J.G. Ferwerda
University of Twente
29 Papers
156 Citations
J.G. Ferwerda is an academic researcher from University of Twente. The author has contributed to research in topics: Hyperspectral imaging & Mopane. The author has an hindex of 17, co-authored 29 publications. Previous affiliations of J.G. Ferwerda include RMIT University & Wageningen University and Research Centre.
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Papers
Remote sensing of nitrogen and water stress in wheat
Adam K. Tilling,Garry O'Leary,J.G. Ferwerda,Simon D. Jones,Glenn J. Fitzgerald,Daniel Rodriguez,R. Belford +6 more
TL;DR: In this article, spectral and thermal crop stress detection methods were explored using hyperspectral, multispectral and thermal remote sensing data collected at a research field site in Victoria, Australia.
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Forage quality of savannas - Simultaneously mapping foliar protein and polyphenols for trees and grass using hyperspectral imagery
Andrew K. Skidmore,Andrew K. Skidmore,J.G. Ferwerda,Onisimo Mutanga,Sipke E. van Wieren,Michael J. Peel,Rina Grant,Herbert H. T. Prins,Filiz Bektas Balcik,V. Venus +9 more
TL;DR: In this paper, the spatial variation of foliar nitrogen (crude protein) as well as the total amount of polyphenols, in grasses and trees in the African savanna were investigated.
185
Can nutrient status of four woody plant species be predicted using field spectrometry
J.G. Ferwerda,Andrew K. Skidmore +1 more
TL;DR: In this article, the potential of hyperspectral remote sensing to predict the chemical composition (i.e., nitrogen, phosphorous, calcium, potassium, sodium, and magnesium) of three tree species and one shrub species (heather) was demonstrated.
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The function of remote sensing in support of environmental policy
Jan W. de Leeuw,Yola Georgiadou,Norman Kerle,Alfred de Gier,Yoshio Inoue,J.G. Ferwerda,Maarten Smies,Davaa Narantuya +7 more
TL;DR: The paper concludes that the potential of earth observation to control and evaluate, and thus assess the efficiency and effectiveness of policy, offers the possibility of strengthening governance.
Satellite-based monitoring of tropical seagrass vegetation: current techniques and future developments
TL;DR: In this article, the authors examine the ability of remote sensing to serve as an information provider for seagrass monitoring and present a review of current literature on coastal remote sensing.
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