基于地面实测高光谱数据的三江源中东部草地植被光谱特征研究

doi:10.11873/j.issn.1004-0323.2014.2.0202

遥感技术与应用

2014, Vol. 29

Issue (2): 202-211 DOI: 10.11873/j.issn.1004-0323.2014.2.0202

模型与反演

基于地面实测高光谱数据的三江源中东部草地植被光谱特征研究

安如,姜丹萍,李晓雪,王喆,Jonathan Arthur Quaye-Ballard

(河海大学地球科学与工程学院地理系,江苏南京 210098)

Using Hyperspectral Data to Determine Spectral Characteristics of Grassland Vegetation in Central and Eastern Parts of Three-river Source

An Ru,Jiang Danping,Li Xiaoxue,Wang Zhe,Jonathan Arthur Quaye-Ballard

(School of Earth Science and Engineering,Hehai University,Nanjing 210098,China)

全文: PDF(4667 KB)

摘要：

草地不仅是畜牧业的生产基地,而且是生态安全屏障保护和牧民生活与草原文化传承的基础,具有生态、生产和生活功能。然而,草地日益退化导致的生态经济问题越来越突出。因此,实时、准确地监测草地的退化具有重要意义。根据所测定的各种地面植被的光谱数据,分析了三江源中东部典型草原区常见草种的光谱特性;利用一阶微分法、连续统去除法和归一化微分比的方法对草地植被光谱反射曲线进行了处理,提取了典型草地植被的光谱特征;通过光谱分析法能准确识别藏嵩草和小嵩草优势种,取得了较好的精度。为高光谱遥感草地监测提供了有力依据。

关键词： 高光谱; 草种识别; 光谱特征; 三江源

Abstract:

Grasslands not only support animal production,but also play an important role as an ecological safety barrier and they maintain herders’ livelihood as well as inherited culture.However,a series of ecological problems are becoming more and more serious because of increasing grassland degradation.Monitoring the ecological status of grassland in real-time and accurately is important.The spectral characteristics of the common grasses in central and eastern part of the Three River Source were analyzed by measuring spectral data of various plants.The spectral reflectance curve of grassland vegetation was processed by methods of first\|order differential,continuum removing and normalized differential ratio to extract the spectral characteristics of typical grassland vegetation.Dominant species of Kobresia tibetica and Kobresia parva were identified with high precision through spectral analysis,which provides the strong basis of applying hyperspectral remote sensing in grassland monitoring.

Key words: Hyperspectral Grass species recognition Spectral characteristics Central and Eastern parts of Three-river Source 

收稿日期: 2013-01-14 出版日期: 2014-05-14

TP 79

基金资助:

国家自然科学基金“基于新生态系统功能指数的三江源区大面积草地退化遥感动态监测方法研究”(41271361),973 计划项目“国家尺度生态系统服务功能变化及综合评价”( 2009CB421105),“十一五”国家科技支撑计划项目“国家生态恢复重建的综合监测评估关键技术研究”(2006BAC08B00) 。

通讯作者: 姜丹萍(1988-),女,江苏镇江人,硕士研究生,主要从事高光谱遥感研究。 Email:jiang-danping@163.com。

作者简介: 安如(1963-),女,江苏淮安人,教授,主要从事遥感、地理信息系统理论与方法研究。 Email:anrunj@163.com。

	服务
	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	安如
	姜丹萍
	李晓雪
	王喆
	Jonathan Arthur Quaye-Ballard

引用本文:

安如,姜丹萍,李晓雪,王喆,Jonathan Arthur Quaye-Ballard . 基于地面实测高光谱数据的三江源中东部草地植被光谱特征研究[J]. 遥感技术与应用, 2014, 29(2): 202-211.

