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

55 results

Time (local)	Label
1999-11-14 11:44:54	ga_ls7e_ard_3-1-0_115077_1999-11-14_final
2000-10-14 10:57:42	ga_ls7e_ard_3-0-0_108074_2000-10-14_final
2001-07-29 09:22:39	ga_ls7e_ard_3-0-0_092086_2001-07-28_final
2001-09-15 10:56:04	ga_ls7e_ard_3-0-0_108074_2001-09-15_final
2001-11-18 10:56:04	ga_ls7e_ard_3-1-0_108074_2001-11-18_final
2002-02-15 10:50:39	ga_ls7e_ard_3-0-0_107075_2002-02-15_final
2002-05-29 10:56:09	ga_ls7e_ard_3-0-0_108074_2002-05-29_final
2002-08-26 10:49:46	ga_ls7e_ard_3-0-0_107075_2002-08-26_final
2002-10-04 10:55:39	ga_ls7e_ard_3-0-0_108075_2002-10-04_final
2003-01-08 10:55:51	ga_ls7e_ard_3-0-0_108074_2003-01-08_final
2003-03-06 10:50:30	ga_ls7e_ard_3-0-0_107075_2003-03-06_final
2003-05-25 09:17:09	ga_ls7e_ard_3-0-0_091089_2003-05-24_final
2003-12-05 10:38:29	ga_ls7e_ard_3-0-0_105076_2003-12-05_final
2004-01-04 10:53:04	ga_ls7e_ard_3-0-0_107081_2004-01-04_final
2004-01-20 10:53:09	ga_ls7e_ard_3-0-0_107081_2004-01-20_final
2004-07-03 09:35:13	ga_ls7e_ard_3-0-0_094087_2004-07-03_final
2004-12-14 09:10:17	ga_ls7e_ard_3-0-0_090086_2004-12-13_final
2005-03-27 10:53:50	ga_ls7e_ard_3-0-0_107081_2005-03-27_final
2005-04-13 09:57:19	ga_ls7e_ard_3-0-0_098079_2005-04-13_final
2005-05-30 10:51:20	ga_ls7e_ard_3-0-0_107075_2005-05-30_final
2005-07-01 10:51:10	ga_ls7e_ard_3-0-0_107075_2005-07-01_final
2005-12-08 10:53:46	ga_ls7e_ard_3-0-0_107081_2005-12-08_final
2007-01-12 10:51:59	ga_ls7e_ard_3-0-0_107075_2007-01-12_final
2007-01-19 10:57:47	ga_ls7e_ard_3-0-0_108074_2007-01-19_final
2007-01-31 09:43:43	ga_ls7e_ard_3-0-0_096074_2007-01-31_final
2007-06-12 09:24:31	ga_ls7e_ard_3-0-0_092088_2007-06-11_final
2007-06-13 10:04:11	ga_ls7e_ard_3-0-0_099079_2007-06-13_final
2007-07-30 09:22:47	ga_ls7e_ard_3-0-0_092084_2007-07-29_final
2007-10-27 10:51:41	ga_ls7e_ard_3-0-0_107075_2007-10-27_final
2007-11-28 10:51:59	ga_ls7e_ard_3-0-0_107075_2007-11-28_final
2009-04-23 10:52:08	ga_ls7e_ard_3-0-0_107075_2009-04-23_final
2010-02-07 10:41:37	ga_ls7e_ard_3-0-0_105076_2010-02-07_final
2010-05-28 09:20:12	ga_ls7e_ard_3-0-0_091088_2010-05-27_final
2011-01-23 10:55:06	ga_ls7e_ard_3-0-0_107075_2011-01-23_final
2011-03-28 10:55:21	ga_ls7e_ard_3-0-0_107075_2011-03-28_final
2012-05-17 10:56:30	ga_ls7e_ard_3-0-0_107075_2012-05-17_final
2012-10-06 09:34:28	ga_ls7e_ard_3-0-0_093084_2012-10-06_final
2014-05-22 10:17:03	ga_ls7e_ard_3-0-0_100078_2014-05-22_final
2015-03-30 09:30:31	ga_ls7e_ard_3-0-0_092081_2015-03-30_final
2015-05-11 10:09:08	ga_ls7e_ard_3-0-0_098084_2015-05-11_final
2015-06-02 09:32:59	ga_ls7e_ard_3-0-0_092086_2015-06-02_final
2016-06-04 09:36:46	ga_ls7e_ard_3-0-0_092088_2016-06-04_final
2016-07-15 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-07-15_final
2016-11-23 09:59:54	ga_ls7e_ard_3-0-0_096084_2016-11-23_final
2016-11-29 09:24:48	ga_ls7e_ard_3-0-0_090089_2016-11-28_final
2017-07-03 10:12:23	ga_ls7e_ard_3-0-0_098084_2017-07-03_final
2017-07-09 09:37:18	ga_ls7e_ard_3-0-0_092089_2017-07-09_final
2018-08-04 11:15:18	ga_ls7e_ard_3-1-0_109081_2018-08-04_final
2019-07-26 10:40:14	ga_ls7e_ard_3-0-0_105082_2019-07-26_final
2021-03-15 09:23:24	ga_ls7e_ard_3-2-0_099070_2021-03-14_final
2021-04-23 09:29:33	ga_ls7e_ard_3-2-0_100078_2021-04-22_final
2021-09-07 09:11:42	ga_ls7e_ard_3-2-0_099078_2021-09-06_final
2021-10-13 10:24:40	ga_ls7e_ard_3-2-0_111083_2021-10-13_final
2022-01-22 08:49:30	ga_ls7e_ard_3-2-1_098070_2022-01-21_final
2022-03-25 08:58:32	ga_ls7e_ard_3-2-1_100077_2022-03-24_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