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
2000-04-22 10:03:49	ga_ls7e_ard_3-0-0_099073_2000-04-22_final
2002-03-04 11:36:22	ga_ls7e_ard_3-0-0_114081_2002-03-04_final
2002-05-11 11:09:06	ga_ls7e_ard_3-0-0_110075_2002-05-11_final
2002-11-23 09:05:39	ga_ls7e_ard_3-0-0_090077_2002-11-22_final
2003-02-19 09:53:13	ga_ls7e_ard_3-0-0_098071_2003-02-19_final
2003-12-03 10:48:50	ga_ls7e_ard_3-0-0_107071_2003-12-03_final
2003-12-14 10:30:24	ga_ls7e_ard_3-0-0_104071_2003-12-14_final
2003-12-26 09:18:20	ga_ls7e_ard_3-0-0_092076_2003-12-25_final
2004-01-05 11:33:33	ga_ls7e_ard_3-0-0_114074_2004-01-05_final
2004-08-23 10:01:54	ga_ls7e_ard_3-0-0_099077_2004-08-23_final
2005-01-05 10:06:17	ga_ls7e_ard_3-0-0_100071_2005-01-05_final
2005-04-01 11:10:45	ga_ls7e_ard_3-0-0_110077_2005-04-01_final
2006-01-31 10:13:05	ga_ls7e_ard_3-0-0_101071_2006-01-31_final
2006-07-22 10:36:20	ga_ls7e_ard_3-0-0_105068_2006-07-22_final
2006-10-13 09:34:51	ga_ls7e_ard_3-0-0_094085_2006-10-13_final
2007-03-12 10:30:57	ga_ls7e_ard_3-0-0_104068_2007-03-12_final
2007-05-23 09:40:54	ga_ls7e_ard_3-0-0_096067_2007-05-23_final
2008-02-20 10:24:30	ga_ls7e_ard_3-0-0_103068_2008-02-20_final
2009-02-03 09:52:44	ga_ls7e_ard_3-0-0_098067_2009-02-03_final
2009-04-07 09:13:35	ga_ls7e_ard_3-0-0_091076_2009-04-06_final
2009-08-17 10:24:25	ga_ls7e_ard_3-0-0_103068_2009-08-17_final
2010-04-09 10:11:55	ga_ls7e_ard_3-0-0_100078_2010-04-09_final
2010-07-02 11:27:39	ga_ls7e_ard_3-0-0_112082_2010-07-02_final
2010-12-02 11:22:12	ga_ls7e_ard_3-1-0_111082_2010-12-02_final
2010-12-24 09:06:24	ga_ls7e_ard_3-0-0_089082_2010-12-23_final
2011-01-19 09:45:19	ga_ls7e_ard_3-0-0_095086_2011-01-19_final
2011-02-11 09:44:01	ga_ls7e_ard_3-0-0_096067_2011-02-11_final
2012-06-10 10:04:41	ga_ls7e_ard_3-0-0_099070_2012-06-10_final
2013-03-19 09:12:13	ga_ls7e_ard_3-0-0_089089_2013-03-18_final
2013-10-03 10:09:21	ga_ls7e_ard_3-0-0_099078_2013-10-03_final
2014-04-01 11:20:40	ga_ls7e_ard_3-0-0_111068_2014-04-01_final
2014-06-29 09:43:42	ga_ls7e_ard_3-0-0_094087_2014-06-29_final
2015-04-11 09:49:47	ga_ls7e_ard_3-0-0_096067_2015-04-11_final
2015-09-02 09:52:01	ga_ls7e_ard_3-0-0_096071_2015-09-02_final
2016-10-26 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-10-26_final
2016-11-21 11:44:22	ga_ls7e_ard_3-0-0_114067_2016-11-21_final
2017-01-11 10:38:02	ga_ls7e_ard_3-0-0_103072_2017-01-11_final
2017-06-14 09:42:14	ga_ls7e_ard_3-0-0_093086_2017-06-14_final
2017-08-22 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-08-22_final
2018-05-02 09:26:31	ga_ls7e_ard_3-0-0_091083_2018-05-01_final
2018-10-12 09:47:52	ga_ls7e_ard_3-0-0_096067_2018-10-12_final
2019-06-11 09:28:00	ga_ls7e_ard_3-1-0_094067_2019-06-10_final
2020-08-09 10:44:50	ga_ls7e_ard_3-1-0_109081_2020-08-09_final
2020-09-18 09:50:24	ga_ls7e_ard_3-1-0_101075_2020-09-18_final
2021-01-19 09:21:46	ga_ls7e_ard_3-1-0_098071_2021-01-18_final
2021-08-22 09:13:29	ga_ls7e_ard_3-2-0_099079_2021-08-21_final
2022-02-18 08:29:03	ga_ls7e_ard_3-2-1_095072_2022-02-17_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

All years