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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

63 results

Time (local)	Label
2001-01-08 10:18:55	ga_ls7e_ard_3-0-0_102069_2001-01-08_final
2001-10-24 11:02:24	ga_ls7e_ard_3-0-0_109075_2001-10-24_final
2003-01-27 09:51:39	ga_ls7e_ard_3-0-0_097083_2003-01-27_final
2003-05-21 09:39:27	ga_ls7e_ard_3-0-0_095083_2003-05-21_final
2004-01-22 10:37:13	ga_ls7e_ard_3-0-0_105072_2004-01-22_final
2005-01-09 11:24:27	ga_ls7e_ard_3-0-0_112081_2005-01-09_final
2005-08-06 10:25:13	ga_ls7e_ard_3-0-0_103072_2005-08-06_final
2005-11-08 09:01:08	ga_ls7e_ard_3-0-0_089078_2005-11-07_final
2006-01-07 09:24:39	ga_ls7e_ard_3-0-0_093074_2006-01-06_final
2006-03-31 09:57:25	ga_ls7e_ard_3-0-0_098078_2006-03-31_final
2006-11-24 10:06:56	ga_ls7e_ard_3-0-0_100071_2006-11-24_final
2007-06-05 09:14:44	ga_ls7e_ard_3-0-0_091079_2007-06-04_final
2007-09-01 10:03:50	ga_ls7e_ard_3-0-0_099079_2007-09-01_final
2007-11-12 10:50:15	ga_ls7e_ard_3-0-0_107071_2007-11-12_final
2007-12-06 10:00:59	ga_ls7e_ard_3-0-0_099071_2007-12-06_final
2008-04-29 10:43:16	ga_ls7e_ard_3-0-0_106069_2008-04-29_final
2009-01-26 10:42:32	ga_ls7e_ard_3-0-0_106068_2009-01-26_final
2009-05-23 11:07:22	ga_ls7e_ard_3-0-0_109082_2009-05-23_final
2009-10-10 09:52:24	ga_ls7e_ard_3-0-0_097081_2009-10-10_final
2010-05-05 10:44:58	ga_ls7e_ard_3-0-0_106068_2010-05-05_final
2010-05-17 11:13:13	ga_ls7e_ard_3-0-0_110077_2010-05-17_final
2010-05-29 10:01:52	ga_ls7e_ard_3-0-0_098084_2010-05-29_final
2010-05-29 10:02:15	ga_ls7e_ard_3-0-0_098085_2010-05-29_final
2011-11-30 09:27:34	ga_ls7e_ard_3-0-0_092087_2011-11-29_final
2011-12-20 10:34:18	ga_ls7e_ard_3-0-0_104068_2011-12-20_final
2012-05-28 10:39:44	ga_ls7e_ard_3-0-0_104080_2012-05-28_final
2013-03-21 10:35:31	ga_ls7e_ard_3-0-0_103081_2013-03-21_final
2013-04-18 09:23:38	ga_ls7e_ard_3-0-0_091087_2013-04-17_final
2013-07-19 09:44:33	ga_ls7e_ard_3-1-0_095079_2013-07-19_final
2014-02-24 10:06:38	ga_ls7e_ard_3-0-0_099069_2014-02-24_final
2014-04-12 11:04:58	ga_ls7e_ard_3-1-0_108075_2014-04-12_final
2014-06-02 09:54:58	ga_ls7e_ard_3-0-0_097069_2014-06-02_final
2014-09-15 11:33:07	ga_ls7e_ard_3-0-0_112082_2014-09-15_final
2014-11-18 11:30:30	ga_ls7e_ard_3-0-0_112074_2014-11-18_final
2015-05-02 10:10:26	ga_ls7e_ard_3-0-0_099072_2015-05-02_final
2015-05-20 11:37:54	ga_ls7e_ard_3-0-0_113074_2015-05-20_final
2015-06-27 11:04:34	ga_ls7e_ard_3-0-0_107083_2015-06-27_final
2015-10-02 10:04:28	ga_ls7e_ard_3-0-0_098071_2015-10-02_final
2016-05-27 10:19:22	ga_ls7e_ard_3-0-0_100071_2016-05-27_final
2016-06-05 10:15:38	ga_ls7e_ard_3-0-0_099077_2016-06-05_final
2017-01-07 09:27:30	ga_ls7e_ard_3-0-0_091081_2017-01-06_final
2017-02-04 09:48:23	ga_ls7e_ard_3-0-0_095072_2017-02-04_final
2017-06-16 09:29:29	ga_ls7e_ard_3-0-0_091085_2017-06-15_final
2017-08-17 11:16:44	ga_ls7e_ard_3-0-0_109075_2017-08-17_final
2017-12-03 10:06:26	ga_ls7e_ard_3-0-0_097085_2017-12-03_final
2018-01-04 09:59:42	ga_ls7e_ard_3-0-0_097069_2018-01-04_final
2018-04-03 09:56:43	ga_ls7e_ard_3-0-0_096080_2018-04-03_final
2018-08-14 10:12:30	ga_ls7e_ard_3-0-0_099079_2018-08-14_final
2018-12-13 10:00:20	ga_ls7e_ard_3-0-0_098071_2018-12-13_final
2019-02-19 11:14:25	ga_ls7e_ard_3-1-0_110076_2019-02-19_final
2019-03-26 11:43:47	ga_ls7e_ard_3-1-0_115075_2019-03-26_final
2019-08-27 09:00:50	ga_ls7e_ard_3-1-0_089084_2019-08-26_final
2020-03-15 10:19:30	ga_ls7e_ard_3-1-0_104073_2020-03-15_final
2020-08-20 08:48:19	ga_ls7e_ard_3-1-0_090085_2020-08-19_final
2020-10-16 10:14:55	ga_ls7e_ard_3-1-0_105079_2020-10-16_final
2020-12-06 10:39:06	ga_ls7e_ard_3-1-0_110071_2020-12-06_final
2021-01-24 09:41:57	ga_ls7e_ard_3-2-0_101076_2021-01-24_final
2021-01-29 10:01:19	ga_ls7e_ard_3-2-0_104079_2021-01-29_final
2021-04-26 09:59:24	ga_ls7e_ard_3-2-0_105076_2021-04-26_final
2021-08-22 09:12:17	ga_ls7e_ard_3-2-0_099076_2021-08-21_final
2021-12-13 08:06:45	ga_ls7e_ard_3-2-1_090077_2021-12-12_final
2022-02-02 10:08:22	ga_ls7e_ard_3-2-1_111069_2022-02-02_final
2022-03-27 08:42:48	ga_ls7e_ard_3-2-1_098069_2022-03-26_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

All years