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

86 results

Time (local)	Label
1999-08-10 10:06:49	ga_ls7e_ard_3-0-0_099079_1999-08-10_final
1999-10-08 11:25:18	ga_ls7e_ard_3-0-0_112074_1999-10-08_final
1999-10-29 10:06:48	ga_ls7e_ard_3-0-0_099079_1999-10-29_final
2000-01-01 10:05:31	ga_ls7e_ard_3-0-0_099076_2000-01-01_final
2000-02-02 10:06:18	ga_ls7e_ard_3-0-0_099078_2000-02-02_final
2001-03-09 09:09:26	ga_ls7e_ard_3-0-0_090081_2001-03-08_final
2002-07-27 10:37:15	ga_ls7e_ard_3-0-0_105074_2002-07-27_final
2002-09-30 11:20:00	ga_ls7e_ard_3-0-0_112074_2002-09-30_final
2003-05-29 10:28:08	ga_ls7e_ard_3-0-0_103081_2003-05-29_final
2003-07-31 11:23:30	ga_ls7e_ard_3-0-0_112081_2003-07-31_final
2004-01-12 09:58:27	ga_ls7e_ard_3-0-0_099068_2004-01-12_final
2004-01-31 08:56:13	ga_ls7e_ard_3-0-0_088082_2004-01-30_final
2004-04-18 09:06:38	ga_ls7e_ard_3-0-0_090077_2004-04-17_final
2004-10-14 09:34:59	ga_ls7e_ard_3-0-0_095072_2004-10-14_final
2004-12-31 09:52:54	ga_ls7e_ard_3-0-0_097084_2004-12-31_final
2005-01-27 09:27:38	ga_ls7e_ard_3-1-0_094067_2005-01-26_final
2005-03-10 10:07:00	ga_ls7e_ard_3-0-0_100072_2005-03-10_final
2005-04-30 10:39:23	ga_ls7e_ard_3-0-0_105076_2005-04-30_final
2005-09-27 09:59:00	ga_ls7e_ard_3-0-0_099069_2005-09-27_final
2006-02-18 11:41:17	ga_ls7e_ard_3-0-0_115075_2006-02-18_final
2006-04-17 10:36:36	ga_ls7e_ard_3-0-0_105068_2006-04-17_final
2006-06-19 09:59:43	ga_ls7e_ard_3-0-0_098084_2006-06-19_final
2006-06-20 10:39:46	ga_ls7e_ard_3-0-0_105076_2006-06-20_final
2006-08-13 10:02:48	ga_ls7e_ard_3-0-0_099077_2006-08-13_final
2007-01-19 09:19:17	ga_ls7e_ard_3-0-0_092075_2007-01-18_final
2007-01-27 10:07:12	ga_ls7e_ard_3-0-0_100071_2007-01-27_final
2007-03-25 10:00:04	ga_ls7e_ard_3-0-0_099068_2007-03-25_final
2007-04-16 11:05:02	ga_ls7e_ard_3-0-0_109076_2007-04-16_final
2007-05-28 10:01:23	ga_ls7e_ard_3-0-0_099072_2007-05-28_final
2007-10-29 09:02:52	ga_ls7e_ard_3-1-0_089081_2007-10-28_final
2008-03-16 10:23:23	ga_ls7e_ard_3-0-0_102081_2008-03-16_final
2008-03-29 09:47:43	ga_ls7e_ard_3-0-0_097069_2008-03-29_final
2008-06-03 09:36:39	ga_ls7e_ard_3-1-0_095073_2008-06-03_final
2008-12-24 10:00:17	ga_ls7e_ard_3-0-0_099071_2008-12-24_final
2009-02-15 10:17:58	ga_ls7e_ard_3-0-0_102068_2009-02-15_final
2010-07-23 10:02:09	ga_ls7e_ard_3-0-0_099069_2010-07-23_final
2010-08-27 10:33:05	ga_ls7e_ard_3-0-0_104069_2010-08-27_final
2011-02-20 09:45:51	ga_ls7e_ard_3-0-0_095087_2011-02-20_final
2011-03-21 10:47:32	ga_ls7e_ard_3-0-0_106071_2011-03-21_final
2011-04-06 10:46:25	ga_ls7e_ard_3-0-0_106068_2011-04-06_final
2011-05-19 10:27:49	ga_ls7e_ard_3-0-0_103068_2011-05-19_final
2011-09-11 09:26:21	ga_ls7e_ard_3-0-0_092085_2011-09-10_final
2011-12-16 11:03:45	ga_ls7e_ard_3-0-0_108080_2011-12-16_final
