基于NDVI阈值法的森林冰冻受灾范围精确提取

doi:10.3724/SP.J.1047.2017.00549

地球信息科学学报 ›› 2017, Vol. 19 ›› Issue (4): 549-558.doi: 10.3724/SP.J.1047.2017.00549

基于NDVI阈值法的森林冰冻受灾范围精确提取

王学成^1,²(), 杨飞^1,^*(), 高星¹, 李丽³

1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101
2. 中国科学院大学,北京 100049
3. 西安科技大学测绘科学与技术学院,西安 710054

收稿日期:2016-09-12 修回日期:2016-12-14 出版日期:2017-04-20 发布日期:2017-04-20
作者简介:
作者简介：王学成(1991-),男,山东青岛人,硕士生,主要从事基于RS和GIS的森林资源调查方面研究。E-mail:wangxc.15s@igsnrr.ac.cn
基金资助:
国家自然科学基金“冰雪冻灾干扰后亚热带森林生态系统恢复力的动态诊断”(41301607);资源与环境信息系统国家重点实验室青年人才培养基金项目“森林生态系统恢复力的遥感监测”;西藏生态专项课题“西藏生态环境大数据规范与制图展示”

Precise Extraction of Damaged Forest Range Caused by Ice-snow Frozen Disaster Based on the NDVI Threshold Method

WANG Xuecheng^1,²(), YANG Fei^1,^*(), GAO Xing¹, LI Li³

1. Institute of Geographic Sciences and Natural Resources Research, CAS, State Key Laboratory of Resources and Environmental Information System, Beijing 100101, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. College of Surveying Engineering, Xian University of Science and Technology, Xi’an 710054, China

Received:2016-09-12 Revised:2016-12-14 Online:2017-04-20 Published:2017-04-20
Contact: YANG Fei

摘要/Abstract

摘要：

快速提取森林冰雪受灾范围,有利于准确掌握森林受灾情况,为此类灾害性气候事件防灾减灾、森林资源管理和生态保护提供科学依据。本文利用2001-2007年NDVI数据,提取灾前植被NDVI参考值和正常波动范围,结合2008年NDVI数据提取冰雪冻灾范围。该方法弥补了基于单一时相的传统方法（NDVI差值法）忽略植被指数正常波动的问题,分像元提取植被NDVI正常波动范围,使提取结果更加客观合理。与传统方法提取结果对比,省级尺度的验证结果相同（即森林受灾率均为34.72%,而实地调查森林受灾率35.3%）,但2种方法在县市行政单元提取的森林受灾率相差较大。NDVI阈值法提取的森林冰雪受灾范围主要分布于湖南省南部地区,北部地区分布相对较少,而传统方法提取结果主要分布于湖南省北部地区,南部地区分布相对较少。根据实地考察资料显示,相比于传统方法,NDVI阈值法提取结果与实际森林冰雪冻灾空间分布信息更接近,精度更高,更适合于区域大尺度提取森林冰雪受灾范围。

关键词: 森林, 冰雪冻灾, NDVI阈值, 信息提取, 湖南省

Abstract:

Extraction of damaged forest range caused by ice-snow frozen disaster is good for knowing the relevant regional disaster information in time, and it can provide scientific support for disaster prevention and protection of forest resources and ecosystem. We extract pre-disaster plant NDVI reference value and the threshold of normal change with the time series data of 2001-2008. We attained the results of the spatial distribution of Hunan forest disturbed by ice-snow frozen disaster with NDVI data in 2008. The NDVI threshold method can make up for the defect of traditional method based on single-temporal images, which doesn’t take the normal change of vegetation index into consideration. The NDVI threshold method helps extracting different normal change threshold for each pixel, causing the results extracted by NDVI threshold method is more objective and reasonable. Contrasted with the results extracted by the traditional method, the percentage of damaged forest according to two methods have significant difference at county level, although the rates forest disasters with two methods are all 34.74% （the real rate of forest disaster is 35.3%） at provincial level. The forest snow disaster is mainly distributed in southern Hunan province and less in northern Hunan province using the NDVI threshold method, but the results using traditional method is contrary compared to the NDVI threshold method. According to field survey data, the spatial distribution of forest snow disaster using the method of NDVI threshold is more closed to real results compared to traditional method and its extracting accuracy is higher. Therefore, the NDVI threshold method is more suitable for extracting the spatial distribution information of forest snow disaster at large regional scale.

