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
1999-09-20 10:00:14	ga_ls7e_ard_3-0-0_098078_1999-09-20_final
2000-09-21 10:54:13	ga_ls7e_ard_3-0-0_107080_2000-09-21_final
2002-04-19 10:05:41	ga_ls7e_ard_3-0-0_100071_2002-04-19_final
2002-08-18 10:01:40	ga_ls7e_ard_3-0-0_099078_2002-08-18_final
2003-01-25 09:58:49	ga_ls7e_ard_3-0-0_099070_2003-01-25_final
2004-02-02 10:17:33	ga_ls7e_ard_3-0-0_102069_2004-02-02_final
2004-02-13 09:58:15	ga_ls7e_ard_3-0-0_099067_2004-02-13_final
2004-05-16 09:35:00	ga_ls7e_ard_3-0-0_094086_2004-05-16_final
2005-01-08 09:02:42	ga_ls7e_ard_3-0-0_089082_2005-01-07_final
2005-06-01 10:38:57	ga_ls7e_ard_3-0-0_105075_2005-06-01_final
2005-12-07 10:09:18	ga_ls7e_ard_3-0-0_100078_2005-12-07_final
2006-02-02 10:03:07	ga_ls7e_ard_3-0-0_099077_2006-02-02_final
2006-02-26 10:49:51	ga_ls7e_ard_3-0-0_107070_2006-02-26_final
2006-11-19 11:28:25	ga_ls7e_ard_3-0-0_113074_2006-11-19_final
2008-06-07 10:49:35	ga_ls7e_ard_3-0-0_107070_2008-06-07_final
2009-12-02 10:10:06	ga_ls7e_ard_3-0-0_100077_2009-12-02_final
2009-12-28 09:13:31	ga_ls7e_ard_3-0-0_090089_2009-12-27_final
2010-01-13 09:08:59	ga_ls7e_ard_3-0-0_090077_2010-01-12_final
2010-01-28 10:01:37	ga_ls7e_ard_3-0-0_099069_2010-01-28_final
2010-07-18 09:49:36	ga_ls7e_ard_3-0-0_096084_2010-07-18_final
2010-10-27 10:06:24	ga_ls7e_ard_3-0-0_099079_2010-10-27_final
2011-01-08 10:00:35	ga_ls7e_ard_3-0-0_098078_2011-01-08_final
2011-07-15 10:23:11	ga_ls7e_ard_3-0-0_102072_2011-07-15_final
2012-01-17 11:01:58	ga_ls7e_ard_3-1-0_108075_2012-01-17_final
2012-02-29 09:06:14	ga_ls7e_ard_3-0-0_089079_2012-02-28_final
2012-07-27 11:00:51	ga_ls7e_ard_3-0-0_108070_2012-07-27_final
2013-05-12 10:05:00	ga_ls7e_ard_3-0-0_099067_2013-05-12_final
2013-12-06 10:05:28	ga_ls7e_ard_3-0-0_099067_2013-12-06_final
2014-02-01 10:01:49	ga_ls7e_ard_3-0-0_098072_2014-02-01_final
2015-01-31 10:31:55	ga_ls7e_ard_3-0-0_102081_2015-01-31_final
2015-05-02 10:12:50	ga_ls7e_ard_3-0-0_099078_2015-05-02_final
2015-12-30 09:59:20	ga_ls7e_ard_3-0-0_097070_2015-12-30_final
2016-04-02 10:15:17	ga_ls7e_ard_3-0-0_099077_2016-04-02_final
2017-06-13 10:30:41	ga_ls7e_ard_3-0-0_102068_2017-06-13_final
2017-06-24 10:12:34	ga_ls7e_ard_3-0-0_099069_2017-06-24_final
2017-11-08 10:06:22	ga_ls7e_ard_3-0-0_098069_2017-11-08_final
2018-02-11 09:29:13	ga_ls7e_ard_3-0-0_091087_2018-02-10_final
2019-06-14 10:03:10	ga_ls7e_ard_3-0-0_099078_2019-06-14_final
2019-11-14 09:53:01	ga_ls7e_ard_3-1-0_098084_2019-11-14_final
2019-11-15 10:29:51	ga_ls7e_ard_3-1-0_105068_2019-11-15_final
2020-07-06 09:14:50	ga_ls7e_ard_3-1-0_095067_2020-07-05_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-08-26 09:49:20	ga_ls7e_ard_3-1-0_100084_2020-08-26_final
2020-09-12 10:31:04	ga_ls7e_ard_3-1-0_107083_2020-09-12_final
2021-06-18 08:39:01	ga_ls7e_ard_3-2-0_092087_2021-06-17_final
2021-09-02 10:30:53	ga_ls7e_ard_3-2-0_112074_2021-09-02_final
2021-12-29 08:05:35	ga_ls7e_ard_3-2-1_090078_2021-12-28_final
2022-03-03 07:58:54	ga_ls7e_ard_3-2-1_090077_2022-03-02_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