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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

70 results

Time (local)	Label
1999-10-10 09:37:39	ga_ls7e_ard_3-1-0_094083_1999-10-10_final
2000-04-22 10:03:49	ga_ls7e_ard_3-0-0_099073_2000-04-22_final
2001-06-06 09:00:58	ga_ls7e_ard_3-0-0_089077_2001-06-05_final
2001-06-27 10:56:52	ga_ls7e_ard_3-0-0_108074_2001-06-27_final
2002-02-05 10:13:32	ga_ls7e_ard_3-1-0_101075_2002-02-05_final
2002-12-30 11:02:04	ga_ls7e_ard_3-0-0_109074_2002-12-30_final
2003-01-18 09:53:48	ga_ls7e_ard_3-0-0_098073_2003-01-18_final
2003-04-12 11:08:40	ga_ls7e_ard_3-0-0_110074_2003-04-12_final
2003-10-23 10:55:52	ga_ls7e_ard_3-0-0_108074_2003-10-23_final
2003-11-26 10:44:15	ga_ls7e_ard_3-1-0_106075_2003-11-26_final
2003-12-03 10:48:26	ga_ls7e_ard_3-0-0_107070_2003-12-03_final
2004-03-10 10:39:01	ga_ls7e_ard_3-0-0_105076_2004-03-10_final
2004-12-07 10:38:33	ga_ls7e_ard_3-0-0_105075_2004-12-07_final
2005-04-30 10:38:59	ga_ls7e_ard_3-0-0_105075_2005-04-30_final
2005-07-17 09:15:30	ga_ls7e_ard_3-0-0_091083_2005-07-16_final
2006-04-17 10:37:24	ga_ls7e_ard_3-0-0_105070_2006-04-17_final
2006-05-03 10:39:27	ga_ls7e_ard_3-0-0_105075_2006-05-03_final
2006-06-20 10:39:46	ga_ls7e_ard_3-0-0_105076_2006-06-20_final
2007-01-08 11:16:18	ga_ls7e_ard_3-0-0_111074_2007-01-08_final
2007-05-26 10:17:46	ga_ls7e_ard_3-0-0_101082_2007-05-26_final
2007-09-27 10:39:34	ga_ls7e_ard_3-0-0_105076_2007-09-27_final
2008-01-28 10:19:36	ga_ls7e_ard_3-0-0_102071_2008-01-28_final
2009-02-19 10:00:05	ga_ls7e_ard_3-0-0_098085_2009-02-19_final
2009-03-31 09:10:33	ga_ls7e_ard_3-0-0_090084_2009-03-30_final
2009-06-12 10:40:14	ga_ls7e_ard_3-0-0_105076_2009-06-12_final
2009-06-20 09:47:59	ga_ls7e_ard_3-0-0_097069_2009-06-20_final
2010-03-05 11:17:45	ga_ls7e_ard_3-0-0_111073_2010-03-05_final
2010-06-07 09:49:42	ga_ls7e_ard_3-0-0_097069_2010-06-07_final
2010-07-16 09:59:57	ga_ls7e_ard_3-0-0_098079_2010-07-16_final
2010-09-13 09:36:42	ga_ls7e_ard_3-0-0_095067_2010-09-13_final
2010-09-19 10:42:53	ga_ls7e_ard_3-0-0_105078_2010-09-19_final
2010-11-19 10:12:04	ga_ls7e_ard_3-0-0_100077_2010-11-19_final
2011-01-08 09:58:11	ga_ls7e_ard_3-0-0_098072_2011-01-08_final
2011-02-04 09:45:24	ga_ls7e_ard_3-0-0_095086_2011-02-04_final
2011-03-30 10:43:00	ga_ls7e_ard_3-0-0_105075_2011-03-30_final
2011-05-15 09:21:14	ga_ls7e_ard_3-0-0_091087_2011-05-14_final
2011-08-05 10:43:14	ga_ls7e_ard_3-0-0_105076_2011-08-05_final
2011-08-21 09:06:43	ga_ls7e_ard_3-0-0_089082_2011-08-20_final
2011-10-27 11:12:28	ga_ls7e_ard_3-1-0_110072_2011-10-27_final
2011-10-27 11:16:51	ga_ls7e_ard_3-0-0_110083_2011-10-27_final
2011-12-21 09:45:53	ga_ls7e_ard_3-0-0_095086_2011-12-21_final
2013-09-16 11:01:36	ga_ls7e_ard_3-0-0_108070_2013-09-16_final
2014-06-21 10:30:41	ga_ls7e_ard_3-0-0_102081_2014-06-21_final
2014-07-27 10:04:57	ga_ls7e_ard_3-0-0_098078_2014-07-27_final
2014-08-25 09:36:51	ga_ls7e_ard_3-0-0_093085_2014-08-25_final
2014-12-14 10:32:07	ga_ls7e_ard_3-0-0_102082_2014-12-14_final
2015-02-24 11:18:19	ga_ls7e_ard_3-0-0_110073_2015-02-24_final
2015-03-09 10:50:41	ga_ls7e_ard_3-0-0_105081_2015-03-09_final
2015-08-26 09:44:15	ga_ls7e_ard_3-0-0_095067_2015-08-26_final
2017-02-16 10:13:05	ga_ls7e_ard_3-0-0_099072_2017-02-16_final
2017-07-14 09:47:04	ga_ls7e_ard_3-0-0_095067_2017-07-14_final
2017-08-26 11:10:33	ga_ls7e_ard_3-1-0_108075_2017-08-26_final
2018-06-02 10:19:38	ga_ls7e_ard_3-0-0_100078_2018-06-02_final
2018-07-05 09:26:59	ga_ls7e_ard_3-0-0_091087_2018-07-04_final
2019-04-30 10:37:21	ga_ls7e_ard_3-0-0_104082_2019-04-30_final
2019-07-18 09:45:56	ga_ls7e_ard_3-0-0_097069_2019-07-18_final
2019-08-22 10:20:11	ga_ls7e_ard_3-0-0_102081_2019-08-22_final
2019-10-21 10:39:56	ga_ls7e_ard_3-1-0_106075_2019-10-21_final
2020-01-21 10:58:36	ga_ls7e_ard_3-1-0_110071_2020-01-21_final
2020-01-21 10:59:48	ga_ls7e_ard_3-1-0_110074_2020-01-21_final
2020-05-05 10:48:15	ga_ls7e_ard_3-1-0_109075_2020-05-05_final
2020-05-21 10:50:52	ga_ls7e_ard_3-1-0_109084_2020-05-21_final
2020-07-23 09:59:27	ga_ls7e_ard_3-1-0_102073_2020-07-23_final
2020-11-22 10:28:33	ga_ls7e_ard_3-1-0_108073_2020-11-22_final
2021-02-09 09:43:10	ga_ls7e_ard_3-2-0_101082_2021-02-09_final
2021-08-26 08:43:38	ga_ls7e_ard_3-2-0_095067_2021-08-25_final
2021-11-19 08:55:16	ga_ls7e_ard_3-2-1_098069_2021-11-18_final
2021-12-31 09:31:29	ga_ls7e_ard_3-2-1_104077_2021-12-31_final
2022-01-14 08:02:50	ga_ls7e_ard_3-2-1_090075_2022-01-13_final
2022-01-17 08:37:50	ga_ls7e_ard_3-2-1_095086_2022-01-16_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