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地球科学进展  2003, Vol. 18 Issue (4): 534-544    DOI: 10.11867/j.issn.1001-8166.2003.04.0534
研究论文     
遥感技术在植物物候研究中的应用综述
张学霞,葛全胜,郑景云
中国科学院地理科学与资源研究所,北京 100101
OVERVIEW ON THE VEGETATION PHENOLOGY USING THE REMOTE SENSING
Zhang Xuexia,Ge Quansheng,Zheng Jingyun
Institute of Geography and Natural Resource Research,China Academy of Sciences,Beijing 100101,China
 全文: PDF(177 KB)  
摘要:

通过遥感技术研究植物物候现象的机理分析,认为植被指数可反映植被各物候期的特征。国内外在探测植物生长季始末日期、花期变化、净第一性生产力变化、全球碳收支等方面的研究促进了植物物候的发展;同样物候研究也可提高遥感影像植物分类和作物估产的精度,同时可促进高光谱遥感的发展。通过我国物候研究从传统的农林业应用转向注重遥感探测、生态学应用的现状分析,展望了我国物候发展方向:关注植物生长季始末时间的时空分布规律;遥感监测植物季相变化;遥感监测植物花期;注重探讨植物生理和生态特征;植物高光谱遥感物候研究;重视物候科普普及工作。

关键词: 遥感植物物候生长季NDVI    
Abstract:

From the analysis of the mechanism of foliage phenology using remote sensing technology, we can see that vegetation index(VI) can indicate features of each phenophase. Many researches on the starting and ending days of the growing day, changes of florescence, changes of GPP , the sink and source of global carbon using vegetation index have been done. And all the above studies inside and outside speed up enlarge the fields of foliage phenology. On the other hand, the analysis on foliage phenology can improve the accuracy of vegetation classification and crop estimation. At the same time the advances of foliage phenology can speed up the development of hyperspectral remote sensing technology, too. The applied fields of phenology have been from the traditional fields of agriculture and forestry to the fields of phonological observations using remote sensing and ecological applications in the last 20 years in China. And studies on the spatial and temporal raw of the starting and ending days of the growing days, seasona changes of plants using remote sensing, changes of florescence using remote sensing, physiological and ecological characteristics of foliage, phenophase observations using hyperspectral remote sensing technology, educating children and the general public on phenology and global change issues should be done in the future in China. And the future of phenology is very splendid in China.

Key words: Remote sensing    Vegetation phenology    Growing days    NDVI.
收稿日期: 2002-08-19 出版日期: 2003-08-01
:  TP79  
基金资助:

2002年中国科学院研究生资助专项“植被指数对植物物候敏感性响应的个案研究”(编号:200210);中国科学院知识创新工程重要方向项目“过去2000年中国环境变化综合研究”(编号:KZCX2-314)、“历史时期环境变化的重大事件复原及其影响研究”(编号:KZCX3-SW -321)共同资助.

通讯作者: 张学霞     E-mail: zhangxuex@igsnrr.ac.cn
作者简介: 张学霞(1975-),女,山东临沂人,博士研究生,主要从事遥感应用和全球环境变化研究.E-mail:zhangxuex@igsnrr.ac.cn
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引用本文:

张学霞,葛全胜,郑景云. 遥感技术在植物物候研究中的应用综述[J]. 地球科学进展, 2003, 18(4): 534-544.

Zhang Xuexia,Ge Quansheng,Zheng Jingyun. OVERVIEW ON THE VEGETATION PHENOLOGY USING THE REMOTE SENSING. Advances in Earth Science, 2003, 18(4): 534-544.

链接本文:

http://www.adearth.ac.cn/CN/10.11867/j.issn.1001-8166.2003.04.0534        http://www.adearth.ac.cn/CN/Y2003/V18/I4/534

[1] Zhu Kezhen,Wan Minwei. Phenology[M]. Changsha: Education Press of Hunan Province,1999.1-4.[竺可桢,宛敏渭.物候学[M].长沙:湖南教育出版社,1999.1-4.]

[2] Fang Xiuqi, Yu Weihong. Progress in the studies on the phenology responding to globe warming[J]. Advances in Earth Science,2002,17(5):714-719.[方修琦,余卫红.物候对全球变暖响应的研究综述[J].地球科学进展,2002,17(5):714-719.]

