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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

43 results

Time (local)	Label
2000-03-05 10:05:43	ga_ls7e_ard_3-0-0_099077_2000-03-05_final
2000-04-11 10:21:36	ga_ls7e_ard_3-0-0_102071_2000-04-11_final
2000-04-19 11:11:22	ga_ls7e_ard_3-1-0_110072_2000-04-19_final
2000-10-05 11:04:09	ga_ls7e_ard_3-0-0_109074_2000-10-05_final
2002-05-05 10:08:09	ga_ls7e_ard_3-0-0_100077_2002-05-05_final
2003-02-10 09:58:59	ga_ls7e_ard_3-0-0_099070_2003-02-10_final
2004-07-28 11:03:00	ga_ls7e_ard_3-0-0_109075_2004-07-28_final
2005-02-27 10:29:06	ga_ls7e_ard_3-0-0_103081_2005-02-27_final
2005-10-03 11:02:47	ga_ls7e_ard_3-0-0_109074_2005-10-03_final
2005-11-05 10:08:41	ga_ls7e_ard_3-0-0_100077_2005-11-05_final
2008-03-01 11:03:55	ga_ls7e_ard_3-0-0_109074_2008-03-01_final
2008-05-05 10:09:21	ga_ls7e_ard_3-0-0_100077_2008-05-05_final
2008-09-07 11:15:04	ga_ls7e_ard_3-0-0_111074_2008-09-07_final
2009-09-13 10:09:28	ga_ls7e_ard_3-0-0_100077_2009-09-13_final
2009-12-27 10:01:32	ga_ls7e_ard_3-0-0_099070_2009-12-27_final
2010-04-14 10:31:39	ga_ls7e_ard_3-0-0_103081_2010-04-14_final
2010-10-07 10:31:43	ga_ls7e_ard_3-0-0_103081_2010-10-07_final
2011-05-14 10:13:40	ga_ls7e_ard_3-0-0_100079_2011-05-14_final
2011-07-15 10:21:35	ga_ls7e_ard_3-0-0_102068_2011-07-15_final
2011-07-28 11:31:56	ga_ls7e_ard_3-0-0_113074_2011-07-28_final
2012-02-12 10:03:51	ga_ls7e_ard_3-0-0_098084_2012-02-12_final
2014-10-22 10:08:48	ga_ls7e_ard_3-0-0_099071_2014-10-22_final
2014-12-08 09:29:27	ga_ls7e_ard_3-0-0_092080_2014-12-07_final
2014-12-20 09:56:42	ga_ls7e_ard_3-1-0_096086_2014-12-20_final
2016-03-28 09:59:56	ga_ls7e_ard_3-0-0_096085_2016-03-28_final
2016-06-21 10:12:53	ga_ls7e_ard_3-0-0_099070_2016-06-21_final
2016-08-09 10:55:25	ga_ls7e_ard_3-0-0_106068_2016-08-09_final
2016-09-17 09:30:23	ga_ls7e_ard_3-0-0_091087_2016-09-17_final
2017-09-14 11:41:02	ga_ls7e_ard_3-0-0_113074_2017-09-14_final
2017-10-09 11:34:53	ga_ls7e_ard_3-1-0_112074_2017-10-09_final
2017-12-06 10:30:31	ga_ls7e_ard_3-0-0_102068_2017-12-06_final
2018-01-16 10:29:26	ga_ls7e_ard_3-0-0_101082_2018-01-16_final
2018-07-26 11:18:51	ga_ls7e_ard_3-0-0_110074_2018-07-26_final
2018-08-18 11:24:36	ga_ls7e_ard_3-0-0_111074_2018-08-18_final
2018-09-08 10:07:49	ga_ls7e_ard_3-0-0_098084_2018-09-08_final
2018-10-07 11:11:07	ga_ls7e_ard_3-0-0_109074_2018-10-07_final
2019-05-26 11:09:50	ga_ls7e_ard_3-0-0_110073_2019-05-26_final
2020-01-29 10:12:45	ga_ls7e_ard_3-1-0_102081_2020-01-29_final
2020-08-15 10:07:23	ga_ls7e_ard_3-1-0_103081_2020-08-15_final
2020-10-18 09:58:02	ga_ls7e_ard_3-1-0_103068_2020-10-18_final
2020-10-25 10:09:21	ga_ls7e_ard_3-1-0_104082_2020-10-25_final
2021-03-31 09:25:18	ga_ls7e_ard_3-2-0_099078_2021-03-30_final
2022-03-09 09:00:30	ga_ls7e_ard_3-2-1_100078_2022-03-08_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