Key words: forests, snow disaster, NDVI threshold, information extraction, Hunan province

王学成, 杨飞, 高星, 李丽. 基于NDVI阈值法的森林冰冻受灾范围精确提取[J]. 地球信息科学学报, 2017, 19(4): 549-558.DOI:10.3724/SP.J.1047.2017.00549

WANG Xuecheng,YANG Fei,GAO Xing,LI Li. Precise Extraction of Damaged Forest Range Caused by Ice-snow Frozen Disaster Based on the NDVI Threshold Method[J]. Journal of Geo-information Science, 2017, 19(4): 549-558.DOI:10.3724/SP.J.1047.2017.00549

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参考文献 17

[17]	[Zhu J F, Qian J P, Liao G S, et al.Forest damage dection from an freezing rain and snow using remote sensing based on object-oriented method and spatial analysis in Nanling Mountain areas[J]. Journal of Mountain Science, 2010,28(4):478-486. ] doi: 10.3969/j.issn.1008-2786.2010.04.012
[18]	蔡菊珍,何月,张小伟,等.基于GIS的浙江省积雪遥感监测与评估研究[J].气象,2010,36(4):85-89. doi: 10.7519/j.issn.1000-0526.2010.4.015
	[Cai J Z, He Y, Zhang X W, et al.Remote sensing monitoring and evaluation of snow cover in Zhejiang Province based on GIS[J]. Meteorogical Monthly, 2010,36(4):85-89. ] doi: 10.7519/j.issn.1000-0526.2010.4.015
[19]	莫伟华,王君华,钟仕全,等.基于MODIS的冰雪遥感灾害监测与评估技术[J].林业科学,2009,45(10):88-93. doi: 10.11707/j.1001-7488.20091015
	[Mo W H, Wang J H, Zhong S Q, et al.Techniques for monitoring and evaluating the snow and ice disaster base on MODIS model[J]. Scientia Silvae Sinicae, 2009,45(10):88-93. ] doi: 10.11707/j.1001-7488.20091015
[20]	Millward A A, Kraft C E.Physical influences of landscape on a large-extent ecological disturbance: the northeastern North American ice storm of 1998[J]. Landscape Ecology, 2003,19(1):99-111.
[21]	Spruce J P, Sader S, Ryan R E, et al.Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaks[J]. Remote Sensing of Environment, 2011,115(2):427-437. doi: 10.1016/j.rse.2010.09.013
[22]	吴健生,陈莎,彭建.基于图像阈值法的森林雪灾损失遥感估测——以云南省为例[J].地理科学进展,2013,32(6):913-923. doi: 10.11820/dlkxjz.2013.06.008
	[Wu J S, Chen S, Peng J.Assessment of forest damage due to ice storm using image thresholding techniques: A case study of Yunnan Province[J]. Progress in Geography, 2013,32(6):913-923. ] doi: 10.11820/dlkxjz.2013.06.008
[23]	管远保. 浅谈冰冻灾害对湖南森林资源的影响[J].湖南林业科技,2008,35(4):80-81. doi: 10.3969/j.issn.1003-5710.2008.04.029
	[Guan Y B.Impacts of freezing disaster on forest resources in Hunan Province[J]. Hunan Forestry Science&Technology, 2008,35(4):80-81. ] doi: 10.3969/j.issn.1003-5710.2008.04.029
[24]	HOLBEN BN.Characteristics of maximum-value composite images from temporal AVHRR data[J]. International Journal of Remote Sensing, 1986,7(11):1417-1434. doi: 10.1080/01431168608948945
[1]	Rhoads A G, Hamburg S P, Fahey T J, et al.Effects of an intense ice storm on the structure of a northern hardwood forest[J]. Can.J.Forest Res, 2002,32:1763-1775. doi: 10.1139/x02-089
[2]	Gu L H, Hanson P J, Post W M, et al.The 2007 eastern US spring freeze: Increased cold damage in a warming world?[J]. BioScience, 2008,58(3):253-262. doi: 10.1641/B580311
[25]	赵志平,邵全琴,黄麟.2008年南方特大冰雪冻灾对森林损毁的NDVI响应分析[J].地球信息科学学报,2009,11(4):535-540.
	[Zhao Z P, Shao Q Q, Huang L.Response of NDVI to forest damages caused by the severe snow and ice: A case study of mountainous forest in central Jiangxi Province[J]. Journal of Geo-Information Science, 2009,11(4):535-540. ]
[3]	Michael C H, Ken A, Martin. The 2007 eastern US spring freeze: Increased cold damage in a warming world?[J]. BioScience, 2008,58(3):253-262. doi: 10.1641/B580311
[4]	徐雅雯,吴可可,朱丽蓉,等.中国南方雨雪冰冻灾害受损森林植被研究进展[J].生态环境学报,2010,26(6):1485-1494. doi: 10.3969/j.issn.1674-5906.2010.06.040
