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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

42 results

Time (local)	Label
2000-09-17 09:34:57	ga_ls7e_ard_3-0-0_095067_2000-09-17_final
2000-10-24 09:54:24	ga_ls7e_ard_3-0-0_098070_2000-10-24_final
2001-05-02 10:06:59	ga_ls7e_ard_3-0-0_100071_2001-05-02_final
2002-01-15 09:52:55	ga_ls7e_ard_3-0-0_098070_2002-01-15_final
2002-12-17 09:57:59	ga_ls7e_ard_3-0-0_098084_2002-12-17_final
2003-12-08 09:26:57	ga_ls7e_ard_3-1-0_094067_2003-12-07_final
2004-03-31 09:22:43	ga_ls7e_ard_3-0-0_092086_2004-03-30_final
2004-07-23 09:06:25	ga_ls7e_ard_3-0-0_090077_2004-07-22_final
2004-10-12 11:29:23	ga_ls7e_ard_3-0-0_113080_2004-10-12_final
2006-02-01 10:57:09	ga_ls7e_ard_3-0-0_108073_2006-02-01_final
2006-02-02 09:59:56	ga_ls7e_ard_3-0-0_099069_2006-02-02_final
2006-08-07 10:39:05	ga_ls7e_ard_3-0-0_105075_2006-08-07_final
2008-05-05 10:10:09	ga_ls7e_ard_3-0-0_100079_2008-05-05_final
2008-06-18 08:56:51	ga_ls7e_ard_3-0-0_088082_2008-06-17_final
2008-11-05 09:23:15	ga_ls7e_ard_3-0-0_092088_2008-11-04_final
2009-07-27 10:09:34	ga_ls7e_ard_3-0-0_100077_2009-07-27_final
2010-08-18 09:06:45	ga_ls7e_ard_3-0-0_089085_2010-08-17_final
2010-11-06 09:04:18	ga_ls7e_ard_3-0-0_089078_2010-11-05_final
2011-03-21 10:49:32	ga_ls7e_ard_3-0-0_106076_2011-03-21_final
2011-08-09 10:17:42	ga_ls7e_ard_3-0-0_101074_2011-08-09_final
2012-03-18 10:33:33	ga_ls7e_ard_3-0-0_103081_2012-03-18_final
2013-02-04 09:30:52	ga_ls7e_ard_3-0-0_092089_2013-02-04_final
2013-10-14 09:46:35	ga_ls7e_ard_3-0-0_096067_2013-10-14_final
2013-11-01 09:34:18	ga_ls7e_ard_3-1-0_094067_2013-11-01_final
2013-12-19 09:34:33	ga_ls7e_ard_3-1-0_094067_2013-12-19_final
2014-01-07 10:09:34	ga_ls7e_ard_3-0-0_099077_2014-01-07_final
2015-02-27 10:09:10	ga_ls7e_ard_3-0-0_099070_2015-02-27_final
2015-04-10 09:13:17	ga_ls7e_ard_3-0-0_089084_2015-04-09_final
2015-11-20 09:16:54	ga_ls7e_ard_3-1-0_089089_2015-11-19_final
2016-03-18 10:56:54	ga_ls7e_ard_3-0-0_106073_2016-03-18_final
2017-10-26 10:42:05	ga_ls7e_ard_3-0-0_103081_2017-10-26_final
2017-11-06 10:22:43	ga_ls7e_ard_3-0-0_100079_2017-11-06_final
2018-01-22 09:46:16	ga_ls7e_ard_3-0-0_095067_2018-01-22_final
2018-02-28 11:48:24	ga_ls7e_ard_3-0-0_114080_2018-02-28_final
2019-07-29 11:05:02	ga_ls7e_ard_3-0-0_110067_2019-07-29_final
2019-09-15 09:24:07	ga_ls7e_ard_3-1-0_094067_2019-09-14_final
2019-10-24 09:28:38	ga_ls7e_ard_3-1-0_095067_2019-10-23_final
2019-11-24 10:26:26	ga_ls7e_ard_3-1-0_104076_2019-11-24_final
2020-02-18 11:25:05	ga_ls7e_ard_3-1-0_114079_2020-02-18_final
2020-08-03 09:37:50	ga_ls7e_ard_3-1-0_099067_2020-08-03_final
2021-09-02 08:49:13	ga_ls7e_ard_3-2-0_096067_2021-09-01_final
2022-01-26 10:04:04	ga_ls7e_ard_3-2-1_110072_2022-01-26_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