Search ga_ls7e_ard_3 whole collection

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

50 results

Time (local)	Label
1999-06-30 10:09:35	ga_ls7e_ard_3-0-0_100071_1999-06-30_final
1999-09-20 10:00:14	ga_ls7e_ard_3-0-0_098078_1999-09-20_final
1999-12-11 09:43:32	ga_ls7e_ard_3-0-0_096067_1999-12-11_final
2000-03-22 09:13:42	ga_ls7e_ard_3-1-0_090086_2000-03-21_final
2000-08-12 10:04:12	ga_ls7e_ard_3-0-0_099077_2000-08-12_final
2000-11-26 09:02:04	ga_ls7e_ard_3-0-0_089078_2000-11-25_final
2001-02-14 09:01:45	ga_ls7e_ard_3-0-0_089077_2001-02-13_final
2001-03-26 09:47:44	ga_ls7e_ard_3-0-0_097069_2001-03-26_final
2001-06-29 10:46:55	ga_ls7e_ard_3-0-0_106080_2001-06-29_final
2001-11-19 09:58:51	ga_ls7e_ard_3-0-0_099070_2001-11-19_final
2004-04-20 08:55:27	ga_ls7e_ard_3-0-0_088080_2004-04-19_final
2004-08-13 09:26:50	ga_ls7e_ard_3-0-0_093082_2004-08-12_final
2005-06-24 10:44:36	ga_ls7e_ard_3-0-0_106074_2005-06-24_final
2006-02-21 10:30:30	ga_ls7e_ard_3-0-0_104068_2006-02-21_final
2006-04-09 11:31:41	ga_ls7e_ard_3-0-0_113082_2006-04-09_final
2006-09-29 09:23:17	ga_ls7e_ard_3-0-0_092087_2006-09-28_final
2006-12-20 10:46:10	ga_ls7e_ard_3-0-0_106076_2006-12-20_final
2007-03-25 10:01:16	ga_ls7e_ard_3-1-0_099071_2007-03-25_final
2007-10-12 11:36:22	ga_ls7e_ard_3-0-0_114079_2007-10-12_final
2008-01-20 09:31:46	ga_ls7e_ard_3-0-0_094075_2008-01-20_final
2009-09-01 09:40:46	ga_ls7e_ard_3-0-0_096067_2009-09-01_final
2009-12-24 09:29:23	ga_ls7e_ard_3-1-0_094067_2009-12-23_final
2010-04-10 10:56:46	ga_ls7e_ard_3-0-0_107082_2010-04-10_final
2010-07-07 11:45:00	ga_ls7e_ard_3-0-0_115079_2010-07-07_final
2010-12-10 10:32:25	ga_ls7e_ard_3-0-0_103081_2010-12-10_final
2011-02-15 11:02:10	ga_ls7e_ard_3-0-0_108077_2011-02-15_final
2011-12-01 10:04:27	ga_ls7e_ard_3-0-0_099071_2011-12-01_final
2012-06-05 09:51:42	ga_ls7e_ard_3-0-0_096084_2012-06-05_final
2012-09-06 09:23:02	ga_ls7e_ard_3-0-0_091087_2012-09-05_final
2012-10-01 10:51:59	ga_ls7e_ard_3-0-0_106077_2012-10-01_final
2012-11-30 09:34:13	ga_ls7e_ard_3-1-0_094067_2012-11-30_final
2014-04-30 09:15:55	ga_ls7e_ard_3-0-0_090080_2014-04-29_final
2015-11-05 09:57:53	ga_ls7e_ard_3-0-0_096084_2015-11-05_final
2016-01-04 10:18:46	ga_ls7e_ard_3-0-0_100072_2016-01-04_final
2016-07-27 09:53:48	ga_ls7e_ard_3-0-0_095084_2016-07-27_final
2016-12-13 11:08:24	ga_ls7e_ard_3-0-0_108070_2016-12-13_final
2017-03-09 10:31:48	ga_ls7e_ard_3-0-0_102072_2017-03-09_final
2017-05-25 11:38:10	ga_ls7e_ard_3-0-0_113067_2017-05-25_final
2018-03-29 11:15:08	ga_ls7e_ard_3-0-0_109075_2018-03-29_final
2018-08-15 09:16:04	ga_ls7e_ard_3-0-0_090077_2018-08-14_final
2019-07-02 09:46:57	ga_ls7e_ard_3-0-0_097070_2019-07-02_final
2019-07-07 10:08:05	ga_ls7e_ard_3-0-0_100077_2019-07-07_final
2019-09-26 09:11:04	ga_ls7e_ard_3-1-0_091082_2019-09-25_final
2019-10-31 09:42:05	ga_ls7e_ard_3-1-0_096086_2019-10-31_final
2020-07-10 08:59:03	ga_ls7e_ard_3-1-0_091090_2020-07-09_final
2020-12-18 09:23:14	ga_ls7e_ard_3-1-0_098069_2020-12-17_final
2020-12-18 09:26:25	ga_ls7e_ard_3-1-0_098077_2020-12-17_final
2021-11-01 09:12:33	ga_ls7e_ard_3-2-0_100077_2021-10-31_final
2021-12-09 10:13:07	ga_ls7e_ard_3-2-1_110083_2021-12-09_final
2021-12-13 09:48:01	ga_ls7e_ard_3-2-1_106083_2021-12-13_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