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

56 results

Time (local)	Label
1999-11-13 11:00:26	ga_ls7e_ard_3-0-0_108074_1999-11-13_final
2000-06-08 10:59:23	ga_ls7e_ard_3-0-0_108074_2000-06-08_final
2002-02-23 09:59:37	ga_ls7e_ard_3-0-0_099071_2002-02-23_final
2002-04-20 09:16:03	ga_ls7e_ard_3-1-0_091086_2002-04-19_final
2002-05-29 10:54:10	ga_ls7e_ard_3-0-0_108069_2002-05-29_final
2002-06-16 10:44:06	ga_ls7e_ard_3-1-0_106075_2002-06-16_final
2002-09-05 09:45:57	ga_ls7e_ard_3-0-0_097070_2002-09-05_final
2002-09-08 10:21:13	ga_ls7e_ard_3-0-0_102081_2002-09-08_final
2003-05-18 10:44:40	ga_ls7e_ard_3-0-0_106076_2003-05-18_final
2003-12-08 11:12:37	ga_ls7e_ard_3-0-0_110084_2003-12-08_final
2004-01-16 09:33:21	ga_ls7e_ard_3-0-0_095067_2004-01-16_final
2004-01-29 10:45:03	ga_ls7e_ard_3-0-0_106076_2004-01-29_final
2004-04-09 10:50:59	ga_ls7e_ard_3-0-0_107075_2004-04-09_final
2004-05-04 09:11:52	ga_ls7e_ard_3-1-0_090090_2004-05-03_final
2004-09-16 10:50:23	ga_ls7e_ard_3-0-0_107075_2004-09-16_final
2004-10-11 10:44:30	ga_ls7e_ard_3-0-0_106076_2004-10-11_final
2005-06-06 10:59:51	ga_ls7e_ard_3-0-0_108081_2005-06-06_final
2005-08-18 10:51:04	ga_ls7e_ard_3-0-0_107075_2005-08-18_final
2006-04-12 10:23:17	ga_ls7e_ard_3-0-0_102081_2006-04-12_final
2006-05-16 10:06:58	ga_ls7e_ard_3-0-0_100071_2006-05-16_final
2006-06-02 10:51:49	ga_ls7e_ard_3-0-0_107075_2006-06-02_final
2007-05-20 09:18:48	ga_ls7e_ard_3-0-0_091089_2007-05-19_final
2008-04-07 09:40:44	ga_ls7e_ard_3-0-0_096067_2008-04-07_final
2008-05-30 10:03:48	ga_ls7e_ard_3-0-0_099079_2008-05-30_final
2008-12-16 10:49:16	ga_ls7e_ard_3-0-0_107070_2008-12-16_final
2009-04-07 09:19:10	ga_ls7e_ard_3-0-0_091090_2009-04-06_final
2009-08-16 09:40:45	ga_ls7e_ard_3-0-0_096067_2009-08-16_final
2009-09-01 09:40:46	ga_ls7e_ard_3-0-0_096067_2009-09-01_final
2009-09-21 11:00:53	ga_ls7e_ard_3-1-0_108082_2009-09-21_final
2009-12-06 09:41:26	ga_ls7e_ard_3-0-0_096067_2009-12-06_final
2010-05-14 09:08:14	ga_ls7e_ard_3-0-0_089089_2010-05-13_final
2012-10-11 09:46:15	ga_ls7e_ard_3-0-0_096067_2012-10-11_final
2012-10-22 11:09:56	ga_ls7e_ard_3-0-0_109075_2012-10-22_final
2013-05-11 09:30:07	ga_ls7e_ard_3-1-0_092088_2013-05-11_final
2013-05-19 10:15:10	ga_ls7e_ard_3-0-0_100077_2013-05-19_final
2013-10-14 09:46:35	ga_ls7e_ard_3-0-0_096067_2013-10-14_final
2015-04-11 09:49:47	ga_ls7e_ard_3-0-0_096067_2015-04-11_final
2015-05-29 11:32:33	ga_ls7e_ard_3-0-0_112076_2015-05-29_final
2015-07-28 10:19:03	ga_ls7e_ard_3-0-0_100077_2015-07-28_final
2015-08-30 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-29_final
2016-11-07 09:53:12	ga_ls7e_ard_3-0-0_096067_2016-11-07_final
2017-03-13 10:11:54	ga_ls7e_ard_3-0-0_098084_2017-03-13_final
2017-05-30 10:21:51	ga_ls7e_ard_3-0-0_100077_2017-05-30_final
2018-05-17 10:19:53	ga_ls7e_ard_3-0-0_100078_2018-05-17_final
2019-02-07 10:52:03	ga_ls7e_ard_3-0-0_106081_2019-02-07_final
2019-07-29 11:08:13	ga_ls7e_ard_3-0-0_110075_2019-07-29_final
2019-11-05 09:57:13	ga_ls7e_ard_3-1-0_099078_2019-11-05_final
2019-12-18 09:32:13	ga_ls7e_ard_3-1-0_096067_2019-12-18_final
2020-03-15 10:23:05	ga_ls7e_ard_3-1-0_104082_2020-03-15_final
2020-07-18 09:43:13	ga_ls7e_ard_3-1-0_099078_2020-07-18_final
2020-07-24 10:43:03	ga_ls7e_ard_3-1-0_109074_2020-07-24_final
2020-09-24 09:16:55	ga_ls7e_ard_3-1-0_095085_2020-09-23_final
2020-10-10 09:08:43	ga_ls7e_ard_3-1-0_095067_2020-10-09_final
2020-10-21 10:31:32	ga_ls7e_ard_3-1-0_108075_2020-10-21_final
2020-10-21 10:34:44	ga_ls7e_ard_3-1-0_108083_2020-10-21_final
2021-11-15 09:25:10	ga_ls7e_ard_3-2-1_102081_2021-11-14_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