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Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 32, 2006 - Issue 1
34
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Article

Application of narrow-band digital camera imagery to plantation canopy condition assessment

Pages 19-32 | Published online: 02 Jun 2014

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ElfatihM. Abdel-Rahman, FethiB. Ahmed, Maurits van den Berg & MikeJ. Way. (2010) Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrata Kobus) damage detection. International Journal of Remote Sensing 31:15, pages 4199-4216.
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Sifiso Xulu, Nkanyiso Mbatha, Kabir Peerbhay, Michael Gebreslasie & Naeem Agjee. (2024) Comparison of different spectral indices to differentiate the impact of insect attack on planted forest stands. Remote Sensing Applications: Society and Environment 33, pages 101087.
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Lorenzo Cotrozzi. (2021) Spectroscopic detection of forest diseases: a review (1970–2020). Journal of Forestry Research 33:1, pages 21-38.
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Michael S. Watt, Ellen Mae C. Leonardo, Honey Jane C. Estarija, Peter Massam, Dilshan de Silva, Renelle O'Neill, David Lane, Rebecca McDougal, Henning Buddenbaum & Pablo J. Zarco-Tejada. (2021) Long-term effects of water stress on hyperspectral remote sensing indicators in young radiata pine. Forest Ecology and Management 502, pages 119707.
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Jane J. Meiforth, Henning Buddenbaum, Joachim Hill & James Shepherd. (2020) Monitoring of Canopy Stress Symptoms in New Zealand Kauri Trees Analysed with AISA Hyperspectral Data. Remote Sensing 12:6, pages 926.
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Christine Stone & Caroline Mohammed. (2017) Application of Remote Sensing Technologies for Assessing Planted Forests Damaged by Insect Pests and Fungal Pathogens: a Review. Current Forestry Reports 3:2, pages 75-92.
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Dennis C. Duro, Nicholas C. CoopsMichael A. Wulder & Tian Han. (2016) Development of a large area biodiversity monitoring system driven by remote sensing. Progress in Physical Geography: Earth and Environment 31:3, pages 235-260.
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