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

58 results

Time (local)	Label
2000-11-16 10:01:04	ga_ls7e_ard_3-0-0_099071_2000-11-16_final
2000-12-24 11:04:11	ga_ls7e_ard_3-0-0_109074_2000-12-24_final
2001-09-06 11:02:19	ga_ls7e_ard_3-0-0_109074_2001-09-06_final
2002-08-03 09:06:54	ga_ls7e_ard_3-0-0_090080_2002-08-02_final
2002-08-18 10:01:40	ga_ls7e_ard_3-0-0_099078_2002-08-18_final
2002-09-10 10:07:15	ga_ls7e_ard_3-0-0_100077_2002-09-10_final
2003-05-17 10:03:49	ga_ls7e_ard_3-0-0_099082_2003-05-17_final
2003-10-25 10:43:56	ga_ls7e_ard_3-1-0_106075_2003-10-25_final
2004-05-19 10:03:06	ga_ls7e_ard_3-0-0_099079_2004-05-19_final
2004-10-27 10:41:35	ga_ls7e_ard_3-0-0_106068_2004-10-27_final
2005-03-03 10:00:01	ga_ls7e_ard_3-0-0_099070_2005-03-03_final
2005-04-04 10:00:22	ga_ls7e_ard_3-0-0_099071_2005-04-04_final
2006-02-27 09:53:02	ga_ls7e_ard_3-0-0_098067_2006-02-27_final
2006-06-28 09:51:05	ga_ls7e_ard_3-0-0_097078_2006-06-28_final
2006-07-13 10:43:24	ga_ls7e_ard_3-0-0_106070_2006-07-13_final
2007-05-12 10:03:54	ga_ls7e_ard_3-0-0_099078_2007-05-12_final
2007-05-19 10:10:02	ga_ls7e_ard_3-0-0_100078_2007-05-19_final
2007-06-11 10:17:44	ga_ls7e_ard_3-0-0_101082_2007-06-11_final
2007-10-15 10:29:13	ga_ls7e_ard_3-0-0_103081_2007-10-15_final
2008-10-17 10:22:57	ga_ls7e_ard_3-0-0_103068_2008-10-17_final
2008-10-21 10:01:53	ga_ls7e_ard_3-0-0_099077_2008-10-21_final
2009-04-30 09:24:39	ga_ls7e_ard_3-0-0_092088_2009-04-29_final
2009-06-02 10:03:58	ga_ls7e_ard_3-0-0_099078_2009-06-02_final
2009-06-25 10:12:30	ga_ls7e_ard_3-0-0_100084_2009-06-25_final
2009-07-14 09:06:50	ga_ls7e_ard_3-0-0_089090_2009-07-13_final
2009-08-13 09:17:50	ga_ls7e_ard_3-0-0_091087_2009-08-12_final
2009-12-11 10:00:50	ga_ls7e_ard_3-0-0_099069_2009-12-11_final
2010-04-23 10:25:28	ga_ls7e_ard_3-0-0_102081_2010-04-23_final
2010-05-11 10:11:26	ga_ls7e_ard_3-0-0_100077_2010-05-11_final
2010-10-19 09:20:05	ga_ls7e_ard_3-0-0_091087_2010-10-18_final
2010-11-21 09:59:44	ga_ls7e_ard_3-0-0_098077_2010-11-21_final
2011-05-01 10:43:25	ga_ls7e_ard_3-0-0_105076_2011-05-01_final
2011-06-05 11:16:42	ga_ls7e_ard_3-0-0_110082_2011-06-05_final
2011-07-07 11:17:01	ga_ls7e_ard_3-0-0_110083_2011-07-07_final
2012-06-26 10:07:36	ga_ls7e_ard_3-0-0_099077_2012-06-26_final
2013-01-12 10:55:55	ga_ls7e_ard_3-0-0_107070_2013-01-12_final
2013-01-25 10:29:27	ga_ls7e_ard_3-0-0_102081_2013-01-25_final
2014-05-29 10:20:28	ga_ls7e_ard_3-0-0_101071_2014-05-29_final
2016-07-23 10:12:55	ga_ls7e_ard_3-0-0_099070_2016-07-23_final
2017-05-02 11:34:43	ga_ls7e_ard_3-0-0_112074_2017-05-02_final
2017-08-24 11:22:55	ga_ls7e_ard_3-0-0_110075_2017-08-24_final
2017-11-21 11:16:41	ga_ls7e_ard_3-0-0_109075_2017-11-21_final
2018-03-04 11:20:27	ga_ls7e_ard_3-1-0_110072_2018-03-04_final
2018-03-28 10:34:41	ga_ls7e_ard_3-0-0_102082_2018-03-28_final
2018-08-18 11:24:36	ga_ls7e_ard_3-0-0_111074_2018-08-18_final
2018-12-25 10:28:42	ga_ls7e_ard_3-0-0_102081_2018-12-25_final
2019-04-05 09:06:21	ga_ls7e_ard_3-0-0_089084_2019-04-04_final
2019-08-30 11:06:29	ga_ls7e_ard_3-1-0_110074_2019-08-30_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-09-11 09:45:29	ga_ls7e_ard_3-1-0_100077_2020-09-11_final
2020-10-01 09:22:15	ga_ls7e_ard_3-1-0_096084_2020-09-30_final
2020-12-18 11:05:42	ga_ls7e_ard_3-1-0_114078_2020-12-18_final
2020-12-19 10:11:36	ga_ls7e_ard_3-1-0_105082_2020-12-19_final
2020-12-24 08:48:54	ga_ls7e_ard_3-1-0_092077_2020-12-23_final
2021-03-23 08:40:54	ga_ls7e_ard_3-2-0_091089_2021-03-22_final
2021-10-22 10:18:04	ga_ls7e_ard_3-2-0_110084_2021-10-22_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_final
2022-03-01 09:49:32	ga_ls7e_ard_3-2-1_108075_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