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

59 results

Time (local)	Label
2000-04-22 10:03:49	ga_ls7e_ard_3-0-0_099073_2000-04-22_final
2000-08-28 10:04:03	ga_ls7e_ard_3-0-0_099077_2000-08-28_final
2000-11-03 08:57:30	ga_ls7e_ard_3-0-0_088082_2000-11-02_final
2000-11-04 09:42:21	ga_ls7e_ard_3-0-0_095086_2000-11-04_final
2001-03-09 09:12:13	ga_ls7e_ard_3-0-0_090088_2001-03-08_final
2002-08-14 10:27:37	ga_ls7e_ard_3-1-0_103081_2002-08-14_final
2002-10-31 08:59:07	ga_ls7e_ard_3-0-0_089077_2002-10-30_final
2003-02-17 10:05:35	ga_ls7e_ard_3-0-0_100071_2003-02-17_final
2003-05-24 10:07:59	ga_ls7e_ard_3-0-0_100077_2003-05-24_final
2003-08-18 09:26:38	ga_ls7e_ard_3-1-0_094067_2003-08-17_final
2003-08-27 11:02:54	ga_ls7e_ard_3-0-0_109076_2003-08-27_final
2004-02-22 09:56:50	ga_ls7e_ard_3-0-0_098079_2004-02-22_final
2005-05-02 10:23:50	ga_ls7e_ard_3-0-0_103068_2005-05-02_final
2005-08-01 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-08-01_final
2005-11-05 10:06:18	ga_ls7e_ard_3-0-0_100071_2005-11-05_final
2006-07-22 10:39:32	ga_ls7e_ard_3-0-0_105076_2006-07-22_final
2006-09-05 10:08:54	ga_ls7e_ard_3-0-0_100077_2006-09-05_final
2006-09-27 11:10:09	ga_ls7e_ard_3-0-0_110076_2006-09-27_final
2006-11-19 11:32:01	ga_ls7e_ard_3-0-0_113083_2006-11-19_final
2007-01-26 09:22:20	ga_ls7e_ard_3-0-0_093067_2007-01-25_final
2007-09-28 11:19:14	ga_ls7e_ard_3-0-0_112067_2007-09-28_final
2008-02-04 10:29:45	ga_ls7e_ard_3-0-0_103081_2008-02-04_final
2008-06-06 10:09:07	ga_ls7e_ard_3-0-0_100077_2008-06-06_final
2009-05-01 09:59:56	ga_ls7e_ard_3-0-0_099068_2009-05-01_final
2009-05-19 09:52:24	ga_ls7e_ard_3-0-0_097080_2009-05-19_final
2010-01-19 10:10:52	ga_ls7e_ard_3-0-0_100077_2010-01-19_final
2010-11-07 11:24:52	ga_ls7e_ard_3-0-0_112074_2010-11-07_final
2010-11-11 09:26:55	ga_ls7e_ard_3-0-0_092088_2010-11-10_final
2011-10-14 10:04:22	ga_ls7e_ard_3-0-0_099072_2011-10-14_final
2011-12-16 09:28:04	ga_ls7e_ard_3-0-0_092088_2011-12-15_final
2012-06-25 11:02:25	ga_ls7e_ard_3-1-0_108075_2012-06-25_final
2012-07-21 11:39:28	ga_ls7e_ard_3-0-0_114074_2012-07-21_final
2013-02-19 10:19:16	ga_ls7e_ard_3-0-0_101071_2013-02-19_final
2013-10-22 09:03:11	ga_ls7e_ard_3-0-0_088082_2013-10-21_final
2014-01-24 09:19:02	ga_ls7e_ard_3-0-0_090089_2014-01-23_final
2014-03-16 11:22:33	ga_ls7e_ard_3-0-0_111073_2014-03-16_final
2014-06-05 10:25:52	ga_ls7e_ard_3-0-0_102069_2014-06-05_final
2016-01-14 09:22:42	ga_ls7e_ard_3-0-0_090086_2016-01-13_final
2016-09-21 10:42:10	ga_ls7e_ard_3-0-0_103081_2016-09-21_final
2016-09-25 10:12:40	ga_ls7e_ard_3-0-0_099069_2016-09-25_final
2017-09-18 11:16:42	ga_ls7e_ard_3-0-0_109075_2017-09-18_final
2018-03-24 10:54:16	ga_ls7e_ard_3-0-0_106069_2018-03-24_final
2018-04-08 10:13:59	ga_ls7e_ard_3-0-0_099077_2018-04-08_final
2018-12-16 10:29:57	ga_ls7e_ard_3-0-0_103068_2018-12-16_final
2019-01-05 10:04:38	ga_ls7e_ard_3-0-0_099068_2019-01-05_final
2019-05-30 09:12:53	ga_ls7e_ard_3-0-0_090090_2019-05-29_final
2020-03-16 09:29:01	ga_ls7e_ard_3-1-0_095086_2020-03-15_final
2020-05-13 10:01:07	ga_ls7e_ard_3-1-0_101082_2020-05-13_final
2020-07-15 10:50:11	ga_ls7e_ard_3-1-0_110075_2020-07-15_final
2020-07-18 11:20:54	ga_ls7e_ard_3-1-0_115075_2020-07-18_final
2020-11-07 09:33:11	ga_ls7e_ard_3-1-0_099071_2020-11-07_final
2020-12-18 11:05:42	ga_ls7e_ard_3-1-0_114078_2020-12-18_final
2021-03-23 08:40:54	ga_ls7e_ard_3-2-0_091089_2021-03-22_final
2021-06-13 08:18:53	ga_ls7e_ard_3-2-0_089082_2021-06-12_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_final
2021-09-15 09:57:38	ga_ls7e_ard_3-2-0_107071_2021-09-15_final
2021-11-03 10:39:17	ga_ls7e_ard_3-2-0_114078_2021-11-03_final
2021-12-16 10:14:39	ga_ls7e_ard_3-2-1_111073_2021-12-16_final
2022-02-02 10:08:22	ga_ls7e_ard_3-2-1_111069_2022-02-02_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

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