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
2000-01-16 11:03:09	ga_ls7e_ard_3-0-0_108081_2000-01-16_final
2000-04-05 09:21:53	ga_ls7e_ard_3-0-0_092076_2000-04-04_final
2002-03-27 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-03-27_final
2002-12-31 10:07:38	ga_ls7e_ard_3-0-0_100077_2002-12-31_final
2003-04-03 11:14:25	ga_ls7e_ard_3-0-0_111073_2003-04-03_final
2003-10-05 11:08:28	ga_ls7e_ard_3-0-0_110075_2003-10-05_final
2004-05-23 11:15:16	ga_ls7e_ard_3-0-0_111074_2004-05-23_final
2004-05-25 11:03:17	ga_ls7e_ard_3-0-0_109075_2004-05-25_final
2004-05-28 09:53:42	ga_ls7e_ard_3-0-0_098071_2004-05-28_final
2004-09-18 08:59:56	ga_ls7e_ard_3-0-0_089077_2004-09-17_final
2004-10-15 10:19:28	ga_ls7e_ard_3-0-0_102075_2004-10-15_final
2005-02-07 10:53:41	ga_ls7e_ard_3-0-0_107081_2005-02-07_final
2005-05-16 10:39:01	ga_ls7e_ard_3-0-0_105075_2005-05-16_final
2005-07-29 09:36:36	ga_ls7e_ard_3-0-0_095074_2005-07-29_final
2005-08-17 10:11:01	ga_ls7e_ard_3-0-0_100083_2005-08-17_final
2005-12-26 10:36:18	ga_ls7e_ard_3-0-0_105068_2005-12-26_final
2006-01-26 09:56:54	ga_ls7e_ard_3-0-0_098077_2006-01-26_final
2006-03-14 10:51:52	ga_ls7e_ard_3-0-0_107075_2006-03-14_final
2006-03-29 10:12:10	ga_ls7e_ard_3-0-0_100084_2006-03-29_final
2006-04-25 09:47:59	ga_ls7e_ard_3-0-0_097070_2006-04-25_final
2006-04-25 11:25:40	ga_ls7e_ard_3-0-0_113067_2006-04-25_final
2006-06-17 10:08:53	ga_ls7e_ard_3-0-0_100076_2006-06-17_final
2006-07-30 09:51:39	ga_ls7e_ard_3-0-0_097080_2006-07-30_final
2007-08-25 09:54:55	ga_ls7e_ard_3-0-0_098072_2007-08-25_final
2007-11-21 09:11:15	ga_ls7e_ard_3-0-0_090086_2007-11-20_final
2008-02-11 10:36:19	ga_ls7e_ard_3-0-0_104082_2008-02-11_final
2008-04-16 11:19:48	ga_ls7e_ard_3-0-0_111083_2008-04-16_final
2008-06-30 11:00:19	ga_ls7e_ard_3-0-0_108082_2008-06-30_final
2008-08-01 11:00:47	ga_ls7e_ard_3-0-0_108084_2008-08-01_final
2008-08-16 10:13:50	ga_ls7e_ard_3-1-0_101075_2008-08-16_final
2009-01-18 09:59:27	ga_ls7e_ard_3-0-0_098084_2009-01-18_final
2009-05-02 10:48:47	ga_ls7e_ard_3-0-0_106082_2009-05-02_final
2009-10-10 11:32:05	ga_ls7e_ard_3-0-0_113083_2009-10-10_final
2010-02-24 09:44:35	ga_ls7e_ard_3-0-0_096072_2010-02-24_final
2010-03-21 11:17:51	ga_ls7e_ard_3-0-0_111073_2010-03-21_final
2010-04-20 09:51:46	ga_ls7e_ard_3-0-0_097074_2010-04-20_final
2010-07-15 10:51:59	ga_ls7e_ard_3-0-0_107070_2010-07-15_final
2010-10-02 10:09:55	ga_ls7e_ard_3-0-0_100073_2010-10-02_final
2010-12-26 10:28:57	ga_ls7e_ard_3-0-0_103072_2010-12-26_final
2011-03-15 11:26:13	ga_ls7e_ard_3-0-0_112075_2011-03-15_final
2011-07-24 10:21:22	ga_ls7e_ard_3-0-0_101083_2011-07-24_final
2011-10-04 11:07:23	ga_ls7e_ard_3-0-0_109075_2011-10-04_final
