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
2001-06-14 09:47:09	ga_ls7e_ard_3-0-0_097069_2001-06-14_final
2001-06-27 10:56:52	ga_ls7e_ard_3-0-0_108074_2001-06-27_final
2003-05-16 10:56:15	ga_ls7e_ard_3-0-0_108074_2003-05-16_final
2004-01-22 10:38:49	ga_ls7e_ard_3-0-0_105076_2004-01-22_final
2004-02-02 10:19:09	ga_ls7e_ard_3-0-0_102073_2004-02-02_final
2004-04-18 09:06:38	ga_ls7e_ard_3-0-0_090077_2004-04-17_final
2004-10-02 10:50:20	ga_ls7e_ard_3-0-0_107075_2004-10-02_final
2004-12-30 09:10:26	ga_ls7e_ard_3-0-0_090086_2004-12-29_final
2004-12-30 10:45:19	ga_ls7e_ard_3-0-0_106076_2004-12-30_final
2005-05-31 09:56:54	ga_ls7e_ard_3-0-0_098078_2005-05-31_final
2005-08-05 11:18:51	ga_ls7e_ard_3-0-0_112067_2005-08-05_final
2006-05-15 11:04:12	ga_ls7e_ard_3-0-0_109075_2006-05-15_final
2006-08-24 11:19:07	ga_ls7e_ard_3-0-0_112067_2006-08-24_final
2007-01-10 11:02:21	ga_ls7e_ard_3-0-0_109070_2007-01-10_final
2007-08-09 09:57:01	ga_ls7e_ard_3-0-0_098077_2007-08-09_final
2007-09-11 09:01:33	ga_ls7e_ard_3-0-0_089078_2007-09-10_final
2008-03-21 10:39:57	ga_ls7e_ard_3-0-0_105076_2008-03-21_final
2008-06-30 09:23:26	ga_ls7e_ard_3-0-0_092087_2008-06-29_final
2008-09-07 11:19:03	ga_ls7e_ard_3-0-0_111084_2008-09-07_final
2008-10-16 11:18:10	ga_ls7e_ard_3-0-0_112067_2008-10-16_final
2008-10-24 10:34:50	ga_ls7e_ard_3-0-0_104082_2008-10-24_final
2008-11-01 11:18:25	ga_ls7e_ard_3-0-0_112067_2008-11-01_final
2008-12-16 10:49:16	ga_ls7e_ard_3-0-0_107070_2008-12-16_final
2008-12-25 10:42:22	ga_ls7e_ard_3-0-0_106068_2008-12-25_final
2009-01-14 10:22:57	ga_ls7e_ard_3-0-0_102081_2009-01-14_final
2009-01-21 10:24:23	ga_ls7e_ard_3-0-0_103069_2009-01-21_final
2009-03-09 11:19:35	ga_ls7e_ard_3-0-0_112067_2009-03-09_final
2010-07-02 09:49:34	ga_ls7e_ard_3-0-0_096084_2010-07-02_final
2011-11-10 11:22:59	ga_ls7e_ard_3-0-0_112067_2011-11-10_final
2012-06-07 11:17:01	ga_ls7e_ard_3-0-0_110081_2012-06-07_final
2013-01-12 10:57:54	ga_ls7e_ard_3-0-0_107075_2013-01-12_final
2013-01-24 09:40:36	ga_ls7e_ard_3-0-0_095067_2013-01-24_final
2013-02-25 11:23:50	ga_ls7e_ard_3-0-0_111078_2013-02-25_final
2013-10-06 09:02:37	ga_ls7e_ard_3-0-0_088081_2013-10-05_final
2014-03-16 09:41:17	ga_ls7e_ard_3-0-0_095067_2014-03-16_final
2015-05-18 10:12:34	ga_ls7e_ard_3-0-0_099077_2015-05-18_final
2015-05-18 10:12:58	ga_ls7e_ard_3-0-0_099078_2015-05-18_final
2015-12-23 11:30:45	ga_ls7e_ard_3-0-0_112067_2015-12-23_final
2016-08-12 09:47:02	ga_ls7e_ard_3-0-0_095067_2016-08-12_final
2016-09-17 09:30:23	ga_ls7e_ard_3-0-0_091087_2016-09-17_final
2017-02-04 09:48:47	ga_ls7e_ard_3-1-0_095073_2017-02-04_final
2017-11-20 10:35:49	ga_ls7e_ard_3-0-0_102081_2017-11-20_final
2018-04-08 10:10:47	ga_ls7e_ard_3-0-0_099069_2018-04-08_final
2020-01-13 10:10:21	ga_ls7e_ard_3-1-0_102073_2020-01-13_final
2020-03-22 10:26:29	ga_ls7e_ard_3-1-0_105076_2020-03-22_final
2021-02-13 09:14:09	ga_ls7e_ard_3-2-0_097072_2021-02-12_final
2021-05-17 10:15:47	ga_ls7e_ard_3-2-0_108075_2021-05-17_final
2021-05-31 08:52:51	ga_ls7e_ard_3-2-0_094087_2021-05-30_final
2021-06-07 10:31:45	ga_ls7e_ard_3-2-0_111073_2021-06-07_final
2021-09-17 09:47:06	ga_ls7e_ard_3-2-0_105076_2021-09-17_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