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

69 results

Time (local)	Label
1999-09-11 10:06:48	ga_ls7e_ard_3-0-0_099079_1999-09-11_final
1999-11-30 10:02:42	ga_ls7e_ard_3-0-0_099069_1999-11-30_final
2002-04-11 10:56:22	ga_ls7e_ard_3-0-0_108074_2002-04-11_final
2002-04-23 11:18:14	ga_ls7e_ard_3-0-0_112067_2002-04-23_final
2002-06-10 11:18:01	ga_ls7e_ard_3-0-0_112067_2002-06-10_final
2002-06-15 10:02:02	ga_ls7e_ard_3-0-0_099078_2002-06-15_final
2002-07-13 10:27:49	ga_ls7e_ard_3-0-0_103081_2002-07-13_final
2002-08-01 10:55:46	ga_ls7e_ard_3-0-0_108074_2002-08-01_final
2003-03-30 09:59:25	ga_ls7e_ard_3-0-0_099071_2003-03-30_final
2003-12-06 11:20:58	ga_ls7e_ard_3-0-0_112074_2003-12-06_final
2004-02-01 09:37:05	ga_ls7e_ard_3-0-0_095076_2004-02-01_final
2004-07-12 11:03:06	ga_ls7e_ard_3-0-0_109075_2004-07-12_final
2004-07-14 10:50:44	ga_ls7e_ard_3-0-0_107075_2004-07-14_final
2004-12-01 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-12-01_final
2005-02-15 09:59:56	ga_ls7e_ard_3-0-0_099070_2005-02-15_final
2005-07-08 09:22:52	ga_ls7e_ard_3-0-0_092086_2005-07-07_final
2005-10-29 10:02:50	ga_ls7e_ard_3-0-0_099078_2005-10-29_final
2006-01-01 09:59:16	ga_ls7e_ard_3-0-0_099068_2006-01-01_final
2006-03-06 10:04:01	ga_ls7e_ard_3-0-0_099079_2006-03-06_final
2006-04-07 09:59:35	ga_ls7e_ard_3-0-0_099068_2006-04-07_final
2006-06-14 11:16:05	ga_ls7e_ard_3-0-0_111074_2006-06-14_final
2006-09-01 08:56:45	ga_ls7e_ard_3-0-0_088082_2006-08-31_final
2006-11-27 09:01:22	ga_ls7e_ard_3-0-0_089077_2006-11-26_final
2007-01-30 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-01-30_final
2007-01-31 09:40:55	ga_ls7e_ard_3-0-0_096067_2007-01-31_final
2007-08-08 09:16:57	ga_ls7e_ard_3-0-0_091085_2007-08-07_final
2007-10-29 09:02:52	ga_ls7e_ard_3-1-0_089081_2007-10-28_final
2008-01-05 10:13:26	ga_ls7e_ard_3-0-0_101071_2008-01-05_final
2008-05-09 11:19:30	ga_ls7e_ard_3-0-0_112067_2008-05-09_final
2008-07-16 09:22:50	ga_ls7e_ard_3-0-0_092086_2008-07-15_final
2008-08-13 11:18:39	ga_ls7e_ard_3-0-0_112067_2008-08-13_final
2009-03-24 10:40:01	ga_ls7e_ard_3-0-0_105076_2009-03-24_final
2009-06-30 10:29:49	ga_ls7e_ard_3-0-0_103081_2009-06-30_final
2009-07-31 11:19:43	ga_ls7e_ard_3-0-0_112067_2009-07-31_final
2009-08-16 11:19:38	ga_ls7e_ard_3-0-0_112067_2009-08-16_final
2009-11-06 09:31:30	ga_ls7e_ard_3-0-0_094074_2009-11-06_final
2010-04-03 09:09:42	ga_ls7e_ard_3-0-0_090077_2010-04-02_final
2010-05-08 11:17:51	ga_ls7e_ard_3-0-0_111073_2010-05-08_final
2010-11-28 10:06:00	ga_ls7e_ard_3-0-0_099077_2010-11-28_final
2011-06-18 10:43:22	ga_ls7e_ard_3-0-0_105076_2011-06-18_final
2011-12-22 10:27:10	ga_ls7e_ard_3-0-0_102081_2011-12-22_final
2012-08-30 10:48:04	ga_ls7e_ard_3-0-0_106068_2012-08-30_final
2013-02-09 09:40:37	ga_ls7e_ard_3-0-0_095067_2013-02-09_final
2013-02-25 09:48:32	ga_ls7e_ard_3-0-0_095087_2013-02-25_final
2014-01-12 10:29:45	ga_ls7e_ard_3-0-0_102081_2014-01-12_final
2014-01-14 10:18:38	ga_ls7e_ard_3-0-0_100084_2014-01-14_final
2014-06-15 09:31:15	ga_ls7e_ard_3-0-0_092087_2014-06-15_final
2015-08-06 11:52:13	ga_ls7e_ard_3-0-0_115078_2015-08-06_final
2015-09-08 10:52:40	ga_ls7e_ard_3-0-0_106068_2015-09-08_final
2015-11-15 10:33:58	ga_ls7e_ard_3-0-0_102081_2015-11-15_final
2016-05-04 10:15:54	ga_ls7e_ard_3-0-0_099078_2016-05-04_final
2016-10-28 10:58:40	ga_ls7e_ard_3-0-0_106076_2016-10-28_final
2017-04-18 11:20:40	ga_ls7e_ard_3-0-0_110070_2017-04-18_final
2017-06-28 09:49:03	ga_ls7e_ard_3-0-0_095072_2017-06-28_final
2017-06-30 11:16:23	ga_ls7e_ard_3-0-0_109074_2017-06-30_final
2018-03-02 11:30:50	ga_ls7e_ard_3-0-0_112067_2018-03-02_final
2018-05-21 11:29:36	ga_ls7e_ard_3-0-0_112067_2018-05-21_final
2019-04-18 10:11:28	ga_ls7e_ard_3-0-0_100078_2019-04-18_final
2019-04-24 11:11:51	ga_ls7e_ard_3-0-0_110075_2019-04-24_final
2019-06-26 10:25:03	ga_ls7e_ard_3-0-0_103072_2019-06-26_final
2019-08-27 10:36:31	ga_ls7e_ard_3-1-0_105076_2019-08-27_final
2020-06-20 09:18:11	ga_ls7e_ard_3-1-0_095073_2020-06-19_final
2020-08-07 09:12:52	ga_ls7e_ard_3-1-0_095067_2020-08-06_final
2020-12-29 09:03:06	ga_ls7e_ard_3-1-0_095067_2020-12-28_final
2021-04-19 09:56:12	ga_ls7e_ard_3-2-0_104082_2021-04-19_final
2021-06-27 08:32:54	ga_ls7e_ard_3-2-0_091089_2021-06-26_final
2022-01-21 09:45:13	ga_ls7e_ard_3-2-1_107070_2022-01-21_final
2022-02-09 10:19:01	ga_ls7e_ard_3-2-1_112082_2022-02-09_final
2022-03-12 09:30:18	ga_ls7e_ard_3-2-1_105076_2022-03-12_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