Understanding forest health with remote sensing-part I—a review of spectral traits, processes and remote-sensing characteristics
Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …
In Situ/Remote Sensing Integration to Assess Forest Health—A Review
M Pause, C Schweitzer, M Rosenthal, V Keuck… - Remote Sensing, 2016 - mdpi.com
For map**, quantifying and monitoring regional and global forest health, satellite remote
sensing provides fundamental data for the observation of spatial and temporal forest …
sensing provides fundamental data for the observation of spatial and temporal forest …
Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat‐8
Natural disturbances induced by insect outbreaks have increased in forest ecosystems over
the past decades. To minimize economic loss and prevent a mass outbreak, early detection …
the past decades. To minimize economic loss and prevent a mass outbreak, early detection …
Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning
Leaf mass per area (LMA) and leaf equivalent water thickness (EWT) are key leaf functional
traits providing information for many applications including ecosystem functioning modeling …
traits providing information for many applications including ecosystem functioning modeling …
A methodology to derive global maps of leaf traits using remote sensing and climate data
This paper introduces a modular processing chain to derive global high-resolution maps of
leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf …
leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf …
Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically-and empirically-based …
Leaf spectroscopy provides an efficient way of predicting foliar functional traits, commonly
using physically-and empirically-based models. However, the generality of both models has …
using physically-and empirically-based models. However, the generality of both models has …
European spruce bark beetle (Ips typographus, L.) green attack affects foliar reflectance and biochemical properties
The European spruce bark beetle Ips typographus, L.(hereafter bark beetle), causes major
economic loss to the forest industry in Europe, especially in Norway Spruce (Picea abies) …
economic loss to the forest industry in Europe, especially in Norway Spruce (Picea abies) …
[BUCH][B] Hyperspectral remote sensing: fundamentals and practices
R Pu - 2017 - taylorfrancis.com
Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …
applications are the key features of the book. This book will present in one volume complete …
Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models
The radiative transfer model (RTM) simulates forward spectral reflectance of vegetation and
is used to estimate physical parameters using backwards inversion. However, differentiation …
is used to estimate physical parameters using backwards inversion. However, differentiation …
Map** leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model
Leaf chlorophyll plays an essential role in controlling photosynthesis, physiological activities
and forest health. In this study, the performance of Sentinel-2 and RapidEye satellite data …
and forest health. In this study, the performance of Sentinel-2 and RapidEye satellite data …