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

47 results

Time (local)	Label
2000-01-20 10:33:36	ga_ls7e_ard_3-0-0_104069_2000-01-20_final
2000-04-13 10:09:37	ga_ls7e_ard_3-0-0_100072_2000-04-13_final
2000-10-28 11:13:02	ga_ls7e_ard_3-0-0_110081_2000-10-28_final
2002-05-29 09:17:40	ga_ls7e_ard_3-0-0_092075_2002-05-28_final
2002-10-22 10:42:11	ga_ls7e_ard_3-0-0_106072_2002-10-22_final
2003-12-04 11:34:54	ga_ls7e_ard_3-0-0_114078_2003-12-04_final
2003-12-05 10:35:18	ga_ls7e_ard_3-0-0_105068_2003-12-05_final
2003-12-07 10:25:45	ga_ls7e_ard_3-0-0_103075_2003-12-07_final
2003-12-28 09:07:11	ga_ls7e_ard_3-0-0_090079_2003-12-27_final
2004-02-07 09:04:01	ga_ls7e_ard_3-0-0_089086_2004-02-06_final
2004-05-03 10:05:05	ga_ls7e_ard_3-0-0_099084_2004-05-03_final
2004-05-18 10:56:44	ga_ls7e_ard_3-0-0_108074_2004-05-18_final
2004-06-10 11:02:47	ga_ls7e_ard_3-0-0_109074_2004-06-10_final
2005-04-01 11:10:45	ga_ls7e_ard_3-0-0_110077_2005-04-01_final
2006-03-15 09:59:50	ga_ls7e_ard_3-0-0_098084_2006-03-15_final
2006-05-06 11:08:22	ga_ls7e_ard_3-0-0_110070_2006-05-06_final
2006-09-01 08:56:45	ga_ls7e_ard_3-0-0_088082_2006-08-31_final
2006-11-26 11:31:53	ga_ls7e_ard_3-0-0_114067_2006-11-26_final
2007-02-08 10:30:49	ga_ls7e_ard_3-0-0_104068_2007-02-08_final
2007-03-04 09:43:53	ga_ls7e_ard_3-0-0_096074_2007-03-04_final
2007-05-28 10:03:23	ga_ls7e_ard_3-0-0_099077_2007-05-28_final
2007-09-08 10:09:33	ga_ls7e_ard_3-0-0_100078_2007-09-08_final
2008-11-19 09:31:49	ga_ls7e_ard_3-0-0_094078_2008-11-19_final
2009-05-16 09:23:53	ga_ls7e_ard_3-0-0_092086_2009-05-15_final
2009-07-13 09:57:40	ga_ls7e_ard_3-0-0_098078_2009-07-13_final
2009-07-20 09:59:26	ga_ls7e_ard_3-0-0_099067_2009-07-20_final
2009-11-25 10:03:51	ga_ls7e_ard_3-0-0_099077_2009-11-25_final
2010-05-17 09:34:43	ga_ls7e_ard_3-0-0_094078_2010-05-17_final
2010-10-22 09:45:26	ga_ls7e_ard_3-0-0_096073_2010-10-22_final
2011-12-01 10:09:38	ga_ls7e_ard_3-0-0_099084_2011-12-01_final
2012-11-07 11:09:58	ga_ls7e_ard_3-0-0_109075_2012-11-07_final
2013-03-15 11:12:15	ga_ls7e_ard_3-0-0_109080_2013-03-15_final
2013-03-22 11:18:47	ga_ls7e_ard_3-0-0_110081_2013-03-22_final
2015-12-11 09:35:45	ga_ls7e_ard_3-0-0_092089_2015-12-11_final
2016-07-12 10:30:37	ga_ls7e_ard_3-0-0_102068_2016-07-12_final
2016-08-12 11:28:42	ga_ls7e_ard_3-0-0_111074_2016-08-12_final
2017-02-20 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-20_final
2017-04-28 10:21:43	ga_ls7e_ard_3-0-0_100077_2017-04-28_final
2017-09-05 10:11:57	ga_ls7e_ard_3-0-0_098083_2017-09-05_final
2018-01-03 09:19:38	ga_ls7e_ard_3-0-0_090077_2018-01-02_final
2018-01-15 11:21:52	ga_ls7e_ard_3-0-0_110074_2018-01-15_final
2018-05-04 09:11:43	ga_ls7e_ard_3-0-0_089077_2018-05-03_final
2019-01-18 09:38:55	ga_ls7e_ard_3-0-0_094082_2019-01-18_final
2019-10-23 10:24:42	ga_ls7e_ard_3-1-0_104068_2019-10-23_final
2020-07-19 10:22:49	ga_ls7e_ard_3-1-0_106069_2020-07-19_final
2021-11-13 09:32:32	ga_ls7e_ard_3-2-1_104068_2021-11-13_final
2022-01-23 09:35:28	ga_ls7e_ard_3-2-1_105077_2022-01-23_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