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
1999-08-17 10:12:09	ga_ls7e_ard_3-0-0_100077_1999-08-17_final
2000-09-13 10:04:33	ga_ls7e_ard_3-0-0_099079_2000-09-13_final
2001-11-21 11:30:10	ga_ls7e_ard_3-0-0_113082_2001-11-21_final
2001-12-26 10:18:21	ga_ls7e_ard_3-0-0_102072_2001-12-26_final
2002-10-21 09:58:54	ga_ls7e_ard_3-0-0_099072_2002-10-21_final
2003-04-24 09:56:28	ga_ls7e_ard_3-0-0_098079_2003-04-24_final
2003-04-28 11:08:40	ga_ls7e_ard_3-0-0_110074_2003-04-28_final
2004-06-01 11:09:50	ga_ls7e_ard_3-0-0_110076_2004-06-01_final
2004-07-21 09:22:23	ga_ls7e_ard_3-0-0_092086_2004-07-20_final
2005-01-12 10:17:16	ga_ls7e_ard_3-0-0_101083_2005-01-12_final
2005-03-04 10:45:16	ga_ls7e_ard_3-1-0_106075_2005-03-04_final
2005-04-01 11:10:45	ga_ls7e_ard_3-0-0_110077_2005-04-01_final
2005-04-21 09:07:01	ga_ls7e_ard_3-0-0_090077_2005-04-20_final
2005-06-15 09:17:07	ga_ls7e_ard_3-0-0_091087_2005-06-14_final
2005-06-24 10:42:12	ga_ls7e_ard_3-0-0_106068_2005-06-24_final
2006-03-15 09:59:50	ga_ls7e_ard_3-0-0_098084_2006-03-15_final
2006-08-29 10:02:45	ga_ls7e_ard_3-0-0_099077_2006-08-29_final
2006-10-28 10:29:31	ga_ls7e_ard_3-0-0_103082_2006-10-28_final
2007-03-26 10:44:31	ga_ls7e_ard_3-0-0_106071_2007-03-26_final
2007-05-16 09:42:21	ga_ls7e_ard_3-0-0_095086_2007-05-16_final
2007-09-01 11:42:19	ga_ls7e_ard_3-0-0_115078_2007-09-01_final
2007-09-04 10:35:54	ga_ls7e_ard_3-0-0_104082_2007-09-04_final
2007-09-25 10:53:08	ga_ls7e_ard_3-0-0_107079_2007-09-25_final
2007-09-29 10:29:35	ga_ls7e_ard_3-0-0_103082_2007-09-29_final
2007-10-09 11:03:49	ga_ls7e_ard_3-0-0_109075_2007-10-09_final
2008-01-29 11:04:27	ga_ls7e_ard_3-0-0_109075_2008-01-29_final
2008-10-22 10:41:35	ga_ls7e_ard_3-0-0_106068_2008-10-22_final
2008-11-10 09:40:16	ga_ls7e_ard_3-0-0_095084_2008-11-10_final
2008-12-17 11:34:56	ga_ls7e_ard_3-0-0_114076_2008-12-17_final
2009-02-02 10:50:45	ga_ls7e_ard_3-0-0_107073_2009-02-02_final
2009-06-18 10:05:56	ga_ls7e_ard_3-0-0_099083_2009-06-18_final
2010-01-24 10:31:05	ga_ls7e_ard_3-0-0_103081_2010-01-24_final
2010-07-26 10:32:39	ga_ls7e_ard_3-0-0_104068_2010-07-26_final
2011-11-11 10:27:46	ga_ls7e_ard_3-0-0_103068_2011-11-11_final
2014-01-16 10:06:19	ga_ls7e_ard_3-0-0_098084_2014-01-16_final
2014-10-18 10:37:27	ga_ls7e_ard_3-0-0_103081_2014-10-18_final
2015-01-09 11:10:06	ga_ls7e_ard_3-0-0_108084_2015-01-09_final
2015-02-27 10:11:10	ga_ls7e_ard_3-0-0_099075_2015-02-27_final
2016-01-19 11:19:24	ga_ls7e_ard_3-0-0_109084_2016-01-19_final
2016-03-30 11:22:28	ga_ls7e_ard_3-0-0_110075_2016-03-30_final
2017-03-09 10:31:00	ga_ls7e_ard_3-0-0_102070_2017-03-09_final
2018-01-13 09:59:22	ga_ls7e_ard_3-0-0_096084_2018-01-13_final
2018-09-26 11:27:08	ga_ls7e_ard_3-0-0_112067_2018-09-26_final
2018-12-17 11:19:34	ga_ls7e_ard_3-0-0_110084_2018-12-17_final
2019-01-04 11:03:05	ga_ls7e_ard_3-0-0_108075_2019-01-04_final
2019-10-30 08:56:05	ga_ls7e_ard_3-1-0_089079_2019-10-29_final
2020-06-20 10:58:16	ga_ls7e_ard_3-1-0_111076_2020-06-20_final
2020-07-18 09:39:37	ga_ls7e_ard_3-1-0_099069_2020-07-18_final
2020-08-29 10:16:02	ga_ls7e_ard_3-1-0_105074_2020-08-29_final
2021-01-09 08:52:11	ga_ls7e_ard_3-1-0_092088_2021-01-08_final
2021-04-26 09:59:24	ga_ls7e_ard_3-2-0_105076_2021-04-26_final
2021-07-17 09:42:34	ga_ls7e_ard_3-2-0_103082_2021-07-17_final
2021-08-05 08:33:43	ga_ls7e_ard_3-2-0_092084_2021-08-04_final
2021-08-07 09:56:28	ga_ls7e_ard_3-2-0_106075_2021-08-07_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_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