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

44 results

Time (local)	Label
2000-08-27 10:56:54	ga_ls7e_ard_3-0-0_108070_2000-08-27_final
2001-06-08 10:25:29	ga_ls7e_ard_3-0-0_103072_2001-06-08_final
2002-02-23 09:58:49	ga_ls7e_ard_3-0-0_099069_2002-02-23_final
2004-05-05 09:47:09	ga_ls7e_ard_3-0-0_097070_2004-05-05_final
2004-07-20 10:14:25	ga_ls7e_ard_3-0-0_101077_2004-07-20_final
2004-11-03 09:16:57	ga_ls7e_ard_3-0-0_091088_2004-11-02_final
2005-03-13 09:02:37	ga_ls7e_ard_3-1-0_089081_2005-03-12_final
2005-04-03 10:56:00	ga_ls7e_ard_3-0-0_108071_2005-04-03_final
2005-10-21 09:13:17	ga_ls7e_ard_3-0-0_091078_2005-10-20_final
2006-02-21 08:57:13	ga_ls7e_ard_3-0-0_088082_2006-02-20_final
2006-07-06 09:03:59	ga_ls7e_ard_3-0-0_089084_2006-07-05_final
2007-11-19 09:24:48	ga_ls7e_ard_3-0-0_092089_2007-11-18_final
2008-03-21 09:01:52	ga_ls7e_ard_3-0-0_089078_2008-03-20_final
2009-10-24 10:04:12	ga_ls7e_ard_3-0-0_099079_2009-10-24_final
2009-11-23 10:16:11	ga_ls7e_ard_3-0-0_101077_2009-11-23_final
2010-08-25 10:49:50	ga_ls7e_ard_3-0-0_106080_2010-08-25_final
2010-10-22 09:45:26	ga_ls7e_ard_3-0-0_096073_2010-10-22_final
2011-05-02 09:50:59	ga_ls7e_ard_3-0-0_096084_2011-05-02_final
2012-02-26 10:12:14	ga_ls7e_ard_3-0-0_100074_2012-02-26_final
2012-03-26 09:38:32	ga_ls7e_ard_3-0-0_095067_2012-03-26_final
2012-04-16 11:41:05	ga_ls7e_ard_3-0-0_114080_2012-04-16_final
2012-06-19 10:02:11	ga_ls7e_ard_3-0-0_098079_2012-06-19_final
2012-07-27 09:25:57	ga_ls7e_ard_3-0-0_092080_2012-07-26_final
2012-12-07 11:23:41	ga_ls7e_ard_3-0-0_111078_2012-12-07_final
2013-09-27 10:44:45	ga_ls7e_ard_3-0-0_105074_2013-09-27_final
2013-12-19 09:37:21	ga_ls7e_ard_3-0-0_094074_2013-12-19_final
2014-10-07 09:20:13	ga_ls7e_ard_3-0-0_090089_2014-10-06_final
2014-11-01 09:11:05	ga_ls7e_ard_3-1-0_089081_2014-10-31_final
2014-11-15 09:27:07	ga_ls7e_ard_3-0-0_091090_2014-11-14_final
2015-01-20 10:45:09	ga_ls7e_ard_3-0-0_105068_2015-01-20_final
2015-06-19 10:12:44	ga_ls7e_ard_3-0-0_099077_2015-06-19_final
2017-06-22 10:27:43	ga_ls7e_ard_3-0-0_101076_2017-06-22_final
2017-07-07 11:22:34	ga_ls7e_ard_3-0-0_110074_2017-07-07_final
2017-07-22 10:42:05	ga_ls7e_ard_3-0-0_103081_2017-07-22_final
2018-04-24 11:51:48	ga_ls7e_ard_3-0-0_115075_2018-04-24_final
2018-11-02 11:49:37	ga_ls7e_ard_3-0-0_115079_2018-11-02_final
2018-11-11 10:03:33	ga_ls7e_ard_3-0-0_098077_2018-11-11_final
2018-12-10 09:31:07	ga_ls7e_ard_3-0-0_093075_2018-12-10_final
2019-04-24 11:12:15	ga_ls7e_ard_3-0-0_110076_2019-04-24_final
2020-07-04 09:31:42	ga_ls7e_ard_3-1-0_097078_2020-07-04_final
2020-08-20 08:47:07	ga_ls7e_ard_3-1-0_090082_2020-08-19_final
2020-11-05 09:45:41	ga_ls7e_ard_3-1-0_101071_2020-11-05_final
2021-06-16 10:28:49	ga_ls7e_ard_3-2-0_110083_2021-06-16_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years