22 10:27:49	ga_ls7e_ard_3-0-0_103077_2009-02-22_final
2009-07-19 09:22:57	ga_ls7e_ard_3-0-0_092084_2009-07-18_final
2010-02-10 09:32:29	ga_ls7e_ard_3-0-0_094073_2010-02-10_final
2010-06-12 10:09:03	ga_ls7e_ard_3-0-0_100071_2010-06-12_final
2010-12-02 11:18:12	ga_ls7e_ard_3-0-0_111072_2010-12-02_final
2010-12-06 09:16:38	ga_ls7e_ard_3-0-0_091077_2010-12-05_final
2011-03-17 09:34:35	ga_ls7e_ard_3-0-0_094074_2011-03-17_final
2011-03-21 10:48:20	ga_ls7e_ard_3-0-0_106073_2011-03-21_final
2011-10-16 09:57:14	ga_ls7e_ard_3-0-0_097085_2011-10-16_final
2011-11-29 10:20:23	ga_ls7e_ard_3-0-0_101080_2011-11-29_final
2011-12-03 09:53:18	ga_ls7e_ard_3-0-0_097074_2011-12-03_final
2012-01-08 11:06:33	ga_ls7e_ard_3-0-0_109071_2012-01-08_final
2012-06-04 10:44:09	ga_ls7e_ard_3-0-0_105076_2012-06-04_final
2012-07-25 11:18:47	ga_ls7e_ard_3-0-0_110084_2012-07-25_final
2014-01-07 10:05:58	ga_ls7e_ard_3-0-0_099068_2014-01-07_final
2014-03-16 09:47:40	ga_ls7e_ard_3-0-0_095083_2014-03-16_final
2014-04-05 09:22:15	ga_ls7e_ard_3-0-0_091081_2014-04-04_final
2014-10-13 10:14:52	ga_ls7e_ard_3-0-0_100071_2014-10-13_final
2015-02-02 10:15:35	ga_ls7e_ard_3-0-0_100071_2015-02-02_final
2015-07-10 10:30:35	ga_ls7e_ard_3-0-0_102075_2015-07-10_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2016-01-26 11:18:52	ga_ls7e_ard_3-0-0_110067_2016-01-26_final
2016-04-27 10:06:54	ga_ls7e_ard_3-0-0_098071_2016-04-27_final
2016-05-29 11:47:06	ga_ls7e_ard_3-0-0_114074_2016-05-29_final
2016-12-24 09:16:05	ga_ls7e_ard_3-0-0_089083_2016-12-23_final
2017-01-28 11:20:20	ga_ls7e_ard_3-0-0_110070_2017-01-28_final
2017-01-31 11:54:24	ga_ls7e_ard_3-0-0_115078_2017-01-31_final
2017-04-12 10:22:25	ga_ls7e_ard_3-0-0_100079_2017-04-12_final
2017-12-07 11:16:10	ga_ls7e_ard_3-0-0_109074_2017-12-07_final
2018-06-05 10:49:17	ga_ls7e_ard_3-0-0_105075_2018-06-05_final
2018-08-22 09:27:18	ga_ls7e_ard_3-0-0_091090_2018-08-21_final
2018-10-18 10:54:42	ga_ls7e_ard_3-0-0_106080_2018-10-18_final
2018-11-08 11:10:24	ga_ls7e_ard_3-0-0_109074_2018-11-08_final
2018-12-30 09:07:24	ga_ls7e_ard_3-0-0_089079_2018-12-29_final
2019-01-06 09:15:46	ga_ls7e_ard_3-1-0_090085_2019-01-05_final
2019-02-24 11:32:00	ga_ls7e_ard_3-1-0_113074_2019-02-24_final
2019-07-20 09:35:53	ga_ls7e_ard_3-0-0_095075_2019-07-20_final
2019-11-01 10:22:55	ga_ls7e_ard_3-1-0_103080_2019-11-01_final
2020-05-31 09:42:52	ga_ls7e_ard_3-1-0_099070_2020-05-31_final
2020-06-19 10:17:27	ga_ls7e_ard_3-1-0_104082_2020-06-19_final
2020-06-21 09:59:48	ga_ls7e_ard_3-1-0_102069_2020-06-21_final
2020-07-05 10:16:30	ga_ls7e_ard_3-1-0_104082_2020-07-05_final
2020-10-23 10:16:15	ga_ls7e_ard_3-1-0_106068_2020-10-23_final
2020-11-11 09:12:34	ga_ls7e_ard_3-1-0_095082_2020-11-10_final
2020-12-05 09:55:07	ga_ls7e_ard_3-1-0_103069_2020-12-05_final
2020-12-16 09:36:57	ga_ls7e_ard_3-1-0_100072_2020-12-16_final
2021-03-28 10:30:20	ga_ls7e_ard_3-2-0_110070_2021-03-28_final
2021-04-15 08:43:59	ga_ls7e_ard_3-2-0_092086_2021-04-14_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-07-31 09:51:19	ga_ls7e_ard_3-2-0_105076_2021-07-31_final
2021-10-09 10:46:57	ga_ls7e_ard_3-2-0_115076_2021-10-09_final
2021-11-20 09:39:38	ga_ls7e_ard_3-2-1_105072_2021-11-20_final
2022-02-26 09:16:08	ga_ls7e_ard_3-2-1_103068_2022-02-25_final
2022-04-02 09:45:37	ga_ls7e_ard_3-2-1_108073_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years