2012-01-29 09:46:37	ga_ls7e_ard_3-0-0_096072_2012-01-29_final
2012-03-08 09:52:50	ga_ls7e_ard_3-0-0_097072_2012-03-08_final
2012-07-26 10:20:46	ga_ls7e_ard_3-0-0_101078_2012-07-26_final
2012-08-21 10:54:58	ga_ls7e_ard_3-0-0_107070_2012-08-21_final
2012-12-26 10:15:27	ga_ls7e_ard_3-0-0_100077_2012-12-26_final
2013-02-23 11:35:00	ga_ls7e_ard_3-0-0_113075_2013-02-23_final
2013-04-26 11:47:55	ga_ls7e_ard_3-0-0_115077_2013-04-26_final
2013-12-16 10:42:56	ga_ls7e_ard_3-0-0_105068_2013-12-16_final
2014-01-25 09:55:08	ga_ls7e_ard_3-0-0_097071_2014-01-25_final
2014-08-03 10:11:34	ga_ls7e_ard_3-0-0_099079_2014-08-03_final
2014-08-04 09:20:20	ga_ls7e_ard_3-0-0_090090_2014-08-03_final
2014-08-14 11:33:31	ga_ls7e_ard_3-0-0_112083_2014-08-14_final
2015-04-04 09:51:30	ga_ls7e_ard_3-0-0_095087_2015-04-04_final
2015-05-22 09:46:40	ga_ls7e_ard_3-0-0_095074_2015-05-22_final
2015-06-01 10:23:48	ga_ls7e_ard_3-0-0_101074_2015-06-01_final
2016-03-31 10:26:51	ga_ls7e_ard_3-1-0_101075_2016-03-31_final
2016-05-24 11:29:20	ga_ls7e_ard_3-0-0_111076_2016-05-24_final
2017-04-09 09:48:42	ga_ls7e_ard_3-0-0_095072_2017-04-09_final
2017-06-08 10:15:42	ga_ls7e_ard_3-0-0_099077_2017-06-08_final
2017-09-18 11:15:06	ga_ls7e_ard_3-0-0_109071_2017-09-18_final
2018-04-13 10:29:39	ga_ls7e_ard_3-0-0_102070_2018-04-13_final
2018-08-03 10:29:39	ga_ls7e_ard_3-0-0_102075_2018-08-03_final
2018-09-26 11:27:08	ga_ls7e_ard_3-0-0_112067_2018-09-26_final
2019-01-03 10:18:15	ga_ls7e_ard_3-0-0_101071_2019-01-03_final
2019-03-10 10:07:26	ga_ls7e_ard_3-1-0_099080_2019-03-10_final
2019-10-04 10:00:35	ga_ls7e_ard_3-1-0_099083_2019-10-04_final
2019-11-03 10:11:16	ga_ls7e_ard_3-1-0_101082_2019-11-03_final
2019-12-17 08:56:35	ga_ls7e_ard_3-1-0_089086_2019-12-16_final
2020-02-01 09:04:13	ga_ls7e_ard_3-1-0_091080_2020-01-31_final
2020-03-09 09:18:02	ga_ls7e_ard_3-1-0_094073_2020-03-08_final
2020-06-25 09:34:50	ga_ls7e_ard_3-1-0_098069_2020-06-25_final
2020-09-13 09:34:11	ga_ls7e_ard_3-1-0_098080_2020-09-13_final
2020-09-21 08:47:48	ga_ls7e_ard_3-1-0_090089_2020-09-20_final
2020-10-02 09:59:04	ga_ls7e_ard_3-1-0_103068_2020-10-02_final
2020-12-03 10:10:01	ga_ls7e_ard_3-1-0_105075_2020-12-03_final
2020-12-09 09:33:17	ga_ls7e_ard_3-1-0_099077_2020-12-09_final
2020-12-21 09:55:54	ga_ls7e_ard_3-1-0_103074_2020-12-21_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2021-10-19 08:06:10	ga_ls7e_ard_3-2-0_089078_2021-10-18_final
2021-12-06 09:36:31	ga_ls7e_ard_3-2-1_105068_2021-12-06_final
2021-12-24 09:24:01	ga_ls7e_ard_3-2-1_103072_2021-12-23_final
2022-01-24 08:40:56	ga_ls7e_ard_3-2-1_096080_2022-01-23_final
2022-04-01 09:01:39	ga_ls7e_ard_3-2-1_101071_2022-03-31_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