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
1999-12-24 09:16:33	ga_ls7e_ard_3-0-0_091077_1999-12-23_final
2000-05-02 10:40:29	ga_ls7e_ard_3-0-0_105072_2000-05-02_final
2000-12-08 09:30:46	ga_ls7e_ard_3-0-0_093088_2000-12-08_final
2001-06-10 10:15:06	ga_ls7e_ard_3-0-0_101077_2001-06-10_final
2001-07-02 09:35:45	ga_ls7e_ard_3-0-0_095072_2001-07-02_final
2002-06-07 09:15:03	ga_ls7e_ard_3-0-0_091084_2002-06-06_final
2002-07-02 09:05:56	ga_ls7e_ard_3-0-0_090077_2002-07-01_final
2003-01-26 09:09:35	ga_ls7e_ard_3-0-0_090086_2003-01-25_final
2003-11-29 11:13:57	ga_ls7e_ard_3-0-0_111072_2003-11-29_final
2004-10-04 09:01:28	ga_ls7e_ard_3-1-0_089081_2004-10-03_final
2004-12-04 10:08:26	ga_ls7e_ard_3-0-0_100077_2004-12-04_final
2005-01-16 09:53:21	ga_ls7e_ard_3-0-0_097085_2005-01-16_final
2005-12-16 11:42:01	ga_ls7e_ard_3-0-0_115078_2005-12-16_final
2005-12-31 09:20:00	ga_ls7e_ard_3-0-0_092078_2005-12-30_final
2006-06-14 11:16:05	ga_ls7e_ard_3-0-0_111074_2006-06-14_final
2006-07-27 10:55:38	ga_ls7e_ard_3-0-0_108070_2006-07-27_final
2007-04-28 11:32:30	ga_ls7e_ard_3-0-0_113083_2007-04-28_final
2007-12-25 08:57:28	ga_ls7e_ard_3-0-0_088082_2007-12-24_final
2008-01-01 09:03:40	ga_ls7e_ard_3-0-0_089082_2007-12-31_final
2008-02-29 10:19:28	ga_ls7e_ard_3-0-0_102071_2008-02-29_final
2009-02-10 10:03:46	ga_ls7e_ard_3-0-0_099079_2009-02-10_final
2009-04-15 10:00:16	ga_ls7e_ard_3-0-0_099069_2009-04-15_final
2009-05-17 11:41:39	ga_ls7e_ard_3-0-0_115075_2009-05-17_final
2009-08-07 09:47:46	ga_ls7e_ard_3-0-0_097069_2009-08-07_final
2010-10-27 10:02:49	ga_ls7e_ard_3-0-0_099070_2010-10-27_final
2011-05-26 10:39:36	ga_ls7e_ard_3-0-0_104082_2011-05-26_final
2011-10-24 09:05:04	ga_ls7e_ard_3-0-0_089078_2011-10-23_final
2012-07-27 11:01:15	ga_ls7e_ard_3-0-0_108071_2012-07-27_final
2012-08-14 09:16:13	ga_ls7e_ard_3-0-0_090086_2012-08-13_final
2012-10-24 09:19:30	ga_ls7e_ard_3-0-0_091077_2012-10-23_final
2013-01-19 09:30:25	ga_ls7e_ard_3-0-0_092088_2013-01-19_final
2013-02-15 09:09:07	ga_ls7e_ard_3-1-0_089081_2013-02-14_final
2013-10-26 10:15:22	ga_ls7e_ard_3-0-0_100077_2013-10-26_final
2013-11-24 11:21:55	ga_ls7e_ard_3-0-0_111073_2013-11-24_final
2013-12-24 11:38:01	ga_ls7e_ard_3-0-0_113082_2013-12-24_final
2014-02-17 10:01:16	ga_ls7e_ard_3-0-0_098071_2014-02-17_final
2014-04-15 11:35:31	ga_ls7e_ard_3-0-0_113074_2014-04-15_final
2014-06-08 10:57:34	ga_ls7e_ard_3-0-0_107071_2014-06-08_final
2014-09-11 10:16:55	ga_ls7e_ard_3-0-0_100077_2014-09-11_final
2015-03-03 11:27:21	ga_ls7e_ard_3-0-0_111080_2015-03-03_final
2015-09-23 11:51:34	ga_ls7e_ard_3-0-0_115076_2015-09-23_final
2016-03-09 11:02:13	ga_ls7e_ard_3-0-0_107071_2016-03-09_final
2016-04-29 11:38:13	ga_ls7e_ard_3-0-0_112083_2016-04-29_final
2016-08-03 11:32:05	ga_ls7e_ard_3-0-0_112067_2016-08-03_final
2016-08-23 09:35:18	ga_ls7e_ard_3-0-0_092084_2016-08-23_final
2016-10-20 11:47:21	ga_ls7e_ard_3-0-0_114074_2016-10-20_final
2016-12-07 10:06:38	ga_ls7e_ard_3-0-0_098070_2016-12-07_final
2017-02-10 10:51:42	ga_ls7e_ard_3-0-0_105076_2017-02-10_final
2017-05-02 09:53:02	ga_ls7e_ard_3-0-0_096067_2017-05-02_final
2018-01-31 09:39:56	ga_ls7e_ard_3-1-0_094067_2018-01-31_final
2018-03-01 09:16:17	ga_ls7e_ard_3-0-0_089086_2018-02-28_final
2018-03-12 10:34:30	ga_ls7e_ard_3-0-0_102081_2018-03-12_final
2018-06-26 09:33:21	ga_ls7e_ard_3-0-0_092087_2018-06-26_final
2018-12-04 10:05:58	ga_ls7e_ard_3-0-0_099069_2018-12-04_final
2019-11-26 10:14:23	ga_ls7e_ard_3-1-0_102077_2019-11-26_final
2019-12-11 11:08:52	ga_ls7e_ard_3-1-0_111076_2019-12-11_final
2020-05-03 11:01:08	ga_ls7e_ard_3-1-0_111076_2020-05-03_final
2021-06-22 09:47:16	ga_ls7e_ard_3-2-0_104073_2021-06-22_final
2021-08-20 09:27:37	ga_ls7e_ard_3-2-0_101083_2021-08-19_final
2021-08-22 10:50:46	ga_ls7e_ard_3-2-0_115075_2021-08-22_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_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

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