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

49 results

Time (local)	Label
2001-07-03 10:22:37	ga_ls7e_ard_3-0-0_102081_2001-07-03_final
2002-12-25 10:43:07	ga_ls7e_ard_3-0-0_106073_2002-12-25_final
2003-08-13 10:48:10	ga_ls7e_ard_3-0-0_107070_2003-08-13_final
2003-08-31 10:37:45	ga_ls7e_ard_3-0-0_105075_2003-08-31_final
2004-03-15 09:20:18	ga_ls7e_ard_3-0-0_092080_2004-03-14_final
2004-04-01 10:00:00	ga_ls7e_ard_3-0-0_099071_2004-04-01_final
2004-06-11 10:08:45	ga_ls7e_ard_3-0-0_100078_2004-06-11_final
2005-04-22 09:51:29	ga_ls7e_ard_3-0-0_097080_2005-04-22_final
2005-07-31 09:29:50	ga_ls7e_ard_3-1-0_093088_2005-07-30_final
2005-08-19 09:52:15	ga_ls7e_ard_3-0-0_098067_2005-08-19_final
2005-10-21 09:13:17	ga_ls7e_ard_3-0-0_091078_2005-10-20_final
2006-03-23 10:44:05	ga_ls7e_ard_3-0-0_106071_2006-03-23_final
2007-07-21 11:05:30	ga_ls7e_ard_3-0-0_109078_2007-07-21_final
2007-11-18 10:13:14	ga_ls7e_ard_3-0-0_101071_2007-11-18_final
2008-01-28 10:20:24	ga_ls7e_ard_3-0-0_102073_2008-01-28_final
2008-04-18 11:03:50	ga_ls7e_ard_3-0-0_109074_2008-04-18_final
2008-07-16 09:23:38	ga_ls7e_ard_3-0-0_092088_2008-07-15_final
2009-02-06 10:25:39	ga_ls7e_ard_3-0-0_103072_2009-02-06_final
2009-02-10 11:42:15	ga_ls7e_ard_3-0-0_115078_2009-02-10_final
2010-02-17 09:38:44	ga_ls7e_ard_3-1-0_095073_2010-02-17_final
2011-01-06 10:10:08	ga_ls7e_ard_3-0-0_100071_2011-01-06_final
2011-03-03 10:59:29	ga_ls7e_ard_3-0-0_108070_2011-03-03_final
2011-05-02 09:49:23	ga_ls7e_ard_3-0-0_096080_2011-05-02_final
2012-01-02 10:03:56	ga_ls7e_ard_3-0-0_099069_2012-01-02_final
2012-01-17 11:01:58	ga_ls7e_ard_3-1-0_108075_2012-01-17_final
2012-05-22 09:40:27	ga_ls7e_ard_3-0-0_094086_2012-05-22_final
2013-08-11 11:24:41	ga_ls7e_ard_3-0-0_112067_2013-08-11_final
2013-10-13 10:48:11	ga_ls7e_ard_3-0-0_105082_2013-10-13_final
2013-11-23 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-11-23_final
2014-02-08 10:06:00	ga_ls7e_ard_3-0-0_099067_2014-02-08_final
2014-08-26 10:16:54	ga_ls7e_ard_3-0-0_100077_2014-08-26_final
2015-08-10 09:51:49	ga_ls7e_ard_3-0-0_095086_2015-08-10_final
2016-02-11 09:42:29	ga_ls7e_ard_3-0-0_094073_2016-02-11_final
2016-08-18 09:13:57	ga_ls7e_ard_3-0-0_089077_2016-08-17_final
2016-12-13 09:36:18	ga_ls7e_ard_3-0-0_092087_2016-12-13_final
2017-07-10 10:16:11	ga_ls7e_ard_3-0-0_099078_2017-07-10_final
2017-09-25 09:43:12	ga_ls7e_ard_3-0-0_094073_2017-09-25_final
2017-11-21 11:16:41	ga_ls7e_ard_3-0-0_109075_2017-11-21_final
2018-12-04 10:06:45	ga_ls7e_ard_3-0-0_099071_2018-12-04_final
2019-02-07 10:49:39	ga_ls7e_ard_3-1-0_106075_2019-02-07_final
2019-03-28 09:50:29	ga_ls7e_ard_3-1-0_097070_2019-03-28_final
2019-04-13 11:27:36	ga_ls7e_ard_3-0-0_113067_2019-04-13_final
2019-06-10 10:29:14	ga_ls7e_ard_3-0-0_103081_2019-06-10_final
2020-04-22 09:41:51	ga_ls7e_ard_3-1-0_098077_2020-04-22_final
2020-06-23 09:53:18	ga_ls7e_ard_3-1-0_100084_2020-06-23_final
2020-11-22 08:54:04	ga_ls7e_ard_3-1-0_092084_2020-11-21_final
2021-01-12 09:16:05	ga_ls7e_ard_3-1-0_097071_2021-01-11_final
2021-04-07 09:30:54	ga_ls7e_ard_3-2-0_100078_2021-04-07_final
2022-01-02 09:15:20	ga_ls7e_ard_3-2-1_102068_2022-01-01_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