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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

61 results

Time (local)	Label
1999-12-27 09:47:47	ga_ls7e_ard_3-0-0_096078_1999-12-27_final
2000-02-21 08:59:46	ga_ls7e_ard_3-0-0_088082_2000-02-20_final
2000-03-05 11:44:36	ga_ls7e_ard_3-0-0_115077_2000-03-05_final
2000-10-07 09:19:16	ga_ls7e_ard_3-0-0_091090_2000-10-06_final
2001-01-04 10:46:23	ga_ls7e_ard_3-0-0_106076_2001-01-04_final
2002-01-26 11:14:32	ga_ls7e_ard_3-0-0_111073_2002-01-26_final
2002-02-13 11:03:02	ga_ls7e_ard_3-0-0_109075_2002-02-13_final
2002-02-24 09:06:25	ga_ls7e_ard_3-0-0_090077_2002-02-23_final
2002-05-25 11:18:08	ga_ls7e_ard_3-0-0_112067_2002-05-25_final
2003-03-08 09:00:04	ga_ls7e_ard_3-0-0_089077_2003-03-07_final
2004-05-16 09:35:24	ga_ls7e_ard_3-0-0_094087_2004-05-16_final
2004-08-01 10:38:38	ga_ls7e_ard_3-0-0_105076_2004-08-01_final
2004-08-08 10:44:47	ga_ls7e_ard_3-0-0_106076_2004-08-08_final
2004-12-20 10:06:09	ga_ls7e_ard_3-0-0_100071_2004-12-20_final
2005-05-06 10:00:20	ga_ls7e_ard_3-0-0_099071_2005-05-06_final
2005-08-11 10:45:20	ga_ls7e_ard_3-0-0_106076_2005-08-11_final
2005-09-07 10:24:59	ga_ls7e_ard_3-0-0_103072_2005-09-07_final
2006-05-02 09:57:23	ga_ls7e_ard_3-0-0_098078_2006-05-02_final
2006-06-28 09:47:53	ga_ls7e_ard_3-0-0_097070_2006-06-28_final
2006-08-24 11:21:55	ga_ls7e_ard_3-0-0_112074_2006-08-24_final
2006-12-29 10:40:01	ga_ls7e_ard_3-0-0_105076_2006-12-29_final
2007-01-08 11:15:54	ga_ls7e_ard_3-0-0_111073_2007-01-08_final
2007-03-03 09:02:37	ga_ls7e_ard_3-0-0_089079_2007-03-02_final
2007-05-04 10:52:12	ga_ls7e_ard_3-0-0_107075_2007-05-04_final
2007-08-05 10:18:10	ga_ls7e_ard_3-0-0_102068_2007-08-05_final
2007-11-20 10:04:04	ga_ls7e_ard_3-0-0_099079_2007-11-20_final
2008-05-17 08:56:43	ga_ls7e_ard_3-0-0_088081_2008-05-16_final
2008-10-05 10:02:37	ga_ls7e_ard_3-0-0_099079_2008-10-05_final
2008-11-05 09:22:51	ga_ls7e_ard_3-0-0_092087_2008-11-04_final
2008-12-09 10:42:13	ga_ls7e_ard_3-0-0_106068_2008-12-09_final
2009-03-09 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-03-09_final
2009-08-13 10:51:56	ga_ls7e_ard_3-0-0_107075_2009-08-13_final
2009-09-22 10:04:04	ga_ls7e_ard_3-0-0_099079_2009-09-22_final
2009-09-27 10:18:36	ga_ls7e_ard_3-0-0_102069_2009-09-27_final
2010-02-13 10:03:01	ga_ls7e_ard_3-0-0_099072_2010-02-13_final
2010-05-21 10:44:54	ga_ls7e_ard_3-0-0_106068_2010-05-21_final
2011-01-10 09:50:38	ga_ls7e_ard_3-0-0_096084_2011-01-10_final
2011-11-25 09:09:48	ga_ls7e_ard_3-0-0_089089_2011-11-24_final
2014-06-09 10:07:08	ga_ls7e_ard_3-0-0_098084_2014-06-09_final
2015-04-11 09:49:47	ga_ls7e_ard_3-0-0_096067_2015-04-11_final
2016-01-01 11:31:29	ga_ls7e_ard_3-0-0_111084_2016-01-01_final
2016-03-05 11:27:17	ga_ls7e_ard_3-0-0_111072_2016-03-05_final
2016-10-03 11:02:31	ga_ls7e_ard_3-0-0_107070_2016-10-03_final
2016-12-27 11:21:51	ga_ls7e_ard_3-0-0_110073_2016-12-27_final
2017-04-05 10:12:35	ga_ls7e_ard_3-0-0_099070_2017-04-05_final
2018-06-26 09:32:57	ga_ls7e_ard_3-0-0_092086_2018-06-26_final
2018-11-24 09:35:31	ga_ls7e_ard_3-0-0_093085_2018-11-24_final
2019-06-14 10:03:34	ga_ls7e_ard_3-0-0_099079_2019-06-14_final
2019-08-06 10:20:51	ga_ls7e_ard_3-0-0_102081_2019-08-06_final
2019-10-05 10:40:37	ga_ls7e_ard_3-1-0_106075_2019-10-05_final
2020-03-09 09:18:25	ga_ls7e_ard_3-1-0_094074_2020-03-08_final
2020-03-28 09:47:05	ga_ls7e_ard_3-1-0_099071_2020-03-28_final
2020-03-29 10:35:04	ga_ls7e_ard_3-1-0_106083_2020-03-29_final
2020-06-20 09:23:23	ga_ls7e_ard_3-1-0_095086_2020-06-19_final
2020-11-08 10:16:22	ga_ls7e_ard_3-1-0_106071_2020-11-08_final
2020-11-11 09:08:35	ga_ls7e_ard_3-1-0_095072_2020-11-10_final
2021-04-20 10:34:59	ga_ls7e_ard_3-2-0_111071_2021-04-20_final
2021-05-22 08:59:24	ga_ls7e_ard_3-2-0_095086_2021-05-21_final
2022-02-03 09:17:26	ga_ls7e_ard_3-2-1_102081_2022-02-02_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_final
2022-03-23 09:12:41	ga_ls7e_ard_3-2-1_102081_2022-03-22_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

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