[3] Fritz Schnelle. Pflanzen-Phänlolgie[M]. Beijing: Science Press,1965.46-50.[F·施奈勒.植物物候学[M].北京:科学出版社,1965.46-50.]

[4] Wang Licun. Ancient and Modern Phenology in China [M]. Chengdu: Sichuan University Press,1990.174-182.[王梨村.中国古今物候学[M].成都:四川大学出版社,1990.174-182.]

[5] Zhang Fuchun, Wang Dehui, Qiu Baojian. Agricultural Phonological Atlas of China [M]. Beijing: Science Press, 1987. [张福春,王德辉,丘宝剑.中国农业物候图集[M].北京:科学出版社,1987.]

[6] Wan Minwei, Liu Xiuzhen. Methods of Phonological Observation of China [M]. Beijing: Science Press,1987.[宛敏渭,刘秀珍.中国物候观测方法[M].北京:科学出版社,1987.]

[7] Gong Gaofa, Zhang Piyuan, Wu Xiangding, et al. Methodology of Climate Changes in Historical Times [M]. Beijing: Science Press, 1983.[龚高发,张丕远,吴祥定,.历史时期气候变化研究方法[M].北京:科学出版社,1983.]

[8] Zhang Fuchun. Effects of global warming on plant phonological events in China[J]. Acta Geographica Sinica, 1995, 50(5):402-410.[张福春.气候变化对中国木本植物物候的可能影响[J].地理学报,1995,50(5):402-410.]

[9] Zhao Maosheng, Fu Congbin, Yan Xiaodong, et al. Study on the relationship between different ecosystems and climate in China using NOAA /AVHRR data[J]. Acta Geograhica Sinica,2001,56(3):287-296.[赵茂盛,符淙斌,延晓冬,.应用遥感数据研究中国植被生态系统与气候的关系[J].地理学报,2001,56(3):287-296.]

[10] Zhao Maosheng, Ronald P Neilson, Yan Xiaodong, et al. Modeling the vegetation of China under changing climate[J]. Acta Geograhica Sinica,2002,57(1):28-38.[赵茂盛,Ronald P Neilson,延晓冬,.气候变化对中国植被可能影响的模拟[J].地理学报,2002,57(1):28-38.]

[11] Li Bengang, Tao Shu. Relation between AVHRR NDVI and climate factors[J]. Acta Ecologica Sinica, 2000, 20(5):898-902.[李本纲,陶澍. AVHRR NDVI与气候因子的相关分析[J].生态学报,2000,20(5):898-902.]

[12] Piao Shilong, Fang Jingyun. Dynamic vegetation cover change over the last 18 years in China[J]. Quaternary Sciences, 2001, 21(4):294-302. [朴世龙,方精云.最近18年来中国植被覆盖的动态变化[J].第四纪研究,2001,21(4):294-302.]

[13] Li Shuangcheng. A review on simulating plant response to climate change [J]. Progress in Geography, 2001, 20(3):217-226. [李双成.植物相应气候变化模型模拟研究进展[J].地理科学进展,2001,20(3):217-226.]

[14] Root T L. Effects of global climate change on North American birds and their communities [A]. In: Kareiva P M, Kingsolver J G, Huey R B, eds. Biotic Interactions and Global Change[C].Sunderland, MA: Sinauer Associates, 1993.

[15] Annette Menzel, Elisabeth Beaubien, Elisabeth Koch, et al. International Conference: Progress in Phenology-Monitoring, Data Analysis, and Global Change Impacts[C]. Freising, Germany, 2000.

[16] Zheng Jingyun, Ge Quansheng, Hao Zhixin. Impacts of climate warming on plants phenophases in China for the last 40 years[J]. Chinese Science Bulletin,2002,47(21):1 826-1 831.

[17] Li Xiaobing, Shi Peijun. Sensitivity analysis of variation in NDVI, temperature and pricipitation in typical vegetation types across China[J]. Acta Phytoecologica Sinica,2000,24(3):379-382.[李晓兵,史培军.中国典型植被类型NDVI动态变化与气温、降水变化的敏感性分析[J].植物生态学报,2000,24(3):379-382.]

[18] White M A, Running S W, Thornton P E . The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest[J]. International Journal of Biometeorology, 1999,42:139-145.

