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

55 results

Time (local)	Label
2000-08-21 09:55:34	ga_ls7e_ard_3-0-0_098071_2000-08-21_final
2001-04-09 10:05:59	ga_ls7e_ard_3-0-0_099084_2001-04-09_final
2001-08-21 11:06:31	ga_ls7e_ard_3-0-0_109084_2001-08-21_final
2001-12-06 09:06:24	ga_ls7e_ard_3-0-0_090078_2001-12-05_final
2002-12-28 11:14:50	ga_ls7e_ard_3-0-0_111075_2002-12-28_final
2003-01-19 09:02:35	ga_ls7e_ard_3-0-0_089084_2003-01-18_final
2003-02-27 10:46:14	ga_ls7e_ard_3-0-0_106080_2003-02-27_final
2004-03-18 09:51:13	ga_ls7e_ard_3-0-0_097080_2004-03-18_final
2004-08-08 09:09:06	ga_ls7e_ard_3-0-0_090084_2004-08-07_final
2004-11-04 09:53:26	ga_ls7e_ard_3-0-0_098071_2004-11-04_final
2005-08-30 09:36:01	ga_ls7e_ard_3-1-0_095073_2005-08-30_final
2006-02-11 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-02-11_final
2006-03-15 09:54:39	ga_ls7e_ard_3-0-0_098071_2006-03-15_final
2006-09-26 10:28:54	ga_ls7e_ard_3-0-0_103081_2006-09-26_final
2007-02-08 10:30:49	ga_ls7e_ard_3-0-0_104068_2007-02-08_final
2007-06-07 09:06:22	ga_ls7e_ard_3-0-0_089089_2007-06-06_final
2009-01-19 09:03:02	ga_ls7e_ard_3-0-0_089082_2009-01-18_final
2009-01-31 09:30:12	ga_ls7e_ard_3-1-0_093088_2009-01-31_final
2009-05-17 10:04:21	ga_ls7e_ard_3-0-0_099079_2009-05-17_final
2009-05-25 09:16:31	ga_ls7e_ard_3-0-0_091083_2009-05-24_final
2009-08-19 10:18:03	ga_ls7e_ard_3-0-0_101083_2009-08-19_final
2010-10-05 10:38:52	ga_ls7e_ard_3-0-0_105068_2010-10-05_final
2011-03-03 10:59:29	ga_ls7e_ard_3-0-0_108070_2011-03-03_final
2011-05-14 10:12:53	ga_ls7e_ard_3-0-0_100077_2011-05-14_final
2011-12-17 10:03:45	ga_ls7e_ard_3-0-0_099069_2011-12-17_final
2012-02-22 09:01:16	ga_ls7e_ard_3-0-0_088082_2012-02-21_final
2012-05-25 10:07:18	ga_ls7e_ard_3-0-0_099076_2012-05-25_final
2012-07-26 10:20:46	ga_ls7e_ard_3-0-0_101078_2012-07-26_final
2012-10-22 09:31:03	ga_ls7e_ard_3-0-0_093075_2012-10-22_final
2012-12-17 10:19:59	ga_ls7e_ard_3-0-0_101073_2012-12-17_final
2013-03-18 10:00:15	ga_ls7e_ard_3-0-0_098070_2013-03-18_final
2013-07-01 09:58:41	ga_ls7e_ard_3-0-0_097083_2013-07-01_final
2013-09-03 09:56:40	ga_ls7e_ard_3-0-0_097078_2013-09-03_final
2013-11-12 09:21:51	ga_ls7e_ard_3-0-0_091082_2013-11-11_final
2013-12-04 10:19:25	ga_ls7e_ard_3-0-0_101071_2013-12-04_final
2014-03-06 09:13:18	ga_ls7e_ard_3-0-0_089090_2014-03-05_final
2014-04-14 09:19:45	ga_ls7e_ard_3-0-0_090090_2014-04-13_final
2014-05-15 10:06:27	ga_ls7e_ard_3-0-0_099067_2014-05-15_final
2014-09-04 10:10:46	ga_ls7e_ard_3-0-0_099077_2014-09-04_final
2014-11-24 10:51:29	ga_ls7e_ard_3-0-0_106069_2014-11-24_final
2015-01-28 11:34:18	ga_ls7e_ard_3-0-0_113067_2015-01-28_final
2015-11-23 11:24:19	ga_ls7e_ard_3-0-0_110083_2015-11-23_final
2016-04-03 10:54:57	ga_ls7e_ard_3-0-0_106068_2016-04-03_final
2016-04-12 09:17:09	ga_ls7e_ard_3-0-0_089086_2016-04-11_final
2016-09-24 09:35:23	ga_ls7e_ard_3-0-0_092084_2016-09-24_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2018-12-15 11:28:24	ga_ls7e_ard_3-0-0_112075_2018-12-15_final
2019-02-15 10:01:10	ga_ls7e_ard_3-0-0_098078_2019-02-15_final
2020-07-02 09:39:48	ga_ls7e_ard_3-1-0_099067_2020-07-02_final
2020-09-04 09:39:46	ga_ls7e_ard_3-1-0_099077_2020-09-04_final
2021-02-28 08:36:32	ga_ls7e_ard_3-2-0_090089_2021-02-27_final
2021-05-19 10:06:02	ga_ls7e_ard_3-2-0_106082_2021-05-19_final
2021-05-31 10:23:45	ga_ls7e_ard_3-2-0_110067_2021-05-31_final
2021-12-05 08:57:21	ga_ls7e_ard_3-2-1_098078_2021-12-04_final
2022-01-27 09:11:57	ga_ls7e_ard_3-2-1_101081_2022-01-26_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