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

55 results

Time (local)	Label
1999-10-28 09:23:08	ga_ls7e_ard_3-0-0_092078_1999-10-27_final
2000-04-27 10:25:34	ga_ls7e_ard_3-0-0_102081_2000-04-27_final
2002-03-08 11:08:50	ga_ls7e_ard_3-0-0_110074_2002-03-08_final
2002-08-04 09:45:46	ga_ls7e_ard_3-0-0_097069_2002-08-04_final
2002-08-18 09:57:41	ga_ls7e_ard_3-0-0_099068_2002-08-18_final
2002-11-12 11:05:35	ga_ls7e_ard_3-0-0_109084_2002-11-12_final
2003-04-16 09:11:02	ga_ls7e_ard_3-0-0_090089_2003-04-15_final
2003-08-11 11:04:07	ga_ls7e_ard_3-0-0_109079_2003-08-11_final
2003-11-02 09:56:57	ga_ls7e_ard_3-0-0_098081_2003-11-02_final
2004-05-24 10:22:26	ga_ls7e_ard_3-0-0_102081_2004-05-24_final
2005-01-01 08:56:05	ga_ls7e_ard_3-0-0_088081_2004-12-31_final
2005-04-30 09:02:54	ga_ls7e_ard_3-0-0_089082_2005-04-29_final
2005-07-18 09:59:33	ga_ls7e_ard_3-0-0_098085_2005-07-18_final
2005-07-27 09:46:59	ga_ls7e_ard_3-0-0_097069_2005-07-27_final
2005-09-03 09:14:03	ga_ls7e_ard_3-0-0_091080_2005-09-02_final
2005-10-22 11:36:14	ga_ls7e_ard_3-0-0_114080_2005-10-22_final
2007-07-28 11:14:02	ga_ls7e_ard_3-0-0_110084_2007-07-28_final
2007-09-27 09:02:41	ga_ls7e_ard_3-1-0_089081_2007-09-26_final
2007-10-18 10:56:10	ga_ls7e_ard_3-0-0_108071_2007-10-18_final
2009-06-11 09:57:46	ga_ls7e_ard_3-0-0_098078_2009-06-11_final
2009-10-28 11:20:26	ga_ls7e_ard_3-0-0_111084_2009-10-28_final
2010-05-02 10:19:39	ga_ls7e_ard_3-0-0_101082_2010-05-02_final
2010-06-03 10:19:13	ga_ls7e_ard_3-0-0_101081_2010-06-03_final
2010-07-13 09:29:27	ga_ls7e_ard_3-0-0_093080_2010-07-12_final
2010-11-12 10:02:36	ga_ls7e_ard_3-0-0_099069_2010-11-12_final
2010-11-19 10:10:29	ga_ls7e_ard_3-0-0_100073_2010-11-19_final
2010-11-28 10:02:48	ga_ls7e_ard_3-0-0_099069_2010-11-28_final
2011-03-20 10:05:29	ga_ls7e_ard_3-0-0_099074_2011-03-20_final
2011-05-12 10:21:39	ga_ls7e_ard_3-0-0_102068_2011-05-12_final
2011-06-24 10:06:40	ga_ls7e_ard_3-0-0_099077_2011-06-24_final
2011-08-03 10:57:36	ga_ls7e_ard_3-0-0_107081_2011-08-03_final
2011-09-15 10:33:42	ga_ls7e_ard_3-0-0_104068_2011-09-15_final
2012-04-23 10:04:57	ga_ls7e_ard_3-0-0_099071_2012-04-23_final
2013-11-05 10:54:06	ga_ls7e_ard_3-0-0_106081_2013-11-05_final
2014-05-03 11:26:54	ga_ls7e_ard_3-0-0_111083_2014-05-03_final
2014-07-18 10:07:04	ga_ls7e_ard_3-0-0_099068_2014-07-18_final
2015-05-20 11:37:54	ga_ls7e_ard_3-0-0_113074_2015-05-20_final
2015-06-17 10:26:41	ga_ls7e_ard_3-0-0_101081_2015-06-17_final
2016-04-14 10:36:30	ga_ls7e_ard_3-0-0_103068_2016-04-14_final
2016-04-18 10:13:01	ga_ls7e_ard_3-0-0_099071_2016-04-18_final
2017-07-25 09:36:06	ga_ls7e_ard_3-0-0_092086_2017-07-25_final
2017-12-19 10:00:41	ga_ls7e_ard_3-0-0_097071_2017-12-19_final
2018-02-12 10:05:18	ga_ls7e_ard_3-0-0_098069_2018-02-12_final
2018-09-15 10:07:51	ga_ls7e_ard_3-0-0_099069_2018-09-15_final
2018-10-15 10:25:04	ga_ls7e_ard_3-0-0_101083_2018-10-15_final
2019-03-18 09:17:20	ga_ls7e_ard_3-1-0_091079_2019-03-17_final
2019-09-16 10:11:43	ga_ls7e_ard_3-1-0_101078_2019-09-16_final
2019-11-21 11:34:09	ga_ls7e_ard_3-1-0_115075_2019-11-21_final
2020-03-08 10:16:54	ga_ls7e_ard_3-1-0_103081_2020-03-08_final
2020-11-13 09:00:53	ga_ls7e_ard_3-1-0_093084_2020-11-12_final
2021-04-16 09:21:58	ga_ls7e_ard_3-2-0_099073_2021-04-15_final
2021-04-20 10:33:48	ga_ls7e_ard_3-2-0_111068_2021-04-20_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-08-15 09:07:31	ga_ls7e_ard_3-2-0_098078_2021-08-14_final
2022-01-02 09:16:08	ga_ls7e_ard_3-2-1_102070_2022-01-01_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