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Inge Jonckheere
Researcher at Food and Agriculture Organization
Publications - 41
Citations - 5970
Inge Jonckheere is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Hemispherical photography & Normalized Difference Vegetation Index. The author has an hindex of 20, co-authored 40 publications receiving 5374 citations. Previous affiliations of Inge Jonckheere include United Nations & Katholieke Universiteit Leuven.
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Digital change detection methods in ecosystem monitoring: a review
TL;DR: This review paper, which summarizes the methods and the results of digital change detection in the optical/infrared domain, has as its primary objective a synthesis of the state of the art today.
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Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography
TL;DR: It is suggested that the use of a digital camera with high dynamic range has the potential to overcome a number of described technical problems related to indirect LAI estimation.
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Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling
TL;DR: In this paper, the theoretical background of modeling the gap fraction and the leaf inclination distribution is presented and different techniques used to derive leaf area index (LAI) and leaf inclination angle from gap fraction measurements are reviewed.
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Influence of measurement set-up of ground-based LiDAR for derivation of tree structure
TL;DR: In this article, the authors investigated the influence of a geometric laser measurement pattern and shadow effect on the accuracy of a quantitative mathematical description of individual tree structure using a terrestrial laser system.
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Assessment of automatic gap fraction estimation of forests from digital hemispherical photography
TL;DR: The automatic Ridler clustering method proved to be the most robust thresholding method for various canopy structure conditions, and might be the best solution for a fast, reliable and objective use of hemispherical photographs for gap fraction and LAI estimation in forest stands, given that the threshold setting is no longer manually performed.