Coastal regions (including estuaries and deltas) are very complex environments with
diverse hydrodynamic and bio-geomorphological contexts and with important socio …

In hyperspectral unmixing, the prevalent model used is the linear mixing model, and a large
variety of techniques based on this model has been proposed to obtain endmembers and …

When considering the problem of unmixing hyperspectral images, most of the literature in
the geoscience and image processing areas relies on the widely used linear mixing model …

Nonlinear models have recently shown interesting properties for spectral unmixing. This
paper studies a generalized bilinear model and a hierarchical Bayesian algorithm for …

In this work, many of the fundamental and advanced spectral processing methods available
to geologic remote sensing are reviewed. A novel categorization scheme is proposed that …

This paper presents an application of a physic-based method that relies on spectral
inversion procedures to simultaneously estimate concentrations of water constituents, water …

Mainly due to the limited spatial resolution of the data acquisition devices, hyperspectral
image pixels generally result from the mixture of several components that are present in the …

The changes in spatial distribution of intertidal Zostera noltii seagrass beds were studied
with multispectral visible-infrared remote sensing in Bourgneuf Bay (France) over a 14-year …

Coastal sand dunes are highly dynamic aeolian landforms where different spatial patterns
can be observed due to the complex interactions and relationships between landforms and …

Microphytobenthos plays a vital role in estuarine and coastal carbon cycling and food webs.
Yet, the role of exogenous factors, and thus the effects of climate change, in regulating …