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遥感技术与应用  2016, Vol. 31 Issue (6): 1201-1208    DOI: 10.11873/j.issn.1004-0323.2016.6.1201
遥感应用     
南方丘陵区植被覆盖度遥感估算与时空变化研究—以福建省永定县为例
吴志杰1,2,何国金2,王猛猛2,傅娇凤1,邹丹1
(1.龙岩学院资源工程学院,福建 龙岩 364012; 2.中国科学院遥感与数字地球研究所,北京 100094)
Estimation of Fractional Vegetation Cover and Its Spatial-temporal Variation in Hilly Area of Southeastern China:Yongding County,Fujian Province
Wu Zhijie1,2,He Guojin2,Wang Mengmeng2,Fu Jiaofeng1,Zou Dan1
(1.College of Resources Engineering,Longyan University,Longyan 364012,China;
2.Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences,Beijing 100094,China)
 全文: PDF(12934 KB)  
摘要:

植被覆盖度是生态环境监测的重要指标,而复杂地形因素影响对山地植被遥感信息准确提取。基于Landsat-8 OLI遥感数据,分别采用像元二分模型和线性混合光谱分解法,在对比分析植被覆盖度的地形敏感性基础上,选择山地植被指数(NDMVI)估算了1992、2002和2014年永定县的植被覆盖度,并分析其变化。结果表明:①基于山地植被指数(NDMVI)的覆盖度估算模型的地形敏感性最弱,更适合于南方丘陵山地的植被覆盖度遥感反演;②永定县总体植被覆盖度较高,平均植被覆盖度达77.99%以上,高覆盖度区占59.73%以上,22年内植被覆盖度经历了先提高再下降的过程;③在空间上,高坎抚、金丰和西部片区的植被覆盖度较低,动态变化较明显。永定县金丰片区植被覆盖度明显提高;而近12年内高坎抚片区因矿业开采活动对生态环境的破坏,植被覆盖度降低幅度大,且变化面积较大。

关键词: 遥感植被覆盖度山地植被指数NDVI永定    
Abstract:

Fractional Vegetation Cover (FVC) is a vital indicator for ecological environment monitoring.However it is quite difficult to obtain the high\|accuracy FVC in the mountainous regions,especially in southeastern China,due to the topographic effects.In this research,a mountainous area in Yongding county Fujian Province was selected as study area,and Landsat\|8 OLI was employed for the FVC retrieval.In order to choose a suitable model for the FVC retrieval in this area,the Dimidiate Pixel Model(DPM) and the Linear Spectral Mixture Analysis(LSMA) were performed to quantitatively evaluate the effects of mountainous topography.Then,the Normalized Difference Mountain Vegetation Index(NDMVI) was selected to calculate the FVCs of Yongding county in 1992,2002 and 2014,respectively.The results show that the model using NDMVI is found to be the less sensitivity in the hilly areas after testing the four models for retrieving FVC,and it is quite suitable for retrieving FVC in southeastern China.What’s more,the average value of FVC in Yongding county is greater than 77.99%,and more than 59.73% of the county are cover with high-density vegetation.Additionally,The FVC increase markedly during the period from 1992 to 2002,and decrease from 2002 to 2014.Some special regions such as Gaokanfu,Jinfeng and the west of Yongding county are cover with relatively low\|density vegetation and change obviously during these years.And the values of FVC are greater than before in Jinfeng region,but the vegetation are seriously damaged by mining in Gaokanfu region and the FVC are quite smaller in last 12 years.

Key words: Remote sensing    Fractional Vegetation Cover(FVC)    NDMVI    NDVI    Yongding
收稿日期: 2015-12-21 出版日期: 2016-12-30
:  TP 79  
基金资助:

福建省自然科学基金项目“闽西矿区地质环境损害遥感监测与评价”(2012D104)资助。

作者简介: 吴志杰(1971-),男,福建漳州人,副教授,主要从事亚热带环境与资源遥感方面的研究。Email:wuzhijiefj@163.com。
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引用本文:

吴志杰,何国金,王猛猛,傅娇凤,邹丹. 南方丘陵区植被覆盖度遥感估算与时空变化研究—以福建省永定县为例[J]. 遥感技术与应用, 2016, 31(6): 1201-1208.