[26]	Sun Y, Gu L H, Robert E D, et al.Forest greenness after the massive 2008 Chinese ice storm: Integrated effects of natural process and human intervention[J]. Environmental Research Letters, 2012,7(3):35702-335708. doi: 10.1088/1748-9326/7/3/035702
[27]	朱高龙,柳艺博,居为民,等.4种常用植被指数的地形效应评估[J].遥感学报,2013,17(1):210-234. doi: 10.11834/jrs.20131380
[4]	[Xu Y W, Wu K K, Zhu L R, et al.A review of freezing rain and snow impacts on forests in southern China[J]. Ecology and Environmental Sciences, 2010,26(6):1485-1494. ] doi: 10.3969/j.issn.1674-5906.2010.06.040
[5]	薛建辉,胡海波.冰雪灾害对森林生态系统的影响与减灾对策[J].林业科学,2008,44(4):1-2. doi: 10.3321/j.issn:1001-7488.2008.04.001
[27]	[Zhu G L, Liu Y B, Ju W M, et al.Evaluation of topographic effects on four commonly used vegetation indices[J]. Journal of Remote Sensing, 2013,17(1):210-234. ] doi: 10.11834/jrs.20131380
[28]	吴大千,刘建,王炜,等.黄河三角洲植被指数与地形要素的多尺度分析[J].植物生态学报, 2009,33(2):237-245. ] doi: 10.3773/j.issn.1005-264x.2009.02.001
[5]	[Xue J H, Hu H B.Impacts of ice-snow disaster on forest ecosystem and the Countermeasures of disaster reduction[J]. Scientia Silvae Sinicae, 2008,44(4):1-2. ] doi: 10.3321/j.issn:1001-7488.2008.04.001
[6]	Hargrove W W, Spruce J P, Gasser G E, et al.Toward a national early warning system for forest disturbances using remotely sensed canopy phenology[J]. Pe & Rs Photogrammetric Engineering & Remote Sensing, 2009,75(10):1150-1156. doi: 10.1016/j.palaeo.2009.07.019
[28]	[Wu D Q, Liu J, Wang W, et al. Mutiscale analysis of vegetation index and topographic variables in the Yellow River Delta of China[J]. Chinese Journal of Plant Ecology, 2009,33(2):237-245. ] doi: 10.3773/j.issn.1005-264x.2009.02.001
[29]	武永峰,王秀芬,李茂松,等.气候驱动格局下中国陆地植被指数变化[J].干旱区地理,2009,32(2):166-174.
[7]	朱鸿伟. 森林生态系统的抗冰冻灾害能力研究[D].长沙:中南林业科技大学,2011.
	[Zhu H W.The research of the anti freeze disaster ability of forest ecosystem[D]. Changsha: Central South University of Forestry & Technology, 2011. ]
[29]	[Wu Y F, Wang X F, Li M S, et al.NDVI changes under the spatial patterns driven by climate factors in China[J]. Arid Land Geography, 2009,32(2):166-174. ]
[30]	张仁华,饶农新,廖国男.植被指数的抗大气影响探讨[J].植物学报,1996,38(1):53-62.
[8]	Petty J A, Worrell R.Stability of coniferous tree stems in relation to damage by snow[J]. Forestry, 1981,54(2):115-28. doi: 10.1093/forestry/54.2.115
[9]	侍昊,王笑,薛建辉,等.基于MODIS/NDVI时间序列的森林灾害快速评估方法——以贵州省为例[J].生态学报,2012,32(11):3359-3367. doi: 10.5846/stxb201105170644
[30]	[Zhang R H, Rao N X, Liao G N.Approach for a vegetation index resistant to atmospheric effect[J]. Acta Botanica Sinica, 1996,38(1):166-174. ]
[31]	柏宁尔,廖志平.衡东县雨雪冰冻灾害状况分析及对策研究[C].森林可持续经营与生态文明学术研讨会, 2008. ]
[9]	[Shi H, Wang X, Xue J H, et al.A rapid assessment method for forest disaster based on MODIS/NDVI time series: A case study from Guizhou Province[J]. Acta Ecological Sinica, 2012,32(11):3359-3367. ] doi: 10.5846/stxb201105170644
[10]	徐新良,苏富岩,庄大方,等.2008年南方冰雪过程对生态环境影响的遥感监测——以湖南省资兴市为例[J].地球信息科学学报,2009,11(2):237-243. doi: 10.3969/j.issn.1560-8999.2009.02.016
[31]	[Bai N E, Liao Z P. Study on analysis and countermeasures of freezing rain disaster in Hengdong County[C]. Sysposium on sustainable forest management and ecological civilization, 2008. ]
[32]	刘兰芳,肖志成,刘沛林,等.中国南方林业冰冻灾情评价及防灾减灾对策——以2008年湖南冰,火为例[J].农业现代化研究,2009,30(2):195-198. doi: 10.3969/j.issn.1000-0275.2009.02.016
[10]	[Xu X L, Su F Y, Zhuang D F, et al.Remote sensing monitoring of impacts of southern ice and snow process on Eco_environment in 2008: A case study in Zixing County, Hunan Province[J]. Geo-Information Science, 2009,11(2):237-243. ] doi: 10.3969/j.issn.1560-8999.2009.02.016
