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
2000-04-05 09:25:53	ga_ls7e_ard_3-0-0_092086_2000-04-04_final
2000-07-28 10:47:11	ga_ls7e_ard_3-0-0_106076_2000-07-28_final
2001-03-26 09:54:08	ga_ls7e_ard_3-0-0_097085_2001-03-26_final
2001-07-05 10:08:16	ga_ls7e_ard_3-0-0_100076_2001-07-05_final
2001-09-23 10:08:09	ga_ls7e_ard_3-0-0_100078_2001-09-23_final
2003-11-01 10:50:11	ga_ls7e_ard_3-0-0_107075_2003-11-01_final
2003-12-12 10:45:08	ga_ls7e_ard_3-0-0_106077_2003-12-12_final
2003-12-16 10:18:03	ga_ls7e_ard_3-0-0_102071_2003-12-16_final
2004-03-16 10:02:23	ga_ls7e_ard_3-0-0_099077_2004-03-16_final
2004-05-20 10:44:46	ga_ls7e_ard_3-1-0_106075_2004-05-20_final
2004-08-22 10:56:44	ga_ls7e_ard_3-0-0_108075_2004-08-22_final
2005-01-22 10:51:10	ga_ls7e_ard_3-0-0_107075_2005-01-22_final
2005-03-18 10:55:15	ga_ls7e_ard_3-0-0_108069_2005-03-18_final
2005-08-11 09:11:38	ga_ls7e_ard_3-0-0_090089_2005-08-10_final
2006-07-24 10:29:09	ga_ls7e_ard_3-0-0_103081_2006-07-24_final
2007-01-02 10:14:30	ga_ls7e_ard_3-0-0_101074_2007-01-02_final
2007-08-01 10:47:18	ga_ls7e_ard_3-0-0_106079_2007-08-01_final
2007-09-16 10:55:21	ga_ls7e_ard_3-0-0_108069_2007-09-16_final
2007-12-23 10:43:07	ga_ls7e_ard_3-0-0_106068_2007-12-23_final
2008-07-07 09:27:08	ga_ls7e_ard_3-0-0_093081_2008-07-06_final
2008-11-24 09:50:49	ga_ls7e_ard_3-0-0_097079_2008-11-24_final
2008-12-20 10:24:11	ga_ls7e_ard_3-0-0_103069_2008-12-20_final
2009-08-07 09:52:09	ga_ls7e_ard_3-0-0_097080_2009-08-07_final
2009-11-25 10:06:15	ga_ls7e_ard_3-0-0_099083_2009-11-25_final
2010-02-11 10:16:09	ga_ls7e_ard_3-0-0_101074_2010-02-11_final
2010-05-10 09:24:12	ga_ls7e_ard_3-0-0_093067_2010-05-09_final
2010-09-09 10:06:36	ga_ls7e_ard_3-0-0_099080_2010-09-09_final
2010-09-11 09:55:03	ga_ls7e_ard_3-0-0_097082_2010-09-11_final
2011-05-10 09:00:20	ga_ls7e_ard_3-0-0_088081_2011-05-09_final
2011-05-21 10:19:27	ga_ls7e_ard_3-0-0_101078_2011-05-21_final
2011-07-31 10:22:44	ga_ls7e_ard_3-0-0_102071_2011-07-31_final
2011-11-12 11:13:50	ga_ls7e_ard_3-0-0_110075_2011-11-12_final
2011-12-25 10:57:42	ga_ls7e_ard_3-0-0_107080_2011-12-25_final
2012-12-06 10:42:00	ga_ls7e_ard_3-0-0_104082_2012-12-06_final
2013-02-03 10:23:41	ga_ls7e_ard_3-0-0_101082_2013-02-03_final
2015-07-21 10:09:41	ga_ls7e_ard_3-0-0_099069_2015-07-21_final
2015-08-13 10:21:56	ga_ls7e_ard_3-0-0_100084_2015-08-13_final
2015-09-14 10:19:13	ga_ls7e_ard_3-0-0_100077_2015-09-14_final
2016-10-25 10:28:11	ga_ls7e_ard_3-0-0_101077_2016-10-25_final
2017-06-08 10:16:30	ga_ls7e_ard_3-0-0_099079_2017-06-08_final
2018-02-28 10:05:56	ga_ls7e_ard_3-0-0_098071_2018-02-28_final
2018-03-09 09:59:15	ga_ls7e_ard_3-0-0_097070_2018-03-09_final
2018-10-19 11:39:09	ga_ls7e_ard_3-0-0_113083_2018-10-19_final
2019-01-15 10:42:12	ga_ls7e_ard_3-0-0_105070_2019-01-15_final
2020-04-04 09:58:03	ga_ls7e_ard_3-1-0_100084_2020-04-04_final
2020-05-25 10:22:42	ga_ls7e_ard_3-1-0_105076_2020-05-25_final
2020-05-31 09:46:04	ga_ls7e_ard_3-1-0_099078_2020-05-31_final
2020-10-31 09:25:53	ga_ls7e_ard_3-1-0_098067_2020-10-30_final
2020-11-22 10:27:21	ga_ls7e_ard_3-1-0_108070_2020-11-22_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_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