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 …
Earth observation based monitoring of forests in Germany: a review
Forests in Germany cover around 11.4 million hectares and, thus, a share of 32% of
Germany's surface area. Therefore, forests shape the character of the country's cultural …
Germany's surface area. Therefore, forests shape the character of the country's cultural …
Foliar functional traits from imaging spectroscopy across biomes in eastern North America
Foliar functional traits are widely used to characterize leaf and canopy properties that drive
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
ecosystem processes and to infer physiological processes in Earth system models. Imaging …
Tree species classification using plant functional traits from LiDAR and hyperspectral data
Plant functional traits have been extensively used to describe, rank and discriminate species
according to their variability between species in classical plant taxonomy. However, the …
according to their variability between species in classical plant taxonomy. However, the …
Plant functional traits differ in adaptability and are predicted to be differentially affected by climate change
Climate change is testing the resilience of forests worldwide pushing physiological tolerance
to climatic extremes. Plant functional traits have been shown to be adapted to climate and …
to climatic extremes. Plant functional traits have been shown to be adapted to climate and …
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 …
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest
Z Zheng, Y Zeng, FD Schneider, Y Zhao, D Zhao… - Remote Sensing of …, 2021 - Elsevier
Functional diversity (FD) provides a link between biodiversity and ecosystem functioning,
summarizing inter-and intra-specific variation of functional traits. However, quantifying plant …
summarizing inter-and intra-specific variation of functional traits. However, quantifying plant …
Modeling forest canopy cover: a synergistic use of Sentinel-2, aerial photogrammetry data, and machine learning
Forest canopy cover (FCC) is an important ecological parameter of forest ecosystems, and is
correlated with forest characteristics, including plant growth, regeneration, biodiversity, light …
correlated with forest characteristics, including plant growth, regeneration, biodiversity, light …
Mapping foliar functional traits and their uncertainties across three years in a grassland experiment
Foliar functional traits refer to a range of biochemical and physiognomic characteristics of
vegetation that control photosynthesis, nutrient and water cycling, and can be used to …
vegetation that control photosynthesis, nutrient and water cycling, and can be used to …
Comparative analysis of remote sensing and geo-statistical techniques to quantify forest biomass
Accurately characterizing carbon stock is vital for reporting carbon emissions from forest
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …