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
2000-04-03 11:09:36	ga_ls7e_ard_3-0-0_110067_2000-04-03_final
2000-04-10 09:36:47	ga_ls7e_ard_3-0-0_095067_2000-04-10_final
2000-05-25 09:10:39	ga_ls7e_ard_3-0-0_090080_2000-05-24_final
2001-08-25 10:41:22	ga_ls7e_ard_3-1-0_105083_2001-08-25_final
2001-09-20 09:32:51	ga_ls7e_ard_3-0-0_095067_2001-09-20_final
2002-04-16 09:33:11	ga_ls7e_ard_3-0-0_095067_2002-04-16_final
2002-11-12 09:27:54	ga_ls7e_ard_3-0-0_093087_2002-11-11_final
2004-07-03 09:27:14	ga_ls7e_ard_3-1-0_094067_2004-07-02_final
2005-01-27 09:27:38	ga_ls7e_ard_3-1-0_094067_2005-01-26_final
2005-06-20 09:27:39	ga_ls7e_ard_3-1-0_094067_2005-06-19_final
2005-12-26 09:05:48	ga_ls7e_ard_3-1-0_089089_2005-12-25_final
2006-03-26 09:34:30	ga_ls7e_ard_3-0-0_095067_2006-03-26_final
2006-08-20 10:08:57	ga_ls7e_ard_3-0-0_100077_2006-08-20_final
2007-04-19 11:32:20	ga_ls7e_ard_3-0-0_114067_2007-04-19_final
2007-07-19 09:34:36	ga_ls7e_ard_3-0-0_095067_2007-07-19_final
2008-01-08 10:43:09	ga_ls7e_ard_3-0-0_106068_2008-01-08_final
2008-01-11 09:34:46	ga_ls7e_ard_3-0-0_095067_2008-01-11_final
2008-03-18 10:09:26	ga_ls7e_ard_3-0-0_100077_2008-03-18_final
2008-04-09 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-04-08_final
2009-02-10 09:59:23	ga_ls7e_ard_3-0-0_099068_2009-02-10_final
2009-04-03 09:34:41	ga_ls7e_ard_3-0-0_095067_2009-04-03_final
2009-05-14 09:28:40	ga_ls7e_ard_3-1-0_094067_2009-05-13_final
2009-08-25 09:34:35	ga_ls7e_ard_3-0-0_095067_2009-08-25_final
2010-02-17 09:36:20	ga_ls7e_ard_3-0-0_095067_2010-02-17_final
2011-10-18 09:37:43	ga_ls7e_ard_3-0-0_095067_2011-10-18_final
2011-10-23 11:40:46	ga_ls7e_ard_3-0-0_114081_2011-10-23_final
2011-11-24 11:35:31	ga_ls7e_ard_3-0-0_114067_2011-11-24_final
2011-12-09 09:22:39	ga_ls7e_ard_3-0-0_091090_2011-12-08_final
2013-01-24 09:40:36	ga_ls7e_ard_3-0-0_095067_2013-01-24_final
2014-05-10 09:55:26	ga_ls7e_ard_3-1-0_096086_2014-05-10_final
2014-06-02 09:54:58	ga_ls7e_ard_3-0-0_097069_2014-06-02_final
2014-08-22 09:04:22	ga_ls7e_ard_3-0-0_088081_2014-08-21_final
2014-10-01 09:48:27	ga_ls7e_ard_3-0-0_096067_2014-10-01_final
2014-12-29 09:42:55	ga_ls7e_ard_3-0-0_095067_2014-12-29_final
2015-06-23 09:46:01	ga_ls7e_ard_3-0-0_095072_2015-06-23_final
2016-10-15 09:47:09	ga_ls7e_ard_3-0-0_095067_2016-10-15_final
2017-07-03 10:06:00	ga_ls7e_ard_3-0-0_098068_2017-07-03_final
2017-11-03 09:47:02	ga_ls7e_ard_3-0-0_095067_2017-11-03_final
2018-03-31 09:24:16	ga_ls7e_ard_3-0-0_091076_2018-03-30_final
2019-01-30 09:58:03	ga_ls7e_ard_3-0-0_098069_2019-01-30_final
2019-02-26 09:37:54	ga_ls7e_ard_3-1-0_095067_2019-02-26_final
2019-08-01 10:03:19	ga_ls7e_ard_3-0-0_099083_2019-08-01_final
2019-11-20 10:52:56	ga_ls7e_ard_3-1-0_108080_2019-11-20_final
2020-02-29 09:22:18	ga_ls7e_ard_3-1-0_095067_2020-02-28_final
2020-10-23 10:22:14	ga_ls7e_ard_3-1-0_106083_2020-10-23_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_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