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

51 results

Time (local)	Label
1999-12-26 09:04:57	ga_ls7e_ard_3-0-0_089079_1999-12-25_final
1999-12-26 10:41:02	ga_ls7e_ard_3-0-0_105072_1999-12-26_final
2001-04-26 10:42:52	ga_ls7e_ard_3-0-0_106068_2001-04-26_final
2002-10-20 09:21:38	ga_ls7e_ard_3-0-0_092087_2002-10-19_final
2002-12-15 10:05:33	ga_ls7e_ard_3-0-0_100072_2002-12-15_final
2003-01-27 11:26:57	ga_ls7e_ard_3-0-0_113074_2003-01-27_final
2003-05-17 10:02:13	ga_ls7e_ard_3-0-0_099078_2003-05-17_final
2004-06-03 09:22:34	ga_ls7e_ard_3-0-0_092086_2004-06-02_final
2005-01-07 11:31:13	ga_ls7e_ard_3-0-0_114067_2005-01-07_final
2007-02-05 10:05:53	ga_ls7e_ard_3-0-0_099083_2007-02-05_final
2007-11-04 10:05:08	ga_ls7e_ard_3-0-0_099082_2007-11-04_final
2008-12-02 09:04:16	ga_ls7e_ard_3-0-0_089086_2008-12-01_final
2009-03-24 09:04:44	ga_ls7e_ard_3-0-0_089085_2009-03-23_final
2009-03-27 09:28:28	ga_ls7e_ard_3-1-0_094067_2009-03-26_final
2010-02-08 09:43:37	ga_ls7e_ard_3-0-0_096070_2010-02-08_final
2010-10-24 09:38:16	ga_ls7e_ard_3-0-0_094086_2010-10-24_final
2010-12-30 10:06:16	ga_ls7e_ard_3-0-0_099077_2010-12-30_final
2011-01-21 09:28:58	ga_ls7e_ard_3-0-0_093076_2011-01-20_final
2011-02-01 09:14:05	ga_ls7e_ard_3-1-0_090085_2011-01-31_final
2011-02-25 11:39:19	ga_ls7e_ard_3-0-0_114077_2011-02-25_final
2011-03-15 11:26:13	ga_ls7e_ard_3-0-0_112075_2011-03-15_final
2011-04-22 09:11:06	ga_ls7e_ard_3-0-0_090077_2011-04-21_final
2012-01-13 09:46:13	ga_ls7e_ard_3-0-0_096071_2012-01-13_final
2012-07-03 10:13:30	ga_ls7e_ard_3-0-0_100076_2012-07-03_final
2012-08-31 09:53:15	ga_ls7e_ard_3-0-0_097070_2012-08-31_final
2013-09-22 10:29:21	ga_ls7e_ard_3-0-0_102082_2013-09-22_final
2014-12-30 10:31:45	ga_ls7e_ard_3-0-0_102081_2014-12-30_final
2015-01-08 10:26:02	ga_ls7e_ard_3-0-0_101082_2015-01-08_final
2015-06-18 11:09:09	ga_ls7e_ard_3-0-0_108079_2015-06-18_final
2016-03-04 10:46:01	ga_ls7e_ard_3-0-0_104077_2016-03-04_final
2016-03-08 10:23:20	ga_ls7e_ard_3-0-0_100082_2016-03-08_final
2016-03-11 10:48:40	ga_ls7e_ard_3-0-0_105068_2016-03-11_final
2016-03-13 10:36:20	ga_ls7e_ard_3-0-0_103068_2016-03-13_final
2016-03-21 09:54:31	ga_ls7e_ard_3-0-0_095087_2016-03-21_final
2016-05-27 10:19:22	ga_ls7e_ard_3-0-0_100071_2016-05-27_final
2016-07-17 10:49:11	ga_ls7e_ard_3-0-0_105068_2016-07-17_final
2018-06-29 10:01:24	ga_ls7e_ard_3-0-0_097080_2018-06-29_final
2018-07-26 11:19:15	ga_ls7e_ard_3-1-0_110075_2018-07-26_final
2018-11-02 11:49:13	ga_ls7e_ard_3-0-0_115078_2018-11-02_final
2019-06-09 11:19:19	ga_ls7e_ard_3-0-0_112067_2019-06-09_final
2019-06-21 10:08:42	ga_ls7e_ard_3-0-0_100077_2019-06-21_final
2020-02-18 09:42:37	ga_ls7e_ard_3-1-0_098070_2020-02-18_final
2020-03-01 10:07:06	ga_ls7e_ard_3-1-0_102071_2020-03-01_final
2020-07-03 10:26:35	ga_ls7e_ard_3-1-0_106076_2020-07-03_final
2021-03-07 10:17:03	ga_ls7e_ard_3-2-0_107079_2021-03-07_final
2021-05-19 10:03:15	ga_ls7e_ard_3-2-0_106075_2021-05-19_final
2021-06-11 08:31:25	ga_ls7e_ard_3-2-0_091082_2021-06-10_final
2021-06-18 10:13:54	ga_ls7e_ard_3-2-0_108077_2021-06-18_final
2021-08-25 09:39:44	ga_ls7e_ard_3-2-0_104068_2021-08-25_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_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

All years