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

55 results

Time (local)	Label
1999-11-30 10:03:54	ga_ls7e_ard_3-0-0_099072_1999-11-30_final
2000-03-15 10:39:58	ga_ls7e_ard_3-0-0_105070_2000-03-15_final
2000-05-18 10:41:29	ga_ls7e_ard_3-0-0_105075_2000-05-18_final
2001-05-20 09:59:35	ga_ls7e_ard_3-0-0_098084_2001-05-20_final
2001-06-18 11:04:03	ga_ls7e_ard_3-0-0_109076_2001-06-18_final
2002-08-18 10:01:40	ga_ls7e_ard_3-0-0_099078_2002-08-18_final
2002-11-11 10:21:32	ga_ls7e_ard_3-0-0_102082_2002-11-11_final
2003-08-26 10:21:38	ga_ls7e_ard_3-0-0_102081_2003-08-26_final
2003-09-23 09:07:17	ga_ls7e_ard_3-0-0_090081_2003-09-22_final
2003-10-17 09:55:33	ga_ls7e_ard_3-0-0_098078_2003-10-17_final
2003-11-15 11:03:06	ga_ls7e_ard_3-0-0_109076_2003-11-15_final
2003-11-26 09:08:58	ga_ls7e_ard_3-0-0_090084_2003-11-25_final
2003-12-03 10:53:37	ga_ls7e_ard_3-0-0_107083_2003-12-03_final
2005-05-10 11:14:54	ga_ls7e_ard_3-0-0_111072_2005-05-10_final
2005-12-03 08:56:20	ga_ls7e_ard_3-0-0_088081_2005-12-02_final
2006-05-22 11:09:58	ga_ls7e_ard_3-0-0_110074_2006-05-22_final
2006-11-05 11:15:29	ga_ls7e_ard_3-0-0_111073_2006-11-05_final
2006-12-06 10:30:33	ga_ls7e_ard_3-0-0_104068_2006-12-06_final
2007-04-06 10:29:58	ga_ls7e_ard_3-0-0_103081_2007-04-06_final
2007-06-28 09:23:42	ga_ls7e_ard_3-0-0_092086_2007-06-27_final
2007-07-10 11:26:28	ga_ls7e_ard_3-0-0_112084_2007-07-10_final
2008-04-04 09:17:49	ga_ls7e_ard_3-0-0_091087_2008-04-03_final
2008-04-25 11:09:36	ga_ls7e_ard_3-0-0_110073_2008-04-25_final
2009-08-27 11:02:18	ga_ls7e_ard_3-0-0_109070_2009-08-27_final
2009-11-18 11:35:16	ga_ls7e_ard_3-0-0_114074_2009-11-18_final
2010-08-21 11:09:21	ga_ls7e_ard_3-0-0_110067_2010-08-21_final
2010-08-25 09:14:57	ga_ls7e_ard_3-0-0_090090_2010-08-24_final
2011-07-04 10:40:08	ga_ls7e_ard_3-0-0_105068_2011-07-04_final
2011-07-10 10:03:03	ga_ls7e_ard_3-0-0_099068_2011-07-10_final
2012-08-25 10:31:28	ga_ls7e_ard_3-0-0_103073_2012-08-25_final
2014-03-02 11:11:16	ga_ls7e_ard_3-0-0_109076_2014-03-02_final
2014-07-24 09:35:13	ga_ls7e_ard_3-0-0_093081_2014-07-24_final
2014-10-11 10:26:49	ga_ls7e_ard_3-0-0_102070_2014-10-11_final
2015-11-19 10:10:30	ga_ls7e_ard_3-0-0_098084_2015-11-19_final
2016-01-07 09:17:37	ga_ls7e_ard_3-1-0_089089_2016-01-06_final
2016-07-04 11:24:28	ga_ls7e_ard_3-0-0_110079_2016-07-04_final
2016-07-30 10:20:43	ga_ls7e_ard_3-0-0_100074_2016-07-30_final
2017-07-11 10:55:27	ga_ls7e_ard_3-0-0_106068_2017-07-11_final
2017-08-11 10:16:08	ga_ls7e_ard_3-0-0_099078_2017-08-11_final
2017-11-12 11:22:55	ga_ls7e_ard_3-0-0_110075_2017-11-12_final
2018-03-07 11:53:18	ga_ls7e_ard_3-1-0_115077_2018-03-07_final
2018-04-12 09:47:12	ga_ls7e_ard_3-0-0_095072_2018-04-12_final
2018-07-03 11:13:29	ga_ls7e_ard_3-0-0_109075_2018-07-03_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2018-08-24 09:12:30	ga_ls7e_ard_3-0-0_089084_2018-08-23_final
2018-11-13 11:28:49	ga_ls7e_ard_3-1-0_112074_2018-11-13_final
2018-11-26 10:56:00	ga_ls7e_ard_3-0-0_107070_2018-11-26_final
2018-12-04 10:05:58	ga_ls7e_ard_3-0-0_099069_2018-12-04_final
2019-03-14 11:22:40	ga_ls7e_ard_3-1-0_111083_2019-03-14_final
2019-08-30 11:06:53	ga_ls7e_ard_3-1-0_110075_2019-08-30_final
2020-12-02 09:27:38	ga_ls7e_ard_3-1-0_098077_2020-12-01_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-06-25 10:19:06	ga_ls7e_ard_3-2-0_109076_2021-06-25_final
2021-11-03 09:00:25	ga_ls7e_ard_3-2-0_098078_2021-11-02_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_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