[11]	徐雅,钟仕全,陈燕丽,等.基于GIS和RS的雨雪冰冻灾害分布特征分析[J].气象研究与应用, 2014,35(1):21-24. ] doi: 10.3969/j.issn.1673-8411.2014.01.005
[32]	[Liu L F, Xiao Z C, Liu P L, et al.Assessment about loss caused by frozen disaster prevention and mitigation on forestry: A case study of Hunan Province in 2008[J]. Journal of Natural Resources, 2009,30(2):195-198. ] doi: 10.3969/j.issn.1000-0275.2009.02.016
[33]	江永县林业局冰雪灾害调查组.江永县雨雪冰冻灾害森林资源损失调查评估报告[R].永州:江永县林业局,2008.
[11]	[Xu Y, Zhong S Q, Chen Y L, et al. Analysis on distribution characteristics of ice-snow and frozen disasters based on GIS and RS[J]. Journal of Meteorological Research and Application, 2014,35(1):21-24. ] doi: 10.3969/j.issn.1673-8411.2014.01.005
[12]	曹坤芳,常杰.突发气象灾害的生态效应:2008年中国南方特大冰雪灾害对森林生态系统的破坏[J].植物生态学报,2010,34(2):123-124. doi: 10.3773/j.issn.1005-264x.2010.02.002
[33]	[Ice-snow disaster investigation team, Jiangyong County Forestry Bureau. Assessment report on the loss of forest resources in the ice-snow disaster in Jiangyong County[R]. Yongzhou: Jiangyong County, 2008. ]
[34]	道县林业局冰雪灾害调查组.道县雨雪冰冻灾害森林资源损失调查评估报告[R].永州市:道县林业局,2008.
	[Ice-snow disaster investigation team, Daoxian County Forestry Bureau. Assessment report on the loss of forest resources in the ice-snow disaster in Daoxian County[R]. Yongzhou: Daoxian County, 2008. ]
[12]	[Cao K F, Chang J.The ecological effects of an unusual climatic disaster: The destruction to forest ecosystems by the extremely heavy glaze and snow storms occurred in early 2008 in southern China[J]. Chinese Journal of Plant Ecology, 2010,34(2):123-124. ] doi: 10.3773/j.issn.1005-264x.2010.02.002
[13]	陈鹭真,王文卿,张宜辉,等. 2008年南方低温对我国红树植物的破坏作用[J].植被生态学报,2010,34(2):186-194. doi: 10.3773/j.issn.1005-264x.2010.02.010
[35]	新田县林业局冰雪灾害调查组.新田县雨雪冰冻灾害森林资源损失调查评估报告[R].永州市:新田县林业局,2008.
	[Ice-snow disaster investigation team, Xintian County Forestry Bureau. Assessment report on the loss of forest resources in the ice-snow disaster in Xintian County[R]. Yongzhou: Xintian County, 2008. ]
[13]	[Chen L Z, Wang W Q, Zhang Y H, et al.Damage to Mangroves from extreme cold in early 2008 in southern China[J]. Chinese Journal of Plant Ecology, 2010,34(2):186-194. ] doi: 10.3773/j.issn.1005-264x.2010.02.010
[14]	何茜,李吉跃,陈晓阳,等.2008年初特大冰雪灾害对粤北地区杉木人工林树木损害的类型及程度[J].植物生态学报,2010,34(2):195-203. doi: 10.3773/j.issn.1005-264x.2010.02.011
[36]	彭险峰,何友军.湖南省森林冰雪灾害调查[J].湖南林业科技,2008,35(3):48-50. doi: 10.3969/j.issn.1003-5710.2008.03.018
	[Peng X F, He Y J.Investigation of forest ice-snow disaster in Hunan Province[J]. Hunan Forestry Science&Technology, 2008,35(3):48-50. ] doi: 10.3969/j.issn.1003-5710.2008.03.018
[14]	[He Q, Li J Y, Chen X Y, et al.Types and extent of damage to Cunninghamia lanceolata plantations due to unusually heavy snow and ice in southern China[J]. Chinese Journal of Plant Ecology, 2010,34(2):195-203. ] doi: 10.3773/j.issn.1005-264x.2010.02.011
[15]	王明玉,舒立福,赵凤君,等.中国南方冰雪灾害对森林可燃物影响的数量化分析——以湖南为例[J].林业科学,2008,44(11):69-74. doi: 10.11707/j.1001-7488.20081114
	[Wang M Y, Shu L F, Zhao F J, et al.Quantity analysis of forest fuel under the impacts of snow damage in south of China: A case study in Hunan Province[J]. Scientia Silvae Sinicae, 2008,44(11):69-74. ] doi: 10.11707/j.1001-7488.20081114
[16]	姚峰峰,张时煌,杨医,等.冰冻雨雪灾害对江西林业影响的评估技术探讨[J].自然资源学报,2009,24(9):1657-1666. doi: 10.11849/zrzyxb.2009.09.015
	[Yao F F, Zhang S H, Yang Y, et al. Evaluating the impact of freezing rain and snow disaster on forestry[J]. Journal of Natural Resources, 2009(9):1657-1666. ] doi: 10.11849/zrzyxb.2009.09.015
[17]	朱俊凤,钱峻屏,廖广社等.基于对象方法的南岭山区雨雪冰冻灾害遥感检测与空间分析[J].山地学报,2010,28(4):478-486. doi: 10.3969/j.issn.1008-2786.2010.04.012

