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
1999-08-09 11:00:51	ga_ls7e_ard_3-1-0_108075_1999-08-09_final
1999-08-13 10:38:54	ga_ls7e_ard_3-0-0_104082_1999-08-13_final
1999-12-20 11:18:37	ga_ls7e_ard_3-0-0_111073_1999-12-20_final
2000-01-11 10:41:51	ga_ls7e_ard_3-0-0_105074_2000-01-11_final
2000-05-21 09:30:16	ga_ls7e_ard_3-1-0_094067_2000-05-21_final
2000-12-24 11:04:11	ga_ls7e_ard_3-0-0_109074_2000-12-24_final
2001-06-05 09:57:00	ga_ls7e_ard_3-0-0_098078_2001-06-05_final
2001-09-08 10:50:45	ga_ls7e_ard_3-0-0_107076_2001-09-08_final
2001-09-24 10:50:37	ga_ls7e_ard_3-0-0_107076_2001-09-24_final
2001-10-08 11:01:59	ga_ls7e_ard_3-0-0_109074_2001-10-08_final
2001-10-12 08:59:27	ga_ls7e_ard_3-0-0_089077_2001-10-11_final
2001-11-21 09:46:05	ga_ls7e_ard_3-0-0_097069_2001-11-21_final
2001-12-06 10:42:29	ga_ls7e_ard_3-0-0_106071_2001-12-06_final
2001-12-31 10:37:59	ga_ls7e_ard_3-0-0_105075_2001-12-31_final
2002-02-26 10:31:22	ga_ls7e_ard_3-0-0_104073_2002-02-26_final
2002-04-20 10:50:56	ga_ls7e_ard_3-0-0_107076_2002-04-20_final
2003-01-22 09:26:43	ga_ls7e_ard_3-1-0_094067_2003-01-21_final
2003-03-11 11:08:39	ga_ls7e_ard_3-0-0_110074_2003-03-11_final
2004-11-02 10:08:10	ga_ls7e_ard_3-0-0_100077_2004-11-02_final
2006-03-13 10:09:24	ga_ls7e_ard_3-0-0_100077_2006-03-13_final
2007-03-05 10:24:45	ga_ls7e_ard_3-0-0_103068_2007-03-05_final
2008-04-09 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-04-08_final
2009-02-17 10:09:13	ga_ls7e_ard_3-0-0_100077_2009-02-17_final
2009-05-01 09:59:56	ga_ls7e_ard_3-0-0_099068_2009-05-01_final
2009-08-13 09:16:38	ga_ls7e_ard_3-0-0_091084_2009-08-12_final
2009-12-02 10:10:06	ga_ls7e_ard_3-0-0_100077_2009-12-02_final
2010-02-04 10:11:05	ga_ls7e_ard_3-0-0_100077_2010-02-04_final
2010-03-25 09:20:15	ga_ls7e_ard_3-0-0_091088_2010-03-24_final
2010-04-04 09:50:10	ga_ls7e_ard_3-0-0_097070_2010-04-04_final
2010-08-04 10:31:39	ga_ls7e_ard_3-0-0_103081_2010-08-04_final
2010-08-15 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-08-15_final
2010-11-20 10:54:33	ga_ls7e_ard_3-0-0_107075_2010-11-20_final
2010-12-27 09:31:21	ga_ls7e_ard_3-1-0_094067_2010-12-27_final
2011-07-07 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-07-07_final
2012-03-03 09:32:20	ga_ls7e_ard_3-1-0_094067_2012-03-03_final
2014-01-23 10:12:15	ga_ls7e_ard_3-0-0_099083_2014-01-23_final
2014-02-12 11:20:07	ga_ls7e_ard_3-0-0_111067_2014-02-12_final
2014-02-24 10:06:38	ga_ls7e_ard_3-0-0_099069_2014-02-24_final
2014-07-08 09:29:34	ga_ls7e_ard_3-0-0_093067_2014-07-07_final
2014-09-17 09:35:55	ga_ls7e_ard_3-1-0_094067_2014-09-17_final
2016-05-17 09:40:38	ga_ls7e_ard_3-1-0_094067_2016-05-17_final
2016-12-27 11:21:51	ga_ls7e_ard_3-0-0_110073_2016-12-27_final
2019-05-18 10:23:53	ga_ls7e_ard_3-0-0_102081_2019-05-18_final
2019-08-24 10:06:08	ga_ls7e_ard_3-1-0_100077_2019-08-24_final
2019-12-20 11:05:25	ga_ls7e_ard_3-1-0_110084_2019-12-20_final
2020-08-16 09:13:41	ga_ls7e_ard_3-1-0_094086_2020-08-15_final
2021-02-18 09:34:19	ga_ls7e_ard_3-2-0_100077_2021-02-18_final
2021-04-26 08:20:55	ga_ls7e_ard_3-2-0_089077_2021-04-25_final
2021-05-25 09:26:51	ga_ls7e_ard_3-2-0_100078_2021-05-24_final
2021-07-11 10:17:46	ga_ls7e_ard_3-2-0_109076_2021-07-11_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