An Ru,Jiang Danping,Li Xiaoxue,Wang Zhe,Jonathan Arthur Quaye-Ballard. Using Hyperspectral Data to Determine Spectral Characteristics of Grassland Vegetation in Central and Eastern Parts of Three-river Source. Remote Sensing Technology and Application, 2014, 29(2): 202-211.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2014.2.0202 或 http://www.rsta.ac.cn/CN/Y2014/V29/I2/202

［1］Hunt E R,Everitt J H,Ritchie J C,et al.Applications and Research Using Remote Sensing for Rangeland Management［J］.Photogrammetric Engineering and Remote Sensing,2003,69(6):675-694.

［2］Zhang Fengli,Yin Qiu,Kuang Dingbo,et al.Analysis of Time Series Spectrum Feature Parameters Derived from Dominant Natural Grasslands in the Region around Qinghai Lake［J］.Acta Ecologica Sinica,2005,25(12):3154-3160.［张风丽,尹球,匡定波,等.环青海湖地区天然草地时序光谱特征参量分析［J］.生态学报,2005,25(12):3154-3160.］

［3］Long Ruijun,Mou Xindai,Chen Gong.An Analysis of Relationship between the Spectral Reflectance and the Herbage Growing on Alpine Meadow Grassland［J］.Pratacultural Science,1994,11(1):53-55.［龙瑞军,牟新待,陈功.高山草地的反射光谱与牧草长势的相关分析［J］.草业科学,1994,11(1):53-55.］

［4］Huang Jingfeng,Wang Xiuzhen.The Characteristics of Natural Grassland Spectral Vegetation Indices in Eastern and Middle Part of Northern Tianshan Mountain［J］.Journal of Mountain Science,1999,17(2):119-124.［黄敬峰,王秀珍.天山北坡中东段天然草地光谱植被指数特征［J］.山地学报,1999,17(2):119-124.］

［5］Wang Yanrong.The Influence of Different Grazing Intensity on the Near-ground Spectral Reflectance of Leymus Chinsesis Steppe［J］.Grassland of China,2001,23(2):1-6.［王艳荣.不同放牧强度对羊草草原近地面反射波谱特征的影响研究［J］.中国草地,2001,23(2):1-6.］

［6］Qian Jinbo,Ma Mingguo.A Review of Poisonous Weeds Detection Using Remote Sensing Technology［J］.Remote Sensing Technology and Application,2009,24(5):685-690.［钱金波,马明国.遥感技术在毒草识别中的研究进展［J］.遥感技术与应用,2009,24(5):685-690.］

［7］Mcgwire K,Minor T,Fenstermaker L.Hyperspectral Mixture Modeling for Quantifying Sparse Vegetation Cover in Arid Environments［J］.Remote Sensing of Environment,2000,72(3):360-374.

［8］Schmidt K S,Skidmore A K.Spectral Discrimination of Vegetation Types in a Coastal Wetland［J］.Remote Sensing of Environment,2003,85(1):92-108.

［9］Mansour K,Mutanga O,Everson T,et al.Discriminating Indicator Grass Species for Rangeland Degradation Assessment Using Hyperspectral Data Resampled to AISA Eagle Resolution［J］.ISPRS Journal of Photogrammetry and Remote Sensing,2012,70:56-65.

［10］Adam E,Mutanga O.Spectral Discrimination of Papyrus Vegetation (Cyperus Papyrus L.) in Swamp Wetlands Using Field Spectrometry［J］.ISPRS Journal of Photogrammetry and Remote Sensing,2009,64(6):612-620.

