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

54 results

Time (local)	Label
1999-10-07 10:39:39	ga_ls7e_ard_3-0-0_105068_1999-10-07_final
1999-11-23 10:02:31	ga_ls7e_ard_3-0-0_098084_1999-11-23_final
2000-05-11 08:58:51	ga_ls7e_ard_3-0-0_088081_2000-05-10_final
2000-09-13 10:00:58	ga_ls7e_ard_3-0-0_099070_2000-09-13_final
2001-07-21 10:08:36	ga_ls7e_ard_3-0-0_100077_2001-07-21_final
2003-02-10 10:02:35	ga_ls7e_ard_3-0-0_099079_2003-02-10_final
2003-02-17 10:05:35	ga_ls7e_ard_3-0-0_100071_2003-02-17_final
2003-06-01 09:18:33	ga_ls7e_ard_3-0-0_092077_2003-05-31_final
2004-01-28 11:41:28	ga_ls7e_ard_3-0-0_115078_2004-01-28_final
2004-10-10 09:58:02	ga_ls7e_ard_3-0-0_099068_2004-10-10_final
2005-01-27 09:27:38	ga_ls7e_ard_3-1-0_094067_2005-01-26_final
2005-06-07 09:59:26	ga_ls7e_ard_3-0-0_099069_2005-06-07_final
2005-06-25 09:51:46	ga_ls7e_ard_3-0-0_097081_2005-06-25_final
2005-11-06 10:54:21	ga_ls7e_ard_3-0-0_107083_2005-11-06_final
2006-08-13 10:02:48	ga_ls7e_ard_3-0-0_099077_2006-08-13_final
2006-11-10 09:56:48	ga_ls7e_ard_3-0-0_098077_2006-11-10_final
2007-07-09 09:03:32	ga_ls7e_ard_3-0-0_089082_2007-07-08_final
2008-03-29 09:47:43	ga_ls7e_ard_3-0-0_097069_2008-03-29_final
2008-07-17 09:59:42	ga_ls7e_ard_3-1-0_099070_2008-07-17_final
2008-09-15 10:28:21	ga_ls7e_ard_3-0-0_103081_2008-09-15_final
2008-10-10 10:21:50	ga_ls7e_ard_3-0-0_102081_2008-10-10_final
2008-12-05 09:30:01	ga_ls7e_ard_3-1-0_094073_2008-12-05_final
2009-03-08 09:02:13	ga_ls7e_ard_3-0-0_089079_2009-03-07_final
2010-03-27 09:04:18	ga_ls7e_ard_3-0-0_089079_2010-03-26_final
2011-02-08 09:17:06	ga_ls7e_ard_3-0-0_091077_2011-02-07_final
2011-03-06 09:51:07	ga_ls7e_ard_3-0-0_097069_2011-03-06_final
2011-09-13 09:10:47	ga_ls7e_ard_3-0-0_090077_2011-09-12_final
2012-01-21 09:00:44	ga_ls7e_ard_3-0-0_088081_2012-01-20_final
2012-04-07 10:03:36	ga_ls7e_ard_3-0-0_099068_2012-04-07_final
2013-03-16 10:15:25	ga_ls7e_ard_3-0-0_100077_2013-03-16_final
2014-01-07 10:09:57	ga_ls7e_ard_3-0-0_099078_2014-01-07_final
2014-01-25 09:54:20	ga_ls7e_ard_3-0-0_097069_2014-01-25_final
2014-02-21 11:15:01	ga_ls7e_ard_3-0-0_110070_2014-02-21_final
2014-03-02 09:28:48	ga_ls7e_ard_3-0-0_093067_2014-03-01_final
2015-04-01 09:21:45	ga_ls7e_ard_3-0-0_090090_2015-03-31_final
2015-05-24 09:34:18	ga_ls7e_ard_3-0-0_093074_2015-05-24_final
2015-11-14 09:47:30	ga_ls7e_ard_3-1-0_095073_2015-11-14_final
2015-12-28 11:54:08	ga_ls7e_ard_3-0-0_115079_2015-12-28_final
2016-01-03 09:33:29	ga_ls7e_ard_3-0-0_093067_2016-01-03_final
2016-01-04 10:23:33	ga_ls7e_ard_3-0-0_100084_2016-01-04_final
2016-01-13 11:52:48	ga_ls7e_ard_3-0-0_115075_2016-01-13_final
2016-02-05 10:23:56	ga_ls7e_ard_3-0-0_100084_2016-02-05_final
2016-10-11 10:12:41	ga_ls7e_ard_3-0-0_099069_2016-10-11_final
2017-01-07 11:02:00	ga_ls7e_ard_3-0-0_107070_2017-01-07_final
2017-07-12 11:41:06	ga_ls7e_ard_3-0-0_113074_2017-07-12_final
2017-10-06 09:26:17	ga_ls7e_ard_3-0-0_091077_2017-10-05_final
2018-07-13 10:12:17	ga_ls7e_ard_3-0-0_099077_2018-07-13_final
2018-11-17 11:03:36	ga_ls7e_ard_3-0-0_108073_2018-11-17_final
2019-06-14 11:40:52	ga_ls7e_ard_3-0-0_115075_2019-06-14_final
2020-05-04 10:02:40	ga_ls7e_ard_3-1-0_102069_2020-05-04_final
2020-07-28 08:43:12	ga_ls7e_ard_3-1-0_089084_2020-07-27_final
2020-09-06 09:30:28	ga_ls7e_ard_3-1-0_097085_2020-09-06_final
2020-09-21 10:18:18	ga_ls7e_ard_3-1-0_106068_2020-09-21_final
2021-01-19 09:21:46	ga_ls7e_ard_3-1-0_098071_2021-01-18_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