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

70 results

Time (local)	Label
2000-02-29 11:22:07	ga_ls7e_ard_3-0-0_112067_2000-02-29_final
2001-10-16 10:14:31	ga_ls7e_ard_3-0-0_101079_2001-10-16_final
2001-10-29 11:17:46	ga_ls7e_ard_3-0-0_112067_2001-10-29_final
2001-11-03 09:59:04	ga_ls7e_ard_3-0-0_099071_2001-11-03_final
2002-06-14 10:56:04	ga_ls7e_ard_3-0-0_108074_2002-06-14_final
2003-10-25 09:10:39	ga_ls7e_ard_3-1-0_090089_2003-10-24_final
2004-02-14 10:45:06	ga_ls7e_ard_3-0-0_106076_2004-02-14_final
2004-10-01 10:07:52	ga_ls7e_ard_3-0-0_100077_2004-10-01_final
2004-10-13 08:55:42	ga_ls7e_ard_3-0-0_088082_2004-10-12_final
2004-12-03 11:03:15	ga_ls7e_ard_3-0-0_109075_2004-12-03_final
2004-12-20 10:08:33	ga_ls7e_ard_3-0-0_100077_2004-12-20_final
2005-01-25 11:18:52	ga_ls7e_ard_3-0-0_112067_2005-01-25_final
2005-02-06 10:08:49	ga_ls7e_ard_3-0-0_100077_2005-02-06_final
2005-06-29 11:03:31	ga_ls7e_ard_3-0-0_109075_2005-06-29_final
2006-01-03 09:47:44	ga_ls7e_ard_3-0-0_097070_2006-01-03_final
2006-01-26 09:57:18	ga_ls7e_ard_3-0-0_098078_2006-01-26_final
2006-05-19 10:39:52	ga_ls7e_ard_3-0-0_105076_2006-05-19_final
2006-06-18 09:18:03	ga_ls7e_ard_3-0-0_091088_2006-06-17_final
2006-06-25 09:23:47	ga_ls7e_ard_3-0-0_092087_2006-06-24_final
2006-12-03 10:00:49	ga_ls7e_ard_3-1-0_099071_2006-12-03_final
2006-12-08 10:23:23	ga_ls7e_ard_3-0-0_102081_2006-12-08_final
2007-06-22 09:53:12	ga_ls7e_ard_3-0-0_098067_2007-06-22_final
2008-06-09 09:01:55	ga_ls7e_ard_3-0-0_089079_2008-06-08_final
2008-12-08 10:00:09	ga_ls7e_ard_3-0-0_099071_2008-12-08_final
2008-12-09 10:48:12	ga_ls7e_ard_3-0-0_106083_2008-12-09_final
2009-02-11 10:42:39	ga_ls7e_ard_3-0-0_106068_2009-02-11_final
2009-04-03 11:15:10	ga_ls7e_ard_3-0-0_111071_2009-04-03_final
2009-05-26 09:55:47	ga_ls7e_ard_3-0-0_098073_2009-05-26_final
2009-06-05 10:36:27	ga_ls7e_ard_3-0-0_104082_2009-06-05_final
2009-11-23 10:16:11	ga_ls7e_ard_3-0-0_101077_2009-11-23_final
2010-03-01 10:01:58	ga_ls7e_ard_3-0-0_099069_2010-03-01_final
2010-03-17 10:02:52	ga_ls7e_ard_3-0-0_099071_2010-03-17_final
2010-07-31 09:20:17	ga_ls7e_ard_3-0-0_091088_2010-07-30_final
2011-02-16 10:04:10	ga_ls7e_ard_3-0-0_099071_2011-02-16_final
2012-01-22 09:40:48	ga_ls7e_ard_3-1-0_095073_2012-01-22_final
2012-07-06 09:07:58	ga_ls7e_ard_3-0-0_089082_2012-07-05_final
2012-11-08 10:15:09	ga_ls7e_ard_3-0-0_100077_2012-11-08_final
2013-07-05 11:13:11	ga_ls7e_ard_3-0-0_109084_2013-07-05_final
2013-07-23 09:23:00	ga_ls7e_ard_3-0-0_091087_2013-07-22_final
2013-10-19 10:06:46	ga_ls7e_ard_3-0-0_099071_2013-10-19_final
2014-04-14 10:55:26	ga_ls7e_ard_3-0-0_106082_2014-04-14_final
2014-08-19 11:50:26	ga_ls7e_ard_3-0-0_115079_2014-08-19_final
2014-12-12 10:44:27	ga_ls7e_ard_3-0-0_104082_2014-12-12_final
2014-12-27 11:40:57	ga_ls7e_ard_3-0-0_113084_2014-12-27_final
2015-02-27 10:14:45	ga_ls7e_ard_3-0-0_099084_2015-02-27_final
2015-07-16 11:29:13	ga_ls7e_ard_3-0-0_112067_2015-07-16_final
2016-06-26 10:35:25	ga_ls7e_ard_3-0-0_102080_2016-06-26_final
2017-06-24 10:17:21	ga_ls7e_ard_3-0-0_099081_2017-06-24_final
2017-12-09 11:07:23	ga_ls7e_ard_3-0-0_107083_2017-12-09_final
2018-01-03 09:23:14	ga_ls7e_ard_3-0-0_090086_2018-01-02_final
2018-01-23 10:30:19	ga_ls7e_ard_3-0-0_102069_2018-01-23_final
2018-06-19 11:04:35	ga_ls7e_ard_3-0-0_107083_2018-06-19_final
2018-07-18 10:32:20	ga_ls7e_ard_3-0-0_102081_2018-07-18_final
2018-08-14 10:11:43	ga_ls7e_ard_3-0-0_099077_2018-08-14_final
2018-10-27 10:47:08	ga_ls7e_ard_3-0-0_105077_2018-10-27_final
2019-01-06 09:12:58	ga_ls7e_ard_3-0-0_090078_2019-01-05_final
2019-07-14 10:16:00	ga_ls7e_ard_3-0-0_101082_2019-07-14_final
2019-11-04 09:17:59	ga_ls7e_ard_3-1-0_092088_2019-11-03_final
2019-11-20 10:50:57	ga_ls7e_ard_3-1-0_108075_2019-11-20_final
2020-01-02 08:52:34	ga_ls7e_ard_3-1-0_089078_2020-01-01_final
2020-03-27 09:05:28	ga_ls7e_ard_3-1-0_092075_2020-03-26_final
2020-11-04 09:00:53	ga_ls7e_ard_3-1-0_094067_2020-11-03_final
2020-11-27 09:05:28	ga_ls7e_ard_3-1-0_095067_2020-11-26_final
2021-01-20 08:31:16	ga_ls7e_ard_3-2-0_089084_2021-01-19_final
2021-06-03 09:16:43	ga_ls7e_ard_3-2-0_099070_2021-06-02_final
2021-07-05 09:13:17	ga_ls7e_ard_3-2-0_099068_2021-07-04_final
2021-09-07 09:12:06	ga_ls7e_ard_3-2-0_099079_2021-09-06_final
2021-11-01 09:12:57	ga_ls7e_ard_3-2-0_100078_2021-10-31_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_2022-01-28_final
2022-02-01 09:24:48	ga_ls7e_ard_3-2-1_104068_2022-01-31_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years