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

61 results

Time (local)	Label
2000-01-21 09:37:12	ga_ls7e_ard_3-0-0_095067_2000-01-21_final
2000-08-27 10:58:30	ga_ls7e_ard_3-0-0_108074_2000-08-27_final
2000-09-30 10:46:02	ga_ls7e_ard_3-1-0_106075_2000-09-30_final
2000-10-30 10:55:54	ga_ls7e_ard_3-0-0_108069_2000-10-30_final
2000-11-15 10:57:53	ga_ls7e_ard_3-0-0_108074_2000-11-15_final
2000-12-18 10:04:20	ga_ls7e_ard_3-0-0_099079_2000-12-18_final
2001-09-04 09:33:01	ga_ls7e_ard_3-0-0_095067_2001-09-04_final
2001-09-24 10:50:13	ga_ls7e_ard_3-0-0_107075_2001-09-24_final
2002-09-27 10:49:31	ga_ls7e_ard_3-0-0_107075_2002-09-27_final
2002-11-22 10:01:15	ga_ls7e_ard_3-0-0_099077_2002-11-22_final
2003-01-26 10:44:29	ga_ls7e_ard_3-0-0_106076_2003-01-26_final
2003-05-06 10:22:01	ga_ls7e_ard_3-0-0_102081_2003-05-06_final
2003-08-29 10:51:43	ga_ls7e_ard_3-0-0_107079_2003-08-29_final
2003-11-25 10:02:35	ga_ls7e_ard_3-0-0_099079_2003-11-25_final
2004-01-12 10:01:38	ga_ls7e_ard_3-0-0_099076_2004-01-12_final
2004-03-16 10:02:46	ga_ls7e_ard_3-0-0_099078_2004-03-16_final
2004-05-18 10:54:44	ga_ls7e_ard_3-0-0_108069_2004-05-18_final
2004-05-20 10:44:46	ga_ls7e_ard_3-1-0_106075_2004-05-20_final
2004-10-15 10:21:51	ga_ls7e_ard_3-0-0_102081_2004-10-15_final
2005-01-13 10:55:21	ga_ls7e_ard_3-0-0_108070_2005-01-13_final
2005-05-05 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-05-05_final
2005-11-19 10:22:46	ga_ls7e_ard_3-0-0_102081_2005-11-19_final
2006-02-17 10:55:37	ga_ls7e_ard_3-0-0_108069_2006-02-17_final
2006-03-01 09:40:41	ga_ls7e_ard_3-0-0_096067_2006-03-01_final
2006-06-05 11:22:18	ga_ls7e_ard_3-0-0_112074_2006-06-05_final
2006-06-15 10:18:28	ga_ls7e_ard_3-0-0_102069_2006-06-15_final
2006-08-28 10:55:11	ga_ls7e_ard_3-0-0_108069_2006-08-28_final
2006-09-19 10:22:46	ga_ls7e_ard_3-0-0_102081_2006-09-19_final
2006-12-18 10:55:44	ga_ls7e_ard_3-0-0_108069_2006-12-18_final
2007-04-10 10:04:02	ga_ls7e_ard_3-0-0_099078_2007-04-10_final
2007-10-18 10:55:22	ga_ls7e_ard_3-0-0_108069_2007-10-18_final
2008-07-10 09:52:25	ga_ls7e_ard_3-0-0_098067_2008-07-10_final
2008-10-28 10:08:11	ga_ls7e_ard_3-0-0_100077_2008-10-28_final
2008-12-15 10:11:35	ga_ls7e_ard_3-0-0_100084_2008-12-15_final
2009-01-13 09:34:06	ga_ls7e_ard_3-0-0_095067_2009-01-13_final
2009-01-25 09:59:40	ga_ls7e_ard_3-0-0_099069_2009-01-25_final
2010-01-18 11:04:29	ga_ls7e_ard_3-0-0_109072_2010-01-18_final
2010-06-23 09:50:08	ga_ls7e_ard_3-0-0_097070_2010-06-23_final
2011-03-15 09:44:09	ga_ls7e_ard_3-0-0_096067_2011-03-15_final
2011-08-31 09:45:21	ga_ls7e_ard_3-0-0_095086_2011-08-31_final
2011-11-03 09:37:47	ga_ls7e_ard_3-0-0_095067_2011-11-03_final
2012-11-14 09:34:10	ga_ls7e_ard_3-1-0_094067_2012-11-14_final
2014-03-19 10:16:12	ga_ls7e_ard_3-0-0_100077_2014-03-19_final
2015-03-08 10:08:37	ga_ls7e_ard_3-0-0_098084_2015-03-08_final
2017-01-24 11:43:52	ga_ls7e_ard_3-0-0_114067_2017-01-24_final
2017-01-28 11:19:08	ga_ls7e_ard_3-0-0_110067_2017-01-28_final
2017-10-18 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-10-18_final
2017-12-17 10:13:04	ga_ls7e_ard_3-0-0_099071_2017-12-17_final
2017-12-19 09:59:53	ga_ls7e_ard_3-0-0_097069_2017-12-19_final
2018-02-14 09:52:07	ga_ls7e_ard_3-0-0_096067_2018-02-14_final
2018-05-04 09:13:43	ga_ls7e_ard_3-0-0_089082_2018-05-03_final
2018-06-05 10:49:41	ga_ls7e_ard_3-0-0_105076_2018-06-05_final
2018-07-13 10:12:41	ga_ls7e_ard_3-0-0_099078_2018-07-13_final
2019-04-02 10:12:03	ga_ls7e_ard_3-0-0_100078_2019-04-02_final
2019-10-26 10:57:52	ga_ls7e_ard_3-1-0_109074_2019-10-26_final
2020-10-22 09:34:15	ga_ls7e_ard_3-1-0_099071_2020-10-22_final
2020-11-16 09:24:47	ga_ls7e_ard_3-1-0_098067_2020-11-15_final
2021-07-11 10:17:46	ga_ls7e_ard_3-2-0_109076_2021-07-11_final
2021-09-18 10:33:28	ga_ls7e_ard_3-2-0_112084_2021-09-18_final
2021-10-30 09:26:42	ga_ls7e_ard_3-2-0_102081_2021-10-29_final
2022-01-26 10:08:04	ga_ls7e_ard_3-2-1_110082_2022-01-26_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