极化雷达与光学遥感森林雪灾破坏协同监测

徐茂松,李坤,谢酬,朱松,罗洪章,张风丽,王雪军,夏忠胜,党永峰

南京林业大学学报(自然科学版) ›› 2014, Vol. 38 ›› Issue (04) : 1-6.

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南京林业大学学报(自然科学版) ›› 2014, Vol. 38 ›› Issue (04) : 1-6. DOI: 10.3969/j.issn.1000-2006.2014.04.001
专题报道

极化雷达与光学遥感森林雪灾破坏协同监测

  • 徐茂松1, 李 坤2*, 谢 酬2, 朱 松3, 罗洪章3, 张风丽2, 王雪军1, 夏忠胜3,党永峰1
作者信息 +

Synergistically monitoring the snowstorm damaged forest with polarimetric SAR and optical remote sensing data

  • XU Maosong1, LI Kun2*, XIE Chou2, ZHU Song3, LUO Hongzhang3, ZHANG Fengli2, WANG Xuejun1, XIA Zhongsheng3, DANG Yongfeng1
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摘要

以贵州省扎佐林场为例,利用全极化雷达与光学遥感数据进行森林雪灾破坏状况协同监测,分析了倒伏森林与健康森林的后向散射特性及其差异,重点分析了倒伏森林与健康森林的极化响应特征、散射机制及其差异。基于雪灾破坏前后森林的散射机制变化,利用Freeman-Durden分解方法对倒伏森林进行了识别。为了进一步优化识别效果,引入了高分辨率光学数据,采用优选的融合方法, 将雷达与光学遥感数据融合,得到了较好的倒伏森林识别效果。研究结果表明,利用雷达与光学遥感数据协同监测森林雪灾破坏是可行的,而全极化雷达遥感数据在森林类型识别和森林破坏监测方面具有独特的优势,在我国西南地区的森林资源调查和灾害监测中具有广阔的应用前景。

Abstract

In this study, polarimetric SAR and optical remote sensing data were synergized to monitor snowstorm damaged forests in Zhazuo Forest Farm, Guizhou province, southwest of China. The backscatter coefficients of the snowstorm damaged forests, healthy forests and their difference were analyzed. In order to fully explore the potentiality of polarimetric SAR data, the polarimetric signature and scattering mechanism were investigated for both snowstorm damaged forests and healthy forests. Then, Freeman-Durden polarimetric decomposition was applied for the identification of snowstorm damaged forest based on the change of their scattering behaviors caused by snowstorm destruction. In order to further improve the results of snowstorm damaged forests identification, high-resolution optical data was introduced to synergize with polarimetric SAR data. The results showed that it was feasible using polarimetric SAR and optical remote sensing data to synergistically monitor the snowstorm damaged forests. Most notably, fully polarimetric SAR data had remarkable advantages in forest type identification and deforestation monitoring and was very promising for the survey of forest resources and disaster monitoring in southwestern of China.

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徐茂松,李坤,谢酬,朱松,罗洪章,张风丽,王雪军,夏忠胜,党永峰. 极化雷达与光学遥感森林雪灾破坏协同监测[J]. 南京林业大学学报(自然科学版). 2014, 38(04): 1-6 https://doi.org/10.3969/j.issn.1000-2006.2014.04.001
XU Maosong, LI Kun, XIE Chou, ZHU Song, LUO Hongzhang, ZHANG Fengli, WANG Xuejun, XIA Zhongsheng, DANG Yongfeng. Synergistically monitoring the snowstorm damaged forest with polarimetric SAR and optical remote sensing data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2014, 38(04): 1-6 https://doi.org/10.3969/j.issn.1000-2006.2014.04.001
中图分类号: S757    TP79   

