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

58 results

Time (local)	Label
2000-03-26 10:25:50	ga_ls7e_ard_3-0-0_102081_2000-03-26_final
2001-08-15 10:02:45	ga_ls7e_ard_3-0-0_099079_2001-08-15_final
2002-06-15 10:02:02	ga_ls7e_ard_3-0-0_099078_2002-06-15_final
2002-07-02 10:44:01	ga_ls7e_ard_3-1-0_106075_2002-07-02_final
2003-01-03 10:38:08	ga_ls7e_ard_3-0-0_105076_2003-01-03_final
2003-01-25 09:58:49	ga_ls7e_ard_3-0-0_099070_2003-01-25_final
2003-09-22 10:04:07	ga_ls7e_ard_3-0-0_099084_2003-09-22_final
2003-11-16 10:07:53	ga_ls7e_ard_3-0-0_100077_2003-11-16_final
2004-06-04 10:02:38	ga_ls7e_ard_3-0-0_099078_2004-06-04_final
2004-09-19 11:20:53	ga_ls7e_ard_3-0-0_112074_2004-09-19_final
2004-12-28 10:56:52	ga_ls7e_ard_3-0-0_108074_2004-12-28_final
2005-04-17 09:30:10	ga_ls7e_ard_3-1-0_094073_2005-04-17_final
2005-08-31 10:22:52	ga_ls7e_ard_3-0-0_102082_2005-08-31_final
2005-10-12 09:18:08	ga_ls7e_ard_3-0-0_092075_2005-10-11_final
2005-12-23 10:06:33	ga_ls7e_ard_3-0-0_100071_2005-12-23_final
2006-01-05 11:15:04	ga_ls7e_ard_3-0-0_111072_2006-01-05_final
2006-01-11 09:01:58	ga_ls7e_ard_3-0-0_089079_2006-01-10_final
2006-01-26 09:57:18	ga_ls7e_ard_3-0-0_098078_2006-01-26_final
2006-02-11 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-02-11_final
2006-05-16 10:06:58	ga_ls7e_ard_3-0-0_100071_2006-05-16_final
2006-06-10 10:03:56	ga_ls7e_ard_3-0-0_099079_2006-06-10_final
2006-12-03 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-12-03_final
2007-03-28 10:36:33	ga_ls7e_ard_3-0-0_104082_2007-03-28_final
2008-07-10 09:52:25	ga_ls7e_ard_3-0-0_098067_2008-07-10_final
2008-10-19 10:16:13	ga_ls7e_ard_3-0-0_101082_2008-10-19_final
2009-02-26 10:03:08	ga_ls7e_ard_3-0-0_099077_2009-02-26_final
2009-12-29 09:50:00	ga_ls7e_ard_3-0-0_097072_2009-12-29_final
2010-01-18 11:04:29	ga_ls7e_ard_3-0-0_109072_2010-01-18_final
2010-03-18 09:09:39	ga_ls7e_ard_3-0-0_090077_2010-03-17_final
2010-05-22 11:30:33	ga_ls7e_ard_3-0-0_113074_2010-05-22_final
2010-09-10 09:09:47	ga_ls7e_ard_3-0-0_090077_2010-09-09_final
2010-12-13 10:59:45	ga_ls7e_ard_3-0-0_108072_2010-12-13_final
2010-12-14 10:03:20	ga_ls7e_ard_3-0-0_099070_2010-12-14_final
2011-08-21 09:06:43	ga_ls7e_ard_3-0-0_089082_2011-08-20_final
2011-09-05 10:03:28	ga_ls7e_ard_3-0-0_098085_2011-09-05_final
2011-09-15 10:39:17	ga_ls7e_ard_3-0-0_104082_2011-09-15_final
2012-01-18 10:04:44	ga_ls7e_ard_3-0-0_099071_2012-01-18_final
2012-06-01 10:15:43	ga_ls7e_ard_3-0-0_100082_2012-06-01_final
2013-02-14 09:59:09	ga_ls7e_ard_3-0-0_098067_2013-02-14_final
2014-02-13 10:30:03	ga_ls7e_ard_3-0-0_102081_2014-02-13_final
2015-05-15 11:19:44	ga_ls7e_ard_3-0-0_110075_2015-05-15_final
2015-05-25 10:21:33	ga_ls7e_ard_3-0-0_100084_2015-05-25_final
2016-04-18 10:17:48	ga_ls7e_ard_3-0-0_099083_2016-04-18_final
2016-08-17 10:05:58	ga_ls7e_ard_3-0-0_098068_2016-08-17_final
2016-12-31 10:55:54	ga_ls7e_ard_3-0-0_106070_2016-12-31_final
2017-03-25 10:35:29	ga_ls7e_ard_3-0-0_102081_2017-03-25_final
2017-06-24 10:12:34	ga_ls7e_ard_3-0-0_099069_2017-06-24_final
2017-08-29 11:43:27	ga_ls7e_ard_3-1-0_113080_2017-08-29_final
2018-05-02 09:29:19	ga_ls7e_ard_3-0-0_091090_2018-05-01_final
2018-07-02 10:27:27	ga_ls7e_ard_3-0-0_102068_2018-07-02_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-12-10 09:31:07	ga_ls7e_ard_3-0-0_093075_2018-12-10_final
2019-05-26 11:09:50	ga_ls7e_ard_3-0-0_110073_2019-05-26_final
2020-01-24 09:50:04	ga_ls7e_ard_3-1-0_099070_2020-01-24_final
2021-02-21 10:06:59	ga_ls7e_ard_3-2-0_105082_2021-02-21_final
2021-05-27 09:14:19	ga_ls7e_ard_3-2-0_098078_2021-05-26_final
2021-12-21 08:51:49	ga_ls7e_ard_3-2-1_098068_2021-12-20_final
2022-03-18 08:49:49	ga_ls7e_ard_3-2-1_099069_2022-03-17_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