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
2000-03-12 10:11:52	ga_ls7e_ard_3-0-0_100077_2000-03-12_final
2000-04-11 10:25:36	ga_ls7e_ard_3-0-0_102081_2000-04-11_final
2000-04-22 10:03:49	ga_ls7e_ard_3-0-0_099073_2000-04-22_final
2000-04-28 09:27:33	ga_ls7e_ard_3-0-0_093075_2000-04-27_final
2001-06-16 11:18:27	ga_ls7e_ard_3-0-0_111081_2001-06-16_final
2001-09-08 10:50:21	ga_ls7e_ard_3-0-0_107075_2001-09-08_final
2001-11-02 10:53:53	ga_ls7e_ard_3-0-0_108069_2001-11-02_final
2002-12-03 09:38:51	ga_ls7e_ard_3-0-0_096067_2002-12-03_final
2003-04-04 10:22:00	ga_ls7e_ard_3-0-0_102081_2003-04-04_final
2003-04-16 10:44:20	ga_ls7e_ard_3-1-0_106075_2003-04-16_final
2003-12-28 10:42:05	ga_ls7e_ard_3-0-0_106069_2003-12-28_final
2004-02-28 10:56:40	ga_ls7e_ard_3-0-0_108074_2004-02-28_final
2004-07-14 10:50:44	ga_ls7e_ard_3-0-0_107075_2004-07-14_final
2004-12-30 10:44:55	ga_ls7e_ard_3-1-0_106075_2004-12-30_final
2005-03-27 10:51:26	ga_ls7e_ard_3-0-0_107075_2005-03-27_final
2005-10-24 09:39:50	ga_ls7e_ard_3-0-0_096067_2005-10-24_final
2006-03-13 10:09:24	ga_ls7e_ard_3-0-0_100077_2006-03-13_final
2007-07-30 10:55:41	ga_ls7e_ard_3-0-0_108069_2007-07-30_final
2008-03-18 10:09:26	ga_ls7e_ard_3-0-0_100077_2008-03-18_final
2008-05-21 10:09:15	ga_ls7e_ard_3-0-0_100077_2008-05-21_final
2008-07-26 09:52:14	ga_ls7e_ard_3-0-0_098067_2008-07-26_final
2008-08-29 11:25:19	ga_ls7e_ard_3-0-0_112084_2008-08-29_final
2009-01-16 10:09:00	ga_ls7e_ard_3-0-0_100077_2009-01-16_final
2009-10-03 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-10-03_final
2010-04-13 09:42:48	ga_ls7e_ard_3-0-0_096067_2010-04-13_final
2010-09-18 10:00:01	ga_ls7e_ard_3-0-0_098079_2010-09-18_final
2011-01-09 10:42:15	ga_ls7e_ard_3-0-0_105074_2011-01-09_final
2011-03-20 10:04:17	ga_ls7e_ard_3-0-0_099071_2011-03-20_final
2011-04-16 09:44:12	ga_ls7e_ard_3-0-0_096067_2011-04-16_final
2011-09-17 10:26:32	ga_ls7e_ard_3-0-0_102081_2011-09-17_final
2012-11-29 10:35:25	ga_ls7e_ard_3-0-0_103081_2012-11-29_final
2012-12-30 09:46:45	ga_ls7e_ard_3-0-0_096067_2012-12-30_final
2013-03-20 09:46:41	ga_ls7e_ard_3-0-0_096067_2013-03-20_final
2013-12-17 09:46:54	ga_ls7e_ard_3-0-0_096067_2013-12-17_final
2015-01-15 10:28:14	ga_ls7e_ard_3-0-0_102072_2015-01-15_final
2015-11-15 10:33:58	ga_ls7e_ard_3-0-0_102081_2015-11-15_final
2016-01-10 11:18:40	ga_ls7e_ard_3-0-0_110067_2016-01-10_final
2016-05-01 11:22:40	ga_ls7e_ard_3-0-0_110075_2016-05-01_final
2016-09-26 09:23:50	ga_ls7e_ard_3-0-0_090086_2016-09-25_final
2017-02-10 10:48:30	ga_ls7e_ard_3-0-0_105068_2017-02-10_final
2017-02-22 11:15:21	ga_ls7e_ard_3-0-0_109073_2017-02-22_final
2017-06-21 11:22:56	ga_ls7e_ard_3-0-0_110075_2017-06-21_final
2017-11-10 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-11-10_final
2018-04-03 09:51:32	ga_ls7e_ard_3-0-0_096067_2018-04-03_final
2018-04-19 09:51:16	ga_ls7e_ard_3-0-0_096067_2018-04-19_final
2019-12-18 09:32:13	ga_ls7e_ard_3-1-0_096067_2019-12-18_final
2020-03-18 10:50:38	ga_ls7e_ard_3-1-0_109074_2020-03-18_final
2020-11-01 08:37:23	ga_ls7e_ard_3-1-0_089085_2020-10-31_final
2020-11-18 09:12:17	ga_ls7e_ard_3-1-0_096067_2020-11-17_final
2021-02-22 09:05:18	ga_ls7e_ard_3-2-0_096067_2021-02-21_final
2021-03-26 09:02:46	ga_ls7e_ard_3-2-0_096067_2021-03-25_final
2021-07-26 09:35:12	ga_ls7e_ard_3-2-0_102081_2021-07-26_final
2021-08-07 09:56:28	ga_ls7e_ard_3-2-0_106075_2021-08-07_final
2021-09-23 10:47:58	ga_ls7e_ard_3-2-0_115075_2021-09-23_final
2022-03-12 09:27:54	ga_ls7e_ard_3-2-1_105070_2022-03-11_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