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

58 results

Time (local)	Label
2000-01-25 10:54:10	ga_ls7e_ard_3-0-0_107074_2000-01-25_final
2000-05-05 09:33:15	ga_ls7e_ard_3-0-0_094074_2000-05-05_final
2000-05-20 10:31:29	ga_ls7e_ard_3-0-0_103081_2000-05-20_final
2001-01-03 09:59:30	ga_ls7e_ard_3-0-0_099067_2001-01-03_final
2001-11-17 10:13:12	ga_ls7e_ard_3-1-0_101075_2001-11-17_final
2001-12-31 09:05:05	ga_ls7e_ard_3-0-0_089090_2001-12-30_final
2002-03-24 09:27:02	ga_ls7e_ard_3-1-0_094067_2002-03-23_final
2002-05-20 11:02:26	ga_ls7e_ard_3-0-0_109074_2002-05-20_final
2003-01-03 10:38:08	ga_ls7e_ard_3-0-0_105076_2003-01-03_final
2003-05-02 10:44:21	ga_ls7e_ard_3-1-0_106075_2003-05-02_final
2004-03-25 09:59:01	ga_ls7e_ard_3-0-0_098084_2004-03-25_final
2004-04-14 11:09:29	ga_ls7e_ard_3-0-0_110075_2004-04-14_final
2004-11-12 10:44:55	ga_ls7e_ard_3-0-0_106076_2004-11-12_final
2004-11-14 10:34:57	ga_ls7e_ard_3-0-0_104082_2004-11-14_final
2004-12-30 10:44:55	ga_ls7e_ard_3-1-0_106075_2004-12-30_final
2005-04-30 10:39:23	ga_ls7e_ard_3-0-0_105076_2005-04-30_final
2005-08-17 10:08:37	ga_ls7e_ard_3-0-0_100077_2005-08-17_final
2006-07-23 11:19:11	ga_ls7e_ard_3-0-0_112067_2006-07-23_final
2007-01-27 10:07:12	ga_ls7e_ard_3-0-0_100071_2007-01-27_final
2007-01-29 09:54:52	ga_ls7e_ard_3-0-0_098071_2007-01-29_final
2007-07-11 10:29:39	ga_ls7e_ard_3-0-0_103081_2007-07-11_final
2008-01-31 09:18:24	ga_ls7e_ard_3-0-0_091088_2008-01-30_final
2008-10-22 09:08:17	ga_ls7e_ard_3-0-0_090082_2008-10-21_final
2009-01-21 10:29:10	ga_ls7e_ard_3-0-0_103081_2009-01-21_final
2009-02-06 10:24:51	ga_ls7e_ard_3-0-0_103070_2009-02-06_final
2009-02-10 09:58:59	ga_ls7e_ard_3-0-0_099067_2009-02-10_final
2009-12-21 10:39:18	ga_ls7e_ard_3-0-0_105072_2009-12-21_final
2010-09-11 09:54:39	ga_ls7e_ard_3-0-0_097081_2010-09-11_final
2011-07-20 10:40:31	ga_ls7e_ard_3-0-0_105069_2011-07-20_final
2011-09-22 10:43:04	ga_ls7e_ard_3-0-0_105076_2011-09-22_final
2012-01-22 09:40:48	ga_ls7e_ard_3-1-0_095073_2012-01-22_final
2012-02-07 11:17:47	ga_ls7e_ard_3-0-0_111068_2012-02-07_final
2014-02-25 09:18:36	ga_ls7e_ard_3-0-0_090088_2014-02-24_final
2014-03-06 09:10:54	ga_ls7e_ard_3-0-0_089084_2014-03-05_final
2014-04-06 10:00:20	ga_ls7e_ard_3-0-0_098068_2014-04-06_final
2014-04-22 10:00:31	ga_ls7e_ard_3-0-0_098068_2014-04-22_final
2014-05-03 09:41:38	ga_ls7e_ard_3-0-0_095067_2014-05-03_final
2014-05-16 10:54:54	ga_ls7e_ard_3-0-0_106080_2014-05-16_final
2014-09-08 09:42:04	ga_ls7e_ard_3-0-0_095067_2014-09-08_final
2016-08-10 11:44:40	ga_ls7e_ard_3-0-0_113083_2016-08-10_final
2016-11-07 10:00:23	ga_ls7e_ard_3-0-0_096085_2016-11-07_final
2016-11-07 11:32:05	ga_ls7e_ard_3-0-0_112067_2016-11-07_final
2016-12-04 09:41:44	ga_ls7e_ard_3-0-0_093085_2016-12-04_final
2016-12-27 09:43:22	ga_ls7e_ard_3-0-0_094074_2016-12-27_final
2017-01-23 11:07:00	ga_ls7e_ard_3-0-0_107083_2017-01-23_final
2017-02-16 11:54:22	ga_ls7e_ard_3-0-0_115078_2017-02-16_final
2017-10-30 10:18:09	ga_ls7e_ard_3-0-0_099083_2017-10-30_final
2018-07-28 11:06:51	ga_ls7e_ard_3-1-0_108075_2018-07-28_final
2018-11-22 11:22:02	ga_ls7e_ard_3-0-0_111073_2018-11-22_final
2018-12-10 09:34:42	ga_ls7e_ard_3-0-0_093084_2018-12-10_final
2018-12-11 10:13:09	ga_ls7e_ard_3-0-0_100072_2018-12-11_final
2019-03-03 11:39:34	ga_ls7e_ard_3-1-0_114078_2019-03-03_final
2019-07-20 09:32:42	ga_ls7e_ard_3-0-0_095067_2019-07-20_final
2019-08-08 10:06:49	ga_ls7e_ard_3-0-0_100077_2019-08-08_final
2019-12-17 10:31:29	ga_ls7e_ard_3-1-0_105076_2019-12-17_final
2020-04-23 10:24:39	ga_ls7e_ard_3-1-0_105076_2020-04-23_final
2021-07-30 10:48:37	ga_ls7e_ard_3-2-0_114080_2021-07-30_final
2022-01-29 08:54:36	ga_ls7e_ard_3-2-1_099069_2022-01-28_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