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

61 results

Time (local)	Label
2000-10-03 11:16:31	ga_ls7e_ard_3-0-0_111074_2000-10-03_final
2001-03-29 10:23:25	ga_ls7e_ard_3-0-0_102081_2001-03-29_final
2001-06-24 10:28:50	ga_ls7e_ard_3-0-0_103081_2001-06-24_final
2002-10-18 11:07:40	ga_ls7e_ard_3-0-0_110074_2002-10-18_final
2002-12-09 10:41:02	ga_ls7e_ard_3-0-0_106068_2002-12-09_final
2003-01-25 09:58:01	ga_ls7e_ard_3-0-0_099068_2003-01-25_final
2003-02-15 10:17:33	ga_ls7e_ard_3-0-0_102070_2003-02-15_final
2003-04-23 09:17:35	ga_ls7e_ard_3-0-0_091090_2003-04-22_final
2003-05-05 11:14:03	ga_ls7e_ard_3-0-0_111072_2003-05-05_final
2003-08-19 10:15:29	ga_ls7e_ard_3-0-0_101081_2003-08-19_final
2004-02-12 09:23:46	ga_ls7e_ard_3-0-0_092089_2004-02-11_final
2004-04-04 10:29:41	ga_ls7e_ard_3-0-0_104068_2004-04-04_final
2004-06-03 09:22:34	ga_ls7e_ard_3-0-0_092086_2004-06-02_final
2004-07-25 10:34:55	ga_ls7e_ard_3-0-0_104082_2004-07-25_final
2004-11-10 10:54:53	ga_ls7e_ard_3-0-0_108070_2004-11-10_final
2005-02-07 09:17:12	ga_ls7e_ard_3-0-0_091087_2005-02-06_final
2005-07-03 10:39:12	ga_ls7e_ard_3-0-0_105076_2005-07-03_final
2005-11-30 09:59:54	ga_ls7e_ard_3-0-0_099070_2005-11-30_final
2006-04-17 10:39:48	ga_ls7e_ard_3-0-0_105076_2006-04-17_final
2006-10-06 11:03:26	ga_ls7e_ard_3-0-0_109075_2006-10-06_final
2007-01-02 10:14:30	ga_ls7e_ard_3-0-0_101074_2007-01-02_final
2007-04-04 10:42:44	ga_ls7e_ard_3-0-0_105082_2007-04-04_final
2007-05-28 09:59:48	ga_ls7e_ard_3-0-0_099068_2007-05-28_final
2007-08-09 09:57:01	ga_ls7e_ard_3-0-0_098077_2007-08-09_final
2008-06-30 09:22:14	ga_ls7e_ard_3-0-0_092084_2008-06-29_final
2008-07-05 11:15:36	ga_ls7e_ard_3-0-0_111074_2008-07-05_final
2008-08-02 10:02:22	ga_ls7e_ard_3-0-0_099077_2008-08-02_final
2008-10-23 09:50:22	ga_ls7e_ard_3-0-0_097079_2008-10-23_final
2009-01-05 10:25:29	ga_ls7e_ard_3-0-0_103072_2009-01-05_final
2009-04-17 09:48:43	ga_ls7e_ard_3-0-0_097071_2009-04-17_final
2009-05-17 10:04:45	ga_ls7e_ard_3-0-0_099080_2009-05-17_final
2009-06-23 10:23:40	ga_ls7e_ard_3-0-0_102081_2009-06-23_final
2009-08-03 10:17:42	ga_ls7e_ard_3-0-0_101082_2009-08-03_final
2010-07-22 09:25:40	ga_ls7e_ard_3-0-0_092086_2010-07-21_final
2011-12-24 10:13:38	ga_ls7e_ard_3-0-0_100078_2011-12-24_final
2012-09-04 11:09:52	ga_ls7e_ard_3-0-0_109076_2012-09-04_final
2012-09-11 11:14:31	ga_ls7e_ard_3-1-0_110072_2012-09-11_final
2012-10-15 09:29:58	ga_ls7e_ard_3-1-0_092088_2012-10-14_final
2012-10-25 10:05:09	ga_ls7e_ard_3-0-0_098083_2012-10-25_final
2014-06-20 11:27:05	ga_ls7e_ard_3-0-0_111083_2014-06-20_final
2014-09-14 10:44:15	ga_ls7e_ard_3-0-0_105068_2014-09-14_final
2015-02-07 10:38:08	ga_ls7e_ard_3-0-0_103081_2015-02-07_final
2015-07-07 09:57:16	ga_ls7e_ard_3-0-0_097069_2015-07-07_final
2015-08-13 10:19:08	ga_ls7e_ard_3-0-0_100077_2015-08-13_final
2015-08-22 10:13:22	ga_ls7e_ard_3-0-0_099078_2015-08-22_final
2016-04-09 10:21:54	ga_ls7e_ard_3-0-0_100078_2016-04-09_final
2017-08-27 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-27_final
2018-05-16 11:13:56	ga_ls7e_ard_3-0-0_109074_2018-05-16_final
2019-06-05 10:09:17	ga_ls7e_ard_3-0-0_100077_2019-06-05_final
2019-09-28 08:59:50	ga_ls7e_ard_3-1-0_089085_2019-09-27_final
2019-11-09 11:08:48	ga_ls7e_ard_3-1-0_111072_2019-11-09_final
2019-12-04 11:02:14	ga_ls7e_ard_3-1-0_110074_2019-12-04_final
2019-12-30 10:02:42	ga_ls7e_ard_3-1-0_100083_2019-12-30_final
2020-02-08 09:08:03	ga_ls7e_ard_3-1-0_092075_2020-02-07_final
2020-03-28 09:46:41	ga_ls7e_ard_3-1-0_099070_2020-03-28_final
2020-05-12 10:53:36	ga_ls7e_ard_3-1-0_110074_2020-05-12_final
2020-10-18 09:58:02	ga_ls7e_ard_3-1-0_103068_2020-10-18_final
2021-06-08 09:39:14	ga_ls7e_ard_3-2-0_102081_2021-06-08_final
2021-06-25 10:18:42	ga_ls7e_ard_3-2-0_109075_2021-06-25_final
2021-08-12 10:14:34	ga_ls7e_ard_3-2-0_109075_2021-08-12_final
2021-11-20 09:40:49	ga_ls7e_ard_3-2-1_105075_2021-11-20_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