A review of nonlinear hyperspectral unmixing methods
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 …
variety of techniques based on this model has been proposed to obtain endmembers and …
Applications of vegetative indices from remote sensing to agriculture: Past and future
Remote sensing offers the capability of observing an object without being in contact with the
object. Throughout the recent history of agriculture, researchers have observed that different …
object. Throughout the recent history of agriculture, researchers have observed that different …
An introduction to the NASA Hyperspectral InfraRed Imager (HyspIRI) mission and preparatory activities
Abstract In 2007, the NASA Hyperspectral InfraRed Imager (HyspIRI) mission was
recommended in Earth Science and Applications from Space: National Imperatives for the …
recommended in Earth Science and Applications from Space: National Imperatives for the …
Urban tree health assessment using airborne hyperspectral and LiDAR imagery
J Degerickx, DA Roberts, JP McFadden… - International journal of …, 2018 - Elsevier
Urban trees provide valuable ecosystem services but are at the same time under continuous
pressure due to unfavorable site conditions. In order to better protect and manage our …
pressure due to unfavorable site conditions. In order to better protect and manage our …
Assessing soil organic matter of reclaimed soil from a large surface coal mine using a field spectroradiometer in laboratory
N Bao, L Wu, B Ye, K Yang, W Zhou - Geoderma, 2017 - Elsevier
Soil organic matter (SOM) for topsoil is one of most important indicators to support the
success of mine ecological reclamation. SOM varies along the artificial mine landscape …
success of mine ecological reclamation. SOM varies along the artificial mine landscape …
GSV: a general model for hyperspectral soil reflectance simulation
Soil background reflectance is a critical component in canopy radiative transfer (RT) models.
However, few efforts have been devoted to the development of soil reflectance models …
However, few efforts have been devoted to the development of soil reflectance models …
Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment
Understanding how biophysical and biochemical variables contribute to the spectral
characteristics of vegetation canopies is critical for their monitoring. Quantifying these …
characteristics of vegetation canopies is critical for their monitoring. Quantifying these …
Sustainable food systems with ICT
A Svenfelt, JL Zapico - ICT for Sustainability 2016, 2016 - atlantis-press.com
The food system is burdened by many and severe negative environmental and social
impacts. Two of the reasons for the impacts are the increasing scale and globalisation of the …
impacts. Two of the reasons for the impacts are the increasing scale and globalisation of the …
Unmixing-based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress
S Delalieux, PJ Zarco-Tejada, L Tits… - IEEE Journal of …, 2014 - ieeexplore.ieee.org
Many applications require a timely acquisition of high spatial and spectral resolution remote
sensing data. This is often not achievable since spaceborne remote sensing instruments …
sensing data. This is often not achievable since spaceborne remote sensing instruments …
Quantifying nonlinear spectral mixing in vegetated areas: Computer simulation model validation and first results
Our understanding of nonlinear mixing events in vegetated areas is currently hampered by a
pertinent lack of well-validated datasets. Most quantification and modeling efforts are …
pertinent lack of well-validated datasets. Most quantification and modeling efforts are …