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

52 results

Time (local)	Label
1999-11-09 09:43:30	ga_ls7e_ard_3-0-0_096067_1999-11-09_final
2000-01-25 10:54:34	ga_ls7e_ard_3-0-0_107075_2000-01-25_final
2000-03-29 10:54:17	ga_ls7e_ard_3-0-0_107075_2000-03-29_final
2000-05-07 10:57:44	ga_ls7e_ard_3-0-0_108069_2000-05-07_final
2000-09-28 10:55:59	ga_ls7e_ard_3-0-0_108069_2000-09-28_final
2001-03-03 09:40:55	ga_ls7e_ard_3-0-0_096067_2001-03-03_final
2001-05-28 10:45:47	ga_ls7e_ard_3-0-0_106076_2001-05-28_final
2001-08-14 09:23:30	ga_ls7e_ard_3-0-0_092089_2001-08-13_final
2001-10-19 10:44:16	ga_ls7e_ard_3-0-0_106076_2001-10-19_final
2001-11-20 10:44:30	ga_ls7e_ard_3-0-0_106076_2001-11-20_final
2002-03-26 10:54:22	ga_ls7e_ard_3-0-0_108069_2002-03-26_final
2002-09-02 10:53:32	ga_ls7e_ard_3-0-0_108069_2002-09-02_final
2003-01-08 10:53:51	ga_ls7e_ard_3-0-0_108069_2003-01-08_final
2003-08-22 10:44:23	ga_ls7e_ard_3-0-0_106076_2003-08-22_final
2004-01-07 09:39:30	ga_ls7e_ard_3-0-0_096067_2004-01-07_final
2004-10-11 10:44:30	ga_ls7e_ard_3-0-0_106076_2004-10-11_final
2005-07-01 10:51:10	ga_ls7e_ard_3-0-0_107075_2005-07-01_final
2005-07-04 09:40:00	ga_ls7e_ard_3-0-0_096067_2005-07-04_final
2007-03-20 09:41:07	ga_ls7e_ard_3-0-0_096067_2007-03-20_final
2008-08-13 09:39:46	ga_ls7e_ard_3-0-0_096067_2008-08-13_final
2009-04-07 10:52:04	ga_ls7e_ard_3-0-0_107075_2009-04-07_final
2009-06-25 10:11:18	ga_ls7e_ard_3-1-0_100081_2009-06-25_final
2010-08-05 09:36:49	ga_ls7e_ard_3-0-0_094083_2010-08-05_final
2010-10-22 09:43:02	ga_ls7e_ard_3-0-0_096067_2010-10-22_final
2010-12-25 09:43:41	ga_ls7e_ard_3-0-0_096067_2010-12-25_final
2011-04-06 10:47:13	ga_ls7e_ard_3-0-0_106070_2011-04-06_final
2011-05-18 09:44:09	ga_ls7e_ard_3-0-0_096067_2011-05-18_final
2011-12-25 10:55:42	ga_ls7e_ard_3-0-0_107075_2011-12-25_final
2012-01-09 10:13:20	ga_ls7e_ard_3-0-0_100077_2012-01-09_final
2012-01-13 09:44:37	ga_ls7e_ard_3-0-0_096067_2012-01-13_final
2012-01-26 10:55:45	ga_ls7e_ard_3-0-0_107075_2012-01-26_final
2012-02-28 10:03:52	ga_ls7e_ard_3-0-0_098084_2012-02-28_final
2012-03-01 09:44:43	ga_ls7e_ard_3-0-0_096067_2012-03-01_final
2012-06-11 10:50:21	ga_ls7e_ard_3-0-0_106076_2012-06-11_final
2012-12-15 10:35:55	ga_ls7e_ard_3-0-0_103082_2012-12-15_final
2013-01-31 09:46:48	ga_ls7e_ard_3-0-0_096067_2013-01-31_final
2013-06-24 09:46:12	ga_ls7e_ard_3-0-0_096067_2013-06-24_final
2014-03-05 10:00:56	ga_ls7e_ard_3-0-0_098070_2014-03-05_final
2014-12-20 09:49:07	ga_ls7e_ard_3-0-0_096067_2014-12-20_final
2015-10-04 09:50:33	ga_ls7e_ard_3-0-0_096067_2015-10-04_final
2016-05-31 09:53:05	ga_ls7e_ard_3-0-0_096067_2016-05-31_final
2016-08-16 11:04:23	ga_ls7e_ard_3-0-0_107075_2016-08-16_final
2016-09-28 10:45:10	ga_ls7e_ard_3-0-0_104073_2016-09-28_final
2017-11-10 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-11-10_final
2018-05-05 09:50:58	ga_ls7e_ard_3-0-0_096067_2018-05-05_final
2018-07-03 09:38:35	ga_ls7e_ard_3-0-0_093085_2018-07-03_final
2018-10-12 09:47:52	ga_ls7e_ard_3-0-0_096067_2018-10-12_final
2019-04-30 10:32:33	ga_ls7e_ard_3-1-0_104070_2019-04-30_final
2019-10-15 09:35:12	ga_ls7e_ard_3-1-0_096067_2019-10-15_final
2020-05-26 09:23:25	ga_ls7e_ard_3-1-0_096067_2020-05-25_final
2020-07-03 10:26:11	ga_ls7e_ard_3-1-0_106075_2020-07-03_final
2021-05-29 08:57:24	ga_ls7e_ard_3-2-0_096067_2021-05-28_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