	森林受灾面积/万hm²	森林未受灾面积/万hm²	林地面积/万hm²	受灾面积理论值/万hm²	森林受灾率/%	参考资料受灾率/%	变化率N/%
湖南省	415.967	781.997	1197.964	422.881	34.72	35.30	1.64
郴州市	59.049	73.664	132.713	58.924	44.49	44.40	0.21
衡阳市	30.556	40.634	71.190	42.429	42.92	59.60	27.98
衡东县	4.280	6.385	10.666	7.707	40.13	72.26	44.46
浏阳市	9.924	26.381	36.305	8.568	27.33	23.60	15.83
江永县	6.205	3.036	9.241	5.160	67.15	55.84	20.25
道县	7.155	6.523	13.679	8.358	52.31	61.10	14.39
新田县	1.513	2.770	4.283	2.743	35.32	64.05	44.86

	森林受灾面积/万hm²	森林未受灾面积/万hm²	林地面积/万hm²	受灾面积理论值/万hm²	森林受灾率/%	参考资料受灾率/%	变化率N/%
湖南省	373.206	701.739	1074.945	379.456	34.72	35.30	1.65
郴州市	46.444	73.902	120.345	53.43	38.59	44.40	13.08
衡阳市	34.238	33.351	67.589	40.283	50.66	59.60	15.01
衡东县	3.431	6.996	10.427	7.535	32.90	72.26	54.46
浏阳市	20.491	14.115	34.606	8.167	59.21	23.60	150.90
江永县	3.602	4.968	8.570	4.785	42.03	55.84	24.73
道县	3.461	8.906	12.367	7.556	27.99	61.10	54.19
新田县	0.996	1.921	2.917	1.868	34.14	64.05	46.70

	湖南省	郴州市	衡阳市	衡东县	浏阳市	江永县	道县	新田县
林地面积（新）	1197.97	132.713	71.190	10.666	36.305	9.241	13.679	4.283
林地面积（旧）	1074.95	120.345	67.589	10.427	34.606	8.570	12.367	2.917

基于NDVI阈值法的森林冰冻受灾范围精确提取

Precise Extraction of Damaged Forest Range Caused by Ice-snow Frozen Disaster Based on the NDVI Threshold Method

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