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

75 results

Time (local)	Label
1999-09-04 10:00:17	ga_ls7e_ard_3-0-0_098078_1999-09-04_final
1999-10-29 10:08:48	ga_ls7e_ard_3-0-0_099084_1999-10-29_final
2000-01-21 11:18:52	ga_ls7e_ard_3-0-0_111074_2000-01-21_final
2000-11-30 10:17:27	ga_ls7e_ard_3-0-0_101081_2000-11-30_final
2000-12-18 10:04:20	ga_ls7e_ard_3-0-0_099079_2000-12-18_final
2001-01-25 09:30:57	ga_ls7e_ard_3-0-0_093088_2001-01-25_final
2001-02-04 09:59:58	ga_ls7e_ard_3-0-0_099068_2001-02-04_final
2002-02-22 09:23:07	ga_ls7e_ard_3-0-0_092088_2002-02-21_final
2002-05-15 10:44:18	ga_ls7e_ard_3-1-0_106075_2002-05-15_final
2003-11-25 09:59:24	ga_ls7e_ard_3-0-0_099071_2003-11-25_final
2004-03-24 10:51:50	ga_ls7e_ard_3-0-0_107077_2004-03-24_final
2004-04-01 09:59:12	ga_ls7e_ard_3-0-0_099069_2004-04-01_final
2004-11-07 10:24:46	ga_ls7e_ard_3-0-0_103072_2004-11-07_final
2004-12-26 11:10:01	ga_ls7e_ard_3-0-0_110076_2004-12-26_final
2005-01-19 10:23:03	ga_ls7e_ard_3-0-0_102082_2005-01-19_final
2005-12-26 10:39:30	ga_ls7e_ard_3-0-0_105076_2005-12-26_final
2006-02-21 10:32:30	ga_ls7e_ard_3-0-0_104073_2006-02-21_final
2007-01-30 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-01-30_final
2007-04-02 10:55:05	ga_ls7e_ard_3-0-0_107082_2007-04-02_final
2007-08-23 10:09:17	ga_ls7e_ard_3-0-0_100077_2007-08-23_final
2009-05-01 10:00:44	ga_ls7e_ard_3-0-0_099070_2009-05-01_final
2009-05-12 09:41:01	ga_ls7e_ard_3-0-0_096067_2009-05-12_final
2009-08-13 09:19:02	ga_ls7e_ard_3-0-0_091090_2009-08-12_final
2009-11-25 10:05:51	ga_ls7e_ard_3-0-0_099082_2009-11-25_final
2009-12-18 10:08:45	ga_ls7e_ard_3-0-0_100073_2009-12-18_final
2010-05-26 09:30:57	ga_ls7e_ard_3-0-0_093084_2010-05-26_final
2010-12-22 09:20:44	ga_ls7e_ard_3-0-0_091087_2010-12-21_final
2011-02-22 11:06:01	ga_ls7e_ard_3-0-0_109071_2011-02-22_final
2011-06-18 09:05:41	ga_ls7e_ard_3-0-0_089079_2011-06-17_final
2011-09-06 09:05:03	ga_ls7e_ard_3-0-0_089078_2011-09-05_final
2011-12-05 09:38:10	ga_ls7e_ard_3-0-0_095067_2011-12-05_final
2011-12-18 09:13:20	ga_ls7e_ard_3-0-0_090082_2011-12-17_final
2012-03-05 09:19:58	ga_ls7e_ard_3-0-0_092067_2012-03-04_final
2013-02-08 10:42:14	ga_ls7e_ard_3-0-0_104082_2013-02-08_final
2013-02-09 09:42:37	ga_ls7e_ard_3-0-0_095072_2013-02-09_final
2013-10-25 09:35:18	ga_ls7e_ard_3-0-0_093085_2013-10-25_final
2013-11-04 10:06:50	ga_ls7e_ard_3-0-0_099071_2013-11-04_final
