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

80 results

Time (local)	Label
2000-05-15 10:11:01	ga_ls7e_ard_3-0-0_100076_2000-05-15_final
2000-09-04 10:10:30	ga_ls7e_ard_3-0-0_100078_2000-09-04_final
2001-07-21 10:09:00	ga_ls7e_ard_3-0-0_100078_2001-07-21_final
2002-01-16 09:00:28	ga_ls7e_ard_3-0-0_089078_2002-01-15_final
2002-03-11 09:58:51	ga_ls7e_ard_3-0-0_099069_2002-03-11_final
2004-01-12 09:58:27	ga_ls7e_ard_3-0-0_099068_2004-01-12_final
2004-01-12 10:01:38	ga_ls7e_ard_3-0-0_099076_2004-01-12_final
2004-01-28 10:02:59	ga_ls7e_ard_3-0-0_099079_2004-01-28_final
2004-03-06 11:01:43	ga_ls7e_ard_3-0-0_109071_2004-03-06_final
2004-06-04 10:02:38	ga_ls7e_ard_3-0-0_099078_2004-06-04_final
2004-08-13 11:02:32	ga_ls7e_ard_3-0-0_109074_2004-08-13_final
2004-09-18 10:38:26	ga_ls7e_ard_3-0-0_105076_2004-09-18_final
2006-01-27 10:42:10	ga_ls7e_ard_3-0-0_105082_2006-01-27_final
2006-02-18 11:41:17	ga_ls7e_ard_3-0-0_115075_2006-02-18_final
2006-03-29 10:09:47	ga_ls7e_ard_3-0-0_100078_2006-03-29_final
2006-04-16 09:52:57	ga_ls7e_ard_3-0-0_098067_2006-04-16_final
2006-07-22 10:36:20	ga_ls7e_ard_3-0-0_105068_2006-07-22_final
2006-11-28 09:40:39	ga_ls7e_ard_3-0-0_096067_2006-11-28_final
2007-01-04 10:00:09	ga_ls7e_ard_3-0-0_099069_2007-01-04_final
2007-03-08 09:24:21	ga_ls7e_ard_3-0-0_092087_2007-03-07_final
2007-03-09 11:42:31	ga_ls7e_ard_3-1-0_115077_2007-03-09_final
2007-05-03 10:12:32	ga_ls7e_ard_3-0-0_100084_2007-05-03_final
2007-05-20 09:18:48	ga_ls7e_ard_3-0-0_091089_2007-05-19_final
2007-06-01 11:15:56	ga_ls7e_ard_3-0-0_111073_2007-06-01_final
2007-07-03 09:34:39	ga_ls7e_ard_3-0-0_095067_2007-07-03_final
2007-07-03 11:15:55	ga_ls7e_ard_3-0-0_111073_2007-07-03_final
2007-09-01 10:03:50	ga_ls7e_ard_3-0-0_099079_2007-09-01_final
2007-09-05 11:15:10	ga_ls7e_ard_3-0-0_111072_2007-09-05_final
2007-12-06 10:00:11	ga_ls7e_ard_3-0-0_099069_2007-12-06_final
2007-12-23 10:43:55	ga_ls7e_ard_3-0-0_106070_2007-12-23_final
2008-01-20 09:34:34	ga_ls7e_ard_3-0-0_094082_2008-01-20_final
2008-03-23 10:29:35	ga_ls7e_ard_3-0-0_103081_2008-03-23_final
2008-03-26 11:01:17	ga_ls7e_ard_3-0-0_108083_2008-03-26_final
2008-05-25 11:22:11	ga_ls7e_ard_3-0-0_112074_2008-05-25_final
2008-06-09 09:01:31	ga_ls7e_ard_3-0-0_089078_2008-06-08_final
2008-09-12 09:52:17	ga_ls7e_ard_3-0-0_098068_2008-09-12_final
2008-09-19 09:59:12	ga_ls7e_ard_3-0-0_099070_2008-09-19_final
2009-09-21 10:56:06	ga_ls7e_ard_3-0-0_108070_2009-09-21_final
2009-09-22 10:04:04	ga_ls7e_ard_3-0-0_099079_2009-09-22_final
2009-11-02 10:00:10	ga_ls7e_ard_3-0-0_098084_2009-11-02_final
