中国西南山区GEOV１、GLASS和MODISLAI产品的对比分析

doi:10.11873/j.issn.1004-0323.2016.3.0438

遥感技术与应用

2016, Vol. 31

Issue (3): 438-450 DOI: 10.11873/j.issn.1004-0323.2016.3.0438

山地遥感专栏

中国西南山区GEOV１、GLASS和MODISLAI产品的对比分析

杨勇帅^１,２,李爱农^１,靳华安^１,尹高飞^１,赵伟^１,雷光斌^１,２,边金虎^１,２

(１．中国科学院水利部成都山地灾害与环境研究所,四川成都　６１００４１;
２．中国科学院大学,北京　１０００４９)

Intercomparison Among GEOV1,GLASS and MODIS LAI Products over Mountainous Area in Southwestern China

Yang Yongshuai^1,2,Li Ainong¹,Jin Hua an¹,Yin Gaofei¹,Zhao Wei¹,Lei Guangbin^1,2,Bian Jinhu^1,2

(1.Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)

全文: PDF(18098 KB)

摘要：

叶面积指数(LeafAreaIndex,LAI)是表征植被生物物理变化和冠层结构特征的关键参数,目前存在多个全球范围、长时间序列LAI产品,对其进行验证是LAI产品应用的重要前提,然而目前山区的验证工作尤其少见.在我国西南山区选取６个典型样区,考虑山区复杂地形特征,从产品时空完整性以及对山区植被时空特征表征能力等方面对GEOV１、GLASS和MODISLAI产品进行对比分析.研究结果表明:①相比于地形平坦地区,在山区随海拔和地形起伏度的增加,LAI产品时空完整性呈递减的趋势,其中,GEOV１LAI表现最差,MODISLAI次之,GLASSLAI表现最好;②GLASSLAI和GEOV１LAI的空间分布合理且具有较好的一致性,MODISLAI的空间分布和二者存在差异,３种LAI产品均难以准确反映山区植被垂直带谱的变化特征;③草地类型LAI产品间差值较小,林地和农作物GLASSLAI和GEOV１LAI产品一致性较好,MODISLAI产品和二者存在较大的差异;④GLASSLAI时间序列曲线平滑且连续,GEOV１LAI存在时间不连续现象,MODISLAI季相变化中的波动现象比较严重;各产品不仅难以准确反映冬季的常绿针叶林LAI,而且难以准确表征样区内农田作物轮作的物候信息.对比分析有助于发现LAI产品在山区存在的问题,并为今后LAI产品的算法改进提供帮助和参考.

关键词： 叶面积指数产品; 山区; 时空特征; 交叉验证

Abstract:

Leaf Area Index(LAI) is a key biophysical variable for describing the canopy architecture.Currently,several global scale and long term LAI data sets have been produced.Validation of the LAI products is critical for their proper use in land surface models.However,existing studies were limited over flat terrain,the performance of the LAI data sets in mountainous area is still unknown.To fill this gap,the GEOV1,GLASS and MODIS LAI products were indirectly validated over mountainous area,southwestern China.The validation was conducted through the evaluation of the spatio\|temporal continuity and the capability to capture phonological characteristics.The results indicate that LAI products shows worse spatio\|temporal continuity in mountainous area than that in flat area.The best continuity is achieved by GLASS in our study areas and the worst is from GEOV1.GEOV1 and GLASS LAI product shows good spatial consistency,but MODIS is different from them.All products can hardly capture the details of the altitudinal distribution of biome types.The difference between the three products can be neglected over grassland but obvious over forests and cropland.GLASS LAI time series are smooth and continuous.GEOV1 LAI time series have lots of gaps and MODIS LAI time series are very shaky.All three LAI products display unreasonable seasonality for evergreen needleleaf forests and crops.This study may facilitate the improvement of the quality of LAI product over mountainous areas.

Key words: LAI products Mountainous area Temporal and spatial characteration Intercomparison

出版日期: 2016-07-19

TP７５　

基金资助:

国家自然科学基金项目(４１２７１４３３、４１５７１３７３、４１３０１３８５),中国科学院国际合作局对外合作重点项目(GJHZ２０１３２０),中国科学
院创新团队国际合作伙伴计划资助项目(KZZDＧEWＧTZＧ０６).

