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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

60 results

Time (local)	Label
2000-08-11 09:25:20	ga_ls7e_ard_3-0-0_092088_2000-08-10_final
2000-09-29 09:59:58	ga_ls7e_ard_3-0-0_099068_2000-09-29_final
2001-02-08 11:16:05	ga_ls7e_ard_3-1-0_111073_2001-02-08_final
2001-03-23 10:58:32	ga_ls7e_ard_3-0-0_108076_2001-03-23_final
2002-01-05 10:56:13	ga_ls7e_ard_3-0-0_108074_2002-01-05_final
2003-03-29 10:56:13	ga_ls7e_ard_3-0-0_108074_2003-03-29_final
2003-08-21 10:01:31	ga_ls7e_ard_3-0-0_099077_2003-08-21_final
2003-11-30 10:22:19	ga_ls7e_ard_3-0-0_102082_2003-11-30_final
2004-06-17 11:08:55	ga_ls7e_ard_3-0-0_110074_2004-06-17_final
2004-08-30 10:10:27	ga_ls7e_ard_3-0-0_100083_2004-08-30_final
2004-09-07 10:56:14	ga_ls7e_ard_3-0-0_108074_2004-09-07_final
2005-01-14 09:58:56	ga_ls7e_ard_3-0-0_099068_2005-01-14_final
2005-04-17 11:12:15	ga_ls7e_ard_3-0-0_110081_2005-04-17_final
2005-05-02 10:29:02	ga_ls7e_ard_3-0-0_103081_2005-05-02_final
2005-06-07 10:03:02	ga_ls7e_ard_3-0-0_099078_2005-06-07_final
2006-02-07 10:23:17	ga_ls7e_ard_3-0-0_102081_2006-02-07_final
2006-06-18 09:17:39	ga_ls7e_ard_3-0-0_091087_2006-06-17_final
2007-01-08 11:15:30	ga_ls7e_ard_3-0-0_111072_2007-01-08_final
2007-01-22 09:47:49	ga_ls7e_ard_3-0-0_097069_2007-01-22_final
2007-03-26 10:48:07	ga_ls7e_ard_3-0-0_106080_2007-03-26_final
2007-04-30 09:42:03	ga_ls7e_ard_3-0-0_095085_2007-04-30_final
2007-09-01 10:03:26	ga_ls7e_ard_3-0-0_099078_2007-09-01_final
2008-02-04 10:26:10	ga_ls7e_ard_3-0-0_103072_2008-02-04_final
2009-05-07 11:04:57	ga_ls7e_ard_3-0-0_109076_2009-05-07_final
2009-08-16 11:19:38	ga_ls7e_ard_3-0-0_112067_2009-08-16_final
2009-11-01 10:54:10	ga_ls7e_ard_3-0-0_107080_2009-11-01_final
2010-03-28 09:43:58	ga_ls7e_ard_3-0-0_096070_2010-03-28_final
2010-03-28 11:21:40	ga_ls7e_ard_3-0-0_112067_2010-03-28_final
2010-04-22 11:22:17	ga_ls7e_ard_3-0-0_111084_2010-04-22_final
2010-05-28 09:20:59	ga_ls7e_ard_3-0-0_091090_2010-05-27_final
2010-05-31 09:44:43	ga_ls7e_ard_3-0-0_096072_2010-05-31_final
2010-11-27 09:26:19	ga_ls7e_ard_3-0-0_092086_2010-11-26_final
2012-05-24 09:27:39	ga_ls7e_ard_3-0-0_092085_2012-05-23_final
2012-07-11 11:03:04	ga_ls7e_ard_3-0-0_108076_2012-07-11_final
2015-02-15 11:24:22	ga_ls7e_ard_3-0-0_111073_2015-02-15_final
2016-05-01 11:22:40	ga_ls7e_ard_3-0-0_110075_2016-05-01_final
2016-08-31 10:22:23	ga_ls7e_ard_3-0-0_100078_2016-08-31_final
2016-11-16 11:28:13	ga_ls7e_ard_3-0-0_111073_2016-11-16_final
2017-01-11 10:41:14	ga_ls7e_ard_3-0-0_103080_2017-01-11_final
2017-05-24 10:58:29	ga_ls7e_ard_3-0-0_106076_2017-05-24_final
2017-08-23 10:40:51	ga_ls7e_ard_3-0-0_103078_2017-08-23_final
2017-09-01 10:35:52	ga_ls7e_ard_3-0-0_102081_2017-09-01_final
2017-12-14 09:47:23	ga_ls7e_ard_3-0-0_094084_2017-12-14_final
2018-03-28 10:34:41	ga_ls7e_ard_3-0-0_102082_2018-03-28_final
2018-06-16 10:27:46	ga_ls7e_ard_3-0-0_102068_2018-06-16_final
2018-07-28 09:32:45	ga_ls7e_ard_3-0-0_092087_2018-07-28_final
2018-12-04 10:05:58	ga_ls7e_ard_3-0-0_099069_2018-12-04_final
2018-12-30 10:47:29	ga_ls7e_ard_3-0-0_105082_2018-12-30_final
2019-07-17 09:10:41	ga_ls7e_ard_3-0-0_090089_2019-07-16_final
2019-07-26 10:37:27	ga_ls7e_ard_3-0-0_105075_2019-07-26_final
2019-11-17 10:18:59	ga_ls7e_ard_3-1-0_103072_2019-11-17_final
2019-12-27 09:27:58	ga_ls7e_ard_3-1-0_095073_2019-12-26_final
2020-05-09 10:23:17	ga_ls7e_ard_3-1-0_105075_2020-05-09_final
2020-08-09 10:42:51	ga_ls7e_ard_3-1-0_109076_2020-08-09_final
2020-11-22 08:53:16	ga_ls7e_ard_3-1-0_092082_2020-11-21_final
2020-11-24 08:43:57	ga_ls7e_ard_3-1-0_090090_2020-11-23_final
2020-12-07 09:47:24	ga_ls7e_ard_3-1-0_101081_2020-12-07_final
2021-07-12 09:22:27	ga_ls7e_ard_3-2-0_100077_2021-07-11_final
2021-11-28 08:52:37	ga_ls7e_ard_3-2-1_097080_2021-11-27_final
2022-02-04 09:56:12	ga_ls7e_ard_3-2-1_109070_2022-02-04_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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