Hyperspectral

Detection of Xylella Fastidiosa Infection Symptoms with Airborne Multispectral and Thermal Imagery: Assessing Bandset Reduction Performance from Hyperspectral Analysis

Xylella fastidiosa (Xf) is a harmful plant pathogenic bacterium, able to infect over 500 plant species worldwide. Successful eradication and containment strategies for harmful pathogens require large-scale monitoring techniques for the detection of …

Chlorophyll Content Estimation in an Open-Canopy Conifer Forest with Sentinel-2A and Hyperspectral Imagery in the Context of Forest Decline

With the advent of Sentinel-2, it is now possible to generate large-scale chlorophyll content maps with unprecedented spatial and temporal resolution, suitable for monitoring ecological processes such as vegetative stress and/or decline. However …

Differentiating Plant Functional Types Using Reflectance: Which Traits Make the Difference?

Abiotic ecosystem properties together with plant species interaction create differences in structural and physiological traits among plant species. Certain plant traits cause a spatial and temporal variation in canopy reflectance that enables the …

How Canopy Shadow Affects Invasive Plant Species Classification in High Spatial Resolution Remote Sensing

Plant invasions can result in serious threats for biodiversity and ecosystem functioning. Reliable maps at very-high spatial resolution are needed to assess invasions dynamics. Field sampling approaches could be replaced by unmanned aerial vehicles …

Proximal VIS-NIR Spectrometry to Retrieve Substance Concentrations in Surface Waters Using Partial Least Squares Modelling

Many water quality parameters such as concentrations of suspended matter, nutrients and algae directly or indirectly change the electromagnetic reflectance and transmission properties of surface water bodies. Optical measurement approaches have shown …

Using Aboveground Vegetation Attributes as Proxies for Mapping Peatland Belowground Carbon Stocks

Peatlands are key reservoirs of belowground carbon (C) and their monitoring is important to assess the rapid changes in the C cycle caused by climate change and direct anthropogenic impacts. Frequently, information of peatland area and vegetation …

Linking Plant Strategies and Plant Traits Derived by Radiative Transfer Modelling

Question: Do spatial gradients of plant strategies correspond to patterns of plant traits obtained from a physically based model and hyperspectral imagery? It has previously been shown that reflectance can be used to map plant strategies according to …

Mapping Forest Biomass from Space - Fusion of hyperspectralEO1-Hyperion Data and Tandem-X and WorldView-2 Canopy Heightmodels

Spaceborne sensors allow for wide-scale assessments of forest ecosystems. Combining the products ofmultiple sensors is hypothesized to improve the estimation of forest biomass. We applied interferometric(Tandem-X) and photogrammetric (WorldView-2) …