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

47 results

Time (local)	Label
1999-08-26 10:02:51	ga_ls7e_ard_3-0-0_099069_1999-08-26_final
2000-10-05 11:04:09	ga_ls7e_ard_3-0-0_109074_2000-10-05_final
2000-11-19 10:32:45	ga_ls7e_ard_3-0-0_104073_2000-11-19_final
2001-04-03 09:02:11	ga_ls7e_ard_3-0-0_089079_2001-04-02_final
2001-11-03 09:58:17	ga_ls7e_ard_3-0-0_099069_2001-11-03_final
2002-02-15 09:16:58	ga_ls7e_ard_3-0-0_091088_2002-02-14_final
2002-06-19 11:14:35	ga_ls7e_ard_3-0-0_111074_2002-06-19_final
2003-03-31 10:41:30	ga_ls7e_ard_3-0-0_106068_2003-03-31_final
2003-06-01 09:17:46	ga_ls7e_ard_3-0-0_092075_2003-05-31_final
2004-04-02 10:44:27	ga_ls7e_ard_3-0-0_106074_2004-04-02_final
2004-08-06 09:22:15	ga_ls7e_ard_3-0-0_092086_2004-08-05_final
2004-10-03 09:58:18	ga_ls7e_ard_3-0-0_098084_2004-10-03_final
2006-03-14 09:13:47	ga_ls7e_ard_3-0-0_091077_2006-03-13_final
2006-06-08 10:17:30	ga_ls7e_ard_3-0-0_101082_2006-06-08_final
2007-01-29 09:54:52	ga_ls7e_ard_3-0-0_098071_2007-01-29_final
2007-04-25 09:23:56	ga_ls7e_ard_3-0-0_092086_2007-04-24_final
2007-11-21 09:11:15	ga_ls7e_ard_3-0-0_090086_2007-11-20_final
2007-12-22 10:01:51	ga_ls7e_ard_3-0-0_099073_2007-12-22_final
2009-09-15 11:37:11	ga_ls7e_ard_3-0-0_114080_2009-09-15_final
2009-10-10 11:32:05	ga_ls7e_ard_3-0-0_113083_2009-10-10_final
2010-04-27 11:36:49	ga_ls7e_ard_3-0-0_114074_2010-04-27_final
2010-06-30 09:59:56	ga_ls7e_ard_3-0-0_098079_2010-06-30_final
2010-08-20 10:28:53	ga_ls7e_ard_3-0-0_103074_2010-08-20_final
2010-10-12 10:45:56	ga_ls7e_ard_3-0-0_106070_2010-10-12_final
2011-03-10 11:07:41	ga_ls7e_ard_3-0-0_109075_2011-03-10_final
2012-03-31 10:01:03	ga_ls7e_ard_3-0-0_098077_2012-03-31_final
2012-08-17 11:24:02	ga_ls7e_ard_3-0-0_111081_2012-08-17_final
2012-09-06 09:21:02	ga_ls7e_ard_3-0-0_091082_2012-09-05_final
2012-09-24 09:07:15	ga_ls7e_ard_3-0-0_089078_2012-09-23_final
2012-10-08 09:22:54	ga_ls7e_ard_3-1-0_091086_2012-10-07_final
2014-06-22 09:33:04	ga_ls7e_ard_3-0-0_093076_2014-06-22_final
2015-08-06 10:13:44	ga_ls7e_ard_3-0-0_099079_2015-08-06_final
2016-02-02 09:52:36	ga_ls7e_ard_3-0-0_095083_2016-02-02_final
2016-04-17 11:10:13	ga_ls7e_ard_3-1-0_108075_2016-04-17_final
2016-04-29 11:34:37	ga_ls7e_ard_3-1-0_112074_2016-04-29_final
2016-06-22 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-06-21_final
2016-09-19 10:49:20	ga_ls7e_ard_3-0-0_105068_2016-09-19_final
2016-10-08 11:26:15	ga_ls7e_ard_3-0-0_110083_2016-10-08_final
2017-01-31 10:15:31	ga_ls7e_ard_3-0-0_099078_2017-01-31_final
2017-03-29 10:06:47	ga_ls7e_ard_3-0-0_098071_2017-03-29_final
2017-07-25 11:09:00	ga_ls7e_ard_3-0-0_108071_2017-07-25_final
2017-10-09 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-10-09_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2021-02-01 10:31:12	ga_ls7e_ard_3-2-0_109077_2021-02-01_final
2021-02-17 10:28:01	ga_ls7e_ard_3-2-0_109072_2021-02-17_final
2021-04-17 10:09:08	ga_ls7e_ard_3-2-0_106083_2021-04-17_final
2021-11-04 08:04:42	ga_ls7e_ard_3-2-0_089078_2021-11-03_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

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