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

48 results

Time (local)	Label
2001-01-08 10:19:19	ga_ls7e_ard_3-0-0_102070_2001-01-08_final
2001-01-19 10:00:01	ga_ls7e_ard_3-0-0_099068_2001-01-19_final
2001-06-19 10:06:25	ga_ls7e_ard_3-0-0_100071_2001-06-19_final
2002-02-11 11:14:12	ga_ls7e_ard_3-0-0_111072_2002-02-11_final
2003-08-18 11:08:43	ga_ls7e_ard_3-0-0_110075_2003-08-18_final
2003-08-28 10:08:04	ga_ls7e_ard_3-0-0_100078_2003-08-28_final
2003-12-02 10:07:57	ga_ls7e_ard_3-0-0_100077_2003-12-02_final
2004-02-02 10:17:33	ga_ls7e_ard_3-0-0_102069_2004-02-02_final
2004-06-04 10:02:14	ga_ls7e_ard_3-0-0_099077_2004-06-04_final
2004-11-04 09:56:14	ga_ls7e_ard_3-0-0_098078_2004-11-04_final
2005-06-08 10:45:29	ga_ls7e_ard_3-0-0_106076_2005-06-08_final
2005-06-21 10:17:18	ga_ls7e_ard_3-0-0_101083_2005-06-21_final
2005-11-15 10:47:04	ga_ls7e_ard_3-0-0_106080_2005-11-15_final
2006-02-02 10:04:19	ga_ls7e_ard_3-0-0_099080_2006-02-02_final
2006-11-05 11:15:05	ga_ls7e_ard_3-0-0_111072_2006-11-05_final
2007-02-24 10:32:54	ga_ls7e_ard_3-0-0_104073_2007-02-24_final
2007-03-10 10:43:18	ga_ls7e_ard_3-0-0_106068_2007-03-10_final
2007-04-14 11:16:36	ga_ls7e_ard_3-0-0_111074_2007-04-14_final
2008-03-19 10:49:54	ga_ls7e_ard_3-0-0_107070_2008-03-19_final
2008-04-14 09:51:17	ga_ls7e_ard_3-0-0_097078_2008-04-14_final
2008-05-30 10:03:00	ga_ls7e_ard_3-0-0_099077_2008-05-30_final
2009-11-19 09:02:23	ga_ls7e_ard_3-0-0_089078_2009-11-18_final
2010-02-28 09:21:05	ga_ls7e_ard_3-0-0_092075_2010-02-27_final
2010-06-16 09:49:30	ga_ls7e_ard_3-0-0_096084_2010-06-16_final
2010-07-20 09:38:26	ga_ls7e_ard_3-0-0_094087_2010-07-20_final
2010-11-07 11:27:40	ga_ls7e_ard_3-0-0_112081_2010-11-07_final
2010-11-27 09:26:19	ga_ls7e_ard_3-0-0_092086_2010-11-26_final
2011-02-10 09:05:08	ga_ls7e_ard_3-0-0_089078_2011-02-09_final
2011-07-03 10:00:51	ga_ls7e_ard_3-0-0_098078_2011-07-03_final
2011-07-27 09:10:59	ga_ls7e_ard_3-0-0_090077_2011-07-26_final
2011-08-09 10:18:53	ga_ls7e_ard_3-0-0_101077_2011-08-09_final
2012-08-18 10:28:25	ga_ls7e_ard_3-0-0_102081_2012-08-18_final
2014-09-05 10:51:14	ga_ls7e_ard_3-0-0_106070_2014-09-05_final
2015-03-21 11:13:33	ga_ls7e_ard_3-0-0_109076_2015-03-21_final
2015-12-01 10:34:10	ga_ls7e_ard_3-0-0_102081_2015-12-01_final
2016-06-12 10:21:51	ga_ls7e_ard_3-0-0_100077_2016-06-12_final
2017-03-20 10:15:43	ga_ls7e_ard_3-0-0_099078_2017-03-20_final
2017-06-30 11:16:23	ga_ls7e_ard_3-0-0_109074_2017-06-30_final
2017-08-11 10:13:20	ga_ls7e_ard_3-0-0_099071_2017-08-11_final
2018-01-31 09:39:56	ga_ls7e_ard_3-1-0_094067_2018-01-31_final
2018-06-20 10:08:57	ga_ls7e_ard_3-0-0_098083_2018-06-20_final
2018-12-14 09:09:04	ga_ls7e_ard_3-0-0_089082_2018-12-13_final
2019-01-22 10:47:21	ga_ls7e_ard_3-0-0_106068_2019-01-22_final
2019-10-19 09:13:54	ga_ls7e_ard_3-1-0_092076_2019-10-18_final
2020-11-27 10:44:44	ga_ls7e_ard_3-1-0_111068_2020-11-27_final
2021-11-04 09:42:47	ga_ls7e_ard_3-2-0_105076_2021-11-04_final
2021-12-09 10:09:32	ga_ls7e_ard_3-2-1_110074_2021-12-09_final
2022-03-22 10:03:36	ga_ls7e_ard_3-2-1_111069_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years