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
1999-12-10 10:39:32	ga_ls7e_ard_3-0-0_105068_1999-12-10_final
2000-05-18 10:41:53	ga_ls7e_ard_3-0-0_105076_2000-05-18_final
2000-10-08 11:37:48	ga_ls7e_ard_3-0-0_114081_2000-10-08_final
2000-12-03 09:12:14	ga_ls7e_ard_3-0-0_090088_2000-12-02_final
2001-03-05 11:13:02	ga_ls7e_ard_3-0-0_110081_2001-03-05_final
2001-03-11 10:30:45	ga_ls7e_ard_3-0-0_104068_2001-03-11_final
2001-05-15 11:15:34	ga_ls7e_ard_3-0-0_111073_2001-05-15_final
2002-03-01 11:05:05	ga_ls7e_ard_3-0-0_109080_2002-03-01_final
2002-12-02 10:37:39	ga_ls7e_ard_3-0-0_105075_2002-12-02_final
2003-01-04 11:20:36	ga_ls7e_ard_3-0-0_112074_2003-01-04_final
2003-05-30 11:09:24	ga_ls7e_ard_3-1-0_110076_2003-05-30_final
2003-09-21 10:55:45	ga_ls7e_ard_3-0-0_108074_2003-09-21_final
2003-12-24 11:08:22	ga_ls7e_ard_3-0-0_110073_2003-12-24_final
2003-12-26 09:22:44	ga_ls7e_ard_3-0-0_092087_2003-12-25_final
2004-01-13 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-01-13_final
2004-07-16 10:37:58	ga_ls7e_ard_3-0-0_105074_2004-07-16_final
2004-10-08 10:15:56	ga_ls7e_ard_3-0-0_101082_2004-10-08_final
2004-10-17 10:07:56	ga_ls7e_ard_3-0-0_100077_2004-10-17_final
2005-03-22 10:30:55	ga_ls7e_ard_3-1-0_104070_2005-03-22_final
2005-12-18 11:31:16	ga_ls7e_ard_3-0-0_113082_2005-12-18_final
2005-12-26 10:39:06	ga_ls7e_ard_3-0-0_105075_2005-12-26_final
2006-05-25 10:03:11	ga_ls7e_ard_3-0-0_099077_2006-05-25_final
2006-07-02 09:27:56	ga_ls7e_ard_3-0-0_093082_2006-07-01_final
2006-07-13 09:11:42	ga_ls7e_ard_3-0-0_090088_2006-07-12_final
2007-02-19 10:15:08	ga_ls7e_ard_3-1-0_101075_2007-02-19_final
2007-06-30 09:12:08	ga_ls7e_ard_3-0-0_090088_2007-06-29_final
2007-08-10 10:39:52	ga_ls7e_ard_3-0-0_105076_2007-08-10_final
2008-04-19 10:08:13	ga_ls7e_ard_3-0-0_100074_2008-04-19_final
2008-06-03 11:15:08	ga_ls7e_ard_3-0-0_111072_2008-06-03_final
2009-06-12 10:40:14	ga_ls7e_ard_3-0-0_105076_2009-06-12_final
2009-07-06 09:51:55	ga_ls7e_ard_3-0-0_097079_2009-07-06_final
2010-01-21 09:57:20	ga_ls7e_ard_3-0-0_098074_2010-01-21_final
2010-02-19 11:09:16	ga_ls7e_ard_3-0-0_109083_2010-02-19_final
2010-04-05 10:35:26	ga_ls7e_ard_3-0-0_104075_2010-04-05_final
2010-05-02 10:20:03	ga_ls7e_ard_3-0-0_101083_2010-05-02_final
2010-05-21 10:45:18	ga_ls7e_ard_3-0-0_106069_2010-05-21_final
2010-05-26 11:06:15	ga_ls7e_ard_3-0-0_109075_2010-05-26_final
2010-07-09 11:33:03	ga_ls7e_ard_3-0-0_113080_2010-07-09_final
2010-07-16 10:01:57	ga_ls7e_ard_3-0-0_098084_2010-07-16_final
2010-10-22 09:50:13	ga_ls7e_ard_3-0-0_096085_2010-10-22_final
2010-11-28 10:02:48	ga_ls7e_ard_3-0-0_099069_2010-11-28_final
2010-12-13 09:22:28	ga_ls7e_ard_3-0-0_092076_2010-12-12_final
2011-06-16 09:22:03	ga_ls7e_ard_3-0-0_091089_2011-06-15_final
