基于卫星遥感影像的森林病虫害监测研究进展
收稿日期: 2019-12-31
修回日期: 2020-04-19
网络出版日期: 2020-06-15
基金资助
国家自然科学基金项目(30871965);南平市自然科学基金联合资助项目(2019J14);福建林业职业技术学院院士专家工作站项目(2019YSZ003)
Research Progress in the Monitoring of Forest Diseases, Insect and Pests Based on Satellite Remote Sensing Images
Received date: 2019-12-31
Revised date: 2020-04-19
Online published: 2020-06-15
森林病虫害是森林的主要灾害,快速准确监测森林病虫害是开展病虫害防治的关键。利用卫星遥感影像监测森林病虫害是一种经济高效的手段。为进一步加强森林病虫害遥感监测的研究和实践,综合分析了国内外利用卫星遥感影像监测森林病虫害研究现状,系统总结了应用卫星遥感影像监测森林病虫害的主要技术方法,深入分析了存在的主要问题并进行研究展望。研究表明:森林病虫害遥感监测研究中主要存在3个问题:1)高空间分辨率影像的研究不足;2)影像纹理信息挖掘不充分;3)失叶遥感监测挑战大等问题。针对上述存在的主要问题,研究提出对策建议:1)多源遥感数据的综合应用;2)增强图像处理技术;3)加强病虫害生境因子的利用;4)构建病虫害遥感监测系统平台等。
亓兴兰 , 曹祖宁 , 刘健 , 陈芳 , 庄苇 . 基于卫星遥感影像的森林病虫害监测研究进展[J]. 林草资源研究, 2020 , 0(2) : 181 -186 . DOI: 10.13466/j.cnki.lyzygl.2020.02.027
Forest diseases,incect and pests are the main disasters of forests.Rapid and accurate monitoring of forest diseases,insect and pests is the key of pests and diseases control.Using satellite remote sensing image to monitor forest diseases,insect and pests is an economical and efficient means.To further strengthen the research and practice of remote sensing monitoring of forest diseases,insect and pests,the present situation of domestic and foreign research on the monitor of forest diseases,insect and pests with remote sensing images was comprehensively analyzed.On this basis,the main technical methods of monitoring forest diseases and insect pests by satellite remote sensing image are summarized systematically,and the main problems and research future are analyzed deeply.Research result shows the following three main problems existing in the studies of remote sensing monitoring forest diseases,insect and pests,including:(1) insufficient research on high spatial resolution image;(2) inadequate mining on image texture information;(3) challenge in remote sensing monitoring of leaf loss.This paper puts forward four countermeasures and suggestions in view of the above main problems,including:(1) comprehensive application of multi-source remote sensing data;(2) to enhance image processing technology;(3) to strengthen the use of pest habitat factors;(4)construction of remote sensing monitoring system platform for diseases and pests,etc.
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