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

46 results

Time (local)	Label
1999-08-10 10:06:49	ga_ls7e_ard_3-0-0_099079_1999-08-10_final
1999-10-07 10:39:39	ga_ls7e_ard_3-0-0_105068_1999-10-07_final
2000-03-05 10:02:56	ga_ls7e_ard_3-0-0_099070_2000-03-05_final
2001-02-20 10:03:31	ga_ls7e_ard_3-0-0_099077_2001-02-20_final
2001-08-04 10:22:21	ga_ls7e_ard_3-0-0_102081_2001-08-04_final
2002-04-07 11:24:40	ga_ls7e_ard_3-0-0_112083_2002-04-07_final
2004-08-30 10:08:27	ga_ls7e_ard_3-0-0_100078_2004-08-30_final
2005-01-07 11:31:13	ga_ls7e_ard_3-0-0_114067_2005-01-07_final
2005-06-21 10:17:18	ga_ls7e_ard_3-0-0_101083_2005-06-21_final
2005-07-03 10:39:12	ga_ls7e_ard_3-0-0_105076_2005-07-03_final
2005-10-14 10:45:05	ga_ls7e_ard_3-0-0_106076_2005-10-14_final
2005-10-21 09:13:17	ga_ls7e_ard_3-0-0_091078_2005-10-20_final
2006-02-04 09:53:58	ga_ls7e_ard_3-0-0_097085_2006-02-04_final
2006-05-16 10:06:58	ga_ls7e_ard_3-0-0_100071_2006-05-16_final
2006-06-25 09:23:47	ga_ls7e_ard_3-0-0_092087_2006-06-24_final
2006-08-26 11:12:20	ga_ls7e_ard_3-0-0_110081_2006-08-26_final
2006-12-03 10:00:49	ga_ls7e_ard_3-1-0_099071_2006-12-03_final
2007-01-17 09:36:01	ga_ls7e_ard_3-0-0_094086_2007-01-17_final
2007-02-20 09:24:42	ga_ls7e_ard_3-0-0_092088_2007-02-19_final
2007-03-09 10:04:26	ga_ls7e_ard_3-0-0_099079_2007-03-09_final
2007-03-10 10:43:18	ga_ls7e_ard_3-0-0_106068_2007-03-10_final
2007-06-28 09:23:42	ga_ls7e_ard_3-0-0_092086_2007-06-27_final
2008-08-02 10:02:22	ga_ls7e_ard_3-0-0_099077_2008-08-02_final
2009-09-22 10:03:16	ga_ls7e_ard_3-0-0_099077_2009-09-22_final
2010-01-13 09:08:59	ga_ls7e_ard_3-0-0_090077_2010-01-12_final
2010-02-23 09:03:42	ga_ls7e_ard_3-0-0_089078_2010-02-22_final
2010-09-07 10:20:09	ga_ls7e_ard_3-0-0_101083_2010-09-07_final
2011-01-17 09:54:04	ga_ls7e_ard_3-0-0_097077_2011-01-17_final
2011-03-03 10:59:29	ga_ls7e_ard_3-0-0_108070_2011-03-03_final
2013-10-27 09:23:44	ga_ls7e_ard_3-0-0_091087_2013-10-26_final
2014-08-04 09:19:56	ga_ls7e_ard_3-0-0_090089_2014-08-03_final
2014-09-04 10:11:10	ga_ls7e_ard_3-0-0_099078_2014-09-04_final
2015-09-16 10:09:40	ga_ls7e_ard_3-0-0_098084_2015-09-16_final
2016-01-04 10:23:33	ga_ls7e_ard_3-0-0_100084_2016-01-04_final
2017-02-26 09:14:10	ga_ls7e_ard_3-0-0_089079_2017-02-25_final
2017-04-12 10:22:01	ga_ls7e_ard_3-0-0_100078_2017-04-12_final
2017-04-30 10:11:46	ga_ls7e_ard_3-0-0_098083_2017-04-30_final
2017-06-21 09:47:39	ga_ls7e_ard_3-0-0_094084_2017-06-21_final
2018-03-04 11:23:38	ga_ls7e_ard_3-0-0_110080_2018-03-04_final
2018-07-19 09:39:05	ga_ls7e_ard_3-1-0_093087_2018-07-19_final
2019-06-08 10:42:04	ga_ls7e_ard_3-0-0_105082_2019-06-08_final
2019-11-25 11:08:27	ga_ls7e_ard_3-1-0_111073_2019-11-25_final
2019-12-27 09:27:34	ga_ls7e_ard_3-1-0_095072_2019-12-26_final
2020-09-21 10:21:06	ga_ls7e_ard_3-1-0_106075_2020-09-21_final
2021-02-12 10:11:26	ga_ls7e_ard_3-2-0_106076_2021-02-12_final
2022-02-02 10:08:46	ga_ls7e_ard_3-2-1_111070_2022-02-02_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