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

51 results

Time (local)	Label
1999-11-14 10:06:24	ga_ls7e_ard_3-0-0_099078_1999-11-14_final
1999-12-24 09:16:33	ga_ls7e_ard_3-0-0_091077_1999-12-23_final
2001-06-25 11:09:17	ga_ls7e_ard_3-0-0_110074_2001-06-25_final
2003-09-28 11:02:19	ga_ls7e_ard_3-0-0_109075_2003-09-28_final
2003-11-26 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-11-26_final
2004-03-07 10:08:30	ga_ls7e_ard_3-0-0_100077_2004-03-07_final
2004-08-10 10:30:02	ga_ls7e_ard_3-1-0_104070_2004-08-10_final
2004-10-16 11:02:21	ga_ls7e_ard_3-0-0_109074_2004-10-16_final
2005-06-08 10:45:29	ga_ls7e_ard_3-0-0_106076_2005-06-08_final
2005-06-13 11:03:11	ga_ls7e_ard_3-0-0_109074_2005-06-13_final
2006-02-22 11:16:10	ga_ls7e_ard_3-0-0_111074_2006-02-22_final
2006-03-08 09:49:40	ga_ls7e_ard_3-0-0_097074_2006-03-08_final
2006-09-03 10:22:52	ga_ls7e_ard_3-0-0_102081_2006-09-03_final
2007-01-02 10:14:30	ga_ls7e_ard_3-0-0_101074_2007-01-02_final
2007-02-28 10:09:47	ga_ls7e_ard_3-0-0_100077_2007-02-28_final
2007-04-30 09:42:03	ga_ls7e_ard_3-0-0_095085_2007-04-30_final
2007-05-25 09:36:30	ga_ls7e_ard_3-0-0_094087_2007-05-25_final
2007-11-20 10:03:17	ga_ls7e_ard_3-0-0_099077_2007-11-20_final
2008-01-01 10:40:09	ga_ls7e_ard_3-0-0_105076_2008-01-01_final
2008-03-18 10:09:26	ga_ls7e_ard_3-0-0_100077_2008-03-18_final
2008-07-08 10:06:47	ga_ls7e_ard_3-0-0_100072_2008-07-08_final
2008-09-17 10:16:22	ga_ls7e_ard_3-0-0_101082_2008-09-17_final
2008-12-24 10:03:05	ga_ls7e_ard_3-0-0_099078_2008-12-24_final
2009-01-16 10:07:00	ga_ls7e_ard_3-0-0_100072_2009-01-16_final
2009-06-18 09:59:33	ga_ls7e_ard_3-0-0_099067_2009-06-18_final
2009-09-10 11:16:15	ga_ls7e_ard_3-0-0_111074_2009-09-10_final
2010-04-02 10:05:19	ga_ls7e_ard_3-0-0_099077_2010-04-02_final
2010-06-22 09:14:03	ga_ls7e_ard_3-0-0_090088_2010-06-21_final
2012-02-05 11:29:44	ga_ls7e_ard_3-0-0_113067_2012-02-05_final
2012-05-26 10:52:56	ga_ls7e_ard_3-0-0_106082_2012-05-26_final
2012-08-16 10:41:10	ga_ls7e_ard_3-0-0_104082_2012-08-16_final
2013-08-08 09:22:53	ga_ls7e_ard_3-0-0_091087_2013-08-07_final
2014-05-23 09:25:26	ga_ls7e_ard_3-0-0_091088_2014-05-22_final
2015-04-11 11:33:51	ga_ls7e_ard_3-0-0_112080_2015-04-11_final
2016-03-14 11:21:59	ga_ls7e_ard_3-0-0_110074_2016-03-14_final
2017-05-07 10:15:35	ga_ls7e_ard_3-0-0_099077_2017-05-07_final
2017-09-16 09:54:34	ga_ls7e_ard_3-0-0_095086_2017-09-16_final
2017-12-10 10:12:09	ga_ls7e_ard_3-0-0_098084_2017-12-10_final
2018-01-07 10:35:20	ga_ls7e_ard_3-0-0_102081_2018-01-07_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2018-05-27 10:55:37	ga_ls7e_ard_3-1-0_106075_2018-05-27_final
2019-02-06 10:03:38	ga_ls7e_ard_3-0-0_099068_2019-02-06_final
2019-05-04 10:10:29	ga_ls7e_ard_3-0-0_100077_2019-05-04_final
2020-05-20 10:06:28	ga_ls7e_ard_3-1-0_102081_2020-05-20_final
2020-06-11 09:25:18	ga_ls7e_ard_3-1-0_096074_2020-06-10_final
2021-02-14 10:01:20	ga_ls7e_ard_3-2-0_104082_2021-02-14_final
2021-07-28 09:23:52	ga_ls7e_ard_3-2-0_100084_2021-07-27_final
2021-09-01 09:45:43	ga_ls7e_ard_3-2-0_105069_2021-09-01_final
2021-09-03 09:37:58	ga_ls7e_ard_3-2-0_103081_2021-09-03_final
2021-11-03 09:02:48	ga_ls7e_ard_3-2-0_098084_2021-11-02_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_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