[19] Liu Xiangnan, Zhou Zhan’ao. Remote sensing model for maize yield estimation based on biological principles[J]. Journal of Northeast Normal University,1995,2:110-114.[刘湘南,周占鳌.基于生物学原理的玉米遥感估产模型[J].东北师范大学学报:自然科学版,1995,2:110-114.]

[20] Daleziosl N R, Domenikiotis C, Loukas A, et al. Cotton yield estimation based on NOAA /AVHRR produced NDVI[J]. Physics and Chemistry of the Earth(B),2001,26(3):247-251.

[21] Verbyla D. A test of detecting spring leaf flush within the Alaskan boreal forest using ERS-2 and Radar SAR data[J]. International Journal of Remote Sensing,2001,22:1 159-1 165.

[22] Wen Gang. Seasonal phonological characteristics in east China monsoon region with AVHRR normalized difference vegetation Index data set[J]. Journal of Remote Sensing,1998,2(4):270-275.[温刚.利用AVHRR植被指数数据集分析中国东部季风区的物候季节特征[J].遥感学报,1998,2(4):270-275.]

[23] Shi Peijun, Li Xiaobing, Zhou Wuguang. Detection of vegetation response to climate change in north China using “3S” technology[J]. Quaternary Sciences,2000,20(3):220-228.[史培军,李晓兵,周武光.利用“3S”技术检测我国北方气候变化的植被响应[J].第四纪研究,2000,20(3):220-228.]

[24] Mark D Schwartz,Chen Xiaoqiu. Examining the onset of spring in China[J]. Climate Research,2002,12:157-164.

[25] Chen Lijun, Liu Gaohuan, Feng Xianfeng. Advances in study on net primary productivity of vegetation using remote sensing[J]. Chinese Journal of Ecology,2002,21(2):53-57.[陈利军,刘高焕,冯险峰.遥感在植被净第一性生产力研究中的应用[J].生态学杂志,2002,21(2):53-57.]

[26] Chen Xiaoqiu, Cao Zhiping. Frequency distribution on pattern of plant phenophases and its application to season determination[J]. Scientia Geographica Sinica,1999,19(2):21-27.[陈效逑,曹志萍.植物物候期的频率分布型及其在季节划分中的应用[J].地理科学,1999,19(2):21-27.]

[27] Thomas Rtzer, Frank-M Chmielewski. Phenological maps of Europe[A]. Agrarmeteorologische Schriften[C]. Landwirtschaftlich-Gärtnerische Fakultät Institute fürPflanzenbauwissenschaften.Heft06 /2000.

[28] Zhou Liming,Compton J Tucker,Robert K Kaufmann,et al. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999[J]. Journal of Geophysical Research,2001,106(D17):20 069-20 083.

[29] Mark D Schwartz. Green-wave phenology[J]. Nature,1998,394(27):839-840.

[30] Moulin S,Kergoat L,Viovy N,et al. Global scale assessment of vegetation phenology using NOAA /AVHRR satellite measurements[J]. Journal of Climate,1997,10:1 154-1 170.

[31] Mei Anxin,Peng Wanglu,Qin Qiming,et al. Introduction to Remote Sensing[M]. Beijing:Higher Education Press,2001.240-249.[梅安新,彭望,秦其明,.遥感导论[M].北京:高等教育出版社,2001.240-249.]

[32] Liu Yujie,Yang Zhongdong. Theory and Method of MODIS Data Disposal[M]. Beijing: Science Press,2001.[刘玉洁,杨忠东.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.]

[33] Jiang Dong,Wang Naibin,Yang Xiaohuan,et al. Ecological connotation and application of the vegetation index-surface temperature feature space[J]. Progress in Geography,2001,20(2):146-152.[江东,王乃斌,杨小唤,.植被指数地面温度特征空间的生态学内涵及其应用[J].地理科学进展,2001,20(2):146-152.]

[34] Pu Ruiliang,Gong Peng. Theory and Application of Hyperspectral Remote Sensing[M]. Beijing: Higher Education Press,2000.36-45.[浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社,2000.36-45.]

[35] MenzelA, Fabian P. Growing season extended in Europe[J].Nature,1999,397:659-659.

[36] Benoît Duchemin,Jéròme Goubier,Gaston Courrier. Monitoring phonological key stages and cycle duration of temperate deciduous forest ecosystems with NOAA/AVHRR data[J]. Remote Sensing of Environment,1999,67:68-82.

