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

47 results

Time (local)	Label
1999-11-06 10:55:27	ga_ls7e_ard_3-0-0_107077_1999-11-06_final
1999-11-17 10:38:06	ga_ls7e_ard_3-0-0_104080_1999-11-17_final
2000-03-16 11:25:38	ga_ls7e_ard_3-0-0_112076_2000-03-16_final
2000-03-23 09:52:10	ga_ls7e_ard_3-0-0_097074_2000-03-23_final
2000-09-13 11:41:51	ga_ls7e_ard_3-0-0_115075_2000-09-13_final
2002-04-10 10:14:18	ga_ls7e_ard_3-0-0_101077_2002-04-10_final
2003-01-22 11:08:23	ga_ls7e_ard_3-0-0_110074_2003-01-22_final
2004-02-06 09:58:50	ga_ls7e_ard_3-0-0_098084_2004-02-06_final
2004-10-22 10:22:58	ga_ls7e_ard_3-0-0_103068_2004-10-22_final
2005-02-26 11:21:56	ga_ls7e_ard_3-0-0_112074_2005-02-26_final
2005-03-20 10:43:41	ga_ls7e_ard_3-0-0_106071_2005-03-20_final
2006-04-23 11:41:13	ga_ls7e_ard_3-0-0_115075_2006-04-23_final
2006-10-02 11:31:51	ga_ls7e_ard_3-0-0_113084_2006-10-02_final
2007-01-16 10:25:39	ga_ls7e_ard_3-0-0_103071_2007-01-16_final
2007-02-04 09:20:13	ga_ls7e_ard_3-0-0_092077_2007-02-03_final
2007-06-04 10:07:58	ga_ls7e_ard_3-0-0_100073_2007-06-04_final
2007-06-17 11:15:09	ga_ls7e_ard_3-0-0_111071_2007-06-17_final
2007-09-22 10:17:51	ga_ls7e_ard_3-0-0_102068_2007-09-22_final
2007-10-07 11:15:45	ga_ls7e_ard_3-0-0_111074_2007-10-07_final
2007-12-22 10:03:51	ga_ls7e_ard_3-0-0_099078_2007-12-22_final
2008-11-05 09:21:16	ga_ls7e_ard_3-0-0_092083_2008-11-04_final
2011-04-06 10:46:25	ga_ls7e_ard_3-0-0_106068_2011-04-06_final
2011-05-06 09:22:40	ga_ls7e_ard_3-0-0_092075_2011-05-05_final
2011-10-12 10:19:06	ga_ls7e_ard_3-0-0_101078_2011-10-12_final
2012-01-16 10:21:30	ga_ls7e_ard_3-0-0_101082_2012-01-16_final
2012-03-24 11:32:34	ga_ls7e_ard_3-0-0_113074_2012-03-24_final
2012-07-20 10:58:36	ga_ls7e_ard_3-0-0_107080_2012-07-20_final
2013-04-05 11:29:07	ga_ls7e_ard_3-0-0_112076_2013-04-05_final
2013-08-21 10:29:00	ga_ls7e_ard_3-0-0_102082_2013-08-21_final
2013-09-02 09:17:47	ga_ls7e_ard_3-0-0_090089_2013-09-01_final
2014-09-30 10:45:39	ga_ls7e_ard_3-0-0_105071_2014-09-30_final
2014-10-23 10:50:52	ga_ls7e_ard_3-0-0_106068_2014-10-23_final
2015-07-14 10:02:41	ga_ls7e_ard_3-0-0_098067_2015-07-14_final
2015-10-25 10:09:54	ga_ls7e_ard_3-0-0_099068_2015-10-25_final
2015-12-18 09:40:51	ga_ls7e_ard_3-0-0_093086_2015-12-18_final
2016-12-10 10:37:55	ga_ls7e_ard_3-0-0_103071_2016-12-10_final
2016-12-20 11:14:32	ga_ls7e_ard_3-0-0_109070_2016-12-20_final
2017-09-01 10:35:52	ga_ls7e_ard_3-0-0_102081_2017-09-01_final
2018-11-24 11:10:01	ga_ls7e_ard_3-0-0_109074_2018-11-24_final
2019-03-19 10:02:09	ga_ls7e_ard_3-1-0_098083_2019-03-19_final
2019-05-07 10:40:28	ga_ls7e_ard_3-0-0_105075_2019-05-07_final
2019-05-30 10:48:10	ga_ls7e_ard_3-0-0_106081_2019-05-30_final
2019-08-03 11:27:45	ga_ls7e_ard_3-0-0_113078_2019-08-03_final
2020-01-16 09:07:25	ga_ls7e_ard_3-1-0_091086_2020-01-15_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-09-04 10:17:33	ga_ls7e_ard_3-2-0_110072_2021-09-04_final
2021-11-05 10:25:09	ga_ls7e_ard_3-2-0_112074_2021-11-05_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