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

56 results

Time (local)	Label
2000-01-17 10:03:31	ga_ls7e_ard_3-0-0_099071_2000-01-17_final
2000-02-12 10:40:56	ga_ls7e_ard_3-0-0_105072_2000-02-12_final
2000-03-05 10:05:43	ga_ls7e_ard_3-0-0_099077_2000-03-05_final
2000-12-24 11:04:11	ga_ls7e_ard_3-0-0_109074_2000-12-24_final
2001-11-12 09:52:37	ga_ls7e_ard_3-0-0_098070_2001-11-12_final
2003-12-14 10:30:24	ga_ls7e_ard_3-0-0_104071_2003-12-14_final
2004-02-02 10:19:09	ga_ls7e_ard_3-0-0_102073_2004-02-02_final
2004-02-03 11:03:13	ga_ls7e_ard_3-0-0_109075_2004-02-03_final
2004-03-05 10:22:26	ga_ls7e_ard_3-0-0_102081_2004-03-05_final
2004-04-29 10:28:59	ga_ls7e_ard_3-0-0_103082_2004-04-29_final
2004-05-02 10:56:43	ga_ls7e_ard_3-0-0_108074_2004-05-02_final
2004-10-18 10:53:13	ga_ls7e_ard_3-0-0_107082_2004-10-18_final
2004-12-28 09:22:22	ga_ls7e_ard_3-0-0_092085_2004-12-27_final
2005-01-31 09:06:57	ga_ls7e_ard_3-0-0_090077_2005-01-30_final
2005-04-10 11:03:44	ga_ls7e_ard_3-0-0_109075_2005-04-10_final
2006-03-13 10:07:24	ga_ls7e_ard_3-0-0_100072_2006-03-13_final
2007-06-22 09:59:59	ga_ls7e_ard_3-0-0_098084_2007-06-22_final
2008-02-13 10:23:32	ga_ls7e_ard_3-0-0_102081_2008-02-13_final
2008-04-12 10:00:51	ga_ls7e_ard_3-0-0_099071_2008-04-12_final
2008-04-16 11:19:48	ga_ls7e_ard_3-0-0_111083_2008-04-16_final
2008-05-08 10:39:02	ga_ls7e_ard_3-0-0_105074_2008-05-08_final
2008-07-21 09:33:44	ga_ls7e_ard_3-0-0_095067_2008-07-21_final
2009-09-17 11:26:25	ga_ls7e_ard_3-1-0_112084_2009-09-17_final
2009-12-01 11:05:19	ga_ls7e_ard_3-0-0_109076_2009-12-01_final
2010-07-05 10:20:05	ga_ls7e_ard_3-0-0_101083_2010-07-05_final
2010-11-15 10:38:44	ga_ls7e_ard_3-0-0_104082_2010-11-15_final
2011-04-06 10:46:25	ga_ls7e_ard_3-0-0_106068_2011-04-06_final
2011-07-04 10:43:19	ga_ls7e_ard_3-0-0_105076_2011-07-04_final
2011-09-23 11:22:44	ga_ls7e_ard_3-0-0_112067_2011-09-23_final
2011-10-12 10:19:30	ga_ls7e_ard_3-0-0_101079_2011-10-12_final
2011-12-09 09:19:51	ga_ls7e_ard_3-0-0_091083_2011-12-08_final
2012-02-05 09:52:27	ga_ls7e_ard_3-0-0_097071_2012-02-05_final
2013-03-01 09:19:25	ga_ls7e_ard_3-0-0_091076_2013-02-28_final
2013-05-17 10:29:08	ga_ls7e_ard_3-0-0_102081_2013-05-17_final
2014-03-17 10:30:32	ga_ls7e_ard_3-0-0_102082_2014-03-17_final
2014-08-21 11:38:28	ga_ls7e_ard_3-0-0_113080_2014-08-21_final
2015-02-12 09:16:09	ga_ls7e_ard_3-0-0_090077_2015-02-11_final
2016-01-03 09:33:29	ga_ls7e_ard_3-0-0_093067_2016-01-03_final
2016-08-17 10:05:58	ga_ls7e_ard_3-0-0_098068_2016-08-17_final
2016-12-24 10:54:34	ga_ls7e_ard_3-0-0_105082_2016-12-24_final
2017-04-15 09:13:40	ga_ls7e_ard_3-0-0_089077_2017-04-14_final
2017-05-27 09:46:56	ga_ls7e_ard_3-0-0_095067_2017-05-27_final
2017-10-18 11:28:19	ga_ls7e_ard_3-0-0_111073_2017-10-18_final
2018-02-05 11:37:17	ga_ls7e_ard_3-0-0_113067_2018-02-05_final
2019-04-26 10:59:25	ga_ls7e_ard_3-1-0_108075_2019-04-26_final
2019-06-06 09:18:01	ga_ls7e_ard_3-0-0_091088_2019-06-05_final
2019-07-11 11:20:54	ga_ls7e_ard_3-0-0_112074_2019-07-11_final
2019-09-06 09:38:16	ga_ls7e_ard_3-1-0_095086_2019-09-06_final
2020-01-22 10:07:19	ga_ls7e_ard_3-1-0_101082_2020-01-22_final
2020-08-13 10:17:52	ga_ls7e_ard_3-1-0_105076_2020-08-13_final
2020-09-03 10:34:15	ga_ls7e_ard_3-1-0_108074_2020-09-03_final
2020-10-11 09:57:30	ga_ls7e_ard_3-1-0_102081_2020-10-11_final
2021-04-24 10:14:43	ga_ls7e_ard_3-2-0_107083_2021-04-24_final
2021-10-11 08:52:44	ga_ls7e_ard_3-2-0_097069_2021-10-10_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_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