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

50 results

Time (local)	Label
1999-07-24 11:00:45	ga_ls7e_ard_3-1-0_108075_1999-07-24_final
2000-03-11 11:08:18	ga_ls7e_ard_3-0-0_109079_2000-03-11_final
2000-04-27 10:20:47	ga_ls7e_ard_3-0-0_102069_2000-04-27_final
2001-02-05 09:10:43	ga_ls7e_ard_3-0-0_090084_2001-02-04_final
2001-04-21 10:26:45	ga_ls7e_ard_3-0-0_103074_2001-04-21_final
2001-07-16 11:31:23	ga_ls7e_ard_3-0-0_113083_2001-07-16_final
2002-07-09 10:49:46	ga_ls7e_ard_3-0-0_107074_2002-07-09_final
2004-09-03 11:20:59	ga_ls7e_ard_3-0-0_112074_2004-09-03_final
2004-11-18 10:08:15	ga_ls7e_ard_3-0-0_100077_2004-11-18_final
2004-12-17 09:39:13	ga_ls7e_ard_3-0-0_095081_2004-12-17_final
2004-12-25 10:28:44	ga_ls7e_ard_3-0-0_103081_2004-12-25_final
2006-01-06 10:18:16	ga_ls7e_ard_3-0-0_102069_2006-01-06_final
2007-11-24 09:37:23	ga_ls7e_ard_3-0-0_095074_2007-11-24_final
2008-01-25 09:50:42	ga_ls7e_ard_3-1-0_097076_2008-01-25_final
2008-03-29 09:54:06	ga_ls7e_ard_3-0-0_097085_2008-03-29_final
2008-06-03 11:16:44	ga_ls7e_ard_3-0-0_111076_2008-06-03_final
2009-07-03 10:59:07	ga_ls7e_ard_3-0-0_108077_2009-07-03_final
2009-08-05 10:03:44	ga_ls7e_ard_3-0-0_099078_2009-08-05_final
2009-11-27 09:48:19	ga_ls7e_ard_3-0-0_097069_2009-11-27_final
2009-12-16 10:24:16	ga_ls7e_ard_3-0-0_102081_2009-12-16_final
2010-02-23 09:03:42	ga_ls7e_ard_3-0-0_089078_2010-02-22_final
2011-02-06 09:32:14	ga_ls7e_ard_3-0-0_093084_2011-02-06_final
2011-03-24 09:40:22	ga_ls7e_ard_3-1-0_095073_2011-03-24_final
2011-10-18 09:41:18	ga_ls7e_ard_3-0-0_095076_2011-10-18_final
2011-10-24 10:42:21	ga_ls7e_ard_3-0-0_105074_2011-10-24_final
2012-08-23 09:06:55	ga_ls7e_ard_3-0-0_089078_2012-08-22_final
2012-10-08 09:22:54	ga_ls7e_ard_3-1-0_091086_2012-10-07_final
2013-08-24 09:23:03	ga_ls7e_ard_3-0-0_091087_2013-08-23_final
2013-09-02 09:17:47	ga_ls7e_ard_3-0-0_090089_2013-09-01_final
2015-02-27 11:51:39	ga_ls7e_ard_3-0-0_115079_2015-02-27_final
2016-07-10 10:46:34	ga_ls7e_ard_3-0-0_104077_2016-07-10_final
2016-10-03 11:07:43	ga_ls7e_ard_3-0-0_107083_2016-10-03_final
2017-03-18 10:29:16	ga_ls7e_ard_3-0-0_101081_2017-03-18_final
2018-01-05 10:48:08	ga_ls7e_ard_3-0-0_104082_2018-01-05_final
2018-02-10 10:21:16	ga_ls7e_ard_3-0-0_100078_2018-02-10_final
2018-03-20 09:39:22	ga_ls7e_ard_3-1-0_094067_2018-03-20_final
2018-12-16 10:35:08	ga_ls7e_ard_3-0-0_103081_2018-12-16_final
2019-04-05 10:39:39	ga_ls7e_ard_3-0-0_105070_2019-04-05_final
2019-08-16 10:58:43	ga_ls7e_ard_3-0-0_108084_2019-08-16_final
2019-09-03 10:40:00	ga_ls7e_ard_3-1-0_106070_2019-09-03_final
2019-09-08 09:26:13	ga_ls7e_ard_3-1-0_093087_2019-09-07_final
2020-01-16 09:07:25	ga_ls7e_ard_3-1-0_091086_2020-01-15_final
2020-09-03 10:33:51	ga_ls7e_ard_3-1-0_108073_2020-09-03_final
2020-10-04 09:50:34	ga_ls7e_ard_3-1-0_101078_2020-10-04_final
2020-11-22 10:28:33	ga_ls7e_ard_3-1-0_108073_2020-11-22_final
2021-03-03 09:00:49	ga_ls7e_ard_3-2-0_095073_2021-03-02_final
2021-04-17 10:09:08	ga_ls7e_ard_3-2-0_106083_2021-04-17_final
2021-06-19 09:15:25	ga_ls7e_ard_3-2-0_099070_2021-06-18_final
2021-09-11 08:44:38	ga_ls7e_ard_3-2-0_095073_2021-09-10_final
2022-03-23 09:07:54	ga_ls7e_ard_3-2-1_102069_2022-03-22_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