| 光谱学与光谱分析 |
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| Advances in the Research on Hyperspectral Remote Sensing in Biodiversity and Conservation |
| HE Cheng1, FENG Zhong-ke1*, YUAN Jin-jun2, WANG Jia1，GONG Yin-xi1, DONG Zhi-hai1, 3 |
1. Institute of GIS, RS & GPS, Beijing Forestry University, Beijing 100083, China
2. Public Safety Institute, Tsinghua University, Beijing 100084, China
3. Beijing Institute of Surveying and Mapping, Beijing 100038, China |
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Abstract With the species reduction and the habitat destruction becoming serious increasingly, the biodiversity conservation has become one of the hottest topics. Remote sensing, the science of non-contact collection information, has the function of corresponding estimates of biodiversity, building model between species diversity relationship and mapping the index of biodiversity, which has been used widely in the field of biodiversity conservation. The present paper discussed the application of hyperspectral technology to the biodiversity conservation from two aspects, remote sensors and remote sensing techniques, and after, enumerated successful applications for emphasis. All these had a certain reference value in the development of biodiversity conservation.
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Received: 2011-12-17
Accepted: 2012-03-16
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Corresponding Authors:
FENG Zhong-ke
E-mail: fengzhonke@126.com
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[1] LI Feng-xiu, ZHANG Bai, LIU Dian-wei, et al(李凤秀，张 柏，刘殿伟，等). Chinese Journal of Ecology(生态学杂志), 2008, 27(7): 1077.
[2] LIU Zhen(刘 震). Water Resources Protection(水资源保护), 2008, 24(1): 69.
[3] Turner W, Spector S, Gardiner N, et al. Trends Ecol. Evol., 2003, 18: 306.
[4] Chambers J Q,Robertson A L, Carneiro V M C, et al. Oecologia, 2009, 160: 107.
[5] Collingwood A, Franklin S E, Guo X, et al. Remote Sens., 2009, 35: 23.
[6] Kerr J T, Ostrovsky M. Trends Ecol. Evol., 2003, 18: 299.
[7] Aplin P. Geogr., 2005, 29: 104.
[8] Gillespie T W, Foody G M, Rocchini D, et al. Prog. Phys. Geogr., 2008, 32: 203.
[9] Wabnitz C C, Andrefouet S, Torres-Pulliza D, et al. Remote Sens. Environ., 2008, 112: 3455.
[10] Harborne A R, Mumby P J, Kappel C V, et al. Ecol. Appl., 2008, 18: 1689.
[11] Nagendra H, Rocchini D. Biodivers. Conserv., 2008, 17: 3431.
[12] Foster J R, Townsend P A, Zganjar C E. Remote Sens. Environ., 2008, 112: 2104.
[13] Pignatti S, Cavalli R M, Cuomo V, et al. Remote Sens. Environ., 2009, 113: 622.
[14] Walsh S J, Shao Y, Mena C F, et al. Photogramm. Eng. Remote Sens., 2008, 74: 725.
[15] Duro D C, Coops N C, Wulder M A, et al. Prog. Phys. Geogr., 2007, 31: 235.
[16] Mildrexler D J, Zhao M S, Heinsch F A, et al. Ecol. Appl., 2007, 17: 235.
[17] Crow W T, Zhan X. Remote Sens. Lett., 2007, 4: 451.
[18] Petropoulos G, Carlson T N, Wooster M J, et al. Prog. Phys. Geogr., 2009, 33: 224.
[19] Kramer H J, Cracknell A P. Int. J. Remote Sens., 2008, 29: 4285.
[20] Wang K, Franklin S E, Guo X, et al. Prog. Phys. Geogr., 2009, 33: 747.
[21] Lim K, Treitz P, Wulder M, et al. Prog. Phys. Geogr., 2003, 27: 88.
[22] Goetz S, Steinberg D, Dubayah R, et al. Remote Sens Environ., 2007, 108: 254.
[23] FENG Zhong-ke, LUO Xu, SHI Li-ping(冯仲科，罗 旭，石丽萍). World Forestry Research(世界林业研究)，2005, 18(3): 25.
[24] SONG Kai-shan, ZHANG Bai, LI Fang, et al(宋开山，张 柏，李 方，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2005, 21(1): 36.
[25] XU Xin-gang, WU Bing-fang, MENG Ji-hua,et al(徐新刚，吴炳方，蒙继华，等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2008, 24(2): 290.
[26] FU Wei-dong, LIU Shao-min, HUANG Jing-feng(傅玮东，刘绍民，黄敬峰). Journal of Arid Land Resources and Environment(干旱区资源与环境), 1997, 11(1): 84.
[27] LI Wei-guo, ZHAO Chun-jiang, WANG Ji-hua, et al(李卫国，赵春江，王纪华，等). Remte Sensing for Land ＆ Resource(国土资源遥感), 2007, (2): 6.
[28] Lefsky M A, Keller M, Pang Y, et al. J. Appl. Remote Sens., 2007, 1: 013537.
[29] Pflugmacher D, Cohen W, Kennedy R, et al. For. Sci., 2008, 54: 647.
[30] Helmer E H, Lefsky M A, Roberts D A. J. Appl. Remote Sens., 2009, 3: 033505.
[31] Sanchez-Hernandez C，Boyd D S，Foody G M. Geosci. Remote Sens., 2007, 45: 1061.
[32] Im J，Jensen J R, Tullis J A. International J of Remote Sensing, 2008, 29: 399.
[33] Lu D, Weng Q. Remote Sens. Environ., 2006, 104: 157.
[34] Plourde L C, Ollinger S V, Smith M L, et al. Photogramm. Eng. Remote Sens., 2007, 73: 829.
[35] Gitelson A A. J. Plant Physiol., 2004, 161: 165.
[36] Boyd D S, Danson F M. Prog. Phys. Geogr., 2005, 29: 1.
[37] Park M H, Stenstrom M K. Water Res., 2006, 40: 3429.
[38] Migliavacca M, Meroni M, Busetto L, et al. Sensors, 2009, 9: 922.
[39] Huang S L, Crabtree R L, Potter C, et al. Environ., 2009, 113: 1926.
[40] Ehlers M, Edwards G, Bedard Y. Eng. Remote Sens., 1989, 55: 1619.
[41] Foody G M. Prog. Phys. Geogr., 2008, 32: 223.
[42] Giriraj A, Murthy M S R, Ramesh B R, et al. Ecol. Res., 2009, 24: 749.
[43] Dong X, Liu L, Wang J, et al. Int. J. Earth Sci., 2009, 98: 651. |
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