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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

51 results

Time (local)	Label
2000-02-20 09:50:37	ga_ls7e_ard_3-0-0_097070_2000-02-20_final
2000-05-11 08:58:51	ga_ls7e_ard_3-0-0_088081_2000-05-10_final
2000-07-16 10:24:43	ga_ls7e_ard_3-0-0_102081_2000-07-16_final
2001-01-19 10:00:01	ga_ls7e_ard_3-0-0_099068_2001-01-19_final
2001-08-30 09:22:57	ga_ls7e_ard_3-0-0_092088_2001-08-29_final
2004-02-20 10:06:01	ga_ls7e_ard_3-0-0_100071_2004-02-20_final
2004-07-17 11:21:14	ga_ls7e_ard_3-0-0_112074_2004-07-17_final
2004-07-29 10:08:34	ga_ls7e_ard_3-0-0_100078_2004-07-29_final
2004-12-28 10:55:16	ga_ls7e_ard_3-0-0_108070_2004-12-28_final
2005-05-31 09:57:18	ga_ls7e_ard_3-0-0_098079_2005-05-31_final
2005-09-03 09:16:51	ga_ls7e_ard_3-0-0_091087_2005-09-02_final
2006-01-16 09:19:45	ga_ls7e_ard_3-0-0_092077_2006-01-15_final
2006-06-10 10:03:08	ga_ls7e_ard_3-0-0_099077_2006-06-10_final
2006-10-16 10:03:00	ga_ls7e_ard_3-0-0_099078_2006-10-16_final
2007-05-19 10:10:02	ga_ls7e_ard_3-0-0_100078_2007-05-19_final
2007-06-10 09:36:28	ga_ls7e_ard_3-0-0_094087_2007-06-10_final
2007-10-11 10:54:17	ga_ls7e_ard_3-0-0_107082_2007-10-11_final
2007-12-07 09:08:10	ga_ls7e_ard_3-0-0_090078_2007-12-06_final
2008-06-01 11:28:19	ga_ls7e_ard_3-0-0_113074_2008-06-01_final
2008-06-13 10:17:38	ga_ls7e_ard_3-0-0_101083_2008-06-13_final
2008-08-19 09:11:49	ga_ls7e_ard_3-0-0_090090_2008-08-18_final
2009-01-01 09:18:30	ga_ls7e_ard_3-0-0_091090_2008-12-31_final
2010-04-07 10:21:05	ga_ls7e_ard_3-0-0_102070_2010-04-07_final
2010-10-17 11:05:20	ga_ls7e_ard_3-0-0_109072_2010-10-17_final
2010-11-22 09:08:55	ga_ls7e_ard_3-0-0_089089_2010-11-21_final
2010-11-28 10:06:00	ga_ls7e_ard_3-0-0_099077_2010-11-28_final
2010-12-19 10:22:19	ga_ls7e_ard_3-0-0_102071_2010-12-19_final
2011-02-20 09:40:16	ga_ls7e_ard_3-1-0_095073_2011-02-20_final
2011-02-27 11:25:47	ga_ls7e_ard_3-0-0_112074_2011-02-27_final
2012-01-09 10:12:56	ga_ls7e_ard_3-0-0_100076_2012-01-09_final
2012-05-02 09:57:49	ga_ls7e_ard_3-0-0_098068_2012-05-02_final
2012-07-23 09:52:38	ga_ls7e_ard_3-0-0_096085_2012-07-23_final
2013-07-15 10:08:54	ga_ls7e_ard_3-0-0_099078_2013-07-15_final
2013-07-18 10:36:36	ga_ls7e_ard_3-1-0_104070_2013-07-18_final
2014-03-21 10:06:15	ga_ls7e_ard_3-0-0_098083_2014-03-21_final
2015-04-03 10:45:07	ga_ls7e_ard_3-0-0_104082_2015-04-03_final
2015-05-18 10:12:34	ga_ls7e_ard_3-0-0_099077_2015-05-18_final
2016-01-13 10:11:56	ga_ls7e_ard_3-0-0_099070_2016-01-13_final
2016-02-21 10:21:10	ga_ls7e_ard_3-0-0_100077_2016-02-21_final
2016-08-23 09:35:18	ga_ls7e_ard_3-0-0_092084_2016-08-23_final
2017-03-13 10:11:54	ga_ls7e_ard_3-0-0_098084_2017-03-13_final
2017-03-29 10:06:23	ga_ls7e_ard_3-0-0_098070_2017-03-29_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-11-21 09:53:41	ga_ls7e_ard_3-1-0_099071_2019-11-21_final
2020-01-08 09:54:27	ga_ls7e_ard_3-1-0_099079_2020-01-08_final
2020-03-27 09:07:28	ga_ls7e_ard_3-1-0_092080_2020-03-26_final
2021-04-17 10:09:08	ga_ls7e_ard_3-2-0_106083_2021-04-17_final
2021-04-25 09:17:01	ga_ls7e_ard_3-2-0_098078_2021-04-24_final
2021-06-12 09:15:47	ga_ls7e_ard_3-2-0_098085_2021-06-11_final
2021-12-16 10:14:39	ga_ls7e_ard_3-2-1_111073_2021-12-16_final
2021-12-18 08:28:00	ga_ls7e_ard_3-2-1_093085_2021-12-17_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