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

87 results

Time (local)	Label
1999-10-28 09:23:08	ga_ls7e_ard_3-0-0_092078_1999-10-27_final
2001-02-23 08:57:31	ga_ls7e_ard_3-0-0_088082_2001-02-22_final
2001-03-06 10:18:13	ga_ls7e_ard_3-0-0_101083_2001-03-06_final
2001-03-29 10:19:01	ga_ls7e_ard_3-0-0_102070_2001-03-29_final
2001-05-27 10:00:32	ga_ls7e_ard_3-0-0_099071_2001-05-27_final
2003-03-31 09:11:23	ga_ls7e_ard_3-0-0_090090_2003-03-30_final
2003-04-24 09:52:05	ga_ls7e_ard_3-0-0_098068_2003-04-24_final
2003-08-13 09:11:41	ga_ls7e_ard_3-0-0_091076_2003-08-12_final
2003-10-02 10:37:35	ga_ls7e_ard_3-0-0_105075_2003-10-02_final
2004-11-17 11:06:39	ga_ls7e_ard_3-0-0_109084_2004-11-17_final
2005-01-21 10:09:06	ga_ls7e_ard_3-0-0_100078_2005-01-21_final
2005-03-17 10:17:11	ga_ls7e_ard_3-0-0_101082_2005-03-17_final
2005-03-28 09:53:01	ga_ls7e_ard_3-0-0_098068_2005-03-28_final
2005-04-09 10:22:04	ga_ls7e_ard_3-0-0_102079_2005-04-09_final
2005-06-04 11:10:38	ga_ls7e_ard_3-0-0_110077_2005-06-04_final
2005-09-11 10:02:36	ga_ls7e_ard_3-0-0_099078_2005-09-11_final
2006-02-04 09:47:59	ga_ls7e_ard_3-0-0_097070_2006-02-04_final
2006-03-23 09:11:11	ga_ls7e_ard_3-0-0_090086_2006-03-22_final
2006-03-31 09:54:37	ga_ls7e_ard_3-0-0_098071_2006-03-31_final
2006-05-03 10:36:40	ga_ls7e_ard_3-0-0_105068_2006-05-03_final
2006-09-05 10:06:30	ga_ls7e_ard_3-0-0_100071_2006-09-05_final
2006-09-07 09:59:19	ga_ls7e_ard_3-0-0_098084_2006-09-07_final
2006-11-28 11:22:19	ga_ls7e_ard_3-0-0_112074_2006-11-28_final
2006-12-02 09:23:56	ga_ls7e_ard_3-0-0_092087_2006-12-01_final
2007-01-24 11:13:58	ga_ls7e_ard_3-0-0_111068_2007-01-24_final
2007-01-30 10:39:20	ga_ls7e_ard_3-0-0_105074_2007-01-30_final
2007-02-14 09:54:34	ga_ls7e_ard_3-0-0_098070_2007-02-14_final
2007-02-25 11:19:21	ga_ls7e_ard_3-0-0_111081_2007-02-25_final
2007-06-27 10:13:20	ga_ls7e_ard_3-0-0_101071_2007-06-27_final
2007-07-05 09:28:40	ga_ls7e_ard_3-1-0_093083_2007-07-04_final
2007-07-28 11:14:02	ga_ls7e_ard_3-0-0_110084_2007-07-28_final
2007-07-31 11:42:56	ga_ls7e_ard_3-0-0_115079_2007-07-31_final
2007-10-01 10:15:13	ga_ls7e_ard_3-0-0_101077_2007-10-01_final
2007-12-21 10:58:16	ga_ls7e_ard_3-0-0_108075_2007-12-21_final
2008-03-14 08:57:16	ga_ls7e_ard_3-0-0_088082_2008-03-13_final
2008-11-22 11:42:03	ga_ls7e_ard_3-0-0_115079_2008-11-22_final
2009-06-29 09:48:34	ga_ls7e_ard_3-1-0_096086_2009-06-29_final
2009-08-29 10:50:44	ga_ls7e_ard_3-0-0_107072_2009-08-29_final
2010-04-03 09:09:42	ga_ls7e_ard_3-0-0_090077_2010-04-02_final
2010-05-26 09:32:09	ga_ls7e_ard_3-0-0_093087_2010-05-26_final
2010-09-04 09:48:27	ga_ls7e_ard_3-0-0_096081_2010-09-04_final
2010-12-31 10:47:57	ga_ls7e_ard_3-0-0_106073_2010-12-31_final
2011-01-16 10:46:53	ga_ls7e_ard_3-0-0_106070_2011-01-16_final
