[1014] - Quantification of land-surface heterogeneity via entropy spectrum method

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
VERY IMPORTANT!
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
Features
Citation
Hintz, M., Lennartz-Sassinek, S., Liu, S., Shao, Y., 2014. Quantification of land-surface heterogeneity via entropy spectrum method. Journal of Geophysical Research: Atmospheres, 119 (14), 8764 - 8777. DOI: 10.1002/2014JD021825.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Identification
Title(s):Main Title: Quantification of land-surface heterogeneity via entropy spectrum method
Description(s):Abstract: Surface heterogeneity is present on every scale of the land surface. However, its role in the exchange processes between the land surface and the atmosphere is still an open question. In this paper, we present a method, which combines the decomposition of land-surface heterogeneity into fine and coarse structures with the quantification of the structures using information entropy. The resulting entropy spectrum allows the assessment of the amount of information on different scales. The wavelet transformation and the most frequent-value method are used as filters for the decomposition. We also derive an analytical formula for estimation of the probability density function (PDF) of filtered random surface parameters using the most frequent-value method. By analyzing the entropy spectrum of synthetic data, we derive rules for the interpretation of the entropy spectrum. We then apply them to real data and appraise, which scale of the heterogeneity is important for land surface and atmosphere interactions.
Identifier(s):DOI: 10.1002/2014JD021825
Citation Advice:Hintz, M., Lennartz-Sassinek, S., Liu, S., Shao, Y., 2014. Quantification of land-surface heterogeneity via entropy spectrum method. Journal of Geophysical Research: Atmospheres, 119 (14), 8764 - 8777. DOI: 10.1002/2014JD021825.
Responsible Party
Creator(s):Author: Michael Hintz
Author: Sabine Lennartz-Sassinek
Author: Shaofeng Liu
Author: Yaping Shao
Publisher:Wiley Online Library
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Atmosphere, Land-Atmosphere Interaction
File Details
File Name:Hintz_et_al_2014_JoGR.pdf
Data Type:Text
Size(s):14 Pages
File Size:2110 kB (2.061 MB)
Date(s):Available: 2014-07-28
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2014
Type:Article
Article Type:Journal
Source:Journal of Geophysical Research: Atmospheres
Issue:14
Volume:119
Number Of Pages:14
Page Range:8764 - 8777
Metadata Details
Metadata Creator:Tanja Kramm
Metadata Created:2014-09-01
Metadata Last Updated:2014-09-01
Subproject:D6
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:367
Metadata Downloads:0
Dataset Downloads:6
Dataset Activity
Features