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

63 results

Time (local)	Label
1999-11-24 09:08:52	ga_ls7e_ard_3-0-0_089089_1999-11-23_final
2000-02-18 11:45:05	ga_ls7e_ard_3-0-0_115078_2000-02-18_final
2000-06-19 10:38:26	ga_ls7e_ard_3-0-0_105068_2000-06-19_final
2000-10-26 09:48:04	ga_ls7e_ard_3-0-0_096085_2000-10-26_final
2000-12-30 10:29:52	ga_ls7e_ard_3-0-0_103081_2000-12-30_final
2002-02-16 11:34:42	ga_ls7e_ard_3-0-0_114077_2002-02-16_final
2003-08-25 11:18:04	ga_ls7e_ard_3-0-0_111083_2003-08-25_final
2003-10-12 11:13:47	ga_ls7e_ard_3-0-0_111073_2003-10-12_final
2003-11-24 10:58:36	ga_ls7e_ard_3-0-0_108080_2003-11-24_final
2003-12-19 10:50:11	ga_ls7e_ard_3-0-0_107074_2003-12-19_final
2004-01-08 10:23:10	ga_ls7e_ard_3-0-0_103068_2004-01-08_final
2004-02-12 09:18:58	ga_ls7e_ard_3-0-0_092077_2004-02-11_final
2004-02-13 11:41:07	ga_ls7e_ard_3-1-0_115077_2004-02-13_final
2004-02-22 09:54:02	ga_ls7e_ard_3-0-0_098072_2004-02-22_final
2004-05-23 09:35:35	ga_ls7e_ard_3-0-0_095072_2004-05-23_final
2004-09-23 10:56:09	ga_ls7e_ard_3-0-0_108074_2004-09-23_final
2005-04-19 09:24:10	ga_ls7e_ard_3-0-0_092089_2005-04-18_final
2005-07-25 10:03:20	ga_ls7e_ard_3-0-0_099079_2005-07-25_final
2006-01-22 10:23:11	ga_ls7e_ard_3-0-0_102081_2006-01-22_final
2007-02-28 10:07:23	ga_ls7e_ard_3-0-0_100071_2007-02-28_final
2007-05-14 09:47:57	ga_ls7e_ard_3-0-0_097069_2007-05-14_final
2007-06-12 10:58:12	ga_ls7e_ard_3-1-0_108075_2007-06-12_final
2007-08-11 09:47:50	ga_ls7e_ard_3-0-0_096085_2007-08-11_final
2007-12-04 10:13:20	ga_ls7e_ard_3-0-0_101071_2007-12-04_final
2008-04-08 10:29:35	ga_ls7e_ard_3-0-0_103081_2008-04-08_final
2008-12-01 09:53:06	ga_ls7e_ard_3-0-0_098069_2008-12-01_final
2009-04-24 11:36:36	ga_ls7e_ard_3-0-0_114078_2009-04-24_final
2009-05-01 10:01:08	ga_ls7e_ard_3-0-0_099071_2009-05-01_final
2009-06-02 11:41:39	ga_ls7e_ard_3-0-0_115075_2009-06-02_final
2010-05-14 09:05:02	ga_ls7e_ard_3-1-0_089081_2010-05-13_final
2010-10-01 09:30:38	ga_ls7e_ard_3-0-0_093083_2010-10-01_final
2010-10-28 09:13:35	ga_ls7e_ard_3-0-0_090086_2010-10-27_final
2010-11-08 10:26:52	ga_ls7e_ard_3-0-0_103068_2010-11-08_final
2010-12-04 11:10:39	ga_ls7e_ard_3-0-0_109084_2010-12-04_final
2011-05-19 10:33:24	ga_ls7e_ard_3-0-0_103082_2011-05-19_final
2011-06-30 09:33:57	ga_ls7e_ard_3-0-0_093088_2011-06-30_final
2011-08-11 10:06:32	ga_ls7e_ard_3-0-0_099077_2011-08-11_final
2011-11-03 09:37:47	ga_ls7e_ard_3-0-0_095067_2011-11-03_final
2012-02-11 10:55:29	ga_ls7e_ard_3-0-0_107074_2012-02-11_final
2012-03-18 10:28:46	ga_ls7e_ard_3-0-0_103069_2012-03-18_final
2012-06-16 11:08:57	ga_ls7e_ard_3-0-0_109076_2012-06-16_final
2013-04-01 10:17:44	ga_ls7e_ard_3-0-0_100083_2013-04-01_final
2013-06-02 10:24:12	ga_ls7e_ard_3-0-0_102069_2013-06-02_final
2013-11-29 11:40:55	ga_ls7e_ard_3-0-0_114074_2013-11-29_final
2014-02-18 10:43:43	ga_ls7e_ard_3-0-0_105069_2014-02-18_final
2014-05-21 09:37:23	ga_ls7e_ard_3-1-0_093087_2014-05-21_final
2016-09-19 10:52:31	ga_ls7e_ard_3-0-0_105076_2016-09-19_final
2017-01-29 10:29:29	ga_ls7e_ard_3-0-0_101082_2017-01-29_final
2017-03-17 09:42:48	ga_ls7e_ard_3-0-0_094073_2017-03-17_final
2017-05-19 10:42:20	ga_ls7e_ard_3-0-0_103082_2017-05-19_final
2017-08-17 11:16:20	ga_ls7e_ard_3-0-0_109074_2017-08-17_final
2017-11-19 11:28:16	ga_ls7e_ard_3-0-0_111073_2017-11-19_final
2018-07-28 09:33:09	ga_ls7e_ard_3-0-0_092088_2018-07-28_final
2018-09-25 10:47:06	ga_ls7e_ard_3-0-0_105075_2018-09-25_final
2018-10-10 11:39:09	ga_ls7e_ard_3-0-0_114067_2018-10-10_final
2018-12-17 11:19:34	ga_ls7e_ard_3-0-0_110084_2018-12-17_final
2019-03-19 11:39:26	ga_ls7e_ard_3-1-0_114079_2019-03-19_final
2019-09-17 10:52:56	ga_ls7e_ard_3-1-0_108073_2019-09-17_final
2019-09-27 09:48:18	ga_ls7e_ard_3-1-0_098067_2019-09-27_final
2020-07-19 10:22:25	ga_ls7e_ard_3-1-0_106068_2020-07-19_final
2020-08-02 09:03:25	ga_ls7e_ard_3-1-0_092089_2020-08-01_final
2021-06-11 10:10:41	ga_ls7e_ard_3-2-0_107083_2021-06-11_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_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