2011-06-19 11:25:50	ga_ls7e_ard_3-0-0_112074_2011-06-19_final
2012-01-28 09:10:07	ga_ls7e_ard_3-1-0_089089_2012-01-27_final
2012-02-29 10:46:19	ga_ls7e_ard_3-0-0_105082_2012-02-29_final
2012-03-11 10:22:10	ga_ls7e_ard_3-0-0_102068_2012-03-11_final
2012-04-23 10:04:57	ga_ls7e_ard_3-0-0_099071_2012-04-23_final
2012-05-09 10:04:33	ga_ls7e_ard_3-0-0_099069_2012-05-09_final
2012-10-08 09:22:30	ga_ls7e_ard_3-0-0_091085_2012-10-07_final
2012-12-12 10:00:12	ga_ls7e_ard_3-0-0_098070_2012-12-12_final
2013-06-21 10:56:12	ga_ls7e_ard_3-0-0_107072_2013-06-21_final
2013-07-17 09:54:08	ga_ls7e_ard_3-0-0_097072_2013-07-17_final
2014-03-23 11:29:11	ga_ls7e_ard_3-0-0_112074_2014-03-23_final
2014-05-05 09:29:16	ga_ls7e_ard_3-0-0_093067_2014-05-04_final
2014-07-06 09:49:55	ga_ls7e_ard_3-0-0_095087_2014-07-06_final
2014-07-20 11:33:12	ga_ls7e_ard_3-0-0_113067_2014-07-20_final
2015-03-15 10:12:28	ga_ls7e_ard_3-0-0_099078_2015-03-15_final
2015-05-14 10:38:52	ga_ls7e_ard_3-0-0_103081_2015-05-14_final
2015-07-03 10:23:09	ga_ls7e_ard_3-0-0_101072_2015-07-03_final
2015-07-10 10:32:58	ga_ls7e_ard_3-0-0_102081_2015-07-10_final
2015-10-13 09:44:34	ga_ls7e_ard_3-0-0_095067_2015-10-13_final
2015-10-13 09:50:57	ga_ls7e_ard_3-0-0_095083_2015-10-13_final
2016-03-03 10:02:20	ga_ls7e_ard_3-1-0_097076_2016-03-03_final
2016-07-24 09:23:41	ga_ls7e_ard_3-0-0_090086_2016-07-23_final
2017-04-22 10:55:11	ga_ls7e_ard_3-0-0_106068_2017-04-22_final
2017-11-06 10:22:19	ga_ls7e_ard_3-0-0_100078_2017-11-06_final
2018-01-17 11:09:53	ga_ls7e_ard_3-1-0_108075_2018-01-17_final
2018-02-20 09:23:21	ga_ls7e_ard_3-0-0_090088_2018-02-19_final
2018-03-24 09:18:59	ga_ls7e_ard_3-0-0_090078_2018-03-23_final
2018-06-17 11:13:24	ga_ls7e_ard_3-0-0_109074_2018-06-17_final
2018-07-23 10:48:00	ga_ls7e_ard_3-0-0_105074_2018-07-23_final
2019-07-22 11:02:43	ga_ls7e_ard_3-0-0_109076_2019-07-22_final
2019-10-04 09:58:11	ga_ls7e_ard_3-1-0_099077_2019-10-04_final
2019-12-20 10:58:38	ga_ls7e_ard_3-1-0_110067_2019-12-20_final
2019-12-23 09:51:18	ga_ls7e_ard_3-1-0_099069_2019-12-23_final
2020-01-22 10:05:20	ga_ls7e_ard_3-1-0_101077_2020-01-22_final
2020-05-15 09:44:15	ga_ls7e_ard_3-1-0_099071_2020-05-15_final
2020-06-18 11:07:09	ga_ls7e_ard_3-1-0_113067_2020-06-18_final
2020-07-10 08:57:51	ga_ls7e_ard_3-1-0_091087_2020-07-09_final
2020-09-05 10:19:22	ga_ls7e_ard_3-1-0_106068_2020-09-05_final
2020-09-22 09:25:01	ga_ls7e_ard_3-1-0_097074_2020-09-21_final
2020-11-01 08:34:35	ga_ls7e_ard_3-1-0_089078_2020-10-31_final
2020-11-04 09:03:41	ga_ls7e_ard_3-1-0_094074_2020-11-03_final
2020-12-30 09:47:06	ga_ls7e_ard_3-1-0_102069_2020-12-30_final
2021-09-22 10:04:47	ga_ls7e_ard_3-2-0_108075_2021-09-22_final
2022-03-12 09:32:42	ga_ls7e_ard_3-2-1_105082_2022-03-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years