Results 41 to 50 of about 3,522,681 (315)
Predicting landscape-scale CO2 flux at a pasture and rice paddy with long-term hyperspectral canopy reflectance measurements [PDF]
Biogeosciences, 2015 Measurements of hyperspectral canopy reflectance provide a detailed snapshot of information regarding canopy biochemistry, structure and physiology. In this study, we collected 5 years of repeated canopy hyperspectral reflectance measurements for a total
J. H. Matthes +5 more
doaj +1 more source
Sensors, 2022 Commercial hyperspectral imaging systems typically use CCD or CMOS sensors. These types of sensors have a limited dynamic range and non-linear response. This means that when evaluating an artwork under uncontrolled lighting conditions and with light and ...
Ángela Gómez Manzanares +4 more
doaj +1 more source
Microphytobenthos Primary Production Estimated by Hyperspectral Reflectance [PDF]
PLOS ONE, 2016 Monitoring photosynthesis is a great challenge to improve our knowledge of plant productivity at the ecosystem level, which may be achieved using remote-sensing techniques with synoptic abilities. The main objective of the current study is to take up this challenge for microphytobenthos (MPB) primary production in intertidal mudflats. This was achieved
Méléder, Vona +4 more
openaire +7 more sources
Water, 2022 Combining hydrogeochemical characterization and a hyperspectral reflectance measurement can provide knowledge for groundwater security under different conditions.
Abdulaziz Alqarawy +4 more
semanticscholar +1 more source
Nondestructive detection and biochemical quantification of buckwheat leaves using visible (VIS) and near-infrared (NIR) hyperspectral reflectance imaging [PDF]
Journal of Central European Agriculture, 2017 The present experimental study has been investigated way of use methodology of nondestructive detection with hyperspectral reflectance imaging together with wet chemistry quantitative analysis based on correlation analysis of receiving data.
Oksana SYTAR +5 more
doaj +1 more source
Effective classification of Chinese tea samples in hyperspectral imaging [PDF]
, 2013 Maximum likelihood and neural classifiers are two typical techniques in image classification. This paper investigates how to adapt these approaches to hyperspectral imaging for the classification of five kinds of Chinese tea samples, using visible light ...
Ren, Jinchang +2 more
core +4 more sources
HIDSAG: Hyperspectral Image Database for Supervised Analysis in Geometallurgy
Scientific Data, 2023 Supervised analysis using spectral data requires a well-informed characterisation of the response variables and abundant spectral data points. The presented hyperspectral dataset comes from five sets of geometallurgical samples, each characterised by ...
Alejandro Ehrenfeld +6 more
doaj +1 more source
Spectral Complexity of Hyperspectral Images: A New Approach for Mangrove Classification
Remote Sensing, 2021 Hyperspectral remote sensing across multiple spatio-temporal scales allows for mapping and monitoring mangrove habitats to support urgent conservation efforts.
Patrick Osei Darko +3 more
doaj +1 more source
Sensory representation of surface reflectances: assessments with hyperspectral images [PDF]
Journal of the Optical Society of America A, 2023 Specifying surface reflectances in a simple and perceptually informative way would be beneficial for many areas of research and application. We assessed whether a 3×3 matrix may be used to approximate how a surface reflectance modulates the sensory color signal across illuminants.
Hamed Karimipour +2 more
openaire +3 more sources
Modeling Sea Bottom Hyperspectral Reflectance [PDF]
Applied Sciences, 2018 Over the near-ultraviolet (UV) and visible spectrum the reflectance from mineral compounds and vegetation is predominantly due to absorption and scattering in the bulk material. Except for a factor of scale, the radiative transfer mechanism is similar to that seen in murky optically complex waters.
Georges Fournier +2 more
openaire +2 more sources