通讯作者: 李爱农(１９７４－),男,安徽庐江人,研究员,中国科学院“百人计划”、四川省“千人计划”入选者,主要从事山地定量遥感及其应用研究.EＧmail:ainongli＠imde．ac．cn.

作者简介: 杨勇帅(１９９０－),男,山东菏泽人,硕士研究生,主要从事叶面积指数遥感产品的验证研究.EＧmail:yyshower＠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
	杨勇帅
	李爱农
	靳华安
	尹高飞
	赵伟
	雷光斌
	边金虎

引用本文:

杨勇帅,李爱农,靳华安,尹高飞,赵伟,雷光斌,边金虎. 中国西南山区GEOV１、GLASS和MODISLAI产品的对比分析[J]. 遥感技术与应用, 2016, 31(3): 438-450.

Yang Yongshuai,Li Ainong,Jin Hua an,Yin Gaofei,Zhao Wei,Lei Guangbin,Bian Jinhu. Intercomparison Among GEOV1,GLASS and MODIS LAI Products over Mountainous Area in Southwestern China. Remote Sensing Technology and Application, 2016, 31(3): 438-450.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.3.0438 或 http://www.rsta.ac.cn/CN/Y2016/V31/I3/438

［1］Chen J M,Black T A.Defining Leaf Area Index for Non-flat Leaves［J］.Plant,Cell & Environment,1992,15(4):421-429.

［2］Paeth H,Born K,Girmes R,et al.Regional Climate Change in Tropical and Northern Africa due to Greenhouse Forcing and Land Use Changes［J］.Journal of Climate,2009,22(1):114-132.

［3］Myneni R B,Hoffman S,Knyazikhin Y,et al.Global Products of Vegetation Leaf Area and Fraction Absorbed PAR from Year One of MODIS Data［J］.Remote Sensing of Environment,2002,83(1):214-231.

［4］Jia Shuzhen,Ma Mingguo,Yu Wenpin.Validation of the LAI Product in Heihe River Basin［J］.Remote Sensing Technology and Application,2014,29(6):1037-1045.［家淑珍,马明国,于文凭.黑河中游LAI产品的真实性检验研究［J］.遥感技术与应用,2014,29(6):1037-1045.］

［5］Baret F,Hagolle O,Geiger B,et al.LAI,FAPAR and FCover CYCLOPES Global Products Derived from VEGETATION - Part 1:Principles of the Algorithm［J］.Remote Sensing of Environment,2007,110(3):275-286.

［6］Baret F,Weiss M,Lacaze R,et al.GEOV1:LAI and FAPAR Essential Climate Variables and FCOVER Global Time Series Capitalizing over Existing Products.Part1:Principles of Development and Production［J］.Remote Sensing of Environment,2013,137:299-309.

［7］Xiao Z Q,Liang S L,Wang J D,et al.Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product from Time-Series MODIS Surface Reflectance［J］.IEEE Transactions on Geoscience and Remote Sensing,2014,52(1):209-223.

［8］Fang H L,Wei S S,Liang S L.Validation of MODIS and CYCLOPES LAI Products Using Global Field Measurement Data［J］.Remote Sensing of Environment,2012,119:43-54.

［9］Sun Chenxi,Liu Liangyun,Guan Linlin.Validation of the GLASS LAI Products in Xilinhot Grassland［J］.Remote Sensing Technology and Application,2013,28(6):949-954.［孙晨曦,刘良云,关琳琳.内蒙古锡林浩特草原GLASS LAI产品的真实性检验［J］.遥感技术与应用,2013,28(6):949-954.］

［10］Gessner U,Niklaus M,Kuenzer C,et al.Intercomparison of Leaf Area Index Products for a Gradient of Sub-humid to Arid Environments in West Africa［J］.Remote Sensing,2013,5(3):1235-1257.

［11］Fang H L,Jiang C Y,Li W J,et al.Characterization and Intercomparison of Global Moderate Resolution Leaf Area Index (LAI) Products:Analysis of Climatologies and Theoretical Uncertainties［J］.Journal of Geophysical Research-Biogeosciences,2013,118(2):529-548.