2011-06-24 10:06:40	ga_ls7e_ard_3-0-0_099077_2011-06-24_final
2011-07-04 10:45:43	ga_ls7e_ard_3-0-0_105082_2011-07-04_final
2011-08-21 10:43:12	ga_ls7e_ard_3-0-0_105076_2011-08-21_final
2011-10-24 10:40:22	ga_ls7e_ard_3-0-0_105069_2011-10-24_final
2012-02-22 09:01:16	ga_ls7e_ard_3-0-0_088082_2012-02-21_final
2012-05-06 11:17:40	ga_ls7e_ard_3-0-0_110082_2012-05-06_final
2012-06-11 10:49:09	ga_ls7e_ard_3-0-0_106073_2012-06-11_final
2012-09-14 11:46:14	ga_ls7e_ard_3-0-0_115074_2012-09-14_final
2013-02-18 11:17:17	ga_ls7e_ard_3-0-0_110077_2013-02-18_final
2013-06-06 09:59:50	ga_ls7e_ard_3-0-0_098070_2013-06-06_final
2013-10-28 11:41:06	ga_ls7e_ard_3-0-0_114075_2013-10-28_final
2013-11-14 10:42:47	ga_ls7e_ard_3-0-0_105068_2013-11-14_final
2014-01-04 11:19:08	ga_ls7e_ard_3-0-0_110081_2014-01-04_final
2014-11-07 10:08:10	ga_ls7e_ard_3-0-0_099069_2014-11-07_final
2015-02-02 10:20:46	ga_ls7e_ard_3-0-0_100084_2015-02-02_final
2016-06-07 10:00:29	ga_ls7e_ard_3-0-0_097070_2016-06-07_final
2016-08-08 10:16:08	ga_ls7e_ard_3-0-0_099078_2016-08-08_final
2016-09-27 11:41:12	ga_ls7e_ard_3-0-0_113074_2016-09-27_final
2016-12-14 10:12:22	ga_ls7e_ard_3-0-0_099069_2016-12-14_final
2017-01-11 10:36:26	ga_ls7e_ard_3-0-0_103068_2017-01-11_final
2017-04-26 10:31:17	ga_ls7e_ard_3-0-0_102070_2017-04-26_final
2017-05-08 09:24:45	ga_ls7e_ard_3-0-0_090089_2017-05-07_final
2018-01-21 10:45:54	ga_ls7e_ard_3-0-0_104077_2018-01-21_final
2018-06-19 11:02:12	ga_ls7e_ard_3-0-0_107077_2018-06-19_final
2018-07-23 10:48:24	ga_ls7e_ard_3-0-0_105075_2018-07-23_final
2018-08-25 09:56:33	ga_ls7e_ard_3-1-0_096086_2018-08-25_final
2018-08-29 11:08:38	ga_ls7e_ard_3-0-0_108081_2018-08-29_final
2018-10-17 10:08:16	ga_ls7e_ard_3-0-0_099072_2018-10-17_final
2018-12-29 09:59:52	ga_ls7e_ard_3-0-0_098071_2018-12-29_final
2019-02-23 10:47:35	ga_ls7e_ard_3-1-0_106071_2019-02-23_final
2019-03-02 10:58:20	ga_ls7e_ard_3-1-0_107083_2019-03-02_final
2019-04-19 09:16:13	ga_ls7e_ard_3-0-0_091079_2019-04-18_final
2019-05-01 09:41:17	ga_ls7e_ard_3-0-0_095081_2019-05-01_final
2019-05-15 11:32:47	ga_ls7e_ard_3-0-0_113083_2019-05-15_final
2019-07-04 09:36:30	ga_ls7e_ard_3-0-0_095075_2019-07-04_final
2020-04-23 08:48:10	ga_ls7e_ard_3-1-0_089082_2020-04-22_final
2020-07-25 09:50:34	ga_ls7e_ard_3-1-0_100082_2020-07-25_final
2020-09-19 10:33:35	ga_ls7e_ard_3-1-0_108075_2020-09-19_final
2021-02-21 08:29:42	ga_ls7e_ard_3-2-0_089086_2021-02-20_final
2021-04-10 10:00:45	ga_ls7e_ard_3-2-0_105076_2021-04-10_final
2022-01-27 09:11:57	ga_ls7e_ard_3-2-1_101081_2022-01-26_final
2022-02-19 09:11:25	ga_ls7e_ard_3-2-1_102070_2022-02-18_final
2022-03-06 08:27:31	ga_ls7e_ard_3-2-1_095072_2022-03-05_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