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

59 results

Time (local)	Label
1999-08-09 09:27:09	ga_ls7e_ard_3-0-0_092088_1999-08-08_final
2001-01-20 10:44:53	ga_ls7e_ard_3-0-0_106072_2001-01-20_final
2003-08-29 10:48:08	ga_ls7e_ard_3-0-0_107070_2003-08-29_final
2003-08-29 10:52:55	ga_ls7e_ard_3-0-0_107082_2003-08-29_final
2004-03-25 09:53:49	ga_ls7e_ard_3-0-0_098071_2004-03-25_final
2004-04-07 09:25:40	ga_ls7e_ard_3-0-0_093078_2004-04-06_final
2004-06-08 09:39:05	ga_ls7e_ard_3-0-0_095081_2004-06-08_final
2004-09-09 09:10:58	ga_ls7e_ard_3-0-0_090089_2004-09-08_final
2004-09-24 10:02:07	ga_ls7e_ard_3-0-0_099078_2004-09-24_final
2005-02-22 10:10:09	ga_ls7e_ard_3-0-0_100080_2005-02-22_final
2005-05-07 09:07:06	ga_ls7e_ard_3-0-0_090077_2005-05-06_final
2005-08-20 10:38:42	ga_ls7e_ard_3-0-0_105075_2005-08-20_final
2005-08-28 11:24:53	ga_ls7e_ard_3-0-0_113067_2005-08-28_final
2005-12-26 10:38:42	ga_ls7e_ard_3-0-0_105074_2005-12-26_final
2006-06-10 10:03:56	ga_ls7e_ard_3-0-0_099079_2006-06-10_final
2006-06-12 11:32:27	ga_ls7e_ard_3-0-0_113084_2006-06-12_final
2007-10-02 09:23:59	ga_ls7e_ard_3-0-0_092088_2007-10-01_final
2008-03-12 10:43:19	ga_ls7e_ard_3-0-0_106069_2008-03-12_final
2008-07-09 09:16:45	ga_ls7e_ard_3-1-0_091086_2008-07-08_final
2008-07-11 10:39:15	ga_ls7e_ard_3-0-0_105076_2008-07-11_final
2009-03-15 09:12:02	ga_ls7e_ard_3-0-0_090088_2009-03-14_final
2010-01-01 10:21:21	ga_ls7e_ard_3-0-0_102073_2010-01-01_final
2010-02-22 10:01:43	ga_ls7e_ard_3-0-0_098084_2010-02-22_final
2010-04-11 09:55:58	ga_ls7e_ard_3-0-0_098069_2010-04-11_final
2010-10-08 09:35:43	ga_ls7e_ard_3-0-0_094080_2010-10-08_final
2011-01-21 09:29:22	ga_ls7e_ard_3-0-0_093077_2011-01-20_final
2011-04-09 11:23:18	ga_ls7e_ard_3-0-0_111083_2011-04-09_final
2011-05-17 09:06:52	ga_ls7e_ard_3-0-0_089082_2011-05-16_final
2011-07-14 09:43:55	ga_ls7e_ard_3-0-0_095082_2011-07-14_final
2011-10-16 09:57:14	ga_ls7e_ard_3-0-0_097085_2011-10-16_final
2011-11-21 11:07:22	ga_ls7e_ard_3-0-0_109074_2011-11-21_final
2012-06-07 11:17:01	ga_ls7e_ard_3-0-0_110081_2012-06-07_final
2012-06-22 10:34:18	ga_ls7e_ard_3-0-0_103082_2012-06-22_final
2013-06-08 11:25:09	ga_ls7e_ard_3-0-0_112067_2013-06-08_final
2014-04-05 09:22:15	ga_ls7e_ard_3-0-0_091081_2014-04-04_final
2014-04-22 10:06:30	ga_ls7e_ard_3-0-0_098083_2014-04-22_final
2014-08-25 11:11:20	ga_ls7e_ard_3-0-0_109074_2014-08-25_final
2014-10-05 11:09:27	ga_ls7e_ard_3-0-0_108084_2014-10-05_final
2014-11-17 10:44:51	ga_ls7e_ard_3-0-0_105068_2014-11-17_final
2015-01-15 10:31:49	ga_ls7e_ard_3-0-0_102081_2015-01-15_final
2015-02-02 10:15:35	ga_ls7e_ard_3-0-0_100071_2015-02-02_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-03-01 10:02:49	ga_ls7e_ard_3-0-0_097085_2015-03-01_final
2016-12-11 09:48:16	ga_ls7e_ard_3-0-0_094086_2016-12-11_final
2017-01-08 11:46:51	ga_ls7e_ard_3-0-0_114074_2017-01-08_final
2017-01-25 10:48:38	ga_ls7e_ard_3-0-0_105068_2017-01-25_final
2017-02-14 10:27:25	ga_ls7e_ard_3-0-0_101077_2017-02-14_final
2018-01-03 10:54:56	ga_ls7e_ard_3-0-0_106068_2018-01-03_final
2018-05-18 09:28:39	ga_ls7e_ard_3-0-0_091089_2018-05-17_final
2018-08-29 09:28:09	ga_ls7e_ard_3-0-0_092077_2018-08-28_final
2018-09-28 09:38:39	ga_ls7e_ard_3-0-0_094074_2018-09-28_final
2019-05-03 11:04:08	ga_ls7e_ard_3-0-0_109072_2019-05-03_final
2019-11-22 10:35:42	ga_ls7e_ard_3-1-0_106068_2019-11-22_final
2020-03-02 10:50:18	ga_ls7e_ard_3-1-0_109071_2020-03-02_final
2020-07-03 10:28:35	ga_ls7e_ard_3-1-0_106081_2020-07-03_final
2020-07-10 08:57:27	ga_ls7e_ard_3-1-0_091086_2020-07-09_final
2020-10-10 09:16:18	ga_ls7e_ard_3-1-0_095086_2020-10-09_final
2021-12-11 09:57:23	ga_ls7e_ard_3-2-1_108075_2021-12-11_final
2021-12-13 08:06:45	ga_ls7e_ard_3-2-1_090077_2021-12-12_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