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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

53 results

Time (local)	Label
1999-07-10 09:10:17	ga_ls7e_ard_3-0-0_090077_1999-07-09_final
2000-04-06 10:05:33	ga_ls7e_ard_3-0-0_099077_2000-04-06_final
2001-07-25 11:18:43	ga_ls7e_ard_3-0-0_112067_2001-07-25_final
2003-01-08 10:55:51	ga_ls7e_ard_3-0-0_108074_2003-01-08_final
2003-03-15 10:44:19	ga_ls7e_ard_3-1-0_106075_2003-03-15_final
2003-07-27 10:08:11	ga_ls7e_ard_3-0-0_100078_2003-07-27_final
2004-04-16 10:56:42	ga_ls7e_ard_3-0-0_108074_2004-04-16_final
2004-05-02 10:56:43	ga_ls7e_ard_3-0-0_108074_2004-05-02_final
2004-05-04 10:45:09	ga_ls7e_ard_3-0-0_106076_2004-05-04_final
2004-07-17 11:18:26	ga_ls7e_ard_3-0-0_112067_2004-07-17_final
2005-11-24 10:38:57	ga_ls7e_ard_3-0-0_105075_2005-11-24_final
2006-09-19 10:19:35	ga_ls7e_ard_3-0-0_102073_2006-09-19_final
2006-10-27 11:19:09	ga_ls7e_ard_3-0-0_112067_2006-10-27_final
2007-03-25 10:03:39	ga_ls7e_ard_3-0-0_099077_2007-03-25_final
2007-07-16 10:43:47	ga_ls7e_ard_3-0-0_106070_2007-07-16_final
2008-03-28 10:42:56	ga_ls7e_ard_3-0-0_106068_2008-03-28_final
2008-04-04 10:54:42	ga_ls7e_ard_3-0-0_107082_2008-04-04_final
2008-06-26 11:19:06	ga_ls7e_ard_3-0-0_112067_2008-06-26_final
2008-11-14 09:12:25	ga_ls7e_ard_3-0-0_091076_2008-11-13_final
2009-08-26 10:23:26	ga_ls7e_ard_3-1-0_102081_2009-08-26_final
2009-09-23 09:10:50	ga_ls7e_ard_3-1-0_090085_2009-09-22_final
2010-02-03 09:32:12	ga_ls7e_ard_3-0-0_093088_2010-02-03_final
2010-03-03 09:50:49	ga_ls7e_ard_3-0-0_097072_2010-03-03_final
2010-12-26 10:28:57	ga_ls7e_ard_3-0-0_103072_2010-12-26_final
2011-04-27 09:28:27	ga_ls7e_ard_3-0-0_093074_2011-04-26_final
2011-06-17 10:03:19	ga_ls7e_ard_3-0-0_098084_2011-06-17_final
2012-11-17 10:09:29	ga_ls7e_ard_3-0-0_099078_2012-11-17_final
2013-04-01 10:15:21	ga_ls7e_ard_3-0-0_100077_2013-04-01_final
2013-04-11 10:48:49	ga_ls7e_ard_3-0-0_106068_2013-04-11_final
2013-12-01 11:25:47	ga_ls7e_ard_3-0-0_112067_2013-12-01_final
2014-02-13 10:30:03	ga_ls7e_ard_3-0-0_102081_2014-02-13_final
2014-03-09 09:35:02	ga_ls7e_ard_3-1-0_094067_2014-03-09_final
2014-05-05 09:36:03	ga_ls7e_ard_3-0-0_093084_2014-05-05_final
2014-05-26 11:26:50	ga_ls7e_ard_3-0-0_112067_2014-05-26_final
2015-01-27 10:51:25	ga_ls7e_ard_3-0-0_106068_2015-01-27_final
2016-01-09 10:41:22	ga_ls7e_ard_3-0-0_103082_2016-01-09_final
2017-08-27 10:13:20	ga_ls7e_ard_3-0-0_099071_2017-08-27_final
2017-11-15 10:16:31	ga_ls7e_ard_3-0-0_099079_2017-11-15_final
2017-11-16 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-11-16_final
2019-02-02 10:30:04	ga_ls7e_ard_3-0-0_103072_2019-02-02_final
2019-02-11 10:27:13	ga_ls7e_ard_3-0-0_102081_2019-02-11_final
2019-05-04 10:10:52	ga_ls7e_ard_3-0-0_100078_2019-05-04_final
2019-05-14 09:08:17	ga_ls7e_ard_3-0-0_090077_2019-05-13_final
2019-08-03 11:29:45	ga_ls7e_ard_3-0-0_113083_2019-08-03_final
2019-08-07 11:02:04	ga_ls7e_ard_3-0-0_109076_2019-08-07_final
2019-11-20 10:52:56	ga_ls7e_ard_3-1-0_108080_2019-11-20_final
2020-01-29 10:08:22	ga_ls7e_ard_3-1-0_102070_2020-01-29_final
2020-02-09 09:48:52	ga_ls7e_ard_3-1-0_099069_2020-02-09_final
2020-05-03 09:18:40	ga_ls7e_ard_3-1-0_095067_2020-05-02_final
2020-08-28 09:30:27	ga_ls7e_ard_3-1-0_098068_2020-08-28_final
2021-01-30 09:02:50	ga_ls7e_ard_3-2-0_095072_2021-01-29_final
2022-02-18 10:06:20	ga_ls7e_ard_3-2-1_111068_2022-02-18_final
2022-03-12 09:27:31	ga_ls7e_ard_3-2-1_105069_2022-03-11_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

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