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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

53 results

Time (local)	Label
2001-08-09 09:03:29	ga_ls7e_ard_3-0-0_089085_2001-08-08_final
2002-10-20 10:55:43	ga_ls7e_ard_3-0-0_108075_2002-10-20_final
2003-01-04 09:46:06	ga_ls7e_ard_3-0-0_096085_2003-01-04_final
2003-02-19 09:53:13	ga_ls7e_ard_3-0-0_098071_2003-02-19_final
2005-07-29 09:36:36	ga_ls7e_ard_3-0-0_095074_2005-07-29_final
2006-01-30 09:30:36	ga_ls7e_ard_3-0-0_094073_2006-01-30_final
2006-03-16 09:06:36	ga_ls7e_ard_3-0-0_089090_2006-03-15_final
2006-09-23 11:34:07	ga_ls7e_ard_3-0-0_114074_2006-09-23_final
2007-03-26 09:11:14	ga_ls7e_ard_3-1-0_090085_2007-03-25_final
2007-07-09 10:39:37	ga_ls7e_ard_3-0-0_105075_2007-07-09_final
2008-03-04 09:57:31	ga_ls7e_ard_3-0-0_098078_2008-03-04_final
2008-05-11 11:13:55	ga_ls7e_ard_3-0-0_110084_2008-05-11_final
2009-02-26 11:41:13	ga_ls7e_ard_3-0-0_115075_2009-02-26_final
2009-03-15 09:11:14	ga_ls7e_ard_3-0-0_090086_2009-03-14_final
2009-08-04 09:23:40	ga_ls7e_ard_3-0-0_092086_2009-08-03_final
2009-08-07 11:31:26	ga_ls7e_ard_3-0-0_113081_2009-08-07_final
2010-03-08 10:11:23	ga_ls7e_ard_3-0-0_100077_2010-03-08_final
2010-07-28 10:21:05	ga_ls7e_ard_3-0-0_102070_2010-07-28_final
2010-12-24 10:40:06	ga_ls7e_ard_3-0-0_105069_2010-12-24_final
2010-12-31 10:48:21	ga_ls7e_ard_3-0-0_106074_2010-12-31_final
2012-08-06 11:40:51	ga_ls7e_ard_3-0-0_114077_2012-08-06_final
2013-04-04 09:10:57	ga_ls7e_ard_3-0-0_089086_2013-04-03_final
2013-04-26 11:47:55	ga_ls7e_ard_3-0-0_115077_2013-04-26_final
2014-04-17 11:23:11	ga_ls7e_ard_3-0-0_111074_2014-04-17_final
2014-05-26 11:32:49	ga_ls7e_ard_3-0-0_112082_2014-05-26_final
2014-09-02 10:21:07	ga_ls7e_ard_3-0-0_101072_2014-09-02_final
2014-09-05 09:15:09	ga_ls7e_ard_3-0-0_090077_2014-09-04_final
2014-11-17 09:09:58	ga_ls7e_ard_3-0-0_089078_2014-11-16_final
2015-01-10 10:09:42	ga_ls7e_ard_3-0-0_099072_2015-01-10_final
2015-01-17 10:20:15	ga_ls7e_ard_3-0-0_100083_2015-01-17_final
2015-03-06 10:16:11	ga_ls7e_ard_3-0-0_100072_2015-03-06_final
2015-06-24 10:32:52	ga_ls7e_ard_3-0-0_102081_2015-06-24_final
2015-09-08 10:57:28	ga_ls7e_ard_3-0-0_106080_2015-09-08_final
2016-02-14 10:15:47	ga_ls7e_ard_3-0-0_099079_2016-02-14_final
2016-03-02 09:23:03	ga_ls7e_ard_3-0-0_090086_2016-03-01_final
2017-07-19 10:06:48	ga_ls7e_ard_3-0-0_098070_2017-07-19_final
2018-07-24 11:28:27	ga_ls7e_ard_3-0-0_112067_2018-07-24_final
2018-10-15 10:25:04	ga_ls7e_ard_3-0-0_101083_2018-10-15_final
2019-01-05 10:04:38	ga_ls7e_ard_3-0-0_099068_2019-01-05_final
2019-01-31 09:07:59	ga_ls7e_ard_3-0-0_089083_2019-01-30_final
2019-07-26 10:37:03	ga_ls7e_ard_3-0-0_105074_2019-07-26_final
2020-04-06 11:21:16	ga_ls7e_ard_3-1-0_114076_2020-04-06_final
2020-05-23 10:35:11	ga_ls7e_ard_3-1-0_107076_2020-05-23_final
2020-06-20 09:15:48	ga_ls7e_ard_3-1-0_095067_2020-06-19_final
2020-06-22 10:44:59	ga_ls7e_ard_3-1-0_109074_2020-06-22_final
2020-07-18 09:42:49	ga_ls7e_ard_3-1-0_099077_2020-07-18_final
2020-09-19 10:33:35	ga_ls7e_ard_3-1-0_108075_2020-09-19_final
2020-12-10 08:37:59	ga_ls7e_ard_3-1-0_090078_2020-12-09_final
2021-04-22 10:23:39	ga_ls7e_ard_3-2-0_109074_2021-04-22_final
2021-04-28 09:48:51	ga_ls7e_ard_3-2-0_103081_2021-04-28_final
2021-07-15 09:52:42	ga_ls7e_ard_3-2-0_105076_2021-07-15_final
2021-07-17 09:42:10	ga_ls7e_ard_3-2-0_103081_2021-07-17_final
2021-08-06 10:52:11	ga_ls7e_ard_3-2-0_115075_2021-08-06_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

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