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Spectral characterization of plant diversity in a biodiversity‐enriched oil palm plantation

Remote Sensing in Ecology and Conservation, EarlyView.
How well can airborne imaging spectroscopy detect plant diversity in vertically complex agroforestry systems? We tested this in a biodiversity‐enriched oil palm plantation in Sumatra, Indonesia, using high‐resolution hyperspectral data. We calculated spectral alpha and beta diversity and compared them to field‐based plant diversity.
Vannesa Montoya‐Sánchez, Anna K. Schweiger, Michael Schlund, Gustavo Brant Paterno, Stefan Erasmi, Holger Kreft, Dirk Hölscher, Fabian Brambach, Bambang Irawan, Leti Sundawati, Delphine Clara Zemp   +10 more
wiley   +1 more source

Shannon Entropy Efficiency and Geometric Decomposition: The 90% Threshold at x = 1/e

Elias De Jesus
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Redistributing algorithms and Shannon’s Entropy

Aequationes mathematicae, 2022
Shannon's entropy is one of the most popular measures of disorder. Together with the concept of permutation entropy, they are used to quantify the uncertainty and disorder of a time series. This is based on the appearance of ordinal patterns. There are several approaches to calculate the tuples rearrangement of the components with the ups and downs ...
Flavia-Corina Mitroi-Symeonidis, Eleutherius Symeonidis   +1 more
openaire   +3 more sources

Squeezed states and Shannon entropy

Physical Review A, 1994
A wave-function approach to the interaction Hamiltonian for the degenerate parametric amplifier has been recently presented [C. G. Bollini and L. E. Oxman, Phys. Rev. A 47, 2339 (1993)]. We want to show here that a maximum entropy principle density matrix approach can be used to reobtain all the results shown in this reference, and also to avoid the ...
, Aliaga, , Crespo, , Proto
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On Shannon’s entropy power inequality

ANNALI DELL UNIVERSITA DI FERRARA, 1991
We prove that the entropy power inequality follows from Blachman’s argument [1] if the densities have finite moments of order α, for some α>0, whenever Shannon’s variational approach can be applied if α>=2.
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Gibbs vs. Shannon entropies

Journal of Statistical Physics, 1974
The Gibbs neg-entropy -ηG=∫ II ln II is compared to the Shannon negentropy ηs=∑p Inp. The coarse-grained density is II, whilep is a probability sequence. Both objects are defined over partitions of the energy shell within a set-theoretic framework. The dissimilarity of these functionals is exhibited throughηG vs.GηS curves.
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Shannon entropy as a new measure of aromaticity, Shannon aromaticity

Physical Chemistry Chemical Physics, 2010
Based on the local Shannon entropy concept in information theory, a new measure of aromaticity is introduced. This index, which describes the probability of electronic charge distribution between atoms in a given ring, is called Shannon aromaticity (SA).
Siamak, Noorizadeh, Ehsan, Shakerzadeh
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Physical information entropy and probability Shannon entropy

International Journal of Theoretical Physics, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ascoli, R., Urigu, R.
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Symmetry and the Shannon entropy

Information Sciences, 1981
Abstract Some equivalent systems of postulates characterizing the Shannon entropy of a finite discrete complete probability distribution are proposed.
Nath, Prem, Kaur, M. M.
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Bayesian estimation of shannon entropy

Communications in Statistics - Theory and Methods, 1997
Estimation of the Shannon entropy from frequency data is studied. A Bayesian estimator has been proposed using the Dirichlet distribution to incorporate the prior knowledge. An information measure of the frequency data is also presented. Numerical examples are given to illustrate the performance of the Bayesian estimator and the information measure.
Lin Yuan, H. K. Kesavan
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