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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

64 results

Time (local)	Label
1999-12-08 10:57:04	ga_ls7e_ard_3-0-0_107081_1999-12-08_final
2000-04-22 11:43:30	ga_ls7e_ard_3-0-0_115075_2000-04-22_final
2000-09-13 10:03:46	ga_ls7e_ard_3-0-0_099077_2000-09-13_final
2000-10-19 11:15:52	ga_ls7e_ard_3-0-0_111073_2000-10-19_final
2001-02-04 10:04:21	ga_ls7e_ard_3-0-0_099079_2001-02-04_final
2003-09-28 09:28:13	ga_ls7e_ard_3-1-0_093087_2003-09-27_final
2003-11-03 10:37:48	ga_ls7e_ard_3-0-0_105075_2003-11-03_final
2004-01-06 09:01:02	ga_ls7e_ard_3-0-0_089079_2004-01-05_final
2004-03-17 10:45:15	ga_ls7e_ard_3-0-0_106076_2004-03-17_final
2004-04-24 10:08:50	ga_ls7e_ard_3-0-0_100078_2004-04-24_final
2004-07-25 10:34:55	ga_ls7e_ard_3-0-0_104082_2004-07-25_final
2005-08-15 10:18:36	ga_ls7e_ard_3-0-0_102071_2005-08-15_final
2005-10-07 09:03:30	ga_ls7e_ard_3-0-0_089085_2005-10-06_final
2005-12-16 11:40:50	ga_ls7e_ard_3-0-0_115075_2005-12-16_final
2006-01-03 09:51:19	ga_ls7e_ard_3-0-0_097079_2006-01-03_final
2006-02-27 09:53:02	ga_ls7e_ard_3-0-0_098067_2006-02-27_final
2006-03-22 09:59:37	ga_ls7e_ard_3-0-0_099068_2006-03-22_final
2006-04-23 09:59:08	ga_ls7e_ard_3-0-0_099067_2006-04-23_final
2006-12-03 10:00:25	ga_ls7e_ard_3-0-0_099070_2006-12-03_final
2008-03-19 10:49:54	ga_ls7e_ard_3-0-0_107070_2008-03-19_final
2008-05-17 08:56:43	ga_ls7e_ard_3-0-0_088081_2008-05-16_final
2008-06-15 10:02:52	ga_ls7e_ard_3-0-0_099077_2008-06-15_final
2008-12-24 09:58:42	ga_ls7e_ard_3-0-0_099067_2008-12-24_final
2009-03-25 09:40:49	ga_ls7e_ard_3-0-0_096067_2009-03-25_final
2009-03-31 09:10:57	ga_ls7e_ard_3-1-0_090085_2009-03-30_final
2009-07-10 09:30:23	ga_ls7e_ard_3-1-0_093087_2009-07-10_final
2009-12-11 10:00:50	ga_ls7e_ard_3-0-0_099069_2009-12-11_final
2010-04-02 10:02:08	ga_ls7e_ard_3-0-0_099069_2010-04-02_final
2010-05-05 09:13:16	ga_ls7e_ard_3-0-0_090086_2010-05-04_final
2010-10-05 10:41:16	ga_ls7e_ard_3-0-0_105074_2010-10-05_final
2011-01-07 10:58:11	ga_ls7e_ard_3-0-0_107083_2011-01-07_final
2011-01-08 09:57:47	ga_ls7e_ard_3-0-0_098071_2011-01-08_final
2011-02-20 09:40:16	ga_ls7e_ard_3-1-0_095073_2011-02-20_final
2011-06-05 11:10:43	ga_ls7e_ard_3-0-0_110067_2011-06-05_final
2011-07-10 10:06:38	ga_ls7e_ard_3-0-0_099077_2011-07-10_final
2011-10-30 10:03:41	ga_ls7e_ard_3-0-0_099070_2011-10-30_final
2012-02-12 10:03:51	ga_ls7e_ard_3-0-0_098084_2012-02-12_final
2012-05-02 09:57:49	ga_ls7e_ard_3-0-0_098068_2012-05-02_final
2013-06-01 09:42:09	ga_ls7e_ard_3-0-0_095072_2013-06-01_final
2013-08-08 09:22:53	ga_ls7e_ard_3-0-0_091087_2013-08-07_final
2013-08-16 11:48:06	ga_ls7e_ard_3-0-0_115079_2013-08-16_final
2014-06-15 09:31:15	ga_ls7e_ard_3-0-0_092087_2014-06-15_final
2015-04-07 10:18:51	ga_ls7e_ard_3-0-0_100078_2015-04-07_final
2015-09-02 09:52:01	ga_ls7e_ard_3-0-0_096071_2015-09-02_final
2016-01-09 10:40:35	ga_ls7e_ard_3-0-0_103080_2016-01-09_final
2016-08-16 11:04:23	ga_ls7e_ard_3-0-0_107075_2016-08-16_final
2016-09-19 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-09-19_final
2016-12-25 09:54:09	ga_ls7e_ard_3-0-0_096070_2016-12-25_final
2018-07-20 10:16:21	ga_ls7e_ard_3-0-0_100072_2018-07-20_final
2018-07-28 09:31:09	ga_ls7e_ard_3-0-0_092083_2018-07-28_final
2018-10-19 11:35:33	ga_ls7e_ard_3-0-0_113074_2018-10-19_final
2019-01-31 09:08:23	ga_ls7e_ard_3-0-0_089084_2019-01-30_final
2019-05-23 10:39:50	ga_ls7e_ard_3-0-0_105075_2019-05-23_final
2019-07-26 10:37:03	ga_ls7e_ard_3-0-0_105074_2019-07-26_final
2020-01-13 10:10:21	ga_ls7e_ard_3-1-0_102073_2020-01-13_final
2020-02-01 09:02:38	ga_ls7e_ard_3-1-0_091076_2020-01-31_final
2020-02-25 09:48:50	ga_ls7e_ard_3-1-0_099071_2020-02-25_final
2020-05-07 08:58:53	ga_ls7e_ard_3-1-0_091080_2020-05-06_final
2020-10-18 10:03:14	ga_ls7e_ard_3-1-0_103081_2020-10-18_final
2020-12-09 09:34:29	ga_ls7e_ard_3-1-0_099080_2020-12-09_final
2021-02-14 09:58:08	ga_ls7e_ard_3-2-0_104074_2021-02-14_final
2021-10-08 08:29:17	ga_ls7e_ard_3-2-0_092087_2021-10-07_final
2021-10-22 10:18:04	ga_ls7e_ard_3-2-0_110084_2021-10-22_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_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