［12］Wang Genxu,Deng Wei,Yang Yan,et al.The Advances,Priority and Developing Trend of Alpine Ecology［J］.Journal of Mountain Science,2011,29(2):129-140.［王根绪,邓伟,杨燕,等.山地生态学的研究进展、重点领域与趋势［J］.山地学报,2011,29(2):129-140.］

［13］Wu Xiaodan,Wen Jianguang,Xiao Qing,et al.Advances in Validation Methods for Remote Sensing Products of Land Surface Parameters［J］.Journal of Remote Sensing,2015,19(1):75-92.［吴小丹,闻建光,肖青,等.关键陆表参数遥感产品真实性检验方法研究进展［J］.遥感学报,2015,19(1):75-92.］

［14］Yang W Z,Tan B,Huang D,et al.MODIS Leaf Area Index Products:From Validation to Algorithm Improvement［J］.IEEE Transactions on Geoscience and Remote Sensing,2006,44(7):1885-1898.

［15］Knyazikhin Y,Martonchik J V,Myneni R B,et al.Synergistic Algorithm for Estimating Vegetation Canopy Leaf Area Index and Fraction of Absorbed Photosynthetically Active Radiation from MODIS and MISR Data［J］.Journal of Geophysical Research-Atmospheres,1998,103(D24):32257-32275.

［16］Baret F,Morissette J T,Fernandes R A,et al.Evaluation of the Representativeness of Networks of Sites for the Global Validation and Intercomparison of Land Biophysical Products:Proposition of the CEOS-BELMANIP［J］.IEEE Transactions on Geoscience and Remote Sensing,2006,44(7):1794-1803.

［17］Li A N,Lei G B,Zhang Z J,et al.China Land Cover Monitoring in Mountainous Regions by Remote Sensing Technology—Taking the Southwestern China as a Case［C］//Proceedings of 2014 IEEE Geoscience and Remote Sensing Symposium (IGARSS),Qucbec,QC,Canada,13 - 18 July 2014.

［18］Ge Liwen,Pan Gang,Ren Dezhi,et al,Forest Carbon Storage,Carbon Density,and Their Distribution Characteristics in Linzhi Area of Tibet,China［J］.Chinese Journal of Application Ecology,2013,24(2):319-325.［葛立雯,潘刚,任德智,等.西藏林芝地区森林碳储量、碳密度及其分布［J］.应用生态学报,2013,24(2):319-325.］

［19］Shen Zehao,Liu Zengli,Wu Jie,Altitudinal Pattern of Flora on the Eastern Slope of Mt.Gongga［J］,Biodiversity Science,2004,12(1):89-98.［沈泽昊,刘增力,伍杰.贡嘎山东坡植物区系的垂直分布格局［J］.生物多样性,2004,12(1):89-98.］

［20］Shabanov N V,Huang D,Yang W Z,et al.Analysis and Optimization of the MODIS Leaf Area Index Algorithm Retrievals Over Broadleaf Forests［J］.IEEE Transactions on Geoscience and Remote Sensing,2005,43(8):1855-1865.

［21］Heiskanen J,Rautiainen M,Stenberg P,et al.Seasonal Variation in MODIS LAI for a Boreal Forest Area in Finland［J］.Remote Sensing of Environment,2012,126:104-115.

［22］Yin G F,Li J,Liu Q H,et al.Improving Leaf Area Index Retrieval over Heterogeneous Surface by Integrating Textural and Contextual Information:A Case Study in the Heihe River Basin［J］.IEEE Geoscience and Remote Sensing Letters,2015,12(2):359-363.

［23］Fang H L,Li W J,Myneni R B.The Impact of Potential Land Cover Misclassification on MODIS Leaf Area Index(LAI)Estimation:A Statistical Perspective［J］.Remote Sensing,2013,5(2):830-844.

［24］Wang Y J,Tian Y H,Zhang Y,et al.Investigation of Product Accuracy as a Function of Input and Model Uncertainties:Case Study with SeaWiFS and MODIS LAI/FPAR Algorithm［J］.Remote Sensing of Environment,2001,78(3):299-313.

