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

46 results

Time (local)	Label
1999-09-27 10:06:07	ga_ls7e_ard_3-0-0_099077_1999-09-27_final
2000-03-28 10:11:51	ga_ls7e_ard_3-0-0_100077_2000-03-28_final
2000-04-22 10:03:49	ga_ls7e_ard_3-0-0_099073_2000-04-22_final
2000-07-07 10:31:01	ga_ls7e_ard_3-0-0_103081_2000-07-07_final
2001-06-12 11:42:01	ga_ls7e_ard_3-0-0_115078_2001-06-12_final
2001-10-18 11:41:05	ga_ls7e_ard_3-0-0_115079_2001-10-18_final
2002-06-15 10:02:02	ga_ls7e_ard_3-0-0_099078_2002-06-15_final
2003-08-07 11:26:50	ga_ls7e_ard_3-0-0_113074_2003-08-07_final
2004-03-13 11:07:33	ga_ls7e_ard_3-0-0_110070_2004-03-13_final
2004-03-19 08:55:36	ga_ls7e_ard_3-0-0_088080_2004-03-18_final
2004-04-19 11:27:34	ga_ls7e_ard_3-0-0_113074_2004-04-19_final
2004-10-01 10:07:52	ga_ls7e_ard_3-0-0_100077_2004-10-01_final
2005-03-22 08:56:26	ga_ls7e_ard_3-0-0_088081_2005-03-21_final
2005-03-25 11:04:12	ga_ls7e_ard_3-0-0_109076_2005-03-25_final
2005-12-26 10:38:42	ga_ls7e_ard_3-0-0_105074_2005-12-26_final
2006-01-02 09:07:15	ga_ls7e_ard_3-0-0_090077_2006-01-01_final
2008-01-09 11:28:48	ga_ls7e_ard_3-0-0_113074_2008-01-09_final
2008-01-18 09:42:32	ga_ls7e_ard_3-0-0_096071_2008-01-18_final
2009-07-20 10:04:13	ga_ls7e_ard_3-0-0_099079_2009-07-20_final
2009-08-05 10:00:32	ga_ls7e_ard_3-0-0_099070_2009-08-05_final
2009-10-06 10:13:11	ga_ls7e_ard_3-0-0_101071_2009-10-06_final
2010-03-26 10:01:55	ga_ls7e_ard_3-0-0_098084_2010-03-26_final
2010-12-11 09:34:01	ga_ls7e_ard_3-0-0_094074_2010-12-11_final
2011-01-07 10:53:00	ga_ls7e_ard_3-0-0_107070_2011-01-07_final
2011-02-20 09:45:51	ga_ls7e_ard_3-0-0_095087_2011-02-20_final
2011-11-08 11:40:30	ga_ls7e_ard_3-0-0_114080_2011-11-08_final
2012-02-24 10:27:23	ga_ls7e_ard_3-0-0_102081_2012-02-24_final
2013-05-23 09:53:13	ga_ls7e_ard_3-0-0_096084_2013-05-23_final
2013-07-15 10:08:30	ga_ls7e_ard_3-0-0_099077_2013-07-15_final
2014-03-16 11:26:57	ga_ls7e_ard_3-0-0_111084_2014-03-16_final
2014-09-30 09:09:57	ga_ls7e_ard_3-0-0_089079_2014-09-29_final
2014-11-24 10:51:53	ga_ls7e_ard_3-0-0_106070_2014-11-24_final
2015-06-03 10:12:39	ga_ls7e_ard_3-0-0_099077_2015-06-03_final
2016-02-16 09:59:50	ga_ls7e_ard_3-0-0_097070_2016-02-16_final
2016-04-22 09:49:07	ga_ls7e_ard_3-1-0_095073_2016-04-22_final
2016-11-11 09:33:14	ga_ls7e_ard_3-0-0_092079_2016-11-11_final
2017-01-23 11:07:00	ga_ls7e_ard_3-0-0_107083_2017-01-23_final
2017-03-13 10:06:18	ga_ls7e_ard_3-0-0_098070_2017-03-13_final
2018-06-20 10:08:57	ga_ls7e_ard_3-0-0_098083_2018-06-20_final
2018-08-12 10:26:06	ga_ls7e_ard_3-0-0_101082_2018-08-12_final
2018-11-12 09:08:42	ga_ls7e_ard_3-0-0_089079_2018-11-11_final
2019-02-21 11:01:36	ga_ls7e_ard_3-1-0_108075_2019-02-21_final
2020-06-29 10:54:44	ga_ls7e_ard_3-1-0_110084_2020-06-29_final
2021-04-16 09:20:46	ga_ls7e_ard_3-2-0_099070_2021-04-15_final
2021-11-29 09:36:35	ga_ls7e_ard_3-2-1_104082_2021-11-29_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_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