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
2000-04-28 09:27:33	ga_ls7e_ard_3-0-0_093075_2000-04-27_final
2001-01-03 10:03:30	ga_ls7e_ard_3-0-0_099077_2001-01-03_final
2001-01-08 10:23:42	ga_ls7e_ard_3-0-0_102081_2001-01-08_final
2001-04-17 09:18:35	ga_ls7e_ard_3-0-0_091089_2001-04-16_final
2001-05-02 10:09:23	ga_ls7e_ard_3-0-0_100077_2001-05-02_final
2002-05-03 10:22:06	ga_ls7e_ard_3-0-0_102081_2002-05-03_final
2002-11-12 11:01:36	ga_ls7e_ard_3-0-0_109074_2002-11-12_final
2002-12-25 10:43:55	ga_ls7e_ard_3-1-0_106075_2002-12-25_final
2003-08-31 10:38:09	ga_ls7e_ard_3-0-0_105076_2003-08-31_final
2003-11-10 10:46:04	ga_ls7e_ard_3-0-0_106080_2003-11-10_final
2005-01-02 09:36:09	ga_ls7e_ard_3-1-0_095073_2005-01-02_final
2005-02-02 08:56:36	ga_ls7e_ard_3-0-0_088082_2005-02-01_final
2005-02-14 10:57:08	ga_ls7e_ard_3-0-0_108074_2005-02-14_final
2005-03-19 10:03:13	ga_ls7e_ard_3-0-0_099078_2005-03-19_final
2005-04-13 09:56:31	ga_ls7e_ard_3-0-0_098077_2005-04-13_final
2005-06-14 10:06:21	ga_ls7e_ard_3-0-0_100071_2005-06-14_final
2005-11-06 10:54:21	ga_ls7e_ard_3-0-0_107083_2005-11-06_final
2006-02-03 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-02-02_final
2006-04-01 09:02:11	ga_ls7e_ard_3-0-0_089079_2006-03-31_final
2006-04-26 08:56:21	ga_ls7e_ard_3-0-0_088080_2006-04-25_final
2006-07-02 11:03:37	ga_ls7e_ard_3-0-0_109074_2006-07-02_final
2006-09-14 10:02:40	ga_ls7e_ard_3-0-0_099077_2006-09-14_final
2006-12-03 09:59:14	ga_ls7e_ard_3-0-0_099067_2006-12-03_final
2008-01-27 11:15:14	ga_ls7e_ard_3-0-0_111071_2008-01-27_final
2008-04-16 09:36:55	ga_ls7e_ard_3-1-0_095073_2008-04-16_final
2008-04-23 11:19:35	ga_ls7e_ard_3-0-0_112067_2008-04-23_final
2008-11-19 11:06:19	ga_ls7e_ard_3-0-0_110067_2008-11-19_final
2009-03-30 10:03:22	ga_ls7e_ard_3-0-0_099077_2009-03-30_final
2009-09-22 10:03:16	ga_ls7e_ard_3-0-0_099077_2009-09-22_final
2010-09-12 08:59:01	ga_ls7e_ard_3-0-0_088081_2010-09-11_final
2011-05-28 10:21:40	ga_ls7e_ard_3-0-0_102068_2011-05-28_final
2011-07-26 11:45:06	ga_ls7e_ard_3-0-0_115076_2011-07-26_final
2011-09-28 10:03:10	ga_ls7e_ard_3-0-0_099069_2011-09-28_final
2011-10-20 09:28:34	ga_ls7e_ard_3-0-0_093075_2011-10-19_final
2013-03-09 10:05:40	ga_ls7e_ard_3-0-0_099068_2013-03-09_final
2013-04-26 10:09:02	ga_ls7e_ard_3-0-0_099077_2013-04-26_final
2013-05-17 10:29:08	ga_ls7e_ard_3-0-0_102081_2013-05-17_final
2013-08-08 09:22:53	ga_ls7e_ard_3-0-0_091087_2013-08-07_final
2014-03-02 09:31:59	ga_ls7e_ard_3-0-0_093075_2014-03-02_final
2015-08-14 09:27:30	ga_ls7e_ard_3-0-0_091087_2015-08-13_final
2015-09-11 11:25:59	ga_ls7e_ard_3-0-0_111074_2015-09-11_final
2015-11-11 10:53:26	ga_ls7e_ard_3-0-0_106068_2015-11-11_final
2015-12-19 10:20:32	ga_ls7e_ard_3-0-0_100077_2015-12-19_final
2016-07-14 10:22:15	ga_ls7e_ard_3-0-0_100078_2016-07-14_final
2016-10-01 11:20:28	ga_ls7e_ard_3-0-0_109084_2016-10-01_final
2017-10-26 10:42:05	ga_ls7e_ard_3-0-0_103081_2017-10-26_final
2018-07-06 11:41:08	ga_ls7e_ard_3-0-0_114067_2018-07-06_final
2019-07-06 11:02:33	ga_ls7e_ard_3-0-0_109074_2019-07-06_final
2019-10-20 11:36:48	ga_ls7e_ard_3-1-0_115078_2019-10-20_final
2020-08-16 10:50:58	ga_ls7e_ard_3-1-0_110082_2020-08-16_final
2020-10-19 10:44:25	ga_ls7e_ard_3-1-0_110076_2020-10-19_final
2020-12-16 09:38:56	ga_ls7e_ard_3-1-0_100077_2020-12-16_final
2021-01-23 10:35:38	ga_ls7e_ard_3-2-0_110071_2021-01-23_final
2021-04-25 09:17:01	ga_ls7e_ard_3-2-0_098078_2021-04-24_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_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