A Statistical Forest Reflectance Model

Estimating Forest fAPAR from Multispectral Landsat-8 Data Using the Invertible Forest Reflectance Model INFORM

The estimation of the Fraction of Absorbed Photosynthetically Active Radiation in forests (forest fAPAR) from multi-spectral Landsat-8 data is investigated in this paper using a physically based radiative transfer model (Invertible Forest Reflectance Model, INFORM) combined with an inversion strategy based on artificial neural nets (ANN). To derive the forest fAPAR for the Dabie mountain test s...

Estimating Conifer Forest Lai with Hymap Data Using a Reflectance Model and Artificial Neural Nets

The potential of canopy reflectance modelling to retrieve structural variables in managed Norway spruce stands was investigated using the invertible forest reflectance model INFORM. INFORM was derived by coupling FLIM, SAIL and LIBERTY models, and was inverted with hyperspectral airborne HyMap data using a neural network approach. A relatively simple three layer feed-forward backpropagation neu...

A Generalized Linear Statistical Model Approach to Monitor Profiles

Statistical process control methods for monitoring processes with univariate ormultivariate measurements are used widely when the quality variables fit to known probabilitydistributions. Some processes, however, are better characterized by a profile or a function of qualityvariables. For each profile, it is assumed that a collection of data on the response variable along withthe values of the c...

Canopy Reflectance Model Inversion in Multiple Forward Mode: Forest Structural Information Retrieval from Solution Set Distributions

Remote estimation of canopy structure is important in forestry and a variety of environmental applications. Multiple Forward Mode (MFM) look-up table (LUT) inversion of canopy reflectance models is one approach for obtaining forest canopy biophysical-structural information (BSI). MFM provides inversion results from models that are not invertible directly, and has advantages in terms of software...

A New Model for Text Coherence Evaluation using Statistical Characteristics