What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Optics
Pol Coppin focuses on Remote sensing, Ecology, Change detection, Tree canopy and Leaf area index.
His Remote sensing research includes elements of Canopy, Statistics, Artificial intelligence, Point and Laser.
His biological study spans a wide range of topics, including Geographic information system and Geographical distance.
He performs multidisciplinary study in Change detection and Biophysical Phenomena in his work.
In the field of Leaf area index, his study on Hemispherical photography, Leaf angle distribution and Gap fraction overlaps with subjects such as Photography.
Pol Coppin combines subjects such as Sampling, Vegetation canopy, Leaf inclination angle and Digital camera with his study of Leaf angle distribution.
His most cited work include:
- Digital change detection methods in ecosystem monitoring: a review (1544 citations)
- Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography (1042 citations)
- Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling (862 citations)
What are the main themes of his work throughout his whole career to date?
Pol Coppin mostly deals with Remote sensing, Hyperspectral imaging, Canopy, Vegetation and Pixel.
His Remote sensing research is multidisciplinary, incorporating elements of Leaf area index, Normalized Difference Vegetation Index and Tree canopy.
His studies in Hemispherical photography and Leaf angle distribution are all subfields of Leaf area index research.
His Endmember study in the realm of Hyperspectral imaging connects with subjects such as Biotic stress.
His Canopy research is multidisciplinary, incorporating perspectives in Interception, Transpiration, Ray tracing and Orchard.
His work deals with themes such as Biomass, Phenology and Water content, which intersect with Vegetation.
He most often published in these fields:
- Remote sensing (47.32%)
- Hyperspectral imaging (20.09%)
- Canopy (16.96%)
What were the highlights of his more recent work (between 2012-2018)?
- Remote sensing (47.32%)
- PEAR (5.80%)
- Ecology (8.48%)
In recent papers he was focusing on the following fields of study:
Pol Coppin spends much of his time researching Remote sensing, PEAR, Ecology, Canopy and Normalized Difference Vegetation Index.
His work carried out in the field of Remote sensing brings together such families of science as Enhanced vegetation index, Leaf area index and Tree canopy.
His PEAR study combines topics in areas such as Multispectral image, Phenology and Irrigation.
His Resistance and Vegetation study, which is part of a larger body of work in Ecology, is frequently linked to Nephropathia epidemica, Resilience and Vegetation, bridging the gap between disciplines.
In his study, which falls under the umbrella issue of Normalized Difference Vegetation Index, Environmental resource management is strongly linked to Ecological stability.
Pol Coppin focuses mostly in the field of Hyperspectral imaging, narrowing it down to topics relating to Pixel and, in certain cases, Pattern recognition and Spectral signature.
Between 2012 and 2018, his most popular works were:
- A model quantifying global vegetation resistance and resilience to short‐term climate anomalies and their relationship with vegetation cover (79 citations)
- Effects of voxel size and sampling setup on the estimation of forest canopy gap fraction from terrestrial laser scanning data (47 citations)
- How to measure ecosystem stability? An evaluation of the reliability of stability metrics based on remote sensing time series across the major global ecosystems. (46 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Optics
His primary areas of investigation include Remote sensing, Ecological stability, Ecology, Normalized Difference Vegetation Index and Vegetation.
His Remote sensing research integrates issues from Soil science, Water content and Orchard.
Seasonality is closely connected to Bank vole in his research, which is encompassed under the umbrella topic of Ecology.
His Vegetation study incorporates themes from Biomass, Climatology and Time series.
His research on Satellite imagery also deals with topics like
- PEAR and Canopy most often made with reference to Phenology,
- Shadow that connect with fields like Enhanced vegetation index and Leaf area index.
The Hyperspectral imaging study combines topics in areas such as Pixel, Soil water, Mixture model, Alternating least squares and Condition monitoring.
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