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
1999-12-26 09:04:57	ga_ls7e_ard_3-0-0_089079_1999-12-25_final
2001-01-26 10:09:49	ga_ls7e_ard_3-0-0_100077_2001-01-26_final
2003-02-05 11:24:52	ga_ls7e_ard_3-0-0_112084_2003-02-05_final
2004-03-04 11:12:28	ga_ls7e_ard_3-0-0_111067_2004-03-04_final
2004-11-23 10:24:04	ga_ls7e_ard_3-0-0_103070_2004-11-23_final
2005-02-24 09:53:24	ga_ls7e_ard_3-0-0_098069_2005-02-24_final
2005-11-29 09:23:25	ga_ls7e_ard_3-0-0_092087_2005-11-28_final
2006-01-03 09:47:44	ga_ls7e_ard_3-0-0_097070_2006-01-03_final
2006-04-18 11:26:15	ga_ls7e_ard_3-0-0_112084_2006-04-18_final
2006-11-26 11:31:53	ga_ls7e_ard_3-0-0_114067_2006-11-26_final
2007-01-16 10:30:03	ga_ls7e_ard_3-1-0_103082_2007-01-16_final
2007-11-08 11:15:44	ga_ls7e_ard_3-0-0_111073_2007-11-08_final
2007-12-06 10:00:59	ga_ls7e_ard_3-0-0_099071_2007-12-06_final
2007-12-15 11:32:08	ga_ls7e_ard_3-0-0_114067_2007-12-15_final
2007-12-22 10:01:51	ga_ls7e_ard_3-0-0_099073_2007-12-22_final
2008-12-24 09:58:42	ga_ls7e_ard_3-0-0_099067_2008-12-24_final
2009-03-22 10:52:46	ga_ls7e_ard_3-0-0_107077_2009-03-22_final
2010-09-23 10:20:09	ga_ls7e_ard_3-0-0_101083_2010-09-23_final
2010-10-20 09:56:58	ga_ls7e_ard_3-0-0_098071_2010-10-20_final
2010-11-30 09:50:28	ga_ls7e_ard_3-0-0_097069_2010-11-30_final
2011-12-17 10:03:21	ga_ls7e_ard_3-0-0_099068_2011-12-17_final
2012-01-30 10:33:04	ga_ls7e_ard_3-0-0_103080_2012-01-30_final
2012-02-16 09:34:45	ga_ls7e_ard_3-0-0_094073_2012-02-16_final
2012-06-07 11:17:01	ga_ls7e_ard_3-0-0_110081_2012-06-07_final
2012-08-29 10:08:46	ga_ls7e_ard_3-0-0_099078_2012-08-29_final
2012-10-13 11:12:48	ga_ls7e_ard_3-0-0_110067_2012-10-13_final
2014-01-04 09:34:40	ga_ls7e_ard_3-1-0_094067_2014-01-04_final
2014-01-19 10:36:05	ga_ls7e_ard_3-0-0_103081_2014-01-19_final
2015-11-30 09:52:06	ga_ls7e_ard_3-0-0_095084_2015-11-30_final
2016-03-10 10:06:12	ga_ls7e_ard_3-0-0_098070_2016-03-10_final
2016-10-25 10:30:11	ga_ls7e_ard_3-0-0_101082_2016-10-25_final
2018-04-05 09:39:08	ga_ls7e_ard_3-0-0_094067_2018-04-05_final
2018-04-08 10:13:35	ga_ls7e_ard_3-0-0_099076_2018-04-08_final
2018-07-27 10:24:24	ga_ls7e_ard_3-0-0_101077_2018-07-27_final
2018-11-02 10:11:08	ga_ls7e_ard_3-0-0_099080_2018-11-02_final
2019-04-16 10:25:06	ga_ls7e_ard_3-0-0_102081_2019-04-16_final
2019-07-06 09:25:40	ga_ls7e_ard_3-0-0_093079_2019-07-05_final
2019-08-17 10:02:39	ga_ls7e_ard_3-0-0_099083_2019-08-17_final
2019-10-13 11:26:32	ga_ls7e_ard_3-1-0_114067_2019-10-13_final
2019-10-24 09:31:02	ga_ls7e_ard_3-1-0_095073_2019-10-24_final
2020-07-02 09:41:48	ga_ls7e_ard_3-1-0_099072_2020-07-02_final
2020-12-20 09:09:55	ga_ls7e_ard_3-1-0_096067_2020-12-19_final
2021-01-23 08:55:10	ga_ls7e_ard_3-2-0_094067_2021-01-22_final
2021-03-12 08:51:32	ga_ls7e_ard_3-2-0_094067_2021-03-11_final
2021-09-19 09:34:34	ga_ls7e_ard_3-2-0_103076_2021-09-19_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