Applying high-resolution satellite images to estimate tree diversity of mixed broadleaf-Korean pine forest

XIE Wei-jia; HUANG Kan; LI Rui-ping; SUN Hao; HU Jing-jing; HUANG Hua-guo

doi:10.13332/j.1000-1522.20140306

Journal of Beijing Forestry University > 2015 > 37(3): 20-26. > DOI: 10.13332/j.1000-1522.20140306

XIE Wei-jia, HUANG Kan, LI Rui-ping, SUN Hao, HU Jing-jing, HUANG Hua-guo. Applying high-resolution satellite images to estimate tree diversity of mixed broadleaf-Korean pine forest[J]. Journal of Beijing Forestry University, 2015, 37(3): 20-26. DOI: 10.13332/j.1000-1522.20140306

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Applying high-resolution satellite images to estimate tree diversity of mixed broadleaf-Korean pine forest

Beijing Forestry University, Beijing, 100083, P. R. China.

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Received Date: September 14, 2014
Revised Date: November 10, 2014
Published Date: March 30, 2015

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Abstract

Abstract

The application of remote sensing technology to estimate forest biodiversity is a research hotspot and challenge in forest ecology. To explore the potential of high-resolution satellite data in estimating forest vegetation diversity, we extracted the spatial pattern of Korean pine (Pinus koraiensis) canopies, and estimated the arbor species diversity, supported by field large plot data in Jiaohe, Jilin Province. First, we extracted the Korean pine canopy distribution based on a GeoEye-1 winter image, which agreed well with individual tree position measured in situ. Then, we analyzed the spatial population distribution of Korean pine using landscape ecology and geostatistics index, which was found to have a maximum autocorrelation scale of 30--40 m. Finally, we used a RapidEye satellite image with a special red edge band in autumn to establish multiple linear regression model with plot diversity data. The model linked remote sensing image spectral values (5 m) and texture parameters (30 m window size) with species diversity. Results showed that red edge information did not significantly improve the ability of multi-spectral data in estimating vegetation biodiversity, but regional mapping results matched well with the stand age class.
- remote sensing,
- forest ecosystems,
- biodiversity,
- population distribution patterns

