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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
1999-09-09 10:15:59	ga_ls7e_ard_3-0-0_101071_1999-09-09_final
1999-11-30 10:06:18	ga_ls7e_ard_3-0-0_099078_1999-11-30_final
2000-08-11 10:56:38	ga_ls7e_ard_3-0-0_108069_2000-08-11_final
2001-02-04 09:59:58	ga_ls7e_ard_3-0-0_099068_2001-02-04_final
2001-05-10 10:55:32	ga_ls7e_ard_3-0-0_108069_2001-05-10_final
2001-08-17 09:52:23	ga_ls7e_ard_3-1-0_097084_2001-08-17_final
2001-12-10 10:21:52	ga_ls7e_ard_3-0-0_102081_2001-12-10_final
2002-04-27 10:54:21	ga_ls7e_ard_3-0-0_108069_2002-04-27_final
2002-07-24 10:09:56	ga_ls7e_ard_3-0-0_100083_2002-07-24_final
2004-03-20 11:15:21	ga_ls7e_ard_3-0-0_111074_2004-03-20_final
2004-05-18 10:54:44	ga_ls7e_ard_3-0-0_108069_2004-05-18_final
2004-06-29 09:59:09	ga_ls7e_ard_3-0-0_098085_2004-06-29_final
2004-07-05 10:54:33	ga_ls7e_ard_3-0-0_108069_2004-07-05_final
2004-08-17 10:38:36	ga_ls7e_ard_3-0-0_105076_2004-08-17_final
2004-10-25 10:54:19	ga_ls7e_ard_3-0-0_108069_2004-10-25_final
2005-01-18 11:19:29	ga_ls7e_ard_3-0-0_111084_2005-01-18_final
2005-06-22 10:54:58	ga_ls7e_ard_3-0-0_108069_2005-06-22_final
2006-01-02 10:43:45	ga_ls7e_ard_3-0-0_106071_2006-01-02_final
2006-02-05 10:32:27	ga_ls7e_ard_3-0-0_104073_2006-02-05_final
2007-07-03 11:17:07	ga_ls7e_ard_3-0-0_111076_2007-07-03_final
2007-07-18 10:32:37	ga_ls7e_ard_3-0-0_104073_2007-07-18_final
2007-08-09 10:00:13	ga_ls7e_ard_3-0-0_098085_2007-08-09_final
2008-09-28 09:58:31	ga_ls7e_ard_3-0-0_098084_2008-09-28_final
2008-11-19 09:33:01	ga_ls7e_ard_3-0-0_094081_2008-11-19_final
2009-02-20 10:38:33	ga_ls7e_ard_3-0-0_105073_2009-02-20_final
2009-05-05 09:36:49	ga_ls7e_ard_3-0-0_095072_2009-05-05_final
2009-10-14 09:28:09	ga_ls7e_ard_3-0-0_093082_2009-10-13_final
2010-06-09 11:22:13	ga_ls7e_ard_3-0-0_111084_2010-06-09_final
2010-09-27 11:34:19	ga_ls7e_ard_3-0-0_113083_2010-09-27_final
2011-01-11 10:32:42	ga_ls7e_ard_3-0-0_103081_2011-01-11_final
2011-02-17 09:15:20	ga_ls7e_ard_3-0-0_090088_2011-02-16_final
2011-09-06 10:43:08	ga_ls7e_ard_3-0-0_105076_2011-09-06_final
2011-09-07 09:51:30	ga_ls7e_ard_3-1-0_096086_2011-09-07_final
2011-10-21 10:13:50	ga_ls7e_ard_3-0-0_100080_2011-10-21_final
2012-03-02 10:33:09	ga_ls7e_ard_3-0-0_103080_2012-03-02_final
2012-06-26 10:05:13	ga_ls7e_ard_3-0-0_099071_2012-06-26_final
2012-08-23 10:44:37	ga_ls7e_ard_3-0-0_105075_2012-08-23_final
2012-12-03 10:06:42	ga_ls7e_ard_3-0-0_099071_2012-12-03_final
2014-04-15 09:58:14	ga_ls7e_ard_3-0-0_097078_2014-04-15_final
2014-12-24 09:31:35	ga_ls7e_ard_3-0-0_092085_2014-12-24_final
2015-04-27 09:57:27	ga_ls7e_ard_3-1-0_096086_2015-04-27_final
2015-06-19 10:15:08	ga_ls7e_ard_3-0-0_099083_2015-06-19_final
2015-12-22 10:47:53	ga_ls7e_ard_3-0-0_105068_2015-12-22_final
2016-01-31 10:01:21	ga_ls7e_ard_3-0-0_097074_2016-01-31_final
2016-03-07 11:18:09	ga_ls7e_ard_3-0-0_109080_2016-03-07_final
2016-11-22 10:51:56	ga_ls7e_ard_3-0-0_105075_2016-11-22_final
2018-05-04 10:50:12	ga_ls7e_ard_3-0-0_105076_2018-05-04_final
2018-09-08 10:03:49	ga_ls7e_ard_3-0-0_098074_2018-09-08_final
2018-11-03 10:55:10	ga_ls7e_ard_3-0-0_106082_2018-11-03_final
2019-01-21 11:45:48	ga_ls7e_ard_3-0-0_115075_2019-01-21_final
2019-08-20 10:27:26	ga_ls7e_ard_3-0-0_104068_2019-08-20_final
2020-02-18 09:42:37	ga_ls7e_ard_3-1-0_098070_2020-02-18_final
2020-02-24 09:09:37	ga_ls7e_ard_3-1-0_092081_2020-02-23_final
2020-05-07 09:02:29	ga_ls7e_ard_3-1-0_091089_2020-05-06_final
2020-10-30 10:24:45	ga_ls7e_ard_3-1-0_107075_2020-10-30_final
2021-05-28 09:55:54	ga_ls7e_ard_3-2-0_105074_2021-05-28_final
2021-06-12 09:14:59	ga_ls7e_ard_3-2-0_098083_2021-06-11_final
2021-06-13 09:54:59	ga_ls7e_ard_3-2-0_105075_2021-06-13_final
2021-08-10 10:26:42	ga_ls7e_ard_3-2-0_111074_2021-08-10_final
2022-03-19 09:35:46	ga_ls7e_ard_3-2-1_106076_2022-03-19_final
2022-04-03 10:30:22	ga_ls7e_ard_3-2-1_115077_2022-04-03_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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