［11］Wang Huanjiong,Fan Wenjie,Cui Yaokui,et al.Hyperspectral Remote Sensing Monitoring of Grassland Degration［J］.Spectroscopy and Spectral Analysis,2011,30(10):2734-2738.［王焕炯,范闻捷,崔要奎,等.草地退化的高光谱遥感监测方法［J］.光谱学与光谱分析,2011,30(10):2734-2738.］

［12］Gai Yingying,Fan Wenjie,Xu Xiru,et al.Flower Species Id-entification and Coverage Estimation based on Hyperspectral Remote Sensing Data in Hulunbeier Grassland［J］.Spectroscopy and Spectral Analysis,2011,31(10):2778-2783.［盖颖颖,范闻捷,徐希孺,等.基于高光谱数据的呼伦贝尔草原花期物种识别和覆盖度估算［J］.光谱学与光谱分析,2011,31(10):2778-2783.］

［13］Liu Zhanyu,Huang Jingfeng,Wu Xinhong,et al.Hyperspectral Remote Sensing Estimation Models on Vegetation Coverage of Natural Grassland［J］.Chinese Journal of Applied Ecology,2006,17(6):997-1002.［刘占宇,黄敬峰,吴新宏,等.天然草地植被覆盖度的高光谱遥感估算模型［J］.应用生态学报,2006,17(6):997-1002.］

［14］Li Xilai,Huang Baoning.The Cause of "Black Soil Path" Grassland in Qinghai Province and Management Countermeasures［J］.Grassland of China,1995,(4):64-67.［李希来,黄葆宁.青海黑土滩草地成因及治理途径［J］.中国草地,1995,(4):64-67.］

［15］Wang Baoshan,Ga Majia,Zhang Yu.Study on the Forming Mechanism of “Black Beach” Degraded Alpine Meadow on Qinghai-Tibetan Plateau and the Research Progress on its Restoration［J］.Grass and Turf,2007,(2):72-77.［王宝山,尕玛加,张玉.青藏高原 “黑土滩” 退化高寒草甸草原的形成机制和治理方法的研究进展［J］.草原与草坪,2007,(2):72-77.］

［16］Liu Xiaoling.The Investigation for Degenerate Grassland of "Degenerated Meadow" in San Jiang Yuan Nature Reserve［J］.Journal of Qinhai Normal University(Natural Science),2007,(1):93-96.［刘晓玲.三江源自然保护区“黑土滩”退化草地调查［J］.青海师范大学学报(自然科学版),2007,(1):93-96.］

［17］Vidal M,Amigo J M.Pre-processing of Hyperspectral Images.Essential Steps before Image Analysis［J］.Chemometrics and Intelligent Laboratory Systems,2012(117):138-148.

［18］Cochrane M A.Using Vegetation Reflectance Variability for Species Level Classification of Hyperspectral Data［J］.International Journal of Remote Sensing,2000,21(10):2075-2087.

［19］Han Lihui,Shang Zhanhuan,Ren Guohua,et al.The Response of Plants and Soil Patch of the Qinghai-Tibetan Platean to Variation of Bare-patch Areas［J］.Acta Prataculturae Sinica,2011,20(1):1-6.［韩立辉,尚占环,任国华,等.青藏高原“黑土滩”退化草地植物和土壤对秃斑面积变化的响应［J］.草业学报,2011,20(1):1-6.］

［20］Lin Chuan,Gong Zhaolin,Zhao Wenji.Hyperspectral Estimation Models for Plant Community Water Content at Both Leaf and Canopy Levels in Wild Duck Lake Wetland［J］.Acta Ecologica Sinica,2011,31(22):6645-6658.［林川,宫兆宁,赵文吉.叶冠尺度野鸭湖湿地植物群落含水量的高光谱估算模型［J］.生态学报,2011,31(22):6645-6658.］

［21］Tong QingXi,Zhang Bing,Zheng Lanfen.Hyperspectral Remote Sensing:Principle,Technology and Application［M］.Beijing:Higher Education Press,2006.［童庆禧,张兵,郑兰芬.高光谱遥感-原理、技术与应用［M］.北京:高等教育出版社,2006.］

［22］Rodger A,Laukamp C,Haest M,et al.A Simple Quadratic Method of Absorption Feature Wavelength Estimation in Continuum Removed Spectra［J］.Remote Sensing of Environment,2012(118):273-283.

