Spectroscopic detection of forest diseases:a review(1970–2020)

作     者：Lorenzo Cotrozzi Lorenzo Cotrozzi

作者机构：Department of AgricultureFood and EnvironmentUniversity of PisaVia del Borghetto 8056124 PisaItaly 

出 版 物：《Journal of Forestry Research》 (林业研究（英文版）)

年 卷 期：2022年第33卷第1期

页      面：21-38页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0907[农学-林学] 0829[工学-林业工程] 09[农学] 0904[农学-植物保护] 0901[农学-作物学] 

基　　金：funding provided by Universitàdi Pisa within the CRUI-CARE Agreement 

主　　题：Forest management Plant disease detection Refectance Remote sensing Spectral imaging 

摘      要：Sustainable forest management is essential to confront the detrimental impacts of diseases on forest *** review highlights the potential of vegetation spectroscopy in improving the feasibility of assessing forest disturbances induced by diseases in a timely and cost-effective *** basic concepts of vegetation spectroscopy and its application in phytopathology are first outlined then the literature on the topic is *** several optical sensors from leaf to landscape-level,a number of forest diseases characterized by variable pathogenic processes have been detected,identified and quantified in many country sites ***,these reviewed studies have pointed out the green and red regions of the visible spectrum,the red-edge and the early near-infrared as the spectral regions most sensitive to the disease development as they are mostly related to chlorophyll changes and symptom *** disease conditions particularly affect the shortwave-infrared region,mostly related to water *** review also highlights some major issues to be addressed such as the need to explore other major forest diseases and geographic areas,to further develop hyperspectral sensors for early detection and discrimination of forest disturbances,to improve devices for remote sensing,to implement longterm monitoring,and to advance algorithms for exploitation of spectral *** of these goals will enhance the capability of vegetation spectroscopy in early detection of forest stress and in managing forest diseases.