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Southern Forests: a Journal of Forest Science Volume 72, 2010 - Issue 1
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Scientific Papers

Variation in foliar water content and hyperspectral reflectance of Pinus patula trees infested by Sirex noctilio

O Mutanga School of Environmental Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa
&
R Ismail School of Environmental Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville, 3209, South Africa
Pages 1-7 | Published online: 26 May 2010

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Sifiso Xulu, Michael T Gebreslasie & Kabir Y Peerbhay. (2019) Remote sensing of forest health and vitality: a South African perspective. Southern Forests: a Journal of Forest Science 81:2, pages 91-102.
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Z. Oumar & O. Mutanga. (2014) Predicting water stress induced by Thaumastocoris peregrinus infestations in plantation forests using field spectroscopy and neural networks. Journal of Spatial Science 59:1, pages 79-90.
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Articles from other publishers (9)

Zhanghua Xu, Bin Li, Hui Yu, Huafeng Zhang, Xiaoyu Guo, Zenglu Li, Lin Wang, Zhicai Liu, Yifan Li, Anqi He & Xuying Huang. (2023) Changing Relationships between Water Content and Spectral Features in Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress. Forests 14:4, pages 702.
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Liming Bian, Huichun Zhang, Yufeng Ge, Jaroslav Čepl, Jan Stejskal & Yousry A. EL-Kassaby. (2022) Closing the gap between phenotyping and genotyping: review of advanced, image-based phenotyping technologies in forestry. Annals of Forest Science 79:1.
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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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Uwe Knauer, Cornelius Styp von Rekowski, Marianne Stecklina, Tilman Krokotsch, Tuan Pham Minh, Viola Hauffe, David Kilias, Ina Ehrhardt, Herbert Sagischewski, Sergej Chmara & Udo Seiffert. (2019) Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers. Remote Sensing 11:23, pages 2788.
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Abel Chemura, Onisimo Mutanga, Mbulisi Sibanda & Pardon Chidoko. (2017) Machine learning prediction of coffee rust severity on leaves using spectroradiometer data. Tropical Plant Pathology 43:2, pages 117-127.
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Abel Chemura, Onisimo Mutanga & Timothy Dube. (2017) Remote sensing leaf water stress in coffee ( Coffea arabica ) using secondary effects of water absorption and random forests. Physics and Chemistry of the Earth, Parts A/B/C 100, pages 317-324.
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Ruiliang PuRuiliang Pu. 2017. Hyperspectral Remote Sensing. Hyperspectral Remote Sensing 325 388 .
Abel Chemura, Onisimo Mutanga & Timothy Dube. (2017) Integrating age in the detection and mapping of incongruous patches in coffee (Coffea arabica) plantations using multi-temporal Landsat 8 NDVI anomalies. International Journal of Applied Earth Observation and Geoinformation 57, pages 1-13.
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Miguel Marabel & Flor Alvarez-Taboada. (2013) Spectroscopic Determination of Aboveground Biomass in Grasslands Using Spectral Transformations, Support Vector Machine and Partial Least Squares Regression. Sensors 13:8, pages 10027-10051.
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