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

54 results

Time (local)	Label
1999-09-21 09:04:37	ga_ls7e_ard_3-0-0_089078_1999-09-20_final
2002-01-06 10:01:49	ga_ls7e_ard_3-0-0_099077_2002-01-06_final
2002-07-12 11:17:52	ga_ls7e_ard_3-0-0_112067_2002-07-12_final
2003-02-03 09:53:08	ga_ls7e_ard_3-0-0_098071_2003-02-03_final
2003-02-25 10:56:11	ga_ls7e_ard_3-0-0_108074_2003-02-25_final
2003-03-31 10:44:17	ga_ls7e_ard_3-1-0_106075_2003-03-31_final
2003-04-16 10:44:20	ga_ls7e_ard_3-1-0_106075_2003-04-16_final
2003-08-14 11:30:14	ga_ls7e_ard_3-0-0_114067_2003-08-14_final
2003-10-02 10:37:59	ga_ls7e_ard_3-0-0_105076_2003-10-02_final
2004-07-17 11:21:14	ga_ls7e_ard_3-0-0_112074_2004-07-17_final
2004-09-24 10:02:07	ga_ls7e_ard_3-0-0_099078_2004-09-24_final
2005-01-08 09:02:42	ga_ls7e_ard_3-0-0_089082_2005-01-07_final
2006-02-26 10:49:51	ga_ls7e_ard_3-0-0_107070_2006-02-26_final
2006-03-31 09:53:49	ga_ls7e_ard_3-0-0_098069_2006-03-31_final
2006-04-01 10:39:52	ga_ls7e_ard_3-0-0_105076_2006-04-01_final
2006-04-17 10:36:36	ga_ls7e_ard_3-0-0_105068_2006-04-17_final
2006-08-13 10:02:48	ga_ls7e_ard_3-0-0_099077_2006-08-13_final
2006-10-08 10:50:43	ga_ls7e_ard_3-0-0_107074_2006-10-08_final
2006-11-22 10:23:16	ga_ls7e_ard_3-0-0_102081_2006-11-22_final
2006-12-19 10:03:18	ga_ls7e_ard_3-0-0_099077_2006-12-19_final
2007-04-26 10:00:48	ga_ls7e_ard_3-0-0_099070_2007-04-26_final
2007-06-29 10:03:46	ga_ls7e_ard_3-0-0_099078_2007-06-29_final
2007-10-27 09:13:12	ga_ls7e_ard_3-0-0_091076_2007-10-26_final
2007-12-17 11:19:47	ga_ls7e_ard_3-0-0_112067_2007-12-17_final
2008-01-08 10:43:09	ga_ls7e_ard_3-0-0_106068_2008-01-08_final
2009-06-18 10:03:56	ga_ls7e_ard_3-0-0_099078_2009-06-18_final
2010-03-07 09:29:19	ga_ls7e_ard_3-0-0_093080_2010-03-06_final
2011-04-12 10:10:31	ga_ls7e_ard_3-0-0_100071_2011-04-12_final
2011-05-26 09:00:43	ga_ls7e_ard_3-0-0_088082_2011-05-25_final
2011-06-09 09:15:53	ga_ls7e_ard_3-0-0_090089_2011-06-08_final
2011-07-18 09:18:23	ga_ls7e_ard_3-0-0_091080_2011-07-17_final
2011-08-14 09:00:32	ga_ls7e_ard_3-0-0_088082_2011-08-13_final
2012-01-15 11:12:20	ga_ls7e_ard_3-0-0_110070_2012-01-15_final
2012-01-21 09:00:44	ga_ls7e_ard_3-0-0_088081_2012-01-20_final
2014-01-03 10:35:53	ga_ls7e_ard_3-0-0_103081_2014-01-03_final
2014-06-16 10:10:31	ga_ls7e_ard_3-0-0_099077_2014-06-16_final
2015-04-07 10:18:27	ga_ls7e_ard_3-0-0_100077_2015-04-07_final
2015-07-07 09:57:16	ga_ls7e_ard_3-0-0_097069_2015-07-07_final
2016-01-04 10:18:46	ga_ls7e_ard_3-0-0_100072_2016-01-04_final
2016-04-09 10:21:30	ga_ls7e_ard_3-0-0_100077_2016-04-09_final
2016-06-21 10:12:29	ga_ls7e_ard_3-0-0_099069_2016-06-21_final
2017-05-11 09:54:28	ga_ls7e_ard_3-0-0_095086_2017-05-11_final
2017-11-07 11:02:23	ga_ls7e_ard_3-0-0_107070_2017-11-07_final
2018-03-04 11:20:27	ga_ls7e_ard_3-1-0_110072_2018-03-04_final
2018-08-04 11:15:18	ga_ls7e_ard_3-1-0_109081_2018-08-04_final
2019-03-20 10:42:11	ga_ls7e_ard_3-1-0_105075_2019-03-20_final
2019-03-30 11:18:08	ga_ls7e_ard_3-0-0_111073_2019-03-30_final
2019-04-22 11:21:06	ga_ls7e_ard_3-0-0_112067_2019-04-22_final
2019-06-18 09:33:55	ga_ls7e_ard_3-0-0_095067_2019-06-18_final
2019-08-01 10:03:19	ga_ls7e_ard_3-0-0_099083_2019-08-01_final
2019-12-27 09:27:34	ga_ls7e_ard_3-1-0_095072_2019-12-26_final
2020-01-28 09:23:57	ga_ls7e_ard_3-1-0_095067_2020-01-27_final
2021-11-04 08:04:42	ga_ls7e_ard_3-2-0_089078_2021-11-03_final
2022-03-28 09:28:45	ga_ls7e_ard_3-2-1_105076_2022-03-27_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