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
1999-09-20 10:00:14	ga_ls7e_ard_3-0-0_098078_1999-09-20_final
2001-02-24 11:15:39	ga_ls7e_ard_3-0-0_111072_2001-02-24_final
2002-01-22 09:59:11	ga_ls7e_ard_3-0-0_099070_2002-01-22_final
2004-02-18 10:17:59	ga_ls7e_ard_3-0-0_102070_2004-02-18_final
2004-11-26 10:56:36	ga_ls7e_ard_3-0-0_108074_2004-11-26_final
2004-12-26 11:06:25	ga_ls7e_ard_3-0-0_110067_2004-12-26_final
2005-04-11 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-04-11_final
2005-05-25 10:30:01	ga_ls7e_ard_3-0-0_104068_2005-05-25_final
2005-06-07 11:41:55	ga_ls7e_ard_3-0-0_115078_2005-06-07_final
2005-11-14 10:04:35	ga_ls7e_ard_3-0-0_099082_2005-11-14_final
2006-04-15 09:17:41	ga_ls7e_ard_3-0-0_091087_2006-04-14_final
2006-07-24 10:29:33	ga_ls7e_ard_3-0-0_103082_2006-07-24_final
2006-08-26 11:12:20	ga_ls7e_ard_3-0-0_110081_2006-08-26_final
2007-01-10 09:30:39	ga_ls7e_ard_3-1-0_093088_2007-01-10_final
2007-04-18 10:55:27	ga_ls7e_ard_3-0-0_107083_2007-04-18_final
2008-05-20 11:04:05	ga_ls7e_ard_3-0-0_109075_2008-05-20_final
2008-07-18 09:11:15	ga_ls7e_ard_3-0-0_090088_2008-07-17_final
2008-10-15 09:01:11	ga_ls7e_ard_3-0-0_089080_2008-10-14_final
2009-03-18 09:36:59	ga_ls7e_ard_3-1-0_095073_2009-03-18_final
2010-01-08 10:27:15	ga_ls7e_ard_3-0-0_103072_2010-01-08_final
2010-01-13 09:08:59	ga_ls7e_ard_3-0-0_090077_2010-01-12_final
2010-03-05 11:17:45	ga_ls7e_ard_3-0-0_111073_2010-03-05_final
2012-01-13 09:51:48	ga_ls7e_ard_3-0-0_096085_2012-01-13_final
2012-02-29 09:06:14	ga_ls7e_ard_3-0-0_089079_2012-02-28_final
2012-05-08 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-07_final
2012-07-28 10:08:02	ga_ls7e_ard_3-0-0_099077_2012-07-28_final
2012-08-31 11:30:56	ga_ls7e_ard_3-0-0_113067_2012-08-31_final
2013-03-17 10:55:53	ga_ls7e_ard_3-0-0_107070_2013-03-17_final
2013-06-10 09:41:05	ga_ls7e_ard_3-0-0_094085_2013-06-10_final
2014-12-02 11:40:12	ga_ls7e_ard_3-0-0_114067_2014-12-02_final
2015-12-28 10:11:16	ga_ls7e_ard_3-0-0_099069_2015-12-28_final
2016-02-16 09:59:50	ga_ls7e_ard_3-0-0_097070_2016-02-16_final
2016-04-17 11:08:14	ga_ls7e_ard_3-0-0_108070_2016-04-17_final
2016-05-18 10:29:53	ga_ls7e_ard_3-0-0_101082_2016-05-18_final
2016-07-28 10:35:52	ga_ls7e_ard_3-0-0_102081_2016-07-28_final
2017-03-20 10:16:07	ga_ls7e_ard_3-0-0_099079_2017-03-20_final
2017-06-15 10:21:55	ga_ls7e_ard_3-0-0_100077_2017-06-15_final
2017-07-25 11:10:36	ga_ls7e_ard_3-1-0_108075_2017-07-25_final
2017-10-06 09:25:53	ga_ls7e_ard_3-0-0_091076_2017-10-05_final
2018-04-11 10:46:50	ga_ls7e_ard_3-0-0_104082_2018-04-11_final
2018-06-05 10:52:05	ga_ls7e_ard_3-0-0_105082_2018-06-05_final
2018-08-14 10:08:55	ga_ls7e_ard_3-0-0_099070_2018-08-14_final
2018-11-06 09:41:08	ga_ls7e_ard_3-0-0_095067_2018-11-06_final
2018-12-13 09:59:56	ga_ls7e_ard_3-0-0_098070_2018-12-13_final
2019-10-04 09:58:59	ga_ls7e_ard_3-1-0_099079_2019-10-04_final
2019-11-25 11:06:03	ga_ls7e_ard_3-1-0_111067_2019-11-25_final
2020-02-02 09:48:38	ga_ls7e_ard_3-1-0_098083_2020-02-02_final
2020-08-26 09:49:20	ga_ls7e_ard_3-1-0_100084_2020-08-26_final
2021-03-09 08:26:51	ga_ls7e_ard_3-2-0_089082_2021-03-08_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_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

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