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
1999-08-15 10:26:07	ga_ls7e_ard_3-0-0_102081_1999-08-15_final
1999-12-24 09:16:33	ga_ls7e_ard_3-0-0_091077_1999-12-23_final
2000-04-14 10:54:04	ga_ls7e_ard_3-0-0_107075_2000-04-14_final
2001-02-08 11:16:05	ga_ls7e_ard_3-1-0_111073_2001-02-08_final
2001-05-08 09:28:15	ga_ls7e_ard_3-1-0_094067_2001-05-07_final
2001-07-12 10:14:50	ga_ls7e_ard_3-0-0_101077_2001-07-12_final
2001-07-16 09:49:42	ga_ls7e_ard_3-0-0_097076_2001-07-16_final
2002-05-07 09:52:11	ga_ls7e_ard_3-0-0_098068_2002-05-07_final
2002-07-16 09:22:36	ga_ls7e_ard_3-0-0_092088_2002-07-15_final
2003-02-26 09:59:46	ga_ls7e_ard_3-0-0_099072_2003-02-26_final
2003-04-10 11:23:25	ga_ls7e_ard_3-0-0_112080_2003-04-10_final
2003-11-06 09:34:37	ga_ls7e_ard_3-0-0_094087_2003-11-06_final
2004-03-26 10:35:53	ga_ls7e_ard_3-0-0_105068_2004-03-26_final
2004-08-14 10:08:06	ga_ls7e_ard_3-0-0_100077_2004-08-14_final
2004-10-01 10:07:52	ga_ls7e_ard_3-0-0_100077_2004-10-01_final
2004-10-23 11:08:39	ga_ls7e_ard_3-0-0_110074_2004-10-23_final
2005-01-14 10:02:55	ga_ls7e_ard_3-0-0_099078_2005-01-14_final
2005-01-17 10:29:50	ga_ls7e_ard_3-0-0_104068_2005-01-17_final
2005-08-22 10:29:07	ga_ls7e_ard_3-0-0_103082_2005-08-22_final
2005-12-24 09:15:44	ga_ls7e_ard_3-0-0_091083_2005-12-23_final
2006-10-21 10:22:50	ga_ls7e_ard_3-0-0_102081_2006-10-21_final
2007-03-21 10:24:47	ga_ls7e_ard_3-0-0_103068_2007-03-21_final
2009-07-01 11:14:17	ga_ls7e_ard_3-0-0_110084_2009-07-01_final
2010-01-13 09:13:22	ga_ls7e_ard_3-0-0_090088_2010-01-12_final
2010-03-16 10:59:41	ga_ls7e_ard_3-0-0_108074_2010-03-16_final
2010-06-25 09:36:35	ga_ls7e_ard_3-0-0_095067_2010-06-25_final
2010-06-29 10:53:57	ga_ls7e_ard_3-0-0_107075_2010-06-29_final
2010-10-06 09:42:52	ga_ls7e_ard_3-0-0_096067_2010-10-06_final
2010-10-19 09:20:05	ga_ls7e_ard_3-0-0_091087_2010-10-18_final
2010-11-30 09:51:39	ga_ls7e_ard_3-0-0_097072_2010-11-30_final
2011-07-05 09:44:07	ga_ls7e_ard_3-0-0_096067_2011-07-05_final
2012-08-24 09:53:23	ga_ls7e_ard_3-1-0_096086_2012-08-24_final
2013-12-17 09:46:54	ga_ls7e_ard_3-0-0_096067_2013-12-17_final
2014-05-26 11:26:50	ga_ls7e_ard_3-0-0_112067_2014-05-26_final
2015-04-28 10:39:07	ga_ls7e_ard_3-0-0_103082_2015-04-28_final
2015-05-28 09:15:35	ga_ls7e_ard_3-1-0_089089_2015-05-27_final
2016-01-26 09:39:59	ga_ls7e_ard_3-1-0_094067_2016-01-26_final
2016-02-07 10:09:35	ga_ls7e_ard_3-0-0_098079_2016-02-07_final
2016-05-06 11:44:25	ga_ls7e_ard_3-0-0_113083_2016-05-06_final
2017-07-09 09:36:31	ga_ls7e_ard_3-0-0_092087_2017-07-09_final
2017-08-29 11:43:27	ga_ls7e_ard_3-1-0_113080_2017-08-29_final
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-03-23 10:11:49	ga_ls7e_ard_3-0-0_099071_2018-03-23_final
2019-01-26 10:22:30	ga_ls7e_ard_3-0-0_102068_2019-01-26_final
2019-02-22 10:03:33	ga_ls7e_ard_3-1-0_099069_2019-02-22_final
2020-03-06 10:29:46	ga_ls7e_ard_3-1-0_105082_2020-03-06_final
2020-03-16 09:23:49	ga_ls7e_ard_3-1-0_095073_2020-03-15_final
2020-05-28 09:18:32	ga_ls7e_ard_3-1-0_094086_2020-05-27_final
2020-10-10 09:08:43	ga_ls7e_ard_3-1-0_095067_2020-10-09_final
2021-08-08 10:41:14	ga_ls7e_ard_3-2-0_113079_2021-08-08_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