2012-05-09 10:08:33	ga_ls7e_ard_3-0-0_099079_2012-05-09_final
2012-06-28 09:52:05	ga_ls7e_ard_3-0-0_097069_2012-06-28_final
2012-07-18 11:09:20	ga_ls7e_ard_3-0-0_109076_2012-07-18_final
2012-10-02 11:31:16	ga_ls7e_ard_3-0-0_113067_2012-10-02_final
2013-04-11 09:13:31	ga_ls7e_ard_3-0-0_090077_2013-04-10_final
2013-04-26 10:05:50	ga_ls7e_ard_3-0-0_099069_2013-04-26_final
2013-08-23 10:15:04	ga_ls7e_ard_3-0-0_100078_2013-08-23_final
2013-11-19 09:30:49	ga_ls7e_ard_3-0-0_092089_2013-11-19_final
2014-01-25 09:54:20	ga_ls7e_ard_3-0-0_097069_2014-01-25_final
2014-05-31 10:06:31	ga_ls7e_ard_3-0-0_099067_2014-05-31_final
2014-08-18 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-18_final
2014-09-04 11:50:03	ga_ls7e_ard_3-0-0_115078_2014-09-04_final
2014-12-16 10:15:48	ga_ls7e_ard_3-0-0_100072_2014-12-16_final
2015-12-18 11:15:45	ga_ls7e_ard_3-0-0_109076_2015-12-18_final
2015-12-22 10:47:53	ga_ls7e_ard_3-0-0_105068_2015-12-22_final
2016-01-14 09:22:42	ga_ls7e_ard_3-0-0_090086_2016-01-13_final
2017-02-13 11:21:50	ga_ls7e_ard_3-0-0_110074_2017-02-13_final
2017-06-20 10:42:04	ga_ls7e_ard_3-0-0_103081_2017-06-20_final
2017-10-12 10:30:06	ga_ls7e_ard_3-0-0_101082_2017-10-12_final
2017-11-06 10:19:56	ga_ls7e_ard_3-0-0_100072_2017-11-06_final
2017-11-19 09:49:23	ga_ls7e_ard_3-1-0_095073_2017-11-19_final
2018-03-17 10:48:35	ga_ls7e_ard_3-0-0_105070_2018-03-17_final
2018-10-01 10:07:29	ga_ls7e_ard_3-0-0_099069_2018-10-01_final
2019-03-08 10:21:03	ga_ls7e_ard_3-1-0_101083_2019-03-08_final
2019-07-29 11:07:02	ga_ls7e_ard_3-1-0_110072_2019-07-29_final
2019-08-05 09:34:02	ga_ls7e_ard_3-0-0_095072_2019-08-05_final
2019-09-02 11:38:03	ga_ls7e_ard_3-1-0_115076_2019-09-02_final
2019-09-06 11:12:22	ga_ls7e_ard_3-1-0_111074_2019-09-06_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-03-29 10:31:53	ga_ls7e_ard_3-1-0_106075_2020-03-29_final
2020-04-10 09:13:50	ga_ls7e_ard_3-1-0_094067_2020-04-09_final
2020-04-27 10:02:05	ga_ls7e_ard_3-1-0_101082_2020-04-27_final
2020-05-21 10:47:16	ga_ls7e_ard_3-1-0_109075_2020-05-21_final
2020-06-06 10:49:55	ga_ls7e_ard_3-1-0_109084_2020-06-06_final
2020-09-18 09:50:24	ga_ls7e_ard_3-1-0_101075_2020-09-18_final
2021-01-21 09:08:52	ga_ls7e_ard_3-2-0_096070_2021-01-20_final
2021-02-12 10:09:51	ga_ls7e_ard_3-2-0_106072_2021-02-12_final
2021-04-16 11:02:51	ga_ls7e_ard_3-2-0_115078_2021-04-16_final
2021-04-19 09:56:12	ga_ls7e_ard_3-2-0_104082_2021-04-19_final
2021-05-18 09:17:17	ga_ls7e_ard_3-2-0_099068_2021-05-17_final
2021-09-20 08:42:03	ga_ls7e_ard_3-2-0_094084_2021-09-19_final
2021-11-10 09:02:20	ga_ls7e_ard_3-2-0_099069_2021-11-09_final
2022-02-02 10:08:46	ga_ls7e_ard_3-2-1_111070_2022-02-02_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