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
2000-03-18 09:30:49	ga_ls7e_ard_3-1-0_094067_2000-03-18_final
2000-05-02 09:06:23	ga_ls7e_ard_3-0-0_089084_2000-05-01_final
2000-06-06 11:11:45	ga_ls7e_ard_3-0-0_110074_2000-06-06_final
2000-08-09 11:10:58	ga_ls7e_ard_3-0-0_110074_2000-08-09_final
2000-09-20 10:09:45	ga_ls7e_ard_3-0-0_100077_2000-09-20_final
2000-11-16 10:04:15	ga_ls7e_ard_3-0-0_099079_2000-11-16_final
2001-02-26 11:04:04	ga_ls7e_ard_3-0-0_109074_2001-02-26_final
2001-06-04 10:51:51	ga_ls7e_ard_3-0-0_107076_2001-06-04_final
2001-08-12 09:27:08	ga_ls7e_ard_3-1-0_094067_2001-08-11_final
2001-08-12 11:08:49	ga_ls7e_ard_3-0-0_110074_2001-08-12_final
2001-10-19 10:42:17	ga_ls7e_ard_3-0-0_106071_2001-10-19_final
2002-01-03 11:08:32	ga_ls7e_ard_3-0-0_110074_2002-01-03_final
2002-01-14 10:50:56	ga_ls7e_ard_3-0-0_107076_2002-01-14_final
2002-03-08 11:08:50	ga_ls7e_ard_3-0-0_110074_2002-03-08_final
2002-05-12 10:16:15	ga_ls7e_ard_3-0-0_101082_2002-05-12_final
2002-06-12 11:08:26	ga_ls7e_ard_3-0-0_110074_2002-06-12_final
2002-08-12 10:37:59	ga_ls7e_ard_3-0-0_105076_2002-08-12_final
2002-08-31 09:26:13	ga_ls7e_ard_3-1-0_094067_2002-08-30_final
2002-09-16 11:07:43	ga_ls7e_ard_3-0-0_110074_2002-09-16_final
2002-11-03 09:26:04	ga_ls7e_ard_3-1-0_094067_2002-11-02_final
2002-11-22 10:01:15	ga_ls7e_ard_3-0-0_099077_2002-11-22_final
2003-05-17 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-05-17_final
2003-08-12 10:07:42	ga_ls7e_ard_3-0-0_100077_2003-08-12_final
2003-08-28 10:07:40	ga_ls7e_ard_3-0-0_100077_2003-08-28_final
2003-11-16 10:07:53	ga_ls7e_ard_3-0-0_100077_2003-11-16_final
2004-09-05 09:26:56	ga_ls7e_ard_3-1-0_094067_2004-09-04_final
2005-01-11 09:27:37	ga_ls7e_ard_3-1-0_094067_2005-01-10_final
2005-01-21 10:08:42	ga_ls7e_ard_3-0-0_100077_2005-01-21_final
2005-02-28 09:27:54	ga_ls7e_ard_3-1-0_094067_2005-02-27_final
2005-12-13 09:27:51	ga_ls7e_ard_3-1-0_094067_2005-12-12_final
2006-07-11 10:57:22	ga_ls7e_ard_3-0-0_108074_2006-07-11_final
2008-04-19 10:09:25	ga_ls7e_ard_3-0-0_100077_2008-04-19_final
2008-06-07 10:53:58	ga_ls7e_ard_3-0-0_107081_2008-06-07_final
2008-08-10 10:50:57	ga_ls7e_ard_3-0-0_107075_2008-08-10_final
2009-01-08 10:57:12	ga_ls7e_ard_3-0-0_108074_2009-01-08_final
2009-07-12 10:52:06	ga_ls7e_ard_3-0-0_107075_2009-07-12_final
2009-09-21 10:57:41	ga_ls7e_ard_3-0-0_108074_2009-09-21_final
2010-07-31 10:53:59	ga_ls7e_ard_3-0-0_107075_2010-07-31_final
2010-11-09 09:30:52	ga_ls7e_ard_3-1-0_094067_2010-11-09_final
2012-07-04 10:56:23	ga_ls7e_ard_3-0-0_107075_2012-07-04_final
2013-06-20 10:12:32	ga_ls7e_ard_3-0-0_100071_2013-06-20_final
2015-02-08 09:36:55	ga_ls7e_ard_3-0-0_094067_2015-02-08_final
2015-03-08 10:08:37	ga_ls7e_ard_3-0-0_098084_2015-03-08_final
2016-05-01 09:40:36	ga_ls7e_ard_3-1-0_094067_2016-05-01_final
2016-06-05 10:16:50	ga_ls7e_ard_3-0-0_099080_2016-06-05_final
2016-06-07 11:43:22	ga_ls7e_ard_3-1-0_113080_2016-06-07_final
2016-06-23 11:44:36	ga_ls7e_ard_3-0-0_113083_2016-06-23_final
2017-03-01 09:40:18	ga_ls7e_ard_3-1-0_094067_2017-03-01_final
2017-11-18 10:48:36	ga_ls7e_ard_3-0-0_104082_2017-11-18_final
2018-01-23 10:35:06	ga_ls7e_ard_3-0-0_102081_2018-01-23_final
2019-12-14 10:01:08	ga_ls7e_ard_3-1-0_100077_2019-12-14_final
2020-11-20 08:59:47	ga_ls7e_ard_3-1-0_094067_2020-11-19_final
2021-06-13 09:56:58	ga_ls7e_ard_3-2-0_105080_2021-06-13_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_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