2014-04-20 10:14:03	ga_ls7e_ard_3-0-0_100071_2014-04-20_final
2014-05-21 11:11:29	ga_ls7e_ard_3-0-0_109075_2014-05-21_final
2015-10-03 10:52:08	ga_ls7e_ard_3-0-0_105082_2015-10-03_final
2016-01-06 10:11:37	ga_ls7e_ard_3-0-0_098085_2016-01-06_final
2016-01-06 11:46:31	ga_ls7e_ard_3-0-0_114075_2016-01-06_final
2016-01-13 11:54:24	ga_ls7e_ard_3-0-0_115079_2016-01-13_final
2016-02-09 09:54:26	ga_ls7e_ard_3-0-0_096072_2016-02-09_final
2016-10-15 09:47:09	ga_ls7e_ard_3-0-0_095067_2016-10-15_final
2016-10-31 11:32:45	ga_ls7e_ard_3-0-0_111084_2016-10-31_final
2017-06-25 11:01:01	ga_ls7e_ard_3-0-0_106082_2017-06-25_final
2017-11-10 11:34:53	ga_ls7e_ard_3-0-0_112074_2017-11-10_final
2017-12-28 11:38:28	ga_ls7e_ard_3-0-0_112084_2017-12-28_final
2018-02-03 10:11:59	ga_ls7e_ard_3-0-0_099070_2018-02-03_final
2018-07-18 10:27:09	ga_ls7e_ard_3-0-0_102068_2018-07-18_final
2018-09-03 09:42:36	ga_ls7e_ard_3-0-0_095067_2018-09-03_final
2018-09-30 09:31:25	ga_ls7e_ard_3-0-0_092087_2018-09-30_final
2018-10-10 10:07:04	ga_ls7e_ard_3-0-0_098084_2018-10-10_final
2019-01-27 11:08:31	ga_ls7e_ard_3-0-0_109075_2019-01-27_final
2019-06-04 11:04:08	ga_ls7e_ard_3-0-0_109075_2019-06-04_final
2019-08-27 10:36:07	ga_ls7e_ard_3-1-0_105075_2019-08-27_final
2019-12-04 11:01:26	ga_ls7e_ard_3-1-0_110072_2019-12-04_final
2020-01-10 11:16:05	ga_ls7e_ard_3-1-0_113067_2020-01-10_final
2020-01-25 10:38:04	ga_ls7e_ard_3-1-0_106082_2020-01-25_final
2020-02-18 09:48:12	ga_ls7e_ard_3-1-0_098084_2020-02-18_final
2020-02-25 09:47:38	ga_ls7e_ard_3-1-0_099068_2020-02-25_final
2020-03-30 11:11:53	ga_ls7e_ard_3-1-0_113067_2020-03-30_final
2020-04-14 10:33:21	ga_ls7e_ard_3-1-0_106081_2020-04-14_final
2020-04-26 10:55:46	ga_ls7e_ard_3-1-0_110077_2020-04-26_final
2020-05-07 09:01:41	ga_ls7e_ard_3-1-0_091087_2020-05-06_final
2020-05-19 09:23:16	ga_ls7e_ard_3-1-0_095081_2020-05-18_final
2020-06-14 09:56:25	ga_ls7e_ard_3-1-0_101075_2020-06-14_final
2020-09-29 09:32:21	ga_ls7e_ard_3-1-0_098078_2020-09-29_final
2020-11-11 09:08:59	ga_ls7e_ard_3-1-0_095073_2020-11-10_final
2021-06-24 09:38:20	ga_ls7e_ard_3-2-0_102082_2021-06-24_final
2021-07-04 10:11:46	ga_ls7e_ard_3-2-0_108075_2021-07-04_final
2021-10-18 10:36:22	ga_ls7e_ard_3-2-0_114067_2021-10-18_final
2021-10-26 09:49:24	ga_ls7e_ard_3-2-0_106075_2021-10-26_final
2022-04-03 08:49:06	ga_ls7e_ard_3-2-1_099071_2022-04-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years