［25］Gonsamo A,Chen J M.Evaluation of The GLC2000 and NALC2005 Land Cover Products for LAI Retrieval over Canada［J］.Canadian Journal of Remote Sensing,2011,37(3):302-313.

［26］Schaaf C B,Li X W,Strahler A H.Topographic Effects on Bidirectional and Hemispherical Reflectances Calculated with a Geometric-Optical Canopy Model［J］.IEEE Transactions on Geoscience and Remote Sensing,1994,32(6):1186-1193.

［27］Zhu Gaolong,Liu Yibo,Ju Weimin,et al.Evaluation of Topographic Effects on Four Commonly Used Vagetation Indices［J］,Journal of Remote Sensing,2013,17(1):210-234.［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.］

［28］Liao Yubing,Chen Xinfang,Chen Xi,et al.Effect of Topographic Correction on the Estimation of Leaf Area Index based on Landsat TM［J］.Remote Sensing Information,2011,(5):47-51,64.［廖钰冰,陈新芳,陈喜,等.地形校正对叶面积指数遥感估算的影响［J］.遥感信息,2011,(5):47-51,64.］

［29］Li A N,Jiang J G,Bian J H,et al.Combining the Matter Element Model with the Associated Function of Probability Transformation for Multi-source Remote Sensing Data Classification in Mountainous Regions［J］.ISPRS Journal of Photogrammetry and Remote Sensing,2012,67:80-92.

［30］Bian J H,Li A N,Liu Q N,et al.Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation based on Spectral Signature and Spatio-temporal Context［J］.Remote Sensing,2016,8(1):31.doi:10.3390/rs8010031.

［31］Li A N,Wang Q F,Bian J H,et al.An Improved Physics-Based Model for Topographic Correction of Landsat TM Images［J］.Remote Sensing,2015,7(5):6296-6319.

[1]	向怡衡，张明敏，张兰慧，贺缠生，王一博，白晓. 祁连山区不同植被类型上的SMOS遥感土壤水分产品质量评估[J]. 遥感技术与应用, 2017, 32(5): 835-843.
[2]	王濮，邢艳秋，王成，习晓环，骆社周. 机载LiDAR数据提取山区道路方法研究[J]. 遥感技术与应用, 2017, 32(5): 851-857.
[3]	上官冬辉,赵伟,史艳梅. 尼泊尔震后Rasuwa区山地灾害遥感调查[J]. 遥感技术与应用, 2017, 32(1): 78-83.
[4]	赵志强,李爱农,边金虎,郭文静,刘倩楠,赵伟,黄成全. 山区可见光—近红外遥感影像浓密植被暗像元自动识别方法研究[J]. 遥感技术与应用, 2015, 30(1): 58-67.
[5]	王丝丝,于兴修,刘正佳. 沂蒙山区植被NDVI的时空特征及其对水热条件的响应[J]. 遥感技术与应用, 2014, 29(1): 61-68.
[6]	李海星,冯学智,肖鹏峰. 天山典型区卫星雪盖的年内变化特征分析[J]. 遥感技术与应用, 2011, 26(3): 375-382.
[7]	李海星冯学智肖鹏峰. 天山典型区卫星雪盖的年内变化特征分析[J]. 遥感技术与应用, 2011, (3): 0-0.
[8]	王江浩,葛咏. 遥感影像几何校正的GCP残差模拟分析[J]. 遥感技术与应用, 2011, 26(2): 226-232.
[9]	张力,周廷刚,李成范,吴忠芳. 特大型山地城市动态扩展的遥感研究[J]. 遥感技术与应用, 2009, 24(1): 77-81.
[10]	杨英宝, 苏伟忠, 江　南. 南京市热岛效应时空特征的遥感分析[J]. 遥感技术与应用, 2006, 21(6): 488-492.
[11]	刘建军,李春来,刘荣高,邹立星. RS和GIS支持的喀斯特山区公路建设可行性研究[J]. 遥感技术与应用, 2000, 15(2): 136-138.
[12]	李震孙文新曾群柱. 山区地形星载SAR影像的几何纠正[J]. 遥感技术与应用, 1997, 12(4): 1-6.

Viewed

Full text

Abstract

Cited

Shared

Discussed