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
1999-08-30 09:37:22	ga_ls7e_ard_3-0-0_095067_1999-08-30_final
1999-09-06 11:22:24	ga_ls7e_ard_3-0-0_112067_1999-09-06_final
2000-03-18 09:33:37	ga_ls7e_ard_3-0-0_094074_2000-03-18_final
2000-11-15 09:19:24	ga_ls7e_ard_3-0-0_092075_2000-11-14_final
2000-12-17 10:57:58	ga_ls7e_ard_3-0-0_108074_2000-12-17_final
2000-12-23 10:21:19	ga_ls7e_ard_3-0-0_102075_2000-12-23_final
2002-01-21 10:56:24	ga_ls7e_ard_3-0-0_108074_2002-01-21_final
2002-05-13 10:56:18	ga_ls7e_ard_3-0-0_108074_2002-05-13_final
2002-11-05 10:55:25	ga_ls7e_ard_3-0-0_108074_2002-11-05_final
2002-11-07 10:40:40	ga_ls7e_ard_3-0-0_106068_2002-11-07_final
2003-01-25 09:58:01	ga_ls7e_ard_3-0-0_099068_2003-01-25_final
2003-04-09 10:38:34	ga_ls7e_ard_3-0-0_105076_2003-04-09_final
2003-07-31 11:17:55	ga_ls7e_ard_3-0-0_112067_2003-07-31_final
2003-09-28 11:02:19	ga_ls7e_ard_3-0-0_109075_2003-09-28_final
2003-10-03 11:17:39	ga_ls7e_ard_3-0-0_112067_2003-10-03_final
2003-12-05 10:38:05	ga_ls7e_ard_3-0-0_105075_2003-12-05_final
2004-01-05 09:58:39	ga_ls7e_ard_3-0-0_098084_2004-01-05_final
2004-03-10 10:39:01	ga_ls7e_ard_3-0-0_105076_2004-03-10_final
2004-09-19 11:18:06	ga_ls7e_ard_3-0-0_112067_2004-09-19_final
2005-01-26 10:29:13	ga_ls7e_ard_3-0-0_103082_2005-01-26_final
2005-06-15 10:51:12	ga_ls7e_ard_3-0-0_107075_2005-06-15_final
2005-10-29 10:00:26	ga_ls7e_ard_3-0-0_099072_2005-10-29_final
2006-01-25 10:51:43	ga_ls7e_ard_3-0-0_107075_2006-01-25_final
2006-08-01 11:18:10	ga_ls7e_ard_3-0-0_111080_2006-08-01_final
2007-12-26 09:34:45	ga_ls7e_ard_3-0-0_095067_2007-12-26_final
2008-01-26 08:57:28	ga_ls7e_ard_3-0-0_088082_2008-01-25_final
2008-06-30 09:22:14	ga_ls7e_ard_3-0-0_092084_2008-06-29_final
2008-07-15 10:16:52	ga_ls7e_ard_3-0-0_101082_2008-07-15_final
2008-12-24 10:03:53	ga_ls7e_ard_3-0-0_099080_2008-12-24_final
2009-01-02 09:53:46	ga_ls7e_ard_3-0-0_098070_2009-01-02_final
2010-04-23 10:25:28	ga_ls7e_ard_3-0-0_102081_2010-04-23_final
2010-07-23 10:06:32	ga_ls7e_ard_3-0-0_099080_2010-07-23_final
2010-09-12 08:59:01	ga_ls7e_ard_3-0-0_088081_2010-09-11_final
2010-11-01 10:22:35	ga_ls7e_ard_3-0-0_102073_2010-11-01_final
2011-01-04 10:22:28	ga_ls7e_ard_3-0-0_102071_2011-01-04_final
2011-02-26 09:05:37	ga_ls7e_ard_3-0-0_089079_2011-02-25_final
2011-06-16 09:22:03	ga_ls7e_ard_3-0-0_091089_2011-06-15_final
2012-09-25 11:30:36	ga_ls7e_ard_3-0-0_112081_2012-09-25_final
2013-08-27 11:24:53	ga_ls7e_ard_3-0-0_112067_2013-08-27_final
2013-11-09 10:27:01	ga_ls7e_ard_3-0-0_102075_2013-11-09_final
2014-09-30 09:13:57	ga_ls7e_ard_3-1-0_089089_2014-09-29_final
2014-12-28 10:38:57	ga_ls7e_ard_3-0-0_104068_2014-12-28_final
2015-01-20 09:10:16	ga_ls7e_ard_3-0-0_089078_2015-01-19_final
2015-12-28 11:54:08	ga_ls7e_ard_3-0-0_115079_2015-12-28_final
2016-01-25 10:41:11	ga_ls7e_ard_3-0-0_103081_2016-01-25_final
2016-02-23 10:06:01	ga_ls7e_ard_3-0-0_098070_2016-02-23_final
2017-06-19 09:53:13	ga_ls7e_ard_3-0-0_096067_2017-06-19_final
2017-11-15 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-11-15_final
2018-06-11 10:12:54	ga_ls7e_ard_3-0-0_099077_2018-06-11_final
2018-06-27 10:12:36	ga_ls7e_ard_3-0-0_099077_2018-06-27_final
2018-08-25 11:27:51	ga_ls7e_ard_3-0-0_112067_2018-08-25_final
2019-01-27 11:06:32	ga_ls7e_ard_3-0-0_109070_2019-01-27_final
2019-03-26 10:02:31	ga_ls7e_ard_3-1-0_099069_2019-03-26_final
2019-08-18 10:42:41	ga_ls7e_ard_3-1-0_106075_2019-08-18_final
2019-12-03 10:18:13	ga_ls7e_ard_3-1-0_103072_2019-12-03_final
2020-03-02 09:16:37	ga_ls7e_ard_3-1-0_093084_2020-03-01_final
2020-07-11 09:39:28	ga_ls7e_ard_3-1-0_098083_2020-07-11_final
2021-02-17 10:29:12	ga_ls7e_ard_3-2-0_109075_2021-02-17_final
2021-03-05 10:27:59	ga_ls7e_ard_3-2-0_109075_2021-03-05_final
2021-10-20 10:23:50	ga_ls7e_ard_3-2-0_112067_2021-10-20_final
2022-03-03 07:58:54	ga_ls7e_ard_3-2-1_090077_2022-03-02_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

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