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

67 results

Time (local)	Label
1999-08-10 10:03:14	ga_ls7e_ard_3-0-0_099070_1999-08-10_final
2000-03-29 10:53:53	ga_ls7e_ard_3-0-0_107074_2000-03-29_final
2000-06-17 09:17:55	ga_ls7e_ard_3-0-0_091083_2000-06-16_final
2002-10-04 10:54:04	ga_ls7e_ard_3-0-0_108071_2002-10-04_final
2003-10-05 11:08:52	ga_ls7e_ard_3-0-0_110076_2003-10-05_final
2004-01-27 09:23:42	ga_ls7e_ard_3-0-0_092089_2004-01-26_final
2004-02-23 09:02:00	ga_ls7e_ard_3-1-0_089081_2004-02-22_final
2004-03-03 10:35:11	ga_ls7e_ard_3-0-0_104082_2004-03-03_final
2004-05-05 09:50:20	ga_ls7e_ard_3-0-0_097078_2004-05-05_final
2004-10-18 10:48:49	ga_ls7e_ard_3-0-0_107071_2004-10-18_final
2004-12-24 11:21:33	ga_ls7e_ard_3-0-0_112074_2004-12-24_final
2005-01-29 10:56:10	ga_ls7e_ard_3-0-0_108072_2005-01-29_final
2005-02-05 09:29:08	ga_ls7e_ard_3-0-0_093086_2005-02-04_final
2005-10-11 10:14:56	ga_ls7e_ard_3-0-0_101078_2005-10-11_final
2005-11-27 11:09:28	ga_ls7e_ard_3-0-0_110074_2005-11-27_final
2005-12-26 10:36:18	ga_ls7e_ard_3-0-0_105068_2005-12-26_final
2006-07-04 10:52:03	ga_ls7e_ard_3-0-0_107076_2006-07-04_final
2006-07-13 10:42:36	ga_ls7e_ard_3-0-0_106068_2006-07-13_final
2006-10-01 09:06:55	ga_ls7e_ard_3-0-0_090077_2006-09-30_final
2007-05-16 11:13:39	ga_ls7e_ard_3-0-0_111067_2007-05-16_final
2008-01-30 10:08:02	ga_ls7e_ard_3-0-0_100073_2008-01-30_final
2008-09-10 10:10:15	ga_ls7e_ard_3-0-0_100082_2008-09-10_final
2008-12-05 11:13:17	ga_ls7e_ard_3-0-0_110084_2008-12-05_final
2009-01-05 10:25:29	ga_ls7e_ard_3-0-0_103072_2009-01-05_final
2009-02-11 10:42:39	ga_ls7e_ard_3-0-0_106068_2009-02-11_final
2010-07-09 11:33:27	ga_ls7e_ard_3-0-0_113081_2010-07-09_final
2010-07-18 11:21:42	ga_ls7e_ard_3-0-0_112067_2010-07-18_final
2011-05-08 10:47:11	ga_ls7e_ard_3-0-0_106070_2011-05-08_final
2011-08-19 10:57:34	ga_ls7e_ard_3-0-0_107081_2011-08-19_final
2011-11-16 09:11:28	ga_ls7e_ard_3-0-0_090078_2011-11-15_final
2011-12-23 11:08:02	ga_ls7e_ard_3-0-0_109075_2011-12-23_final
2012-09-18 11:25:31	ga_ls7e_ard_3-0-0_111084_2012-09-18_final
2012-10-24 09:23:05	ga_ls7e_ard_3-1-0_091086_2012-10-23_final
2013-02-06 09:18:06	ga_ls7e_ard_3-0-0_090088_2013-02-05_final
2013-04-23 11:19:24	ga_ls7e_ard_3-0-0_110083_2013-04-23_final
2013-09-30 11:18:06	ga_ls7e_ard_3-0-0_110080_2013-09-30_final
2013-10-07 09:47:54	ga_ls7e_ard_3-0-0_095086_2013-10-07_final
2013-11-14 10:45:35	ga_ls7e_ard_3-0-0_105075_2013-11-14_final
2014-03-18 11:11:25	ga_ls7e_ard_3-0-0_109076_2014-03-18_final
2015-03-15 11:51:45	ga_ls7e_ard_3-0-0_115079_2015-03-15_final
2015-07-12 10:17:50	ga_ls7e_ard_3-0-0_100074_2015-07-12_final
2015-08-11 10:28:42	ga_ls7e_ard_3-0-0_102070_2015-08-11_final
2016-07-13 11:17:04	ga_ls7e_ard_3-0-0_109076_2016-07-13_final
2017-01-11 10:41:14	ga_ls7e_ard_3-0-0_103080_2017-01-11_final
2017-01-31 10:17:07	ga_ls7e_ard_3-0-0_099082_2017-01-31_final
2017-08-01 11:17:10	ga_ls7e_ard_3-0-0_109076_2017-08-01_final
2017-10-14 10:12:09	ga_ls7e_ard_3-0-0_099068_2017-10-14_final
2018-06-04 10:09:38	ga_ls7e_ard_3-0-0_098084_2018-06-04_final
2018-07-13 10:13:28	ga_ls7e_ard_3-0-0_099080_2018-07-13_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2018-12-14 10:42:22	ga_ls7e_ard_3-0-0_105068_2018-12-14_final
2019-05-10 09:37:09	ga_ls7e_ard_3-0-0_094087_2019-05-10_final
2019-06-05 10:09:41	ga_ls7e_ard_3-0-0_100078_2019-06-05_final
2019-07-18 09:45:56	ga_ls7e_ard_3-0-0_097069_2019-07-18_final
2019-12-20 09:22:09	ga_ls7e_ard_3-1-0_094073_2019-12-19_final
2020-07-04 09:34:30	ga_ls7e_ard_3-1-0_097085_2020-07-04_final
2020-09-01 10:49:32	ga_ls7e_ard_3-1-0_110081_2020-09-01_final
2020-12-16 09:36:33	ga_ls7e_ard_3-1-0_100071_2020-12-16_final
2021-02-11 09:28:39	ga_ls7e_ard_3-2-0_099077_2021-02-10_final
2021-04-22 08:49:10	ga_ls7e_ard_3-2-0_093085_2021-04-21_final
2021-05-06 10:34:03	ga_ls7e_ard_3-2-0_111072_2021-05-06_final
2021-05-08 10:22:19	ga_ls7e_ard_3-2-0_109074_2021-05-08_final
2021-05-31 10:27:20	ga_ls7e_ard_3-2-0_110076_2021-05-31_final
2021-07-23 09:00:34	ga_ls7e_ard_3-2-0_097071_2021-07-22_final
2021-09-07 10:50:11	ga_ls7e_ard_3-2-0_115077_2021-09-07_final
2021-09-23 09:12:16	ga_ls7e_ard_3-2-0_099083_2021-09-22_final
2022-02-28 09:08:46	ga_ls7e_ard_3-2-1_101081_2022-02-27_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