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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
1999-09-29 11:34:39	ga_ls7e_ard_3-0-0_113082_1999-09-29_final
1999-12-12 10:32:23	ga_ls7e_ard_3-0-0_103081_1999-12-12_final
2000-02-24 11:07:32	ga_ls7e_ard_3-0-0_109077_2000-02-24_final
2000-08-28 11:41:45	ga_ls7e_ard_3-0-0_115074_2000-08-28_final
2000-11-30 10:15:51	ga_ls7e_ard_3-0-0_101077_2000-11-30_final
2001-02-02 10:15:57	ga_ls7e_ard_3-0-0_101077_2001-02-02_final
2001-05-29 09:50:32	ga_ls7e_ard_3-0-0_097077_2001-05-29_final
2001-09-13 11:07:16	ga_ls7e_ard_3-0-0_110071_2001-09-13_final
2001-11-20 10:47:18	ga_ls7e_ard_3-0-0_106083_2001-11-20_final
2003-03-14 10:02:39	ga_ls7e_ard_3-0-0_099079_2003-03-14_final
2003-04-15 10:02:16	ga_ls7e_ard_3-0-0_099078_2003-04-15_final
2003-10-10 09:45:36	ga_ls7e_ard_3-0-0_097069_2003-10-10_final
2004-02-08 09:47:17	ga_ls7e_ard_3-1-0_096086_2004-02-08_final
2004-04-02 09:06:46	ga_ls7e_ard_3-0-0_090077_2004-04-01_final
2004-07-05 10:55:21	ga_ls7e_ard_3-0-0_108071_2004-07-05_final
2004-12-12 10:55:08	ga_ls7e_ard_3-0-0_108070_2004-12-12_final
2005-03-11 10:54:39	ga_ls7e_ard_3-0-0_107083_2005-03-11_final
2005-05-08 09:53:10	ga_ls7e_ard_3-0-0_097084_2005-05-08_final
2005-12-16 10:00:21	ga_ls7e_ard_3-0-0_099071_2005-12-16_final
2006-02-18 10:04:47	ga_ls7e_ard_3-0-0_099081_2006-02-18_final
2006-03-08 09:47:40	ga_ls7e_ard_3-0-0_097069_2006-03-08_final
2006-03-15 09:57:50	ga_ls7e_ard_3-0-0_098079_2006-03-15_final
2006-05-15 09:24:55	ga_ls7e_ard_3-0-0_093074_2006-05-14_final
2006-07-05 09:54:25	ga_ls7e_ard_3-0-0_098071_2006-07-05_final
2006-09-18 11:19:12	ga_ls7e_ard_3-0-0_111083_2006-09-18_final
2006-12-07 11:15:49	ga_ls7e_ard_3-0-0_111073_2006-12-07_final
2007-03-26 10:45:19	ga_ls7e_ard_3-0-0_106073_2007-03-26_final
2007-08-25 09:57:42	ga_ls7e_ard_3-0-0_098079_2007-08-25_final
2007-11-23 10:31:24	ga_ls7e_ard_3-1-0_104070_2007-11-23_final
2009-04-08 09:57:39	ga_ls7e_ard_3-0-0_098078_2009-04-08_final
2009-10-16 10:49:55	ga_ls7e_ard_3-0-0_107070_2009-10-16_final
2010-07-18 09:49:36	ga_ls7e_ard_3-0-0_096084_2010-07-18_final
2010-10-31 09:38:55	ga_ls7e_ard_3-0-0_095072_2010-10-31_final
2011-07-30 11:22:45	ga_ls7e_ard_3-1-0_111082_2011-07-30_final
2011-09-04 09:22:13	ga_ls7e_ard_3-0-0_091090_2011-09-03_final
2011-11-14 09:27:48	ga_ls7e_ard_3-0-0_092088_2011-11-13_final
2012-01-21 09:00:44	ga_ls7e_ard_3-0-0_088081_2012-01-20_final
2012-05-09 10:04:10	ga_ls7e_ard_3-0-0_099068_2012-05-09_final
2012-06-19 11:41:04	ga_ls7e_ard_3-0-0_114079_2012-06-19_final
2012-09-14 11:46:14	ga_ls7e_ard_3-0-0_115074_2012-09-14_final
2012-10-12 10:35:07	ga_ls7e_ard_3-0-0_103081_2012-10-12_final
2013-01-03 11:02:31	ga_ls7e_ard_3-0-0_108071_2013-01-03_final
2013-11-28 11:01:14	ga_ls7e_ard_3-0-0_107083_2013-11-28_final
2014-06-10 10:45:37	ga_ls7e_ard_3-0-0_105072_2014-06-10_final
2015-01-26 10:08:32	ga_ls7e_ard_3-0-0_099069_2015-01-26_final
2015-02-18 10:18:02	ga_ls7e_ard_3-0-0_100077_2015-02-18_final
2015-09-16 10:04:05	ga_ls7e_ard_3-0-0_098070_2015-09-16_final
2016-08-29 10:33:56	ga_ls7e_ard_3-0-0_102076_2016-08-29_final
2016-10-19 09:26:25	ga_ls7e_ard_3-0-0_091077_2016-10-18_final
2016-11-28 11:54:55	ga_ls7e_ard_3-0-0_115078_2016-11-28_final
2017-03-06 11:37:46	ga_ls7e_ard_3-0-0_113067_2017-03-06_final
2017-04-15 10:51:45	ga_ls7e_ard_3-0-0_105075_2017-04-15_final
2017-08-20 10:06:21	ga_ls7e_ard_3-0-0_098069_2017-08-20_final
2017-09-18 11:16:42	ga_ls7e_ard_3-0-0_109075_2017-09-18_final
2017-12-27 09:14:21	ga_ls7e_ard_3-0-0_089079_2017-12-26_final
2018-04-10 10:01:59	ga_ls7e_ard_3-0-0_097078_2018-04-10_final
2018-07-02 10:32:38	ga_ls7e_ard_3-0-0_102081_2018-07-02_final
2018-08-08 09:10:25	ga_ls7e_ard_3-0-0_089078_2018-08-07_final
2019-06-30 10:04:58	ga_ls7e_ard_3-0-0_099084_2019-06-30_final
2019-12-08 08:59:38	ga_ls7e_ard_3-1-0_090077_2019-12-07_final
2021-01-04 10:05:17	ga_ls7e_ard_3-1-0_105069_2021-01-04_final
2021-02-09 09:43:10	ga_ls7e_ard_3-2-0_101082_2021-02-09_final
2021-09-06 08:27:20	ga_ls7e_ard_3-2-0_092075_2021-09-05_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