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

49 results

Time (local)	Label
1999-08-21 11:22:20	ga_ls7e_ard_3-0-0_112067_1999-08-21_final
1999-10-14 10:46:35	ga_ls7e_ard_3-0-0_106070_1999-10-14_final
2000-11-16 10:00:40	ga_ls7e_ard_3-0-0_099070_2000-11-16_final
2000-12-29 11:19:55	ga_ls7e_ard_3-0-0_112067_2000-12-29_final
2001-01-19 10:00:01	ga_ls7e_ard_3-0-0_099068_2001-01-19_final
2001-02-12 10:52:11	ga_ls7e_ard_3-0-0_107075_2001-02-12_final
2001-10-16 10:14:31	ga_ls7e_ard_3-0-0_101079_2001-10-16_final
2002-03-11 09:58:51	ga_ls7e_ard_3-0-0_099069_2002-03-11_final
2002-08-19 10:43:44	ga_ls7e_ard_3-1-0_106075_2002-08-19_final
2003-03-13 10:56:17	ga_ls7e_ard_3-0-0_108074_2003-03-13_final
2003-07-28 09:17:21	ga_ls7e_ard_3-0-0_091090_2003-07-27_final
2003-10-06 10:15:38	ga_ls7e_ard_3-0-0_101082_2003-10-06_final
2004-08-30 10:08:27	ga_ls7e_ard_3-0-0_100078_2004-08-30_final
2004-09-21 11:06:56	ga_ls7e_ard_3-0-0_110070_2004-09-21_final
2005-01-09 11:24:27	ga_ls7e_ard_3-0-0_112081_2005-01-09_final
2005-07-04 11:18:53	ga_ls7e_ard_3-0-0_112067_2005-07-04_final
2005-08-14 09:40:56	ga_ls7e_ard_3-0-0_095085_2005-08-14_final
2006-02-11 09:59:47	ga_ls7e_ard_3-0-0_098084_2006-02-11_final
2007-03-03 10:40:18	ga_ls7e_ard_3-0-0_105076_2007-03-03_final
2007-08-16 11:42:02	ga_ls7e_ard_3-1-0_115077_2007-08-16_final
2007-11-02 10:13:05	ga_ls7e_ard_3-0-0_101071_2007-11-02_final
2007-11-04 10:03:32	ga_ls7e_ard_3-0-0_099078_2007-11-04_final
2008-06-18 08:56:51	ga_ls7e_ard_3-0-0_088082_2008-06-17_final
2008-08-02 10:03:10	ga_ls7e_ard_3-0-0_099079_2008-08-02_final
2008-12-18 10:39:19	ga_ls7e_ard_3-0-0_105076_2008-12-18_final
2009-06-11 09:57:46	ga_ls7e_ard_3-0-0_098078_2009-06-11_final
2009-09-17 11:19:38	ga_ls7e_ard_3-0-0_112067_2009-09-17_final
2010-08-28 09:44:15	ga_ls7e_ard_3-0-0_095086_2010-08-28_final
2011-01-25 09:05:04	ga_ls7e_ard_3-0-0_089078_2011-01-24_final
2011-10-09 11:22:41	ga_ls7e_ard_3-0-0_112067_2011-10-09_final
2013-03-15 09:28:11	ga_ls7e_ard_3-0-0_093067_2013-03-14_final
2014-01-23 10:06:40	ga_ls7e_ard_3-0-0_099069_2014-01-23_final
2014-05-29 10:25:15	ga_ls7e_ard_3-0-0_101083_2014-05-29_final
2014-07-02 10:10:37	ga_ls7e_ard_3-0-0_099077_2014-07-02_final
2014-10-19 11:20:20	ga_ls7e_ard_3-0-0_110080_2014-10-19_final
2014-11-07 10:12:09	ga_ls7e_ard_3-0-0_099079_2014-11-07_final
2015-02-23 10:33:03	ga_ls7e_ard_3-0-0_103068_2015-02-23_final
2017-03-25 10:35:53	ga_ls7e_ard_3-0-0_102082_2017-03-25_final
2018-08-09 11:28:09	ga_ls7e_ard_3-0-0_112067_2018-08-09_final
2018-09-10 11:27:30	ga_ls7e_ard_3-0-0_112067_2018-09-10_final
2019-03-28 09:50:29	ga_ls7e_ard_3-1-0_097070_2019-03-28_final
2019-09-13 11:15:27	ga_ls7e_ard_3-1-0_112067_2019-09-13_final
2020-02-29 09:22:18	ga_ls7e_ard_3-1-0_095067_2020-02-28_final
2021-01-19 09:21:46	ga_ls7e_ard_3-1-0_098071_2021-01-18_final
2021-02-14 09:58:08	ga_ls7e_ard_3-2-0_104074_2021-02-14_final
2021-02-21 10:01:23	ga_ls7e_ard_3-2-0_105068_2021-02-21_final
2022-01-10 08:27:07	ga_ls7e_ard_3-2-1_094073_2022-01-09_final
2022-01-21 08:08:44	ga_ls7e_ard_3-2-1_091076_2022-01-20_final
2022-02-14 08:57:21	ga_ls7e_ard_3-2-1_099080_2022-02-13_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