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
1999-11-16 09:50:27	ga_ls7e_ard_3-0-0_097069_1999-11-16_final
2000-01-17 10:07:07	ga_ls7e_ard_3-0-0_099080_2000-01-17_final
2000-08-25 11:09:41	ga_ls7e_ard_3-0-0_110071_2000-08-25_final
2000-08-27 10:58:06	ga_ls7e_ard_3-0-0_108073_2000-08-27_final
2001-03-12 09:37:07	ga_ls7e_ard_3-1-0_095073_2001-03-12_final
2001-04-28 10:33:18	ga_ls7e_ard_3-0-0_104075_2001-04-28_final
2004-03-08 09:17:40	ga_ls7e_ard_3-0-0_091089_2004-03-07_final
2004-05-27 09:18:02	ga_ls7e_ard_3-0-0_091090_2004-05-26_final
2004-11-22 09:43:35	ga_ls7e_ard_3-0-0_096077_2004-11-22_final
2005-03-12 09:57:26	ga_ls7e_ard_3-0-0_098079_2005-03-12_final
2005-04-12 10:54:57	ga_ls7e_ard_3-0-0_107084_2005-04-12_final
2005-06-14 10:06:21	ga_ls7e_ard_3-0-0_100071_2005-06-14_final
2005-12-07 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-12-07_final
2006-01-16 09:19:45	ga_ls7e_ard_3-0-0_092077_2006-01-15_final
2006-07-06 09:01:59	ga_ls7e_ard_3-0-0_089079_2006-07-05_final
2006-12-08 10:21:48	ga_ls7e_ard_3-0-0_102077_2006-12-08_final
2007-03-24 09:20:00	ga_ls7e_ard_3-0-0_092076_2007-03-23_final
2007-04-12 11:32:33	ga_ls7e_ard_3-0-0_113083_2007-04-12_final
2007-10-25 09:21:57	ga_ls7e_ard_3-0-0_093067_2007-10-24_final
2008-02-08 11:43:06	ga_ls7e_ard_3-0-0_115079_2008-02-08_final
2008-05-09 11:22:18	ga_ls7e_ard_3-0-0_112074_2008-05-09_final
2008-06-21 09:28:31	ga_ls7e_ard_3-0-0_093084_2008-06-20_final
2008-10-22 09:11:05	ga_ls7e_ard_3-0-0_090089_2008-10-21_final
2009-03-25 11:22:29	ga_ls7e_ard_3-1-0_112074_2009-03-25_final
2009-05-16 09:19:30	ga_ls7e_ard_3-0-0_092075_2009-05-15_final
2009-07-04 10:06:17	ga_ls7e_ard_3-0-0_099084_2009-07-04_final
2009-09-05 09:24:25	ga_ls7e_ard_3-0-0_092088_2009-09-04_final
2009-10-11 10:35:17	ga_ls7e_ard_3-0-0_104080_2009-10-11_final
2009-10-21 09:36:03	ga_ls7e_ard_3-0-0_094086_2009-10-21_final
2010-04-22 11:17:54	ga_ls7e_ard_3-0-0_111073_2010-04-22_final
2010-05-02 10:16:52	ga_ls7e_ard_3-1-0_101075_2010-05-02_final
2010-08-16 09:19:54	ga_ls7e_ard_3-0-0_091087_2010-08-15_final
2011-07-10 10:03:03	ga_ls7e_ard_3-0-0_099068_2011-07-10_final
2012-02-05 09:52:03	ga_ls7e_ard_3-0-0_097070_2012-02-05_final
2012-02-06 09:01:13	ga_ls7e_ard_3-0-0_088082_2012-02-05_final
2012-05-25 10:07:42	ga_ls7e_ard_3-0-0_099077_2012-05-25_final
2013-09-12 11:31:52	ga_ls7e_ard_3-1-0_112084_2013-09-12_final
2013-12-12 11:09:40	ga_ls7e_ard_3-0-0_109073_2013-12-12_final
2014-02-24 10:07:02	ga_ls7e_ard_3-0-0_099070_2014-02-24_final
2014-06-05 10:26:16	ga_ls7e_ard_3-0-0_102070_2014-06-05_final
2014-08-12 11:43:29	ga_ls7e_ard_3-0-0_114077_2014-08-12_final
2014-10-25 09:05:14	ga_ls7e_ard_3-0-0_088082_2014-10-24_final
2016-02-14 10:17:23	ga_ls7e_ard_3-0-0_099083_2016-02-14_final
2016-03-10 11:47:29	ga_ls7e_ard_3-0-0_114076_2016-03-10_final
2016-05-11 10:22:54	ga_ls7e_ard_3-0-0_100080_2016-05-11_final
2016-05-26 11:16:11	ga_ls7e_ard_3-0-0_109074_2016-05-26_final
2016-06-20 11:14:06	ga_ls7e_ard_3-1-0_108084_2016-06-20_final
2016-06-22 10:58:33	ga_ls7e_ard_3-0-0_106076_2016-06-22_final
2016-08-07 09:35:16	ga_ls7e_ard_3-0-0_092084_2016-08-07_final
2017-07-14 09:49:04	ga_ls7e_ard_3-0-0_095072_2017-07-14_final
2017-08-26 11:08:58	ga_ls7e_ard_3-0-0_108071_2017-08-26_final
2018-01-11 10:10:10	ga_ls7e_ard_3-0-0_098080_2018-01-11_final
2018-07-11 10:26:40	ga_ls7e_ard_3-0-0_101082_2018-07-11_final
2018-08-16 09:58:07	ga_ls7e_ard_3-0-0_097074_2018-08-16_final
2019-03-15 10:26:13	ga_ls7e_ard_3-1-0_102081_2019-03-15_final
2019-08-27 08:58:26	ga_ls7e_ard_3-1-0_089078_2019-08-26_final
2019-12-16 09:45:28	ga_ls7e_ard_3-1-0_098069_2019-12-16_final
2020-02-28 10:18:46	ga_ls7e_ard_3-1-0_104069_2020-02-28_final
2020-03-29 10:35:04	ga_ls7e_ard_3-1-0_106083_2020-03-29_final
2020-06-20 11:00:16	ga_ls7e_ard_3-1-0_111081_2020-06-20_final
2020-09-15 09:17:42	ga_ls7e_ard_3-1-0_096070_2020-09-14_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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