Wu Zhijie,He Guojin,Wang Mengmeng,Fu Jiaofeng,Zou Dan. Estimation of Fractional Vegetation Cover and Its Spatial-temporal Variation in Hilly Area of Southeastern China:Yongding County,Fujian Province. Remote Sensing Technology and Application, 2016, 31(6): 1201-1208.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.6.1201        http://www.rsta.ac.cn/CN/Y2016/V31/I6/1201

[1]Zhang Yunxia,Li Xiaobing,Chen Yunhao.Overview of Field and Multi-scale Remote Sensing Measurement Approaches to Grassland and Vegetation Coverage[J].Advances in Earth Sciences,2003,18(1):85-93.[张云霞,李晓兵,陈云浩.草地植被盖度的多尺度遥感与实地测量方法综述[J].地球科学进展,2003,18(1):85-93.]

[2]Zhang Qingchun,Liu Baoyuan,Zhai Gang.Review on Relationship between Vegetation and Soil and Water Loss[J].Research of Soil and Water Conservation,2002,9(4):96-101.[张清春,刘宝元,翟刚.植被与水土流失研究综述[J].水土保持研究,2002,9(4):96-101.]

[3]Zhang X,Wu B,Ling F,et al.Identification of Priority Areas for Controlling Soil Erosion[J].Catena,2010,83(1):76-86.

[4]Cheng Hongfang,Zhang Wenbo,Chen Feng.Advances in Researches on Application of Remote Sensing Method to Estimating Vegetation Coverage[J].Remote Sensing for Land & Resources,2008,75(1):13-18.[程红芳,章文波,陈锋.植被覆盖度遥感估算方法研究进展[J].国土资源遥感,2008,75(1):13-18.]

[5]Jia Kun,Yao Yunjun,Wei Xiangqin,et al.A Review on Fractional Vegetation Cover Estimation Using Remote Sensing[J].Advances in Earth Science,2013,28(7):774-782.[贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展[J].地球科学进展,2013,28(7):774-782.]

[6]Liu Yadi,Wang Xiaoqin,Jiang Hong.Estimation of Vegetation Coverage based on Topography-adjusted Vegetation Index (TAVI) in Changting County,Fujian Province[J].Remote Sensing for Land & Resources,2015,27(1):164-171.[刘亚迪,汪小钦,江洪.基于地形调节植被指数估算长汀县植被覆盖度[J].国土资源遥感,2015,27(1):164-171.]

[7]Xu Shuang,Shen Runping,Yang Xiaoyue.A Comparative Study of Different Vegetation Indices for Estimating Vegetation Coverage based on the Dimidiate Pixel Model[J].Remote Sensing for Land & Resources,2012,24(4 ):95-100.[徐爽,沈润平,杨晓月.利用不同植被指数估算植被覆盖度的比较研究[J].国土资源遥感,2012,24(4 ):95-100.]

[8]Wang Peijuan,Sun Rui,Zhu Qijiang,et al.Improvement on the Abilities of BEPS under Accidented Terrain[J].Journal of Image and Graphics,2006,11(7):1017-1026.[王培娟,孙睿,朱启疆,等.复杂地形条件下提高BEPS模型模拟能力的途径[J].中国图象图形学报,2006,11(7):1017-1026.]

[9]Duan Sibo,Yan Guangjian.A Review of Models for Topographic Correction of Remotely Sensed Images in Mountainous Area[J].Journal of Beijing Normal University ( Natural Science ),2007,43(3):362-366.[段四波,阎广建.山区遥感图像地形校正模型研究综述[J].北京师范大学学报(自然科学版),2007,43(3):362-366.]

[10]Wen Jianguang,Liu Qinhuo,Xiao Qin,et al.Modeling the Land Surface Reflectance for Optical Remote Sensing Data in Rug-ged Terrain[J].Science in China Series D (Earth Sciences),2008,38(11):1419-1427.[闻建光,柳钦火,肖青,等.复杂山区光学遥感反射率计算模型[J].中国科学(D辑:地球科学),2008,38(11):1419-1427.]

