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

52 results

Time (local)	Label
1999-11-07 10:01:02	ga_ls7e_ard_3-0-0_098080_1999-11-07_final
2000-05-07 09:26:26	ga_ls7e_ard_3-0-0_092088_2000-05-06_final
2001-03-08 09:59:52	ga_ls7e_ard_3-0-0_099068_2001-03-08_final
2002-09-05 09:45:57	ga_ls7e_ard_3-0-0_097070_2002-09-05_final
2003-01-28 10:34:31	ga_ls7e_ard_3-0-0_104082_2003-01-28_final
2004-02-11 10:15:00	ga_ls7e_ard_3-0-0_101078_2004-02-11_final
2004-05-16 09:35:00	ga_ls7e_ard_3-0-0_094086_2004-05-16_final
2005-04-25 10:18:01	ga_ls7e_ard_3-0-0_102069_2005-04-25_final
2006-02-12 09:04:10	ga_ls7e_ard_3-0-0_089084_2006-02-11_final
2006-02-28 10:39:54	ga_ls7e_ard_3-0-0_105076_2006-02-28_final
2006-08-07 09:06:11	ga_ls7e_ard_3-0-0_089090_2006-08-06_final
2006-11-06 10:23:04	ga_ls7e_ard_3-0-0_102081_2006-11-06_final
2007-01-17 09:36:01	ga_ls7e_ard_3-0-0_094086_2007-01-17_final
2007-05-07 09:43:48	ga_ls7e_ard_3-0-0_096074_2007-05-07_final
2007-05-25 11:07:24	ga_ls7e_ard_3-0-0_110067_2007-05-25_final
2007-06-25 10:29:41	ga_ls7e_ard_3-0-0_103081_2007-06-25_final
2007-06-28 09:22:30	ga_ls7e_ard_3-0-0_092083_2007-06-27_final
2007-11-17 09:32:45	ga_ls7e_ard_3-0-0_094078_2007-11-17_final
2008-06-21 11:03:24	ga_ls7e_ard_3-0-0_109074_2008-06-21_final
2009-03-31 10:43:03	ga_ls7e_ard_3-0-0_106068_2009-03-31_final
2009-09-22 10:03:40	ga_ls7e_ard_3-0-0_099078_2009-09-22_final
2010-02-24 09:44:35	ga_ls7e_ard_3-0-0_096072_2010-02-24_final
2010-05-09 10:25:48	ga_ls7e_ard_3-0-0_102082_2010-05-09_final
2010-10-02 10:09:55	ga_ls7e_ard_3-0-0_100073_2010-10-02_final
2010-12-22 09:20:44	ga_ls7e_ard_3-0-0_091087_2010-12-21_final
2011-01-16 09:12:47	ga_ls7e_ard_3-0-0_090082_2011-01-15_final
2012-04-30 10:14:07	ga_ls7e_ard_3-0-0_100078_2012-04-30_final
2013-01-21 09:16:04	ga_ls7e_ard_3-0-0_090083_2013-01-20_final
2013-05-05 10:05:38	ga_ls7e_ard_3-0-0_098084_2013-05-05_final
2013-07-30 09:29:30	ga_ls7e_ard_3-0-0_092088_2013-07-29_final
2013-09-17 10:05:11	ga_ls7e_ard_3-0-0_099068_2013-09-17_final
2013-12-17 11:28:35	ga_ls7e_ard_3-0-0_112074_2013-12-17_final
2014-01-06 11:07:35	ga_ls7e_ard_3-0-0_108083_2014-01-06_final
2014-02-25 10:50:18	ga_ls7e_ard_3-0-0_106070_2014-02-25_final
2014-05-03 09:48:01	ga_ls7e_ard_3-0-0_095083_2014-05-03_final
2016-07-04 11:25:40	ga_ls7e_ard_3-0-0_110082_2016-07-04_final
2016-09-07 10:30:35	ga_ls7e_ard_3-0-0_101083_2016-09-07_final
2017-11-19 11:28:16	ga_ls7e_ard_3-0-0_111073_2017-11-19_final
2018-07-15 10:03:05	ga_ls7e_ard_3-0-0_097085_2018-07-15_final
2018-10-01 10:07:05	ga_ls7e_ard_3-0-0_099068_2018-10-01_final
2018-12-13 10:00:20	ga_ls7e_ard_3-0-0_098071_2018-12-13_final
2019-04-19 09:16:13	ga_ls7e_ard_3-0-0_091079_2019-04-18_final
2019-08-26 09:50:54	ga_ls7e_ard_3-1-0_098070_2019-08-26_final
2019-10-06 09:46:09	ga_ls7e_ard_3-1-0_097078_2019-10-06_final
2019-10-14 10:34:03	ga_ls7e_ard_3-1-0_105075_2019-10-14_final
2019-12-10 10:28:03	ga_ls7e_ard_3-1-0_104082_2019-12-10_final
2020-02-04 09:37:22	ga_ls7e_ard_3-1-0_096086_2020-02-04_final
2020-09-28 10:30:01	ga_ls7e_ard_3-1-0_107083_2020-09-28_final
2020-12-09 09:33:17	ga_ls7e_ard_3-1-0_099077_2020-12-09_final
2021-02-03 08:44:12	ga_ls7e_ard_3-2-0_091088_2021-02-02_final
2021-05-07 09:37:09	ga_ls7e_ard_3-2-0_102069_2021-05-07_final
2021-10-12 09:41:06	ga_ls7e_ard_3-2-0_104082_2021-10-12_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