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[1]	马克平, 钱迎倩. 生物多样性保护及其研究进展[J]. 应用与环境生物学报, 1998, 4(1): 95-99.
[1]	MA K P, QIAN Y Q. Biodiversity conservation and its research progress[J]. Chinese Journal of Applied Environmental Biology, 1998, 4(1): 95-99.
[2]	CHEN M. Research and application of forest biodiversity theory and method[D]. Nanjing: Nanjing Forestry University, 2005: 52-71.
[2]	陈梦. 森林生物多样性理论与方法研究及应用[D]. 南京:南京林业大学, 2005: 52-71.
[3]	XU W T, WU B F. Progress on measuring forest biodiversity with remote sensing technique[J]. Acta Ecologica Sinica, 2005, 25(5): 1199-1204.
[3]	POWERS R P, COOPS N C, MORGAN J L, et al. A remote sensing approach to biodiversity assessment and regionalization of the Canadian boreal forest[J]. Progress in Physical Geography, 2013, 37(1): 36-62.
[4]	DING S J, ZHANG C Y, XIA F C, et al. Habitat associations of understorey species spatial distribution in old growth broad-leaved Korean pine (Pinus koraiensis) forest[J]. Acta Ecologica Sinica, 2012, 32(11): 3334-3342.
[4]	GAIROLA S, PROCHES Ş, ROCCHINI D. High-resolution satellite remote sensing: a new frontier for biodiversity exploration in Indian Himalayan forests[J]. International Journal of Remote Sensing, 2013, 34(6): 2006-2022.
[5]	ZHANG F, ZHANG X S. Landscape spatial autocorrelation analysis of TM remote sensing data: a case study of Changping District, Beijing, China[J]. Acta Ecologica Sinica, 2004, 24(12): 2853-2858.
[5]	徐文婷, 吴炳方. 遥感用于森林生物多样性监测的进展[J]. 生态学报, 2005, 25(5): 1199-1204.
[6]	YOUNG K E, ABBOTT L B, CALDWELL C A, et al. Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+[J]. International Journal of Biodiversity and Conservation, 2013, 5(3): 122-134.
[6]	QIU Y, ZHANG J T, ZHENG F Y. The kernel of landscape ecology: spatial and temporal heterogeneity in ecological systems[J]. Chinese Journal of Ecology, 2000, 19(2): 42-49.
[7]	MISKA L, TUULI T, RISTO K H. Prediction of total and rare plant species richness in agricultural landscapes from satellite images and topographic data[J]. Landscape Ecology, 2002, 17(3): 195-217.
[7]	WEN Z F, YANG S Q, BAI J, et al. Agricultural landscape spatial heterogeneity analysis and optimal scale selection: an example applied to Sanjiang Plain[J]. Acta Geographica Sinica, 2012, 67(3): 346-356.
[8]	MA K P, LIU Y M. Measurement of biotic community diversity[J]. Chinese Biodiversity, 1994, 2(4): 231-239.
[8]	ROCCHINI D. Effects of spatial and spectral resolution in estimating ecosystem diversity by satellite imagery[J]. Remote Sensing of Environment, 2007, 111(4): 423-434.
[9]	LI C G, ZHAO X W, CAI T J. Influence of the size of remote sensing area on forest volume estimation[J]. Journal of Beijing Forestry University, 2001, 23(4): 29-34.
[9]	KASPER J, STUART P. Mapping structural parameters and species composition of riparian vegetation using IKONOS and Landsat ETM+ data in Australian tropical savannahs[J]. Photogrammetric Engineering Remote Sensing, 2006, 72(1): 71-80.
[10]	JAKUBAUSKAS M E, PRICE K P. Empirical relationships between structural and spectral factors of Yellowstone lodgepole pine forests[J]. Photogrammetric Engineering and Remote Sensing, 1997, 63(12): 1375-1380.
[11]	ZHANG C, ZHAO Y, ZHAO X, et al. Species-habitat associations in a northern temperate forest in China[J]. Silva Fenn, 2012, 46(4): 501-519.
[12]	ZHANG C, WEI Y, ZHAO X, et al. Spatial characteristics of tree diameter distributions in a temperate old-growth forest[J]. PLoS One, 2013, 8(3): e58983.
[13]	丁胜建, 张春雨, 夏富才, 等. 老龄阔叶红松林下层木空间分布的生境关联分析[J]. 生态学报, 2012, 32(11): 3334-3342.
[14]	张峰, 张新时. 基于TM影像的景观空间自相关分析: 以北京昌平区为例[J]. 生态学报, 2004, 24(12): 2853-2858.
[15]	邱扬, 张金屯, 郑凤英. 景观生态学的核心: 生态学系统的时空异质性[J]. 生态学杂志, 2000, 19(2): 42-49.
[16]	温兆飞, 张树清, 白静,等. 农田景观空间异质性分析及遥感监测最优尺度选择: 以三江平原为例[J]. 地理学报, 2012, 67(3): 346-356.
[17]	马克平, 刘玉明. 生物群落多样性的测度方法[J]. 生物多样性, 1994, 2(4): 231-239.
[18]	MAGURRAN A E. Ecological diversity and its measurement[M]. Princeton: Princeton University Press, 1988.
[19]	李崇贵, 赵宪文, 蔡体久. 遥感区域大小对森林蓄积估测影响规律的研究[J]. 北京林业大学学报, 2001, 23(4): 29-34.
[20]	COLLEN B, PETTORELLI N, BAILLIE J E M, et al. Accounting for change: measuring and monitoring indicators for biodiversity conservation across scales[J]. Ecology, 2014, 95(2): 579-580.

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Applying high-resolution satellite images to estimate tree diversity of mixed broadleaf-Korean pine forest

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