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

56 results

Time (local)	Label
1999-06-30 10:11:35	ga_ls7e_ard_3-0-0_100076_1999-06-30_final
2002-11-17 09:39:47	ga_ls7e_ard_3-0-0_096070_2002-11-17_final
2003-03-31 10:41:30	ga_ls7e_ard_3-0-0_106068_2003-03-31_final
2003-08-31 10:37:45	ga_ls7e_ard_3-0-0_105075_2003-08-31_final
2003-10-23 09:22:10	ga_ls7e_ard_3-0-0_092087_2003-10-22_final
2004-01-28 09:59:47	ga_ls7e_ard_3-0-0_099071_2004-01-28_final
2004-11-13 11:30:34	ga_ls7e_ard_3-0-0_113082_2004-11-13_final
2005-03-20 10:42:53	ga_ls7e_ard_3-0-0_106069_2005-03-20_final
2005-11-12 10:14:08	ga_ls7e_ard_3-1-0_101075_2005-11-12_final
2006-03-16 09:06:36	ga_ls7e_ard_3-0-0_089090_2006-03-15_final
2006-04-21 10:15:53	ga_ls7e_ard_3-0-0_101078_2006-04-21_final
2006-08-01 11:18:34	ga_ls7e_ard_3-0-0_111081_2006-08-01_final
2007-03-27 09:48:06	ga_ls7e_ard_3-0-0_097069_2007-03-27_final
2007-09-14 11:06:56	ga_ls7e_ard_3-0-0_110067_2007-09-14_final
2007-12-22 10:04:15	ga_ls7e_ard_3-0-0_099079_2007-12-22_final
2009-01-21 10:25:34	ga_ls7e_ard_3-0-0_103072_2009-01-21_final
2009-04-24 09:54:08	ga_ls7e_ard_3-0-0_098069_2009-04-24_final
2009-08-14 11:35:59	ga_ls7e_ard_3-0-0_114077_2009-08-14_final
2009-10-12 11:16:58	ga_ls7e_ard_3-0-0_111076_2009-10-12_final
2009-10-15 10:07:02	ga_ls7e_ard_3-0-0_100071_2009-10-15_final
2010-02-12 09:26:31	ga_ls7e_ard_3-0-0_092089_2010-02-11_final
2011-11-14 09:27:48	ga_ls7e_ard_3-0-0_092088_2011-11-13_final
2012-01-15 09:36:15	ga_ls7e_ard_3-0-0_094077_2012-01-15_final
2013-01-08 09:45:45	ga_ls7e_ard_3-0-0_095080_2013-01-08_final
2013-03-29 11:26:07	ga_ls7e_ard_3-0-0_111084_2013-03-29_final
2013-08-20 11:19:02	ga_ls7e_ard_3-0-0_111068_2013-08-20_final
2014-01-10 09:03:34	ga_ls7e_ard_3-0-0_088082_2014-01-09_final
2014-05-20 10:27:49	ga_ls7e_ard_3-0-0_102074_2014-05-20_final
2014-09-24 09:44:57	ga_ls7e_ard_3-0-0_095074_2014-09-24_final
2015-01-15 10:28:14	ga_ls7e_ard_3-0-0_102072_2015-01-15_final
2015-02-13 10:02:12	ga_ls7e_ard_3-0-0_097084_2015-02-13_final
2015-07-19 10:26:49	ga_ls7e_ard_3-0-0_101081_2015-07-19_final
2015-07-21 10:10:52	ga_ls7e_ard_3-0-0_099072_2015-07-21_final
2016-06-21 10:16:05	ga_ls7e_ard_3-0-0_099078_2016-06-21_final
2016-10-10 09:31:49	ga_ls7e_ard_3-0-0_092075_2016-10-10_final
2017-05-15 11:04:39	ga_ls7e_ard_3-0-0_107076_2017-05-15_final
2017-06-14 11:17:08	ga_ls7e_ard_3-0-0_109076_2017-06-14_final
2017-11-10 11:32:05	ga_ls7e_ard_3-0-0_112067_2017-11-10_final
2017-11-20 10:32:38	ga_ls7e_ard_3-1-0_102073_2017-11-20_final
2017-12-02 10:58:04	ga_ls7e_ard_3-1-0_106075_2017-12-02_final
2018-05-14 11:25:55	ga_ls7e_ard_3-0-0_111073_2018-05-14_final
2018-09-15 10:13:02	ga_ls7e_ard_3-0-0_099082_2018-09-15_final
2018-10-18 10:55:30	ga_ls7e_ard_3-0-0_106082_2018-10-18_final
2019-01-25 09:46:27	ga_ls7e_ard_3-0-0_095086_2019-01-25_final
2019-02-05 11:01:40	ga_ls7e_ard_3-0-0_108074_2019-02-05_final
2019-02-21 11:03:59	ga_ls7e_ard_3-1-0_108081_2019-02-21_final
2019-05-11 10:15:35	ga_ls7e_ard_3-1-0_101075_2019-05-11_final
2019-06-04 11:03:44	ga_ls7e_ard_3-0-0_109074_2019-06-04_final
2019-07-17 10:45:59	ga_ls7e_ard_3-0-0_106080_2019-07-17_final
2019-08-05 09:34:02	ga_ls7e_ard_3-0-0_095072_2019-08-05_final
2019-11-28 10:01:55	ga_ls7e_ard_3-1-0_100077_2019-11-28_final
2020-04-10 10:57:54	ga_ls7e_ard_3-1-0_110080_2020-04-10_final
2020-08-18 08:59:12	ga_ls7e_ard_3-1-0_092081_2020-08-17_final
2021-07-15 09:52:42	ga_ls7e_ard_3-2-0_105076_2021-07-15_final
2021-08-07 09:54:29	ga_ls7e_ard_3-2-0_106070_2021-08-07_final
2022-03-12 07:52:13	ga_ls7e_ard_3-2-1_089078_2022-03-11_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