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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

68 results

Time (local)	Label
1999-10-26 11:11:11	ga_ls7e_ard_3-0-0_110070_1999-10-26_final
1999-11-05 10:12:35	ga_ls7e_ard_3-0-0_100078_1999-11-05_final
2000-02-05 09:00:18	ga_ls7e_ard_3-0-0_088083_2000-02-04_final
2000-04-12 09:28:45	ga_ls7e_ard_3-0-0_093078_2000-04-11_final
2000-07-06 11:25:03	ga_ls7e_ard_3-0-0_112077_2000-07-06_final
2001-03-08 10:06:39	ga_ls7e_ard_3-0-0_099085_2001-03-08_final
2002-09-08 10:21:13	ga_ls7e_ard_3-0-0_102081_2002-09-08_final
2003-02-11 09:07:46	ga_ls7e_ard_3-0-0_090081_2003-02-10_final
2003-05-25 10:52:51	ga_ls7e_ard_3-0-0_107081_2003-05-25_final
2003-11-26 10:46:39	ga_ls7e_ard_3-0-0_106081_2003-11-26_final
2003-12-05 10:38:29	ga_ls7e_ard_3-0-0_105076_2003-12-05_final
2004-04-25 10:53:17	ga_ls7e_ard_3-0-0_107081_2004-04-25_final
2004-07-03 11:07:19	ga_ls7e_ard_3-0-0_110070_2004-07-03_final
2004-10-14 09:35:23	ga_ls7e_ard_3-1-0_095073_2004-10-14_final
2004-11-10 09:17:59	ga_ls7e_ard_3-0-0_092075_2004-11-09_final
2005-01-06 10:53:32	ga_ls7e_ard_3-0-0_107081_2005-01-06_final
2005-12-10 10:39:25	ga_ls7e_ard_3-0-0_105076_2005-12-10_final
2005-12-15 09:18:41	ga_ls7e_ard_3-0-0_092075_2005-12-14_final
2006-06-07 11:08:20	ga_ls7e_ard_3-0-0_110070_2006-06-07_final
2006-10-08 10:53:30	ga_ls7e_ard_3-0-0_107081_2006-10-08_final
2007-03-21 10:25:59	ga_ls7e_ard_3-0-0_103071_2007-03-21_final
2007-04-02 10:55:05	ga_ls7e_ard_3-0-0_107082_2007-04-02_final
2007-05-05 11:37:51	ga_ls7e_ard_3-0-0_114081_2007-05-05_final
2007-05-18 09:29:11	ga_ls7e_ard_3-0-0_093084_2007-05-17_final
2007-08-13 11:08:22	ga_ls7e_ard_3-0-0_110070_2007-08-13_final
2007-09-05 11:19:10	ga_ls7e_ard_3-1-0_111082_2007-09-05_final
2007-12-16 10:40:07	ga_ls7e_ard_3-0-0_105076_2007-12-16_final
2008-06-12 11:09:40	ga_ls7e_ard_3-0-0_110074_2008-06-12_final
2009-07-17 11:14:13	ga_ls7e_ard_3-0-0_110084_2009-07-17_final
2009-10-01 11:37:32	ga_ls7e_ard_3-0-0_114081_2009-10-01_final
2009-10-28 09:39:57	ga_ls7e_ard_3-0-0_095080_2009-10-28_final
2009-11-06 09:31:30	ga_ls7e_ard_3-0-0_094074_2009-11-06_final
2010-02-21 10:56:55	ga_ls7e_ard_3-0-0_107083_2010-02-21_final
2010-03-30 11:10:30	ga_ls7e_ard_3-0-0_110070_2010-03-30_final
2010-05-01 11:10:30	ga_ls7e_ard_3-0-0_110070_2010-05-01_final
2010-06-15 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-06-15_final
2010-06-23 11:34:12	ga_ls7e_ard_3-0-0_113083_2010-06-23_final
2010-10-30 10:32:56	ga_ls7e_ard_3-0-0_104068_2010-10-30_final
2011-02-16 11:45:27	ga_ls7e_ard_3-0-0_115077_2011-02-16_final
2011-03-04 10:04:40	ga_ls7e_ard_3-0-0_099072_2011-03-04_final
2011-03-20 10:06:40	ga_ls7e_ard_3-0-0_099077_2011-03-20_final
2011-10-29 10:59:42	ga_ls7e_ard_3-0-0_108071_2011-10-29_final
2011-12-13 10:29:37	ga_ls7e_ard_3-0-0_103072_2011-12-13_final
2012-01-11 11:41:27	ga_ls7e_ard_3-0-0_114081_2012-01-11_final
2012-01-12 10:43:26	ga_ls7e_ard_3-0-0_105075_2012-01-12_final
2012-02-19 10:04:52	ga_ls7e_ard_3-0-0_099071_2012-02-19_final
2012-03-05 09:25:33	ga_ls7e_ard_3-0-0_092081_2012-03-04_final
2012-06-13 09:01:08	ga_ls7e_ard_3-0-0_088081_2012-06-12_final
2012-08-23 10:44:37	ga_ls7e_ard_3-0-0_105075_2012-08-23_final
2012-10-24 10:57:35	ga_ls7e_ard_3-0-0_107075_2012-10-24_final
2014-08-22 09:04:22	ga_ls7e_ard_3-0-0_088081_2014-08-21_final
2014-11-12 10:31:31	ga_ls7e_ard_3-0-0_102081_2014-11-12_final
2015-05-04 09:56:53	ga_ls7e_ard_3-0-0_097069_2015-05-04_final
2015-08-06 11:52:37	ga_ls7e_ard_3-0-0_115079_2015-08-06_final
2016-02-22 09:25:09	ga_ls7e_ard_3-0-0_091076_2016-02-21_final
2016-10-28 09:22:59	ga_ls7e_ard_3-0-0_090084_2016-10-27_final
2016-11-16 11:32:13	ga_ls7e_ard_3-0-0_111083_2016-11-16_final
2017-01-11 10:41:38	ga_ls7e_ard_3-0-0_103081_2017-01-11_final
2017-04-22 11:01:10	ga_ls7e_ard_3-0-0_106083_2017-04-22_final
2017-06-21 11:20:57	ga_ls7e_ard_3-0-0_110070_2017-06-21_final
2017-11-07 09:26:18	ga_ls7e_ard_3-0-0_091077_2017-11-06_final
2020-02-26 10:31:14	ga_ls7e_ard_3-1-0_106069_2020-02-26_final
2020-03-20 10:41:21	ga_ls7e_ard_3-1-0_107082_2020-03-20_final
2021-06-11 08:30:37	ga_ls7e_ard_3-2-0_091080_2021-06-10_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2021-12-31 09:31:29	ga_ls7e_ard_3-2-1_104077_2021-12-31_final
2022-02-08 09:35:27	ga_ls7e_ard_3-2-1_105081_2022-02-08_final
2022-02-27 10:00:53	ga_ls7e_ard_3-2-1_110072_2022-02-27_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