［23］Zou Wentao,Zhang Tao,Hao Fei,et al.Research on the Spectral Characteristic of Typical Steppe in Xilinguole Country Inner Mongolia［J］.Journal of Inner Mongolia Agricultural University(Natural Science),2008,29(1):61-64.［邹文涛,张韬,郝飞,等.锡林郭勒盟典型草原区植被光谱特征研究［J］.内蒙古农业大学学报(自然科学版),2008,29(1):61-64.］

［24］Pu Ruiliang,Gong Peng.Hyperspectral Remote Sensing and Application［M］.Beijing:Higher Education Press,2000.［浦瑞良,宮鹏.高光谱遥感及其应用［M］.北京:高等敎育出版社,2000.］

[1]	韩涛，潘剑君，张培育，曹罗丹. Sentinel-2A与Landsat-8影像在油菜识别中的差异性研究[J]. 遥感技术与应用, 2018, 33(5): 890-899.
[2]	高莎，林峻，马涛，吴建国，郑江华. 新疆巴音布鲁克草原马先蒿光谱特征提取与分析[J]. 遥感技术与应用, 2018, 33(5): 908-914.
[3]	陈伟民，张凌，宋冬梅，王斌，丁亚雄，许明明，崔建勇. 基于AdaBoost改进随机森林的高光谱图像地物分类方法研究[J]. 遥感技术与应用, 2018, 33(4): 612-620.
[4]	苏阳，祁元,王建华，徐菲楠，张金龙. 基于航空高光谱影像的额济纳绿洲土地覆被提取[J]. 遥感技术与应用, 2018, 33(2): 202-211.
[5]	秦振涛，杨茹，张靖，杨武年. 基于聚类结构自适应稀疏表示的高光谱遥感图像修复研究[J]. 遥感技术与应用, 2018, 33(2): 212-215.
[6]	郭宇柏，卓莉，陶海燕，曹晶晶，王芳. 基于空谱初始化的非负矩阵光谱混合像元盲分解[J]. 遥感技术与应用, 2018, 33(2): 216-226.
[7]	刘爱林，郭宝平，李岩山 . 基于离散粒子群算法的凸多模态高光谱图像端元提取研究[J]. 遥感技术与应用, 2018, 33(2): 227-232.
[8]	吴兴，张霞，孙雪剑，张立福，戚文超. SPARK卫星高光谱数据辐射质量评价[J]. 遥感技术与应用, 2018, 33(2): 233-240.
[9]	宋婷婷，付秀丽，陈玉，魏永明，王钦军，程先锋. 云南个旧矿区土壤锌污染遥感反演研究[J]. 遥感技术与应用, 2018, 33(1): 88-95.
[10]	刘慧珺，苏红军，赵-波. 基于改进萤火虫算法的高光谱遥感多特征优化方法[J]. 遥感技术与应用, 2018, 33(1): 110-118.
[11]	李伟娜，韦玮，张怀清，刘华. 基于多角度高光谱数据的高寒沼泽湿地植被生物量估算[J]. 遥感技术与应用, 2017, 32(5): 809-817.
[12]	肖昊，王杰. 基于IDL和MATLAB混合编程的两种光谱混合分析方法比较[J]. 遥感技术与应用, 2017, 32(5): 858-865.
[13]	唐超,邵龙义. 高光谱遥感地物目标识别算法及其在岩性特征提取中的应用[J]. 遥感技术与应用, 2017, 32(4): 691-697.
[14]	李恒凯，欧彬，刘雨婷，邱玉宝. 基于混合像元分解的高光谱影像柑橘识别方法[J]. 遥感技术与应用, 2017, 32(4): 743-750.
[15]	苏红军，赵波. 基于共形几何代数的高光谱遥感波段选择方法[J]. 遥感技术与应用, 2017, 32(3): 539-545.

Viewed

Full text

Abstract

Cited

Shared

Discussed