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
1999-10-07 10:42:26	ga_ls7e_ard_3-0-0_105075_1999-10-07_final
1999-11-07 10:01:02	ga_ls7e_ard_3-0-0_098080_1999-11-07_final
1999-12-03 10:38:50	ga_ls7e_ard_3-0-0_104082_1999-12-03_final
2000-06-29 11:17:45	ga_ls7e_ard_3-0-0_111074_2000-06-29_final
2000-07-17 09:27:53	ga_ls7e_ard_3-0-0_093078_2000-07-16_final
2001-02-01 11:13:11	ga_ls7e_ard_3-0-0_110081_2001-02-01_final
2001-05-11 10:01:05	ga_ls7e_ard_3-0-0_099072_2001-05-11_final
2002-10-03 10:13:12	ga_ls7e_ard_3-0-0_101077_2002-10-03_final
2002-10-06 09:05:36	ga_ls7e_ard_3-0-0_090078_2002-10-05_final
2003-05-12 11:21:00	ga_ls7e_ard_3-0-0_112074_2003-05-12_final
2004-02-10 11:07:25	ga_ls7e_ard_3-0-0_110070_2004-02-10_final
2004-05-14 09:45:46	ga_ls7e_ard_3-0-0_096082_2004-05-14_final
2004-07-14 10:48:45	ga_ls7e_ard_3-0-0_107070_2004-07-14_final
2005-01-27 11:07:43	ga_ls7e_ard_3-0-0_110070_2005-01-27_final
2005-03-07 11:15:23	ga_ls7e_ard_3-0-0_111073_2005-03-07_final
2005-07-23 10:15:18	ga_ls7e_ard_3-0-0_101078_2005-07-23_final
2006-02-10 09:18:06	ga_ls7e_ard_3-0-0_091088_2006-02-09_final
2006-06-24 10:17:01	ga_ls7e_ard_3-0-0_101081_2006-06-24_final
2007-03-09 11:41:19	ga_ls7e_ard_3-0-0_115074_2007-03-09_final
2007-06-03 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-02_final
2007-09-14 11:10:07	ga_ls7e_ard_3-0-0_110075_2007-09-14_final
2007-11-20 10:04:04	ga_ls7e_ard_3-0-0_099079_2007-11-20_final
2008-08-06 09:36:01	ga_ls7e_ard_3-1-0_095073_2008-08-06_final
2008-10-24 10:34:50	ga_ls7e_ard_3-0-0_104082_2008-10-24_final
2008-11-18 10:25:02	ga_ls7e_ard_3-0-0_103072_2008-11-18_final
2009-09-06 10:01:18	ga_ls7e_ard_3-0-0_099072_2009-09-06_final
2009-11-28 08:57:30	ga_ls7e_ard_3-0-0_088081_2009-11-27_final
2010-06-30 09:59:56	ga_ls7e_ard_3-0-0_098079_2010-06-30_final
2010-07-03 10:31:38	ga_ls7e_ard_3-0-0_103081_2010-07-03_final
2010-08-28 11:17:57	ga_ls7e_ard_3-0-0_111073_2010-08-28_final
2010-12-30 10:08:40	ga_ls7e_ard_3-0-0_099083_2010-12-30_final
2011-03-16 10:29:24	ga_ls7e_ard_3-0-0_103072_2011-03-16_final
2011-11-10 11:26:11	ga_ls7e_ard_3-0-0_112075_2011-11-10_final
2012-08-24 09:53:23	ga_ls7e_ard_3-1-0_096086_2012-08-24_final
2014-01-23 11:47:32	ga_ls7e_ard_3-0-0_115074_2014-01-23_final
2014-05-02 10:38:51	ga_ls7e_ard_3-0-0_104071_2014-05-02_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-04-20 11:22:31	ga_ls7e_ard_3-0-0_111067_2015-04-20_final
2015-08-17 11:35:18	ga_ls7e_ard_3-0-0_112082_2015-08-17_final
2016-04-11 10:11:34	ga_ls7e_ard_3-0-0_098083_2016-04-11_final
2016-08-18 09:14:20	ga_ls7e_ard_3-0-0_089078_2016-08-17_final
2016-10-22 11:34:59	ga_ls7e_ard_3-0-0_112074_2016-10-22_final
2017-07-27 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-07-26_final
2019-04-01 11:06:30	ga_ls7e_ard_3-0-0_109075_2019-04-01_final
2019-04-23 10:31:02	ga_ls7e_ard_3-0-0_103081_2019-04-23_final
2020-01-26 09:41:36	ga_ls7e_ard_3-1-0_097080_2020-01-26_final
2020-03-25 10:56:49	ga_ls7e_ard_3-1-0_110075_2020-03-25_final
2020-05-19 10:56:34	ga_ls7e_ard_3-1-0_111067_2020-05-19_final
2020-10-19 10:46:49	ga_ls7e_ard_3-1-0_110082_2020-10-19_final
2020-12-26 10:12:29	ga_ls7e_ard_3-1-0_106070_2020-12-26_final
2021-01-08 09:45:05	ga_ls7e_ard_3-1-0_101081_2021-01-08_final
2021-05-18 09:18:05	ga_ls7e_ard_3-2-0_099070_2021-05-17_final
2021-07-01 09:43:31	ga_ls7e_ard_3-2-0_103081_2021-07-01_final
2021-08-15 09:05:07	ga_ls7e_ard_3-2-0_098072_2021-08-14_final
2021-10-26 08:14:54	ga_ls7e_ard_3-2-0_090086_2021-10-25_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