UAV-BORNE THERMAL IMAGING FOR FOREST HEALTH MONITORING: DETECTION OF DISEASE-INDUCED CANOPY TEMPERATURE INCREASE

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2. Use of Miniature Thermal Cameras for Detection of Physiological Stress in Conifers M. Smigaj et al. 10.3390/rs9090957
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35. Detection of Eucalyptus Leaf Disease with UAV Multispectral Imagery K. Liao et al. 10.3390/f13081322
36. Mekansal Termal Konfor Açısından Atatürk Üniversitesi Yerleşkesi Termal Kamera Görüntülerinin Analizi S. YILMAZ et al. 10.17097/ataunizfd.535209
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