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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

69 results

Time (local)	Label
1999-09-29 09:56:34	ga_ls7e_ard_3-0-0_097084_1999-09-29_final
2000-01-01 10:06:19	ga_ls7e_ard_3-0-0_099078_2000-01-01_final
2000-02-28 10:41:39	ga_ls7e_ard_3-0-0_105074_2000-02-28_final
2000-10-25 09:03:58	ga_ls7e_ard_3-0-0_089083_2000-10-24_final
2001-03-09 09:09:26	ga_ls7e_ard_3-0-0_090081_2001-03-08_final
2001-05-19 09:18:43	ga_ls7e_ard_3-0-0_091090_2001-05-18_final
2002-01-19 09:27:03	ga_ls7e_ard_3-1-0_094067_2002-01-18_final
2002-02-23 09:58:25	ga_ls7e_ard_3-0-0_099068_2002-02-23_final
2002-12-24 11:40:44	ga_ls7e_ard_3-0-0_115078_2002-12-24_final
2003-09-28 11:02:19	ga_ls7e_ard_3-0-0_109075_2003-09-28_final
2004-02-02 10:18:21	ga_ls7e_ard_3-0-0_102071_2004-02-02_final
2004-03-19 10:35:17	ga_ls7e_ard_3-0-0_104082_2004-03-19_final
2004-03-23 10:06:11	ga_ls7e_ard_3-0-0_100071_2004-03-23_final
2004-04-16 10:56:42	ga_ls7e_ard_3-0-0_108074_2004-04-16_final
2004-07-05 10:56:33	ga_ls7e_ard_3-0-0_108074_2004-07-05_final
2004-11-10 10:56:28	ga_ls7e_ard_3-0-0_108074_2004-11-10_final
2005-01-18 11:19:29	ga_ls7e_ard_3-0-0_111084_2005-01-18_final
2005-02-11 10:29:00	ga_ls7e_ard_3-0-0_103081_2005-02-11_final
2005-04-12 10:54:57	ga_ls7e_ard_3-0-0_107084_2005-04-12_final
2005-08-18 09:17:23	ga_ls7e_ard_3-0-0_091088_2005-08-17_final
2005-08-21 11:18:46	ga_ls7e_ard_3-0-0_112067_2005-08-21_final
2005-12-12 10:25:28	ga_ls7e_ard_3-0-0_103072_2005-12-12_final
2006-12-11 10:50:19	ga_ls7e_ard_3-0-0_107071_2006-12-11_final
2007-02-02 11:07:28	ga_ls7e_ard_3-0-0_110067_2007-02-02_final
2007-07-17 11:25:51	ga_ls7e_ard_3-0-0_113067_2007-07-17_final
2009-06-21 10:32:50	ga_ls7e_ard_3-0-0_104073_2009-06-21_final
2009-07-17 09:28:33	ga_ls7e_ard_3-1-0_094067_2009-07-16_final
2009-12-31 09:35:41	ga_ls7e_ard_3-0-0_095067_2009-12-31_final
2010-03-26 10:01:55	ga_ls7e_ard_3-0-0_098084_2010-03-26_final
2010-05-28 10:56:17	ga_ls7e_ard_3-0-0_107081_2010-05-28_final
2010-06-13 09:19:48	ga_ls7e_ard_3-0-0_091087_2010-06-12_final
2010-06-29 09:21:03	ga_ls7e_ard_3-0-0_091090_2010-06-28_final
2010-11-29 10:45:40	ga_ls7e_ard_3-0-0_106068_2010-11-29_final
2011-03-12 09:16:50	ga_ls7e_ard_3-0-0_091076_2011-03-11_final
2011-07-26 11:45:06	ga_ls7e_ard_3-0-0_115076_2011-07-26_final
2012-01-18 10:09:32	ga_ls7e_ard_3-0-0_099083_2012-01-18_final
2012-05-08 11:02:57	ga_ls7e_ard_3-0-0_108076_2012-05-08_final
2014-02-19 09:54:28	ga_ls7e_ard_3-0-0_096085_2014-02-19_final
2014-08-04 09:20:20	ga_ls7e_ard_3-0-0_090090_2014-08-03_final
2015-01-03 10:03:04	ga_ls7e_ard_3-0-0_098071_2015-01-03_final
2015-03-06 10:20:59	ga_ls7e_ard_3-0-0_100084_2015-03-06_final
2015-06-23 09:46:01	ga_ls7e_ard_3-0-0_095072_2015-06-23_final
2016-01-20 10:19:24	ga_ls7e_ard_3-0-0_100073_2016-01-20_final
2016-02-14 10:11:24	ga_ls7e_ard_3-0-0_099068_2016-02-14_final
2016-06-24 10:45:23	ga_ls7e_ard_3-0-0_104074_2016-06-24_final
2016-07-14 10:21:51	ga_ls7e_ard_3-0-0_100077_2016-07-14_final
2017-02-01 09:22:42	ga_ls7e_ard_3-1-0_090085_2017-01-31_final
2017-03-25 10:35:29	ga_ls7e_ard_3-0-0_102081_2017-03-25_final
2017-07-31 10:35:54	ga_ls7e_ard_3-0-0_102081_2017-07-31_final
2017-11-23 11:02:19	ga_ls7e_ard_3-0-0_107070_2017-11-23_final
2019-02-11 10:27:13	ga_ls7e_ard_3-0-0_102081_2019-02-11_final
2019-03-24 10:17:44	ga_ls7e_ard_3-1-0_101076_2019-03-24_final
2019-04-02 10:09:15	ga_ls7e_ard_3-0-0_100071_2019-04-02_final
2019-04-05 10:39:39	ga_ls7e_ard_3-0-0_105070_2019-04-05_final
2019-08-27 10:36:31	ga_ls7e_ard_3-1-0_105076_2019-08-27_final
2019-12-19 10:17:25	ga_ls7e_ard_3-1-0_103072_2019-12-19_final
2020-01-17 09:44:38	ga_ls7e_ard_3-1-0_098071_2020-01-17_final
2020-01-23 10:50:32	ga_ls7e_ard_3-1-0_108082_2020-01-23_final
2020-04-01 09:24:55	ga_ls7e_ard_3-1-0_095078_2020-03-31_final
2020-05-15 09:46:38	ga_ls7e_ard_3-1-0_099077_2020-05-15_final
2020-06-23 09:53:18	ga_ls7e_ard_3-1-0_100084_2020-06-23_final
2020-08-10 09:47:58	ga_ls7e_ard_3-1-0_100078_2020-08-10_final
2020-12-31 10:35:52	ga_ls7e_ard_3-1-0_109083_2020-12-31_final
2021-01-22 09:52:51	ga_ls7e_ard_3-2-0_103072_2021-01-22_final
2021-06-13 08:18:53	ga_ls7e_ard_3-2-0_089082_2021-06-12_final
2021-07-21 09:17:54	ga_ls7e_ard_3-2-0_099083_2021-07-20_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_final
2022-03-18 08:49:49	ga_ls7e_ard_3-2-1_099069_2022-03-17_final
2022-04-01 09:04:27	ga_ls7e_ard_3-2-1_101078_2022-03-31_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