One non destructive method of biomass quantization involves exploiting biophysical parameters of trees such as diameter at breast height (DBH), height, basal area, volume and stocking. Generally, these parameters are estimated through model functions or algorithms which transform a set of remote sensing observations into biophysical measurements. Several studies have investigated the estimation...

BACKGROUND In non-small-cell lung cancer radiotherapy, radiation pneumonitis≥grade 2 (RP2) depends on patients' dosimetric, clinical, biological and genomic characteristics. METHODS We developed a Bayesian network (BN) approach to explore its potential for interpreting biophysical signaling pathways influencing RP2 from a heterogeneous dataset including single nucleotide polymorphisms, micro ...

logistic regression (lr) was used to model urban growth between the years 1987 and 2001 in gorgan city, north east of iran. three groups of variables including economic-social, land use and biophysical variables were used in the modeling practice. using covariance of the independent variables, distance to administrative and sporting centers plus distance to cities were removed. roc (relative op...

Markov state models (MSMs) have proven to be useful tools in simulating large and slowly-relaxing biological systems like proteins. MSMs model proteins through dynamics on a discrete-state energy landscape, allowing molecules to effectively sample large regions of phase space. In this work, we use aspects of MSMs to ask: is protein folding mechanistically robust? We first provide a definition o...

The objective of this paper is to determine spectral quantities of each crop. The best of these two-band indices were further tested to see if soil adjustment or nonlinbands that are best suited for characterizing agricultural crop biophysical variables. The data for this study comes ear fitting could improve their predictive accuracy. The best of the narrow band NDVI models explained 64% to fr...

The paper deals with the estimation of biophysical variables in the frame of a precision farming project. N-trials were performed on wheat crops for 2 years, providing a calibration and a validation dataset. Airborne radiometric measurements were acquired over the trials. Biophysisical variables were retrieved from inversion of the radiometric signal through radiative transfer models. To minimi...

With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. This paper introduces an automated spectral band analysis tool (BAT) based on Gaussian processes regression (GPR) for the spectral analysis of veget...