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

43 results

Time (local)	Label
2000-02-24 11:07:32	ga_ls7e_ard_3-0-0_109077_2000-02-24_final
2001-03-24 10:00:31	ga_ls7e_ard_3-0-0_099070_2001-03-24_final
2002-01-14 10:50:32	ga_ls7e_ard_3-0-0_107075_2002-01-14_final
2002-11-01 11:20:05	ga_ls7e_ard_3-0-0_112074_2002-11-01_final
2002-12-07 10:55:48	ga_ls7e_ard_3-1-0_108074_2002-12-07_final
2004-07-12 09:27:49	ga_ls7e_ard_3-0-0_093084_2004-07-11_final
2004-08-27 11:14:27	ga_ls7e_ard_3-0-0_111073_2004-08-27_final
2005-03-20 10:45:17	ga_ls7e_ard_3-1-0_106075_2005-03-20_final
2005-05-14 10:51:23	ga_ls7e_ard_3-0-0_107075_2005-05-14_final
2005-09-05 10:38:34	ga_ls7e_ard_3-0-0_105075_2005-09-05_final
2006-01-09 09:13:54	ga_ls7e_ard_3-0-0_091078_2006-01-08_final
2006-05-19 10:39:52	ga_ls7e_ard_3-0-0_105076_2006-05-19_final
2007-03-28 10:36:33	ga_ls7e_ard_3-0-0_104082_2007-03-28_final
2007-05-23 11:19:47	ga_ls7e_ard_3-0-0_112067_2007-05-23_final
2008-11-17 11:18:39	ga_ls7e_ard_3-0-0_112067_2008-11-17_final
2009-04-17 09:48:43	ga_ls7e_ard_3-0-0_097071_2009-04-17_final
2009-05-28 11:19:55	ga_ls7e_ard_3-0-0_112067_2009-05-28_final
2011-02-13 11:12:56	ga_ls7e_ard_3-0-0_110073_2011-02-13_final
2011-03-16 10:29:24	ga_ls7e_ard_3-0-0_103072_2011-03-16_final
2011-04-06 10:46:25	ga_ls7e_ard_3-0-0_106068_2011-04-06_final
2013-02-14 10:00:21	ga_ls7e_ard_3-0-0_098070_2013-02-14_final
2013-02-14 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-02-14_final
2013-06-29 10:09:04	ga_ls7e_ard_3-0-0_099078_2013-06-29_final
2014-09-15 11:27:08	ga_ls7e_ard_3-0-0_112067_2014-09-15_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2015-03-11 10:33:08	ga_ls7e_ard_3-0-0_103068_2015-03-11_final
2015-11-14 09:47:30	ga_ls7e_ard_3-1-0_095073_2015-11-14_final
2016-01-25 10:37:35	ga_ls7e_ard_3-0-0_103072_2016-01-25_final
2016-02-21 10:21:10	ga_ls7e_ard_3-0-0_100077_2016-02-21_final
2016-07-28 10:35:52	ga_ls7e_ard_3-0-0_102081_2016-07-28_final
2018-03-24 10:54:16	ga_ls7e_ard_3-0-0_106069_2018-03-24_final
2018-05-20 10:49:57	ga_ls7e_ard_3-0-0_105076_2018-05-20_final
2019-07-01 10:44:36	ga_ls7e_ard_3-1-0_106075_2019-07-01_final
2019-07-06 11:02:33	ga_ls7e_ard_3-0-0_109074_2019-07-06_final
2020-04-25 10:14:10	ga_ls7e_ard_3-1-0_103081_2020-04-25_final
2020-07-28 10:18:05	ga_ls7e_ard_3-1-0_105074_2020-07-28_final
2020-08-29 10:16:02	ga_ls7e_ard_3-1-0_105074_2020-08-29_final
2020-11-11 09:08:59	ga_ls7e_ard_3-1-0_095073_2020-11-10_final
2021-01-14 09:01:59	ga_ls7e_ard_3-1-0_095067_2021-01-13_final
2021-06-12 09:15:47	ga_ls7e_ard_3-2-0_098085_2021-06-11_final
2021-08-14 08:27:56	ga_ls7e_ard_3-2-0_091087_2021-08-13_final
2022-01-27 09:12:45	ga_ls7e_ard_3-2-1_101083_2022-01-26_final
2022-02-21 09:02:03	ga_ls7e_ard_3-2-1_100078_2022-02-20_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