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
1999-07-24 09:27:28	ga_ls7e_ard_3-0-0_092089_1999-07-23_final
2000-03-01 10:32:05	ga_ls7e_ard_3-0-0_103081_2000-03-01_final
2000-05-08 10:06:05	ga_ls7e_ard_3-0-0_099079_2000-05-08_final
2000-05-18 10:38:42	ga_ls7e_ard_3-0-0_105068_2000-05-18_final
2000-05-28 11:22:02	ga_ls7e_ard_3-0-0_111084_2000-05-28_final
2000-06-05 10:31:42	ga_ls7e_ard_3-0-0_103082_2000-06-05_final
2000-07-18 10:10:20	ga_ls7e_ard_3-0-0_100076_2000-07-18_final
2000-09-10 11:10:36	ga_ls7e_ard_3-0-0_110074_2000-09-10_final
2001-09-30 10:13:51	ga_ls7e_ard_3-0-0_101077_2001-09-30_final
2001-10-07 10:19:55	ga_ls7e_ard_3-0-0_102077_2001-10-07_final
2001-12-07 09:46:30	ga_ls7e_ard_3-0-0_097070_2001-12-07_final
2002-02-24 09:06:25	ga_ls7e_ard_3-0-0_090077_2002-02-23_final
2003-11-03 10:37:48	ga_ls7e_ard_3-0-0_105075_2003-11-03_final
2004-10-19 09:54:01	ga_ls7e_ard_3-0-0_098073_2004-10-19_final
2005-02-09 09:02:28	ga_ls7e_ard_3-1-0_089081_2005-02-08_final
2005-06-13 11:02:47	ga_ls7e_ard_3-0-0_109073_2005-06-13_final
2005-08-03 11:36:01	ga_ls7e_ard_3-0-0_114079_2005-08-03_final
2006-01-06 10:18:16	ga_ls7e_ard_3-0-0_102069_2006-01-06_final
2006-05-21 10:27:31	ga_ls7e_ard_3-0-0_103076_2006-05-21_final
2006-06-30 11:16:24	ga_ls7e_ard_3-0-0_111075_2006-06-30_final
2007-04-19 11:37:07	ga_ls7e_ard_3-0-0_114079_2007-04-19_final
2007-06-27 10:14:08	ga_ls7e_ard_3-0-0_101073_2007-06-27_final
2007-07-30 09:23:35	ga_ls7e_ard_3-0-0_092086_2007-07-29_final
2007-11-12 10:50:15	ga_ls7e_ard_3-0-0_107071_2007-11-12_final
2007-12-26 09:34:45	ga_ls7e_ard_3-0-0_095067_2007-12-26_final
2008-01-25 09:48:18	ga_ls7e_ard_3-0-0_097070_2008-01-25_final
2008-09-29 10:38:34	ga_ls7e_ard_3-0-0_105076_2008-09-29_final
2008-10-13 10:53:35	ga_ls7e_ard_3-0-0_107083_2008-10-13_final
2009-01-19 10:36:44	ga_ls7e_ard_3-0-0_105069_2009-01-19_final
2010-04-03 10:48:59	ga_ls7e_ard_3-0-0_106078_2010-04-03_final
2010-04-11 09:56:22	ga_ls7e_ard_3-0-0_098070_2010-04-11_final
2011-02-10 09:05:08	ga_ls7e_ard_3-0-0_089078_2011-02-09_final
2011-04-30 10:02:57	ga_ls7e_ard_3-0-0_098083_2011-04-30_final
2012-09-29 11:03:08	ga_ls7e_ard_3-0-0_108074_2012-09-29_final
2013-04-01 10:17:44	ga_ls7e_ard_3-0-0_100083_2013-04-01_final
2014-01-15 09:21:50	ga_ls7e_ard_3-0-0_091081_2014-01-14_final
2014-03-05 10:06:31	ga_ls7e_ard_3-0-0_098084_2014-03-05_final
2014-05-21 09:37:23	ga_ls7e_ard_3-1-0_093087_2014-05-21_final
2014-11-24 10:52:40	ga_ls7e_ard_3-0-0_106072_2014-11-24_final
2016-11-14 10:01:19	ga_ls7e_ard_3-0-0_097072_2016-11-14_final
2017-07-20 10:49:40	ga_ls7e_ard_3-0-0_105069_2017-07-20_final
2017-09-02 11:16:20	ga_ls7e_ard_3-0-0_109074_2017-09-02_final
2017-10-16 10:01:48	ga_ls7e_ard_3-0-0_097073_2017-10-16_final
2017-11-15 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-11-15_final
2018-12-23 10:35:56	ga_ls7e_ard_3-0-0_104068_2018-12-23_final
2019-01-08 10:41:02	ga_ls7e_ard_3-0-0_104082_2019-01-08_final
2020-05-31 11:23:45	ga_ls7e_ard_3-1-0_115075_2020-05-31_final
2020-09-24 09:17:19	ga_ls7e_ard_3-1-0_095086_2020-09-23_final
2021-06-04 10:01:29	ga_ls7e_ard_3-2-0_106074_2021-06-04_final
2022-03-12 09:27:54	ga_ls7e_ard_3-2-1_105070_2022-03-11_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