参考文献

[1] 国家林业局.南方雨雪冰冻灾害地区林业科技救灾减灾技术要点[J].湖南林业,2008(3):16-24.
[2] 国家统计局.各地区自然灾害损失情况(2008年):续表2 [DB/OL].(2012-10-15).http:www.stats.gov.cn/tjsj/qtsj/hjtjzl/hjtjsj2008/t20100617_402650552.htm.
[3] 程鹏,张金鹏.2008年重大冰雪灾害对安徽森林的影响与反思[J].南京林业大学学报:自然科学版,2008,32(3):1-4.Cheng P,Zhang J P.Analysis on the influence of ice-snow calamity on forest and reflection to the theory of forest management in Anhui province[J]. Journal of Nanjing Forestry University:Natural Sciences Edition,2008,32(3):1-4.
[4] Shao Q Q,Huang L,Liu J Y,et al.Analysis of forest damage caused by the snow and ice chaos along a transect across southern China in spring 2008[J].Journal of Geographical Science,2011,21(2):219-234.
[5] 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. 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.
[6] 吴炳方,李强子,迟耀斌,等. 2008年1-2月雪灾作物灾情遥感监测方法[J].中国工程科学,2008,10(6):63-69.Wu B F, Li Q Z, Chi Y B,et al.Crop damage monitoring using remote sensing in January and February in south China in 2008[J]. Engineering Sciences,2008,10(6):63-69.
[7] 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.Xu X L,Su F Y,Zhuang D F,et al.Remote sensing monitoring of impacts of Southern ice and snow process on eco-envionment in 2008:a case study in Zixing County,Hunan Province[J].Journal of Geo-information Science,2009,11(2):237-243.
[8] 梁益同,夏智宏,柳晶辉,等.基于RS和GIS的2008年长江中下游雪灾监测——以湖北省为例[J].长江流域资源与环境,2009,18(9):881-884.Liang Y T,Xia Z H,Liu J H,et al.Snow disaster monitoring in 2008 in the middle and lower reaches of the Yangtze River based on RS and GIS—a case study of Hunbei Province[J].Resources and Environment in the Yangtze Basin,2009,18(9):881-884.
[9] 沈斌,房世波,高西宁,等.基于MODIS的雪情监测及其对农业的影响评估[J].中国农业气象,2011,32(1):129-133.Shen B,Fang S B,Gao X N,et al.Monitoring and assessment to snow and its impacts on a agriculture based on MODIS[J].Chinese Journal of Agrometerorology,2011,32(1):129-133.
[10] Chen J,Sun L Q.Using MODIS EVI to detect vegetation damage caused by the 2008 ice and snow storms in south China[J].Journal of Geophysical Research:Biogeosciences(2005-2012),2010,115(G3):12.
[11] Jalkanen A,Mattila U. Logistic regression models for wind and snow damage in northern Finland based on the National Forest Inventory data[J]. Forest Ecology and Management,2000,135(1):315-330.
[12] Peltola H, Kellomaki S, Vaisanen H,et al. A mechanistic model for assessing the risk of wind and snow damage to single trees and stands of Scots pine, Norway spruce, and birch[J].Canadian Journal of Forest Research,1999,29(6):647-661.
[13] Moghaddam M,Dungan J L,Acker S.Forest variable estimation from fusion of SAR and multispectral optical data[J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(10):2176-2187.
[14] Huang H,Legarsky J,Othman M.Land-cover classification using Radarsat and Landsat imagery for St. Louis, Missouri[J].Photogrammetric Engineering and Remote Sensing,2007,73(1):37-43.
[15] Stramondo S,Bignami C,Chini M,et al.Satellite radar and optical remote sensing for earthquake damage detection: results from different case studies[J]. International Journal of Remote Sensing,2006,27(20):4433-4447.
[16] Ban Y F,Hu H T,Rangel I M.Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach[J]. International Journal of Remote Sensing,2010,31(6):1391-1410.
[17] Rahman M M, Sumantyo J T S,Sadek M F. Microwave and optical image fusion for surface and sub-surface feature mapping in eastern Sahara[J]. International Journal of Remote Sensing, 2010, 31(20): 5465-5480.
[18] 陈桂红,唐伶俐,戴昌达,等.洪涝灾情快速反应的星载SAR与TM数据的融合处理[J].地球信息科学,2003(1):103-108. Chen G H,Tang L L,Dai C D,et al.On quick response to flood with fusion of SAR and TM data[J].Geo-information Science,2003(1):103-108.
[19] 陈伟利,陶和平,刘斌涛.基于SVM的多光谱影像与SAR图像融合地物分类研究[J].安徽农业科学,2010,38(20):10662-10664.Chen W L,Tao H P,Liu B T. Classification of terrain surfaces using fused images of multi spectral and SAR image based on support vector machine[J].Journal of Anhui Agriculture Science,2010,38(20):10662-10664.
[20] Xu M S,Zhang F L,Xia Z S,et al.Polarimetric SAR data for forest and deforestation mapping in Guizhou province,southwest of China[C]//Proceedings of 2008 IEEE International Geoscience & Remote Sensing Symposium.Boston:IEEE International,2008.
[21] Xu M S,Zhang F L,Xia Z S, et al.Forest type discrimination using polarimetric RADARSAT-2 data[C]//Proceedings of 2009 IEEE International Geoscience & Remote Sensing Symposium.Cape Town:IEEE International,2009.
[22] 谢酬,万紫,徐茂松,等.多时相全极化SAR数据融合方法与土地覆盖分类研究[J].国土资源遥感,2010,3(3):120-124.Xie C,Wan Z,Xu M S, et al.Multitemporal polarimetric SAR data fusion for land cover mapping[J].Remote Sensing for Land & Resources,2010,3(3):120-124.
[23] 徐茂松,张风丽,夏忠胜,等.植被雷达遥感方法与应用[M].北京:科学出版社,2012.
[24] Freeman A,Durden S L.A three-component scattering model for polarimetric SAR data[J].IEEE Transactions on Geoscience and Remote Sensing,1998,36(3):963-973.
[25] Cloude S R,Pottier E.A review of target deomposition theorem in radar polarimetry[J]. IEEE Transaction Geoscience and Remote Sensing,1996,34(2):498-518.
[26] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003.
[27] 陈尔学.合成孔径雷达森林生物量估测研究进展[J].世界林业研究,1999,12(6):18-23.Chen E X.Development of forest biomass estimation using SAR data[J].World Forestry Research,1999,12(6):18-23.

基金

收稿日期:2013-05-10 修回日期:2013-11-20
基金项目:中国科学院知识创新工程重要方向项目(KZCX2-EW-320); 国家高技术研究发展计划(2007AA12Z146); 贵州省省长基金项目([2008]82)
第一作者:徐茂松,高级工程师,硕士。*通信作者:李坤,助理研究员,博士。E-mail: kunli@irsa.ac.cn。
引文格式:徐茂松, 李坤, 谢酬,等. 极化雷达与光学遥感森林雪灾破坏协同监测[J]. 南京林业大学学报:自然科学版,2014,38(4):1-6.

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