[11]Wu Zhijie,Xu Hanqiu.A New Index for Vegetation Enhancements of Mountainous Regions based on Satellite Image Data[J].Journal of Geo-information Science,2011,13(5):656-663.[吴志杰,徐涵秋.卫星影像数据构建山地植被指数与应用分析[J].地球信息科学学报,2011,13(5):656-663.]

[12]Xu Hanqiu.Image based Normalization Technique Used for Landsat TM/ETM+ Imagery[J].Geomatics and Information Science of Wuhan University,2007,32(1):62-66.[徐涵秋.基于影像的Landsat TM /ETM+数据正规化技术[J].武汉大学学报:信息科学版,2007,32(1):62-66.]

[13]Lü Aifeng,Zhou Lei,Zhu Wenbin.The Remote Sensing based Dynamic Monitoring of Land Desertification in Qinghai Province\[J\].Remote Sensing Technology and Application,2014,29(5):803-811.\[吕爱锋,周磊,朱文彬.青海省土地荒漠化遥感动态监测\[J\].遥感技术与应用,2014,29(5):803-811.]

[14]Zribia M,Hegarat-Masclea S L,Taconeta O,et al.Derivation of Wild Vegetation Cover Density in Semi-arid Regions:ERS2/SAR Evaluation[J].International Journal of Remote Sensing,2003,24(6):1335-1352.

[15]Li Miaomiao,Wu Bingfang,Yan Changzhen,et al.Estimation Vegetation Fraction in the Upper Basin of Miyun Reservoir by Remote Sensing[J].Resources Science,2004,26(4):153-159.[李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.]

[16]Zhang Can,Xu Hanqiu,Zhang Hao,et al.Fractional Vegetation Cover Change and Its Ecological Effect Assessment in a Typical Reddish Soil Region of Southeastern China:Changting County,Fujian Province[J].Journal of Natural Resources,2015,30(6):917-927.[张灿,徐涵秋,张好,等.南方红壤典型水土流失区植被覆盖度变化及其生态效应评估--以福建省长汀县为例[J].自然资源学报,2015,30(6):917-927.]

[17]Jin Hang,Shen Weishou,Yan Yechao,et al.Study on Slope-direction of Vegetation Coverage of Daqing Mount Nature Reserve based on NDMVI[J].Forest Resources Management,2015,(3):59-64.[金行,沈渭寿,闫业超,等.基于NDMVI的大青山自然保护区植被覆盖度坡向分异研究[J].林业资源管理,2015,(3):59-64.]

[18]Zhang Z,He G,Liu D,et al.An Improved Physical Model to Correct Topographic Effects in Remotely Sensed Imagery[J].Spectroscopy and Spectral Analysis,2010,30(7):1839-1842.

[19]Gong Jianzhou,Xia Beicheng.Response to Classification Numbers of Vegetation Types on Correlative Coefficients among Landscape metrics[J].Acta Ecologica Sinica,2007,27(10):4076-4085.[龚建周,夏北成.景观格局指数间相关关系对植被覆盖度等级分类数的响应[J].生态学报,2007,27(10):4076-4085.]

[20]Li Miaomiao.The Method of Vegetation Fraction Estimation by Remote Sensing[D].Beijing:Graduate School of Chinese Academy of Sciences,2003:79.[李苗苗.植被覆盖度的遥感估算方法研究[D].北京:中国科学院研究生院,2003:79.]

[21]Chen Yunhao,Li Xiaobing,Shi Peijun.Landscape Spatial-Temporal Pattern Analysis on Change in the Fraction of Green Vegetation based on Remotely Sensed Data A Case Study in Haidian District,Beijing[J].Acta Ecologica Sinica,2002,22(19):1581-1586.[陈云浩,李晓兵,史培军.基于遥感的植被覆盖变化景观分析-以北京海淀区为例[J].生态学报,2002,22(19):1581-1586.]


 

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