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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

67 results

Time (local)	Label
2000-02-20 09:51:49	ga_ls7e_ard_3-0-0_097073_2000-02-20_final
2000-06-08 09:25:41	ga_ls7e_ard_3-0-0_092087_2000-06-07_final
2000-08-04 10:52:54	ga_ls7e_ard_3-0-0_107075_2000-08-04_final
2002-07-08 10:07:43	ga_ls7e_ard_3-0-0_100077_2002-07-08_final
2002-12-07 10:56:12	ga_ls7e_ard_3-1-0_108075_2002-12-07_final
2003-07-28 09:17:21	ga_ls7e_ard_3-0-0_091090_2003-07-27_final
2003-08-18 11:08:43	ga_ls7e_ard_3-0-0_110075_2003-08-18_final
2003-10-13 10:21:22	ga_ls7e_ard_3-0-0_102081_2003-10-13_final
2004-01-03 10:08:13	ga_ls7e_ard_3-0-0_100077_2004-01-03_final
2004-02-13 09:58:15	ga_ls7e_ard_3-0-0_099067_2004-02-13_final
2004-04-14 11:09:29	ga_ls7e_ard_3-0-0_110075_2004-04-14_final
2004-05-20 10:44:46	ga_ls7e_ard_3-1-0_106075_2004-05-20_final
2004-07-05 10:54:33	ga_ls7e_ard_3-0-0_108069_2004-07-05_final
2004-08-08 09:10:41	ga_ls7e_ard_3-0-0_090088_2004-08-07_final
2004-09-08 10:01:48	ga_ls7e_ard_3-0-0_099077_2004-09-08_final
2004-12-30 09:10:26	ga_ls7e_ard_3-0-0_090086_2004-12-29_final
2005-03-20 09:08:47	ga_ls7e_ard_3-0-0_090081_2005-03-19_final
2005-04-25 10:22:49	ga_ls7e_ard_3-0-0_102081_2005-04-25_final
2006-05-30 10:23:19	ga_ls7e_ard_3-0-0_102081_2006-05-30_final
2006-06-15 10:18:28	ga_ls7e_ard_3-0-0_102069_2006-06-15_final
2006-07-14 09:49:22	ga_ls7e_ard_3-0-0_097074_2006-07-14_final
2006-07-22 10:39:32	ga_ls7e_ard_3-0-0_105076_2006-07-22_final
2006-09-20 11:03:38	ga_ls7e_ard_3-0-0_109075_2006-09-20_final
2006-10-31 10:56:53	ga_ls7e_ard_3-0-0_108073_2006-10-31_final
2007-05-06 10:40:14	ga_ls7e_ard_3-0-0_105076_2007-05-06_final
2007-06-04 10:09:33	ga_ls7e_ard_3-0-0_100077_2007-06-04_final
2007-07-06 10:09:32	ga_ls7e_ard_3-0-0_100077_2007-07-06_final
2008-01-08 10:43:09	ga_ls7e_ard_3-0-0_106068_2008-01-08_final
2008-10-14 09:58:23	ga_ls7e_ard_3-0-0_098084_2008-10-14_final
2008-11-18 10:28:14	ga_ls7e_ard_3-0-0_103080_2008-11-18_final
2008-11-25 10:35:18	ga_ls7e_ard_3-0-0_104082_2008-11-25_final
2008-12-24 10:03:05	ga_ls7e_ard_3-0-0_099078_2008-12-24_final
2008-12-27 10:35:36	ga_ls7e_ard_3-0-0_104082_2008-12-27_final
2009-01-10 09:11:33	ga_ls7e_ard_3-0-0_090088_2009-01-09_final
2009-04-06 10:09:36	ga_ls7e_ard_3-0-0_100077_2009-04-06_final
2009-12-27 10:04:43	ga_ls7e_ard_3-0-0_099078_2009-12-27_final
2010-12-26 10:27:22	ga_ls7e_ard_3-0-0_103068_2010-12-26_final
2011-04-18 09:34:37	ga_ls7e_ard_3-0-0_094074_2011-04-18_final
2011-06-16 10:55:21	ga_ls7e_ard_3-0-0_107075_2011-06-16_final
2012-05-14 10:27:59	ga_ls7e_ard_3-0-0_102081_2012-05-14_final
2012-07-02 11:08:18	ga_ls7e_ard_3-0-0_109074_2012-07-02_final
2014-03-03 10:16:04	ga_ls7e_ard_3-0-0_100077_2014-03-03_final
2014-05-14 11:05:15	ga_ls7e_ard_3-0-0_108075_2014-05-14_final
2014-06-01 09:20:04	ga_ls7e_ard_3-0-0_090090_2014-05-31_final
2014-08-22 09:04:22	ga_ls7e_ard_3-0-0_088081_2014-08-21_final
2014-12-09 10:08:43	ga_ls7e_ard_3-0-0_099070_2014-12-09_final
2015-08-17 09:50:26	ga_ls7e_ard_3-0-0_096067_2015-08-17_final
2015-12-07 09:51:37	ga_ls7e_ard_3-0-0_096067_2015-12-07_final
2016-04-02 10:11:42	ga_ls7e_ard_3-0-0_099068_2016-04-02_final
2016-10-19 11:04:30	ga_ls7e_ard_3-0-0_107075_2016-10-19_final
2017-01-20 10:32:09	ga_ls7e_ard_3-1-0_102073_2017-01-20_final
2017-02-18 09:59:57	ga_ls7e_ard_3-0-0_097070_2017-02-18_final
2018-03-02 09:58:44	ga_ls7e_ard_3-0-0_096084_2018-03-02_final
2018-03-28 10:34:17	ga_ls7e_ard_3-0-0_102081_2018-03-28_final
2018-06-16 10:33:21	ga_ls7e_ard_3-0-0_102082_2018-06-16_final
2019-01-06 09:12:35	ga_ls7e_ard_3-0-0_090077_2019-01-05_final
2019-07-04 11:18:11	ga_ls7e_ard_3-1-0_111082_2019-07-04_final
2019-12-22 10:47:46	ga_ls7e_ard_3-1-0_108071_2019-12-22_final
2020-03-07 09:28:06	ga_ls7e_ard_3-1-0_096067_2020-03-06_final
2020-04-03 10:50:08	ga_ls7e_ard_3-1-0_109075_2020-04-03_final
2020-05-26 11:08:17	ga_ls7e_ard_3-1-0_112082_2020-05-26_final
2020-05-28 10:51:25	ga_ls7e_ard_3-1-0_110071_2020-05-28_final
2020-09-03 10:34:15	ga_ls7e_ard_3-1-0_108074_2020-09-03_final
2021-09-08 09:53:41	ga_ls7e_ard_3-2-0_106075_2021-09-08_final
2021-11-01 09:10:10	ga_ls7e_ard_3-2-0_100071_2021-10-31_final
2021-12-12 08:59:16	ga_ls7e_ard_3-2-1_099069_2021-12-11_final
2022-03-22 10:04:00	ga_ls7e_ard_3-2-1_111070_2022-03-22_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

All years