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

51 results

Time (local)	Label
1999-06-30 10:12:23	ga_ls7e_ard_3-0-0_100078_1999-06-30_final
2001-08-04 10:22:21	ga_ls7e_ard_3-0-0_102081_2001-08-04_final
2001-08-14 10:56:24	ga_ls7e_ard_3-0-0_108074_2001-08-14_final
2002-01-15 09:56:06	ga_ls7e_ard_3-0-0_098078_2002-01-15_final
2002-01-30 10:50:32	ga_ls7e_ard_3-0-0_107075_2002-01-30_final
2002-02-11 09:33:19	ga_ls7e_ard_3-0-0_095067_2002-02-11_final
2002-02-27 09:33:22	ga_ls7e_ard_3-0-0_095067_2002-02-27_final
2002-03-26 10:56:21	ga_ls7e_ard_3-0-0_108074_2002-03-26_final
2003-02-25 10:56:11	ga_ls7e_ard_3-0-0_108074_2003-02-25_final
2003-08-24 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-08-24_final
2004-02-12 09:18:10	ga_ls7e_ard_3-0-0_092075_2004-02-11_final
2004-04-16 10:56:42	ga_ls7e_ard_3-0-0_108074_2004-04-16_final
2004-05-17 10:15:04	ga_ls7e_ard_3-0-0_101078_2004-05-17_final
2004-12-18 10:22:29	ga_ls7e_ard_3-0-0_102081_2004-12-18_final
2004-12-19 11:03:22	ga_ls7e_ard_3-0-0_109075_2004-12-19_final
2005-01-06 10:51:08	ga_ls7e_ard_3-0-0_107075_2005-01-06_final
2005-03-03 10:02:48	ga_ls7e_ard_3-0-0_099077_2005-03-03_final
2005-03-18 10:55:15	ga_ls7e_ard_3-0-0_108069_2005-03-18_final
2005-07-10 09:08:31	ga_ls7e_ard_3-0-0_090081_2005-07-09_final
2005-07-29 09:33:49	ga_ls7e_ard_3-0-0_095067_2005-07-29_final
2005-10-04 10:08:22	ga_ls7e_ard_3-0-0_100077_2005-10-04_final
2006-03-07 10:42:53	ga_ls7e_ard_3-0-0_106068_2006-03-07_final
2007-05-16 11:19:38	ga_ls7e_ard_3-1-0_111082_2007-05-16_final
2008-08-28 09:01:11	ga_ls7e_ard_3-0-0_089079_2008-08-27_final
2009-03-02 09:34:27	ga_ls7e_ard_3-0-0_095067_2009-03-02_final
2009-04-22 10:09:40	ga_ls7e_ard_3-0-0_100077_2009-04-22_final
2009-04-25 09:06:29	ga_ls7e_ard_3-1-0_089089_2009-04-24_final
2009-05-01 10:03:31	ga_ls7e_ard_3-0-0_099077_2009-05-01_final
2010-04-22 09:36:37	ga_ls7e_ard_3-0-0_095067_2010-04-22_final
2011-02-04 09:37:49	ga_ls7e_ard_3-0-0_095067_2011-02-04_final
2011-02-20 09:37:53	ga_ls7e_ard_3-0-0_095067_2011-02-20_final
2011-09-16 09:37:41	ga_ls7e_ard_3-0-0_095067_2011-09-16_final
2012-01-23 10:27:15	ga_ls7e_ard_3-0-0_102081_2012-01-23_final
2012-03-10 09:38:29	ga_ls7e_ard_3-0-0_095067_2012-03-10_final
2012-03-27 10:27:23	ga_ls7e_ard_3-0-0_102081_2012-03-27_final
2012-05-13 09:39:07	ga_ls7e_ard_3-0-0_095067_2012-05-13_final
2012-06-09 09:28:36	ga_ls7e_ard_3-0-0_092088_2012-06-08_final
2012-11-09 10:57:38	ga_ls7e_ard_3-0-0_107075_2012-11-09_final
2013-02-25 09:40:33	ga_ls7e_ard_3-0-0_095067_2013-02-25_final
2013-09-05 09:39:56	ga_ls7e_ard_3-0-0_095067_2013-09-05_final
2014-02-12 09:41:14	ga_ls7e_ard_3-0-0_095067_2014-02-12_final
2014-09-08 09:42:04	ga_ls7e_ard_3-0-0_095067_2014-09-08_final
2015-01-14 09:42:59	ga_ls7e_ard_3-0-0_095067_2015-01-14_final
2016-07-27 09:47:01	ga_ls7e_ard_3-0-0_095067_2016-07-27_final
2016-12-24 09:14:06	ga_ls7e_ard_3-0-0_089078_2016-12-23_final
2018-08-05 10:18:27	ga_ls7e_ard_3-0-0_100078_2018-08-05_final
2020-07-10 08:58:39	ga_ls7e_ard_3-1-0_091089_2020-07-09_final
2020-12-13 09:04:17	ga_ls7e_ard_3-1-0_095067_2020-12-12_final
2021-07-21 09:15:54	ga_ls7e_ard_3-2-0_099078_2021-07-20_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_final
2022-01-26 08:25:36	ga_ls7e_ard_3-2-1_094073_2022-01-25_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