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

45 results

Time (local)	Label
1999-07-16 10:12:06	ga_ls7e_ard_3-0-0_100077_1999-07-16_final
1999-10-01 11:19:30	ga_ls7e_ard_3-0-0_111075_1999-10-01_final
1999-10-12 11:00:34	ga_ls7e_ard_3-0-0_108074_1999-10-12_final
2001-07-13 09:22:25	ga_ls7e_ard_3-0-0_092085_2001-07-12_final
2001-12-04 10:56:01	ga_ls7e_ard_3-0-0_108074_2001-12-04_final
2002-12-03 11:20:31	ga_ls7e_ard_3-0-0_112074_2002-12-03_final
2003-05-01 10:04:41	ga_ls7e_ard_3-0-0_099084_2003-05-01_final
2004-10-21 11:18:11	ga_ls7e_ard_3-0-0_112067_2004-10-21_final
2004-11-04 09:56:14	ga_ls7e_ard_3-0-0_098078_2004-11-04_final
2005-06-24 10:45:24	ga_ls7e_ard_3-0-0_106076_2005-06-24_final
2005-10-12 09:18:08	ga_ls7e_ard_3-0-0_092075_2005-10-11_final
2005-11-30 10:03:54	ga_ls7e_ard_3-0-0_099080_2005-11-30_final
2006-03-22 09:59:37	ga_ls7e_ard_3-0-0_099068_2006-03-22_final
2006-12-03 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-12-03_final
2006-12-04 10:45:41	ga_ls7e_ard_3-1-0_106075_2006-12-04_final
2007-01-03 09:22:28	ga_ls7e_ard_3-0-0_092083_2007-01-02_final
2007-06-28 09:24:30	ga_ls7e_ard_3-0-0_092088_2007-06-27_final
2008-02-13 10:19:09	ga_ls7e_ard_3-0-0_102070_2008-02-13_final
2008-04-04 09:17:25	ga_ls7e_ard_3-1-0_091086_2008-04-03_final
2008-06-09 09:01:31	ga_ls7e_ard_3-0-0_089078_2008-06-08_final
2008-08-09 10:08:30	ga_ls7e_ard_3-0-0_100077_2008-08-09_final
2009-01-14 10:17:46	ga_ls7e_ard_3-0-0_102068_2009-01-14_final
2010-04-02 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-02_final
2010-08-27 10:33:05	ga_ls7e_ard_3-0-0_104069_2010-08-27_final
2010-11-14 09:51:04	ga_ls7e_ard_3-0-0_097071_2010-11-14_final
2011-01-09 10:42:15	ga_ls7e_ard_3-0-0_105074_2011-01-09_final
2011-11-02 09:00:29	ga_ls7e_ard_3-0-0_088082_2011-11-01_final
2011-11-28 09:39:31	ga_ls7e_ard_3-0-0_094086_2011-11-28_final
2012-03-13 10:13:48	ga_ls7e_ard_3-0-0_100078_2012-03-13_final
2012-03-26 09:38:32	ga_ls7e_ard_3-0-0_095067_2012-03-26_final
2012-09-05 10:14:39	ga_ls7e_ard_3-0-0_100077_2012-09-05_final
2013-08-26 09:11:30	ga_ls7e_ard_3-0-0_089089_2013-08-25_final
2014-01-30 10:13:45	ga_ls7e_ard_3-0-0_100071_2014-01-30_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2015-05-28 10:49:16	ga_ls7e_ard_3-0-0_105076_2015-05-28_final
2015-08-19 09:40:28	ga_ls7e_ard_3-0-0_094073_2015-08-19_final
2017-01-12 11:24:05	ga_ls7e_ard_3-0-0_110079_2017-01-12_final
2017-07-26 10:16:10	ga_ls7e_ard_3-0-0_099078_2017-07-26_final
2018-02-19 10:15:00	ga_ls7e_ard_3-0-0_099078_2018-02-19_final
2018-05-10 10:13:49	ga_ls7e_ard_3-0-0_099078_2018-05-10_final
2018-07-21 11:00:47	ga_ls7e_ard_3-0-0_107075_2018-07-21_final
2019-01-21 10:04:32	ga_ls7e_ard_3-0-0_099069_2019-01-21_final
2019-10-21 10:40:20	ga_ls7e_ard_3-1-0_106076_2019-10-21_final
2021-03-29 09:39:25	ga_ls7e_ard_3-2-0_101082_2021-03-29_final
2022-01-26 08:28:47	ga_ls7e_ard_3-2-1_094081_2022-01-25_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