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

45 results

Time (local)	Label
1999-11-30 10:06:18	ga_ls7e_ard_3-0-0_099078_1999-11-30_final
2001-02-09 10:18:29	ga_ls7e_ard_3-0-0_102068_2001-02-09_final
2001-06-11 10:57:10	ga_ls7e_ard_3-0-0_108074_2001-06-11_final
2001-09-23 10:07:45	ga_ls7e_ard_3-0-0_100077_2001-09-23_final
2003-06-01 09:17:46	ga_ls7e_ard_3-0-0_092075_2003-05-31_final
2003-11-08 10:54:00	ga_ls7e_ard_3-0-0_108069_2003-11-08_final
2003-11-12 08:55:16	ga_ls7e_ard_3-0-0_088081_2003-11-11_final
2004-07-25 10:34:55	ga_ls7e_ard_3-0-0_104082_2004-07-25_final
2005-01-22 10:51:10	ga_ls7e_ard_3-0-0_107075_2005-01-22_final
2005-03-28 09:57:01	ga_ls7e_ard_3-0-0_098078_2005-03-28_final
2005-05-15 09:57:21	ga_ls7e_ard_3-0-0_098079_2005-05-15_final
2005-12-25 09:56:37	ga_ls7e_ard_3-0-0_098077_2005-12-25_final
2006-02-11 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-02-11_final
2006-03-06 10:03:13	ga_ls7e_ard_3-0-0_099077_2006-03-06_final
2006-09-07 09:56:55	ga_ls7e_ard_3-0-0_098078_2006-09-07_final
2006-09-23 09:57:13	ga_ls7e_ard_3-0-0_098079_2006-09-23_final
2006-12-16 09:28:24	ga_ls7e_ard_3-1-0_094067_2006-12-15_final
2007-11-19 10:55:42	ga_ls7e_ard_3-0-0_108069_2007-11-19_final
2008-03-17 11:06:39	ga_ls7e_ard_3-1-0_109081_2008-03-17_final
2008-03-18 10:11:50	ga_ls7e_ard_3-0-0_100083_2008-03-18_final
2008-04-06 10:41:08	ga_ls7e_ard_3-0-0_105079_2008-04-06_final
2008-06-07 10:49:35	ga_ls7e_ard_3-0-0_107070_2008-06-07_final
2008-08-02 10:03:10	ga_ls7e_ard_3-0-0_099079_2008-08-02_final
2009-03-09 09:40:42	ga_ls7e_ard_3-0-0_096067_2009-03-09_final
2009-04-07 09:19:10	ga_ls7e_ard_3-0-0_091090_2009-04-06_final
2009-05-16 09:23:05	ga_ls7e_ard_3-0-0_092084_2009-05-15_final
2009-06-18 09:59:33	ga_ls7e_ard_3-0-0_099067_2009-06-18_final
2010-11-12 10:01:49	ga_ls7e_ard_3-0-0_099067_2010-11-12_final
2011-09-19 10:12:34	ga_ls7e_ard_3-0-0_100077_2011-09-19_final
2012-03-16 09:10:13	ga_ls7e_ard_3-1-0_089089_2012-03-15_final
2012-03-16 10:40:44	ga_ls7e_ard_3-0-0_105068_2012-03-16_final
2013-01-27 10:15:30	ga_ls7e_ard_3-0-0_100077_2013-01-27_final
2014-04-01 11:26:15	ga_ls7e_ard_3-1-0_111082_2014-04-01_final
2015-04-26 09:15:23	ga_ls7e_ard_3-1-0_089089_2015-04-25_final
2015-07-02 09:37:53	ga_ls7e_ard_3-1-0_094067_2015-07-02_final
2016-06-12 10:21:51	ga_ls7e_ard_3-0-0_100077_2016-06-12_final
2017-01-17 10:00:29	ga_ls7e_ard_3-0-0_097071_2017-01-17_final
2018-07-04 10:19:02	ga_ls7e_ard_3-0-0_100078_2018-07-04_final
2019-07-08 09:16:49	ga_ls7e_ard_3-0-0_091088_2019-07-07_final
2020-01-24 09:49:41	ga_ls7e_ard_3-1-0_099069_2020-01-24_final
2020-05-03 09:20:39	ga_ls7e_ard_3-1-0_095072_2020-05-02_final
2020-06-13 09:16:48	ga_ls7e_ard_3-1-0_094084_2020-06-12_final
2021-03-31 09:24:54	ga_ls7e_ard_3-2-0_099077_2021-03-30_final
2022-01-14 09:40:54	ga_ls7e_ard_3-2-1_106073_2022-01-14_final
2022-02-21 09:02:03	ga_ls7e_ard_3-2-1_100078_2022-02-20_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