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

85 results

Time (local)	Label
1999-11-04 09:28:54	ga_ls7e_ard_3-0-0_093077_1999-11-03_final
2000-02-22 11:18:18	ga_ls7e_ard_3-0-0_111073_2000-02-22_final
2000-06-05 10:31:42	ga_ls7e_ard_3-0-0_103082_2000-06-05_final
2001-03-18 10:41:14	ga_ls7e_ard_3-0-0_105079_2001-03-18_final
2001-05-26 09:22:28	ga_ls7e_ard_3-0-0_092084_2001-05-25_final
2002-03-26 10:56:21	ga_ls7e_ard_3-0-0_108074_2002-03-26_final
2002-08-12 10:37:35	ga_ls7e_ard_3-0-0_105075_2002-08-12_final
2002-11-07 10:43:28	ga_ls7e_ard_3-1-0_106075_2002-11-07_final
2003-08-14 11:30:14	ga_ls7e_ard_3-0-0_114067_2003-08-14_final
2003-12-07 10:28:09	ga_ls7e_ard_3-0-0_103081_2003-12-07_final
2004-01-21 09:53:57	ga_ls7e_ard_3-0-0_098072_2004-01-21_final
2004-06-19 09:22:52	ga_ls7e_ard_3-0-0_092087_2004-06-18_final
2004-10-16 11:02:21	ga_ls7e_ard_3-0-0_109074_2004-10-16_final
2004-12-16 10:35:13	ga_ls7e_ard_3-0-0_104082_2004-12-16_final
2005-01-22 09:17:28	ga_ls7e_ard_3-0-0_091088_2005-01-21_final
2005-01-24 10:39:12	ga_ls7e_ard_3-0-0_105076_2005-01-24_final
2005-01-31 10:45:02	ga_ls7e_ard_3-1-0_106075_2005-01-31_final
2005-02-09 10:39:21	ga_ls7e_ard_3-0-0_105076_2005-02-09_final
2005-04-29 09:56:55	ga_ls7e_ard_3-0-0_098078_2005-04-29_final
2005-05-24 09:51:33	ga_ls7e_ard_3-0-0_097080_2005-05-24_final
2005-06-11 09:39:04	ga_ls7e_ard_3-0-0_095080_2005-06-11_final
2005-08-07 11:08:29	ga_ls7e_ard_3-1-0_110072_2005-08-07_final
2006-01-19 11:31:09	ga_ls7e_ard_3-0-0_113081_2006-01-19_final
2006-03-31 11:35:06	ga_ls7e_ard_3-0-0_114075_2006-03-31_final
2006-07-11 09:23:17	ga_ls7e_ard_3-0-0_092086_2006-07-10_final
2006-08-18 10:22:55	ga_ls7e_ard_3-0-0_102081_2006-08-18_final
2006-09-24 10:38:05	ga_ls7e_ard_3-0-0_105073_2006-09-24_final
2006-10-31 09:23:35	ga_ls7e_ard_3-0-0_092087_2006-10-30_final
2006-11-16 11:01:28	ga_ls7e_ard_3-0-0_108084_2006-11-16_final
2006-11-17 10:03:52	ga_ls7e_ard_3-0-0_099079_2006-11-17_final
2007-02-15 10:40:14	ga_ls7e_ard_3-0-0_105076_2007-02-15_final
2007-06-01 11:15:56	ga_ls7e_ard_3-0-0_111073_2007-06-01_final
2007-09-03 09:51:03	ga_ls7e_ard_3-0-0_097078_2007-09-03_final
2007-09-17 10:03:19	ga_ls7e_ard_3-0-0_099078_2007-09-17_final
2008-02-16 10:51:38	ga_ls7e_ard_3-0-0_107074_2008-02-16_final
2008-04-19 10:09:25	ga_ls7e_ard_3-0-0_100077_2008-04-19_final
2008-08-31 09:34:03	ga_ls7e_ard_3-0-0_094084_2008-08-31_final
2009-05-26 11:37:28	ga_ls7e_ard_3-0-0_114080_2009-05-26_final
2010-02-23 10:40:59	ga_ls7e_ard_3-0-0_105074_2010-02-23_final
2010-04-18 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-18_final
2010-12-24 09:08:00	ga_ls7e_ard_3-0-0_089086_2010-12-23_final
2011-05-11 09:38:00	ga_ls7e_ard_3-0-0_095067_2011-05-11_final
2011-06-23 09:26:36	ga_ls7e_ard_3-0-0_092085_2011-06-22_final
2011-07-06 10:32:10	ga_ls7e_ard_3-0-0_103079_2011-07-06_final
2011-07-07 11:13:50	ga_ls7e_ard_3-0-0_110075_2011-07-07_final
2011-09-15 10:39:17	ga_ls7e_ard_3-0-0_104082_2011-09-15_final
2011-10-01 10:38:52	ga_ls7e_ard_3-0-0_104081_2011-10-01_final
2011-12-17 10:08:09	ga_ls7e_ard_3-0-0_099080_2011-12-17_final
2012-01-06 09:38:26	ga_ls7e_ard_3-0-0_095067_2012-01-06_final
2012-01-06 11:17:43	ga_ls7e_ard_3-0-0_111068_2012-01-06_final
2012-03-13 10:12:12	ga_ls7e_ard_3-0-0_100074_2012-03-13_final
2012-09-07 10:04:42	ga_ls7e_ard_3-0-0_098083_2012-09-07_final
2012-10-22 09:35:02	ga_ls7e_ard_3-0-0_093085_2012-10-22_final
2013-10-14 09:46:35	ga_ls7e_ard_3-0-0_096067_2013-10-14_final
2013-11-06 09:53:42	ga_ls7e_ard_3-0-0_097069_2013-11-06_final
2014-03-05 10:06:31	ga_ls7e_ard_3-0-0_098084_2014-03-05_final
2014-05-24 10:00:43	ga_ls7e_ard_3-0-0_098068_2014-05-24_final
2014-11-29 11:12:28	ga_ls7e_ard_3-0-0_109075_2014-11-29_final
2015-08-19 09:40:28	ga_ls7e_ard_3-0-0_094073_2015-08-19_final
2016-07-22 11:11:44	ga_ls7e_ard_3-0-0_108078_2016-07-22_final
2016-10-10 09:37:24	ga_ls7e_ard_3-0-0_092089_2016-10-10_final
2017-02-25 10:06:35	ga_ls7e_ard_3-0-0_098071_2017-02-25_final
2018-01-13 09:59:22	ga_ls7e_ard_3-0-0_096084_2018-01-13_final
2018-03-06 11:09:16	ga_ls7e_ard_3-1-0_108075_2018-03-06_final
2018-04-24 11:51:48	ga_ls7e_ard_3-0-0_115075_2018-04-24_final
2018-05-08 10:27:48	ga_ls7e_ard_3-0-0_101082_2018-05-08_final
2018-07-28 09:33:09	ga_ls7e_ard_3-0-0_092088_2018-07-28_final
2019-01-20 09:23:41	ga_ls7e_ard_3-0-0_092075_2019-01-19_final
2019-01-20 11:04:58	ga_ls7e_ard_3-0-0_108081_2019-01-20_final
2019-05-03 11:05:20	ga_ls7e_ard_3-0-0_109075_2019-05-03_final
2019-05-10 11:10:51	ga_ls7e_ard_3-0-0_110074_2019-05-10_final
2019-11-16 11:19:27	ga_ls7e_ard_3-1-0_112084_2019-11-16_final
2019-12-27 09:25:34	ga_ls7e_ard_3-1-0_095067_2019-12-26_final
2019-12-30 09:57:55	ga_ls7e_ard_3-1-0_100071_2019-12-30_final
2020-01-17 09:44:14	ga_ls7e_ard_3-1-0_098070_2020-01-17_final
2020-02-04 11:11:27	ga_ls7e_ard_3-1-0_112074_2020-02-04_final
2020-08-20 08:47:07	ga_ls7e_ard_3-1-0_090082_2020-08-19_final
2020-08-26 09:49:20	ga_ls7e_ard_3-1-0_100084_2020-08-26_final
2020-12-10 08:37:59	ga_ls7e_ard_3-1-0_090078_2020-12-09_final
2021-01-04 10:10:29	ga_ls7e_ard_3-1-0_105082_2021-01-04_final
2021-01-30 09:02:50	ga_ls7e_ard_3-2-0_095072_2021-01-29_final
2021-03-15 09:26:11	ga_ls7e_ard_3-2-0_099077_2021-03-14_final
2021-08-20 09:24:49	ga_ls7e_ard_3-2-0_101076_2021-08-19_final
2022-01-21 09:50:24	ga_ls7e_ard_3-2-1_107083_2022-01-21_final
2022-02-10 09:22:53	ga_ls7e_ard_3-2-1_103081_2022-02-09_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