基于卫星遥感数据的森林病虫害监测与评价

doi:10.11821/dlyj020180299

摘要/Abstract

摘要：

森林病虫害由于在森林资源中造成的重大破坏而被人们称为“不冒烟的火灾”,其对生态系统的研究具有重要意义。现有基于遥感数据的病虫害研究多集中在森林病虫害的监测、爆发原因以及发病区域内生产力的变化情况,而对于森林病虫害发生后森林中植被指数与叶面积指数之间的相关性的变化情况还相对较少,处于需要持续性深入探讨的阶段。以加拿大不列颠哥伦比亚地区2002—2012年森林病虫害数据为基础,分析不同严重程度的病虫害对叶面积指数（LAI）与归一化植被指数（NDVI）和增强型植被指数（EVI）的影响。结果表明：① 受病虫害感染的像元在轻度（Light）、中度（Moderate）和重度（Severe）三个严重级别中,NDVI与LAI之间的相关性由弱变强,又由强变弱;② EVI与LAI之间的相关性,在轻度（Light）、中度（Moderate）和重度（Severe）三个严重级别的像元中则依次变强。这一研究将为今后利用遥感数据识别病虫害、评价生态系统影响提供基础。

关键词: 森林病虫害, 归一化植被指数NDVI, 增强型植被指数EVI, 叶面积指数LAI, 相关性

Abstract:

Forest insect has been known as the "Fire without Smoke" due to their major damages to forest resources. Therefore it is of great significance for research on ecosystem safety. Current remote sensing based monitoring of forest insect outbreak mainly focuses on its distributions, reasons and consequent influences on productivity. Using insect outbreak data acquired at British Colombia in Canada over 2002-2012, we here provide an analysis of the impacts of insect intensity on relationship between leaf area index (LAI) and the normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI). We showed that for pixels converting from light to moderate and from moderate to severe, correlations between LAI and NDVI became higher first, then lower evidently and correlations between LAI and EVI became higher consistently. Furthermore, for severely-affected regions, the correlation became stronger. Our results provide a good reference for the future assessment of insect damage on ecosystem function using remote sensing observations.

Key words: forest pests and diseases, Normalized Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), correlation

郭仲伟, 吴朝阳, 汪箫悦. 基于卫星遥感数据的森林病虫害监测与评价[J]. 地理研究, 2019, 38(4): 831-843.

Zhongwei GUO, Chaoyang WU, Xiaoyue WANG. Forest insect-disease monitoring and estimation based on satellite remote sensing data[J]. GEOGRAPHICAL RESEARCH, 2019, 38(4): 831-843.

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严重程度分类	像元感染树木百分比（%）
极少（Trace）	<1
轻度（Light）	1~10
中度（Moderate）	11~30
重度（Severe）	31~50
极重（Very Severe）	>50

相关程度		相关关系
相关程度		强相关	中等相关	弱相关	不相关	合计
NDVI与LAI相关性	数量	111659	102501	71344	593279	878783
NDVI与LAI相关性	百分比（%）	12.7	11.7	8.1	67.5	100
EVI与LAI相关性	数量	94148	102491	75372	606750	878761
EVI与LAI相关性	百分比（%）	10.7	11.7	8.6	69	100

相关性	轻度（Light）	中度（Moderate）	重度（Severe）
NDVI和LAI	y=55.9x-19.8	y=63.1x-25.1	y=53.7x-20.5
EVI和LAI	y=67.0x-2.5	y=71.7x-3.5	y=78.3x-5.2