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

50 results

Time (local)	Label
2002-10-31 08:59:07	ga_ls7e_ard_3-0-0_089077_2002-10-30_final
2002-11-15 09:55:17	ga_ls7e_ard_3-0-0_098078_2002-11-15_final
2003-01-25 09:58:49	ga_ls7e_ard_3-0-0_099070_2003-01-25_final
2003-10-02 09:04:41	ga_ls7e_ard_3-0-0_089090_2003-10-01_final
2004-01-06 09:05:25	ga_ls7e_ard_3-0-0_089090_2004-01-05_final
2004-02-05 09:12:47	ga_ls7e_ard_3-0-0_091077_2004-02-04_final
2004-02-25 10:24:08	ga_ls7e_ard_3-0-0_103070_2004-02-25_final
2004-07-12 09:29:01	ga_ls7e_ard_3-1-0_093087_2004-07-11_final
2005-06-16 09:56:47	ga_ls7e_ard_3-0-0_098078_2005-06-16_final
2005-11-05 10:09:05	ga_ls7e_ard_3-0-0_100078_2005-11-05_final
2006-04-17 10:36:36	ga_ls7e_ard_3-0-0_105068_2006-04-17_final
2006-06-23 09:34:58	ga_ls7e_ard_3-0-0_094084_2006-06-23_final
2007-03-14 10:20:11	ga_ls7e_ard_3-0-0_102072_2007-03-14_final
2007-04-26 10:00:48	ga_ls7e_ard_3-0-0_099070_2007-04-26_final
2007-09-10 09:57:34	ga_ls7e_ard_3-0-0_098079_2007-09-10_final
2008-05-30 10:03:48	ga_ls7e_ard_3-0-0_099079_2008-05-30_final
2008-10-22 09:08:17	ga_ls7e_ard_3-0-0_090082_2008-10-21_final
2008-12-23 10:55:54	ga_ls7e_ard_3-0-0_108071_2008-12-23_final
2009-03-02 11:15:20	ga_ls7e_ard_3-0-0_111072_2009-03-02_final
2010-01-22 09:05:43	ga_ls7e_ard_3-0-0_089084_2010-01-21_final
2010-04-18 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-18_final
2010-05-16 10:31:09	ga_ls7e_ard_3-0-0_103080_2010-05-16_final
2010-09-16 10:09:12	ga_ls7e_ard_3-0-0_100071_2010-09-16_final
2011-03-27 10:12:53	ga_ls7e_ard_3-0-0_100077_2011-03-27_final
2011-04-09 09:40:49	ga_ls7e_ard_3-0-0_095074_2011-04-09_final
2011-04-12 10:12:55	ga_ls7e_ard_3-0-0_100077_2011-04-12_final
2011-10-14 10:03:11	ga_ls7e_ard_3-0-0_099069_2011-10-14_final
2012-02-20 10:47:44	ga_ls7e_ard_3-0-0_106070_2012-02-20_final
2012-04-02 09:45:53	ga_ls7e_ard_3-0-0_096070_2012-04-02_final
2012-06-10 11:45:58	ga_ls7e_ard_3-0-0_115076_2012-06-10_final
2012-06-25 09:27:32	ga_ls7e_ard_3-0-0_092085_2012-06-24_final
2012-09-24 09:11:38	ga_ls7e_ard_3-0-0_089089_2012-09-23_final
2013-06-15 11:37:18	ga_ls7e_ard_3-0-0_113082_2013-06-15_final
2013-11-23 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-11-23_final
2014-09-21 10:50:31	ga_ls7e_ard_3-0-0_106068_2014-09-21_final
2014-12-08 09:29:27	ga_ls7e_ard_3-0-0_092080_2014-12-07_final
2014-12-16 10:17:00	ga_ls7e_ard_3-0-0_100075_2014-12-16_final
2015-01-26 10:08:32	ga_ls7e_ard_3-0-0_099069_2015-01-26_final
2015-04-18 11:39:16	ga_ls7e_ard_3-0-0_113078_2015-04-18_final
2016-10-12 10:55:56	ga_ls7e_ard_3-0-0_106069_2016-10-12_final
2017-08-29 11:43:27	ga_ls7e_ard_3-1-0_113080_2017-08-29_final
2017-10-30 10:12:58	ga_ls7e_ard_3-0-0_099070_2017-10-30_final
2017-11-30 11:08:51	ga_ls7e_ard_3-0-0_108071_2017-11-30_final
2018-12-11 10:13:09	ga_ls7e_ard_3-0-0_100072_2018-12-11_final
2019-01-11 11:09:03	ga_ls7e_ard_3-0-0_109075_2019-01-11_final
2020-07-30 10:08:23	ga_ls7e_ard_3-1-0_103081_2020-07-30_final
2021-02-19 10:19:53	ga_ls7e_ard_3-2-0_107083_2021-02-19_final
2021-10-27 08:56:53	ga_ls7e_ard_3-2-0_097083_2021-10-26_final
2022-01-23 09:32:16	ga_ls7e_ard_3-2-1_105069_2022-01-23_final
2022-03-02 08:54:37	ga_ls7e_ard_3-2-1_099077_2022-03-01_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