Search ga_ls7e_ard_3 whole collection

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

50 results

Time (local)	Label
1999-12-07 10:12:11	ga_ls7e_ard_3-0-0_100077_1999-12-07_final
2000-01-14 11:13:08	ga_ls7e_ard_3-0-0_110075_2000-01-14_final
2001-02-12 10:52:11	ga_ls7e_ard_3-0-0_107075_2001-02-12_final
2001-09-11 11:18:03	ga_ls7e_ard_3-0-0_112067_2001-09-11_final
2002-05-03 10:22:06	ga_ls7e_ard_3-0-0_102081_2002-05-03_final
2003-01-31 11:02:16	ga_ls7e_ard_3-0-0_109074_2003-01-31_final
2003-02-26 10:01:46	ga_ls7e_ard_3-0-0_099077_2003-02-26_final
2003-03-21 10:07:59	ga_ls7e_ard_3-0-0_100077_2003-03-21_final
2003-10-03 09:45:56	ga_ls7e_ard_3-0-0_096085_2003-10-03_final
2003-11-25 10:02:11	ga_ls7e_ard_3-0-0_099078_2003-11-25_final
2004-01-03 10:05:49	ga_ls7e_ard_3-0-0_100071_2004-01-03_final
2004-03-13 11:09:09	ga_ls7e_ard_3-0-0_110074_2004-03-13_final
2004-08-17 10:38:12	ga_ls7e_ard_3-0-0_105075_2004-08-17_final
2004-10-10 10:02:01	ga_ls7e_ard_3-0-0_099078_2004-10-10_final
2005-02-01 09:47:02	ga_ls7e_ard_3-0-0_097069_2005-02-01_final
2005-03-10 10:09:00	ga_ls7e_ard_3-0-0_100077_2005-03-10_final
2005-05-05 09:19:04	ga_ls7e_ard_3-0-0_092076_2005-05-04_final
2005-08-16 11:03:27	ga_ls7e_ard_3-0-0_109075_2005-08-16_final
2006-09-14 11:41:57	ga_ls7e_ard_3-0-0_115078_2006-09-14_final
2006-11-21 09:34:24	ga_ls7e_ard_3-0-0_095067_2006-11-21_final
2006-11-24 10:09:19	ga_ls7e_ard_3-0-0_100077_2006-11-24_final
2007-04-17 10:09:48	ga_ls7e_ard_3-0-0_100077_2007-04-17_final
2007-05-23 11:19:47	ga_ls7e_ard_3-0-0_112067_2007-05-23_final
2008-06-27 10:29:03	ga_ls7e_ard_3-0-0_103081_2008-06-27_final
2009-01-14 10:22:57	ga_ls7e_ard_3-0-0_102081_2009-01-14_final
2009-04-06 10:07:12	ga_ls7e_ard_3-0-0_100071_2009-04-06_final
2009-04-10 11:19:48	ga_ls7e_ard_3-0-0_112067_2009-04-10_final
2009-05-03 11:32:27	ga_ls7e_ard_3-0-0_113083_2009-05-03_final
2010-04-29 09:49:34	ga_ls7e_ard_3-0-0_096084_2010-04-29_final
2010-05-01 11:15:41	ga_ls7e_ard_3-0-0_110083_2010-05-01_final
2010-07-01 09:04:18	ga_ls7e_ard_3-0-0_089079_2010-06-30_final
2011-11-08 10:03:13	ga_ls7e_ard_3-0-0_098084_2011-11-08_final
2012-05-04 11:24:00	ga_ls7e_ard_3-0-0_112067_2012-05-04_final
2016-01-06 11:43:20	ga_ls7e_ard_3-0-0_114067_2016-01-06_final
2016-01-21 11:06:39	ga_ls7e_ard_3-0-0_107083_2016-01-21_final
2016-02-22 09:29:08	ga_ls7e_ard_3-1-0_091086_2016-02-21_final
2016-04-09 10:19:07	ga_ls7e_ard_3-0-0_100071_2016-04-09_final
2016-07-12 10:36:12	ga_ls7e_ard_3-0-0_102082_2016-07-12_final
2016-09-29 09:47:10	ga_ls7e_ard_3-0-0_095067_2016-09-29_final
2016-11-01 10:35:55	ga_ls7e_ard_3-0-0_102081_2016-11-01_final
2017-02-15 11:08:18	ga_ls7e_ard_3-0-0_108071_2017-02-15_final
2017-02-25 11:43:53	ga_ls7e_ard_3-0-0_114067_2017-02-25_final
2017-11-02 10:48:39	ga_ls7e_ard_3-0-0_104082_2017-11-02_final
2020-04-18 10:08:48	ga_ls7e_ard_3-1-0_102082_2020-04-18_final
2020-04-23 10:24:15	ga_ls7e_ard_3-1-0_105075_2020-04-23_final
2020-05-03 09:18:40	ga_ls7e_ard_3-1-0_095067_2020-05-02_final
2020-06-08 08:59:45	ga_ls7e_ard_3-1-0_091087_2020-06-07_final
2021-07-31 09:53:42	ga_ls7e_ard_3-2-0_105082_2021-07-31_final
2022-01-20 09:07:15	ga_ls7e_ard_3-2-1_100083_2022-01-19_final
2022-01-26 08:28:47	ga_ls7e_ard_3-2-1_094081_2022-01-25_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