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

45 results

Time (local)	Label
2001-01-08 10:23:42	ga_ls7e_ard_3-0-0_102081_2001-01-08_final
2002-09-06 10:28:25	ga_ls7e_ard_3-0-0_104068_2002-09-06_final
2003-07-19 10:58:53	ga_ls7e_ard_3-0-0_108081_2003-07-19_final
2004-02-11 10:13:24	ga_ls7e_ard_3-0-0_101074_2004-02-11_final
2004-11-10 10:56:52	ga_ls7e_ard_3-1-0_108075_2004-11-10_final
2005-01-10 10:24:02	ga_ls7e_ard_3-0-0_103069_2005-01-10_final
2005-01-22 10:49:58	ga_ls7e_ard_3-0-0_107072_2005-01-22_final
2005-03-18 09:18:46	ga_ls7e_ard_3-0-0_092075_2005-03-17_final
2005-06-27 11:14:17	ga_ls7e_ard_3-0-0_111071_2005-06-27_final
2005-07-25 10:04:56	ga_ls7e_ard_3-0-0_099083_2005-07-25_final
2006-07-18 09:21:49	ga_ls7e_ard_3-0-0_093067_2006-07-17_final
2007-09-09 10:54:48	ga_ls7e_ard_3-0-0_107083_2007-09-09_final
2007-10-02 10:55:17	ga_ls7e_ard_3-0-0_108069_2007-10-02_final
2008-05-03 10:22:07	ga_ls7e_ard_3-0-0_102078_2008-05-03_final
2008-06-10 09:47:34	ga_ls7e_ard_3-0-0_096085_2008-06-10_final
2008-11-26 11:12:35	ga_ls7e_ard_3-0-0_111067_2008-11-26_final
2009-02-24 10:17:04	ga_ls7e_ard_3-0-0_101081_2009-02-24_final
2009-06-08 09:28:52	ga_ls7e_ard_3-1-0_093083_2009-06-07_final
2009-06-28 09:02:06	ga_ls7e_ard_3-0-0_089078_2009-06-27_final
2011-05-25 11:35:37	ga_ls7e_ard_3-0-0_113083_2011-05-25_final
2011-11-09 10:42:54	ga_ls7e_ard_3-0-0_105075_2011-11-09_final
2011-11-26 11:29:57	ga_ls7e_ard_3-0-0_112084_2011-11-26_final
2012-01-04 09:55:10	ga_ls7e_ard_3-0-0_097078_2012-01-04_final
2012-01-18 10:04:21	ga_ls7e_ard_3-0-0_099070_2012-01-18_final
2012-01-22 11:22:05	ga_ls7e_ard_3-0-0_111079_2012-01-22_final
2013-03-22 09:39:54	ga_ls7e_ard_3-0-0_094081_2013-03-22_final
2013-06-15 11:31:19	ga_ls7e_ard_3-0-0_113067_2013-06-15_final
2013-07-23 10:59:29	ga_ls7e_ard_3-0-0_107081_2013-07-23_final
2014-04-17 09:43:54	ga_ls7e_ard_3-1-0_095073_2014-04-17_final
2015-12-28 10:12:27	ga_ls7e_ard_3-0-0_099072_2015-12-28_final
2016-01-05 09:30:20	ga_ls7e_ard_3-0-0_091090_2016-01-05_final
2017-05-25 11:42:09	ga_ls7e_ard_3-0-0_113077_2017-05-25_final
2017-08-21 10:52:25	ga_ls7e_ard_3-0-0_105076_2017-08-21_final
2018-05-16 11:14:20	ga_ls7e_ard_3-0-0_109075_2018-05-16_final
2018-05-17 10:21:53	ga_ls7e_ard_3-0-0_100083_2018-05-17_final
2019-02-23 10:51:10	ga_ls7e_ard_3-1-0_106080_2019-02-23_final
2019-04-21 10:41:28	ga_ls7e_ard_3-0-0_105076_2019-04-21_final
2019-12-04 09:28:08	ga_ls7e_ard_3-1-0_094086_2019-12-03_final
2020-04-22 11:20:44	ga_ls7e_ard_3-1-0_114077_2020-04-22_final
2020-06-20 10:57:28	ga_ls7e_ard_3-1-0_111074_2020-06-20_final
2020-07-11 09:37:28	ga_ls7e_ard_3-1-0_098078_2020-07-11_final
2020-08-21 11:08:24	ga_ls7e_ard_3-1-0_113080_2020-08-21_final
2021-02-10 10:21:57	ga_ls7e_ard_3-2-0_108071_2021-02-10_final
2021-07-30 10:47:49	ga_ls7e_ard_3-2-0_114078_2021-07-30_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_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