2010-02-09 10:31:17	ga_ls7e_ard_3-0-0_103081_2010-02-09_final
2010-11-14 09:51:04	ga_ls7e_ard_3-0-0_097071_2010-11-14_final
2010-12-21 10:12:21	ga_ls7e_ard_3-0-0_100077_2010-12-21_final
2011-01-03 11:22:52	ga_ls7e_ard_3-0-0_111083_2011-01-03_final
2011-03-19 09:23:01	ga_ls7e_ard_3-0-0_092076_2011-03-18_final
2011-03-20 10:07:04	ga_ls7e_ard_3-0-0_099078_2011-03-20_final
2011-06-08 10:07:07	ga_ls7e_ard_3-0-0_099078_2011-06-08_final
2011-09-09 09:38:43	ga_ls7e_ard_3-0-0_094085_2011-09-09_final
2011-09-15 09:00:00	ga_ls7e_ard_3-0-0_088081_2011-09-14_final
2011-10-19 10:26:34	ga_ls7e_ard_3-0-0_102081_2011-10-19_final
2012-04-26 09:01:27	ga_ls7e_ard_3-0-0_088082_2012-04-25_final
2013-05-14 09:59:49	ga_ls7e_ard_3-0-0_097085_2013-05-14_final
2013-06-20 10:12:56	ga_ls7e_ard_3-0-0_100072_2013-06-20_final
2013-10-05 11:34:19	ga_ls7e_ard_3-0-0_113074_2013-10-05_final
2014-04-13 10:06:58	ga_ls7e_ard_3-0-0_099069_2014-04-13_final
2014-04-19 09:29:11	ga_ls7e_ard_3-0-0_093067_2014-04-18_final
2015-01-16 11:11:05	ga_ls7e_ard_3-0-0_109071_2015-01-16_final
2015-01-26 10:08:32	ga_ls7e_ard_3-0-0_099069_2015-01-26_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-03-08 10:08:37	ga_ls7e_ard_3-0-0_098084_2015-03-08_final
2015-05-18 10:12:58	ga_ls7e_ard_3-0-0_099078_2015-05-18_final
2016-04-10 09:30:17	ga_ls7e_ard_3-0-0_091088_2016-04-10_final
2016-06-27 11:16:41	ga_ls7e_ard_3-0-0_109075_2016-06-27_final
2016-10-19 09:31:12	ga_ls7e_ard_3-0-0_091089_2016-10-19_final
2017-01-07 09:30:42	ga_ls7e_ard_3-0-0_091089_2017-01-07_final
2017-04-03 10:27:44	ga_ls7e_ard_3-0-0_101077_2017-04-03_final
2017-11-03 09:49:02	ga_ls7e_ard_3-0-0_095072_2017-11-03_final
2018-03-16 10:06:08	ga_ls7e_ard_3-0-0_098072_2018-03-16_final
2018-11-04 11:32:25	ga_ls7e_ard_3-0-0_113067_2018-11-04_final
2018-11-09 10:15:57	ga_ls7e_ard_3-0-0_100077_2018-11-09_final
2018-12-25 10:24:42	ga_ls7e_ard_3-0-0_102071_2018-12-25_final
2019-05-22 09:54:13	ga_ls7e_ard_3-0-0_098069_2019-05-22_final
2019-06-22 09:18:14	ga_ls7e_ard_3-0-0_091090_2019-06-21_final
2019-11-20 10:52:56	ga_ls7e_ard_3-1-0_108080_2019-11-20_final
2020-01-06 10:06:31	ga_ls7e_ard_3-1-0_101078_2020-01-06_final
2020-01-19 09:31:47	ga_ls7e_ard_3-1-0_096070_2020-01-19_final
2020-01-26 09:38:01	ga_ls7e_ard_3-1-0_097071_2020-01-26_final
2020-06-24 08:57:37	ga_ls7e_ard_3-1-0_091084_2020-06-23_final
2021-03-30 10:22:59	ga_ls7e_ard_3-2-0_108083_2021-03-30_final
2021-07-13 08:31:32	ga_ls7e_ard_3-2-0_091089_2021-07-12_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