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

55 results

Time (local)	Label
1999-10-29 10:06:48	ga_ls7e_ard_3-0-0_099079_1999-10-29_final
2000-07-28 10:47:11	ga_ls7e_ard_3-0-0_106076_2000-07-28_final
2003-07-31 11:23:30	ga_ls7e_ard_3-0-0_112081_2003-07-31_final
2003-12-11 09:59:28	ga_ls7e_ard_3-0-0_099071_2003-12-11_final
2004-04-18 10:45:07	ga_ls7e_ard_3-0-0_106076_2004-04-18_final
2004-04-28 09:47:19	ga_ls7e_ard_3-1-0_096086_2004-04-28_final
2004-06-03 09:22:34	ga_ls7e_ard_3-0-0_092086_2004-06-02_final
2004-07-23 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-07-23_final
2005-07-08 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-07-07_final
2005-12-01 09:07:05	ga_ls7e_ard_3-0-0_090077_2005-11-30_final
2005-12-08 10:51:22	ga_ls7e_ard_3-0-0_107075_2005-12-08_final
2006-02-09 10:09:20	ga_ls7e_ard_3-0-0_100077_2006-02-09_final
2006-02-18 10:00:48	ga_ls7e_ard_3-0-0_099071_2006-02-18_final
2006-11-17 10:03:04	ga_ls7e_ard_3-0-0_099077_2006-11-17_final
2006-12-03 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-12-03_final
2007-02-12 10:09:43	ga_ls7e_ard_3-0-0_100077_2007-02-12_final
2007-03-27 09:48:06	ga_ls7e_ard_3-0-0_097069_2007-03-27_final
2007-05-11 10:55:57	ga_ls7e_ard_3-0-0_108069_2007-05-11_final
2007-06-22 09:53:12	ga_ls7e_ard_3-0-0_098067_2007-06-22_final
2007-12-06 10:04:11	ga_ls7e_ard_3-0-0_099079_2007-12-06_final
2007-12-22 10:03:51	ga_ls7e_ard_3-0-0_099078_2007-12-22_final
2008-07-01 10:03:05	ga_ls7e_ard_3-0-0_099078_2008-07-01_final
2009-07-04 10:03:29	ga_ls7e_ard_3-0-0_099077_2009-07-04_final
2009-07-04 10:03:53	ga_ls7e_ard_3-0-0_099078_2009-07-04_final
2009-11-19 09:05:10	ga_ls7e_ard_3-0-0_089085_2009-11-18_final
2010-02-28 10:59:34	ga_ls7e_ard_3-0-0_108074_2010-02-28_final
2010-03-01 10:01:58	ga_ls7e_ard_3-0-0_099069_2010-03-01_final
2010-08-15 10:11:31	ga_ls7e_ard_3-0-0_100077_2010-08-15_final
2011-04-23 11:29:15	ga_ls7e_ard_3-0-0_113067_2011-04-23_final
2012-01-21 09:00:44	ga_ls7e_ard_3-0-0_088081_2012-01-20_final
2012-05-08 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-07_final
2012-06-17 10:13:44	ga_ls7e_ard_3-0-0_100077_2012-06-17_final
2012-06-17 10:14:08	ga_ls7e_ard_3-0-0_100078_2012-06-17_final
2013-03-09 10:06:28	ga_ls7e_ard_3-0-0_099070_2013-03-09_final
2013-05-09 11:18:58	ga_ls7e_ard_3-0-0_110082_2013-05-09_final
2013-07-31 10:08:46	ga_ls7e_ard_3-0-0_099078_2013-07-31_final
2013-09-08 10:14:52	ga_ls7e_ard_3-0-0_100077_2013-09-08_final
2013-10-02 09:29:40	ga_ls7e_ard_3-0-0_092087_2013-10-01_final
2014-05-16 09:19:37	ga_ls7e_ard_3-0-0_090089_2014-05-15_final
2015-04-01 09:21:45	ga_ls7e_ard_3-0-0_090090_2015-03-31_final
2016-03-08 10:21:20	ga_ls7e_ard_3-0-0_100077_2016-03-08_final
2016-04-27 10:09:41	ga_ls7e_ard_3-0-0_098078_2016-04-27_final
2017-10-14 10:13:21	ga_ls7e_ard_3-0-0_099071_2017-10-14_final
2017-12-19 09:59:53	ga_ls7e_ard_3-0-0_097069_2017-12-19_final
2019-01-05 10:04:38	ga_ls7e_ard_3-0-0_099068_2019-01-05_final
2019-01-12 10:14:11	ga_ls7e_ard_3-0-0_100077_2019-01-12_final
2019-06-14 10:02:46	ga_ls7e_ard_3-0-0_099077_2019-06-14_final
2019-10-04 09:58:35	ga_ls7e_ard_3-1-0_099078_2019-10-04_final
2019-12-23 09:54:53	ga_ls7e_ard_3-1-0_099078_2019-12-23_final
2020-09-20 09:38:42	ga_ls7e_ard_3-1-0_099077_2020-09-20_final
2020-11-30 09:40:32	ga_ls7e_ard_3-1-0_100078_2020-11-30_final
2021-03-08 11:01:02	ga_ls7e_ard_3-2-0_114081_2021-03-08_final
2021-05-10 08:36:06	ga_ls7e_ard_3-2-0_091087_2021-05-09_final
2022-01-21 08:09:08	ga_ls7e_ard_3-2-1_091077_2022-01-20_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