[37] Alicia K Birky. NDVI and a simple model of deciduous forest seasonal dynamics[J]. Ecological Modelling, 2001, 143:43-58.

[38] Monica Garcia,Susan L Ustin. Detection of interannual vegetation responses to climatic variability using AVIRIS data in a coastal savanna in California[J]. IEEE Transactions on Geoscience and Remote Sensing,2001,39(7):1 480-1 490.

[39] Myneni R B,Keeling C D,Tucker C J,et al. Increased plant growth in the northern high latitudes from 1981-1991[J]. Nature,1997,386:698-702.

[40] Compton J Tucker, Daniel A Slayback, Jorge E Pinzon, et al. Higher northern latitude NDVI and growing season trends from1982 to 1999[J]. International Journal of Biometeorology, 2001, 45:184-190.

[41] Shabanov V, Zhou Liming, Yuri Knyazikhin, et al. Analysis of interannual changes in northern vegetation activity observed in AVHRR data during 1981 to 1994[J]. IEEE Transaction on Geoscience and Remote Sensing, 2001, 40:115-130.

[42] Kjell Arild Hogda, Stein Rune Karlsen, Inger Solheim. Climatic Change Impaction Growing Season in Fennoscandia Studied by a Time Series of NOAA AVHRR NDVI Data[EB/OL]. http://www.itek.norut. no/-stein/dr/nordic/info/IGARSS2001. pdf.2001.

[43] Qi Ye. The effect of climate change on vegetation at high latitudes of the northern hemisphere: A functional analysis [J]. Acta Ecologica Sinica,1999,19(4):474-477.[齐晔.北半球高纬度地区气候变化对植被地影响途径和机制[J].生态学报,1999,19(4):474-477.]

[44] Zhou Guangsheng, Zhang Xinshi. Study on NPP of natural vegetation in China under global climate change[J]. Acta Phytoecologica Sinica,1996,20(1):11-19.[周广胜,张新时.全球气候变化的中国自然植被的净第一性生产力研究[J].植物生态学报,1996,20(1):11-19.]

[45] Ruimy A, Kergoat L, Bondeau A, et al. Comparing global models of terrestrial net primary productivity(NPP): Analysis of differences in light absorption and light-use efficiency[J]. Global Change Biology,1999,5:56-64.

[46] Pan Yaozhong, Li Xiaobing, He Chunyang. Research on comprehensive and cover classification in China: Based on NOAA/AVHRR and Holdridge PE index[J]. Quaternary Sciences,2000,20(3):270-281.[潘耀忠,李晓兵,何春阳.中国土地覆盖综合分类研究——基于NOAA -AVHRRHoldridge PE[J].第四纪研究,2000,20(3):270-281.]

[47] Thomas M Lillesand, Ralph W Kilefer. Remote Sensing and Image Interpretation[M]. New York: Chichester Brisbane Toronto,1979.528-597.

[48] Ramakrishna R Nemani, Michael A White1, Daniel R Cayan, et al. Asymmetric warming over coastal California and its impact on the premium wine industry[J]. Climate Research, 2001, 19:25-34.

[49] Prasad S Thenkabail, Ronald B Smith, Eddy De Pauw. Hyperspectral vegetation indices and their relationships with agricultural crop characteristics[J]. Remote Sensing of Environment,2000,71:158-182.

[50] Chen Zhanghe, Luo Jieyuan, Zhou Yunlong. Flowering and fruiting phonologies of the woody plants in three floras in China[J]. Journal of Tropical and Subtropical Botany,1999,7(2):102-108.[陈章和,罗洁源,周云龙.几个气候区木本植物的开花结果物候[J].热带亚热带植物学报,1999,7(2):102-108.]

[51] Yang Guodong, Chen Xiaoqiu. On the seasonal rhythm of natural landscape[J]. Acta Ecologica Sinica, 1998, (3):233-240. [杨国栋,陈效逑.论自然景观的季节节奏[J].生态学报,1998,(3):233-240.]

[52] Li Shengqiang, Zhang Fuchun. Phenological informationalizing and phenological spatio-temporal change analysis[J]. Progress in Geography,1999,18(4):352-359.[李胜强,张福春.物候信息化及物候时空变化分析[J].地理科学进展,1999,18(4):352-359.]

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