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2002—2011年河北省植被LAI时空变化特征(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2015年01期
Page:
86-92
Column:
研究论文
publishdate:
2015-01-30

Article Info:/Info

Title:
Spatial-temporal change of leaf area index(LAI)of vegetations in Hebei Province from 2002 to 2011
Article ID:
1000-2006(2015)01-0086-07
Author(s):
ZHANG Yujia YUAN Jinguo* ZHANG Sha
Hebei Provincial Key Laboratory of Environmental Change and Ecological Construction, College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050024, China
Keywords:
MODIS data leaf area index(LAI) temporal and spatial change Hebei province
Classification number :
S711; TP79
DOI:
10.3969/j.issn.1000-2006.2015.01.016
Document Code:
A
Abstract:
The vegetation index product MOD15A2 and vegetation type product MCD12Q1 of EOS/MODIS data and meteorological data were used in this study. LAI of seven typical vegetation types were compared,and spatial temporal change of LAI in growing seasons in Hebei province from 2002 to 2011 was explored by using linear regression analysis and correlation analysis methods. The relationship between LAI, air temperature and precipitation were also analyzed. The results showed that the annual average LAI values in growing seasons(from May to October)were 1.0-1.3, the highest was 1.286 in 2008, and the lowest was 1.066 in 2002. As for spatial distribution, LAI in Chengde region in the northeast was the highest, which reached more than 5.0, and LAI in Zhangjiakou region in the northwest was the lowest, which reached less than 0.5. The annual average LAI of seven typical vegetation types in growing seasons were very different, and LAI from high to low could be broadleaf forest(2.765), mixed forest(2.535), shrub(1.867), savanna(1.476), coniferous forest(1.331), farmland(1.116)and grassland(0.967). The significant factors influencing LAI were precipitation, air temperature, topography, vegetation types and phenology, and the impact of each factor on vegetation LAI was different.

References

[1] Chen J M, Cihlar J. Retrieving leaf area index of boreal conifer forests using Landsat TM images[J]. Remote Sensing of Environment, 1996, 55(2): 153-162.
[2] 张霞, 张兵, 卫征, 等. MODIS 光谱指数监测小麦长势变化研究[J]. 中国图象图形学报, 2005, 10(4): 420-424.Zhang X, Zhang B, Wei Z, et al. Study on spectral indices of MODIS for wheat growth monitoring[J]. Journal of Image and Graphics, 2005, 10(4): 420-424.
[3] 冯伟, 朱艳, 姚霞, 等. 基于高光谱遥感的小麦叶干重和叶面积指数监测[J]. 植物生态学报, 2009, 33(1): 34-44.Feng W, Zhu Y, Yao X, et al. Monitoring leaf dry weight and leaf area index in wheat with hyperspectral remote sensing[J]. Journal of Plant Ecology, 2009, 33(1): 34-44.
[4] 蒙继华, 吴炳方, 李强子. 全国农作物叶面积指数遥感估算方法[J]. 农业工程学报, 2007, 23(2): 160-167.Meng J H, Wu B F, Li Q Z. Method for estimating crop leaf area index of China using remote sensing[J]. Transactions of the CSAE, 2007, 23(2): 160-167.
[5] 杨鹏, 吴文斌, 周清波, 等. 基于作物模型与叶面积指数遥感影像同化的区域单产估测研究[J]. 农业工程学报, 2007, 23(9): 130-136.Yang P, Wu W B, Zhou Q B, et al. Assimilating remotely sensed LAI into GIS-based EPIC model for yield assessment on regional scale[J]. Transactions of the CSAE, 2007, 23(9): 130-136.
[6] 李开丽, 蒋建军, 茅荣正, 等. 植被叶面积指数遥感监测模型[J]. 生态学报, 2005, 25(6): 1491-1496.Li K L, Jiang J J, Mao R Z, et al. The modeling of vegetation through leaf area index by means of remote sensing[J]. Acta Ecologica Sinica, 2005, 25(6): 1491-1496.
[7] 王希群, 马履一, 贾忠奎, 等. 叶面积指数的研究和应用进展[J]. 生态学杂志, 2005, 24(5): 537-541.Wang X Q, Ma L Y, Jia Z K, et al. Research and application advances in leaf area index(LAI)[J]. Chinese Journal of Ecology, 2005, 24(5): 537-541.
[8] Chen J M, Pavlic G, Brown L, et al. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements[J]. Remote Sensing of Environment, 2002, 80(1): 165-184.
[9] 吴伟斌, 洪添胜, 王锡平, 等. 叶面积指数地面测量方法的研究进展[J]. 华中农业大学学报, 2007, 26(2): 270-275.Wu W B, Hong T S, Wang X P, et al. Advance in ground-based LAI measurement methods[J]. Journal of Huazhong Agricultural University, 2007, 26(2): 270-275.
[10] Lee K S, Cohen W B, Kennedy R E, et al. Hyperspectral versus multispectral data for estimating leaf area index in four different biomes[J]. Remote Sensing of Environment, 2004, 91(3):508-520.
[11] Soudani K, Francois C, Le Maire G, et al. Comparative analysis of IKONOS, SPOT, and ETM+data for leaf area index estimation in temperate coniferous and deciduous forest stands[J]. Remote Sensing of Environment, 2006, 102(1): 161-175.
[12] Meroni M, Colombo R, Panigada C. Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations[J]. Remote Sensing of Environment, 2004, 92(2): 195-206.
[13] 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.
[14] 丹利, 谢明. 基于MODIS资料的贵州植被叶面积指数的时空变化及其对气候的响应[J]. 气候与环境研究, 2009, 14(5): 455-464.Dan L, Xie M. The spatiotemporal variation of leaf area index in Guizhou and its response to climate based on MODIS data[J]. Climatic and Environmental Research, 2009, 14(5): 455-464.
[15] 罗宇翔, 向红琼, 郑小波, 等. MODIS植被叶面积指数对贵州高原山地气象条件的响应[J]. 生态环境学报, 2011, 20(1): 19-23.Luo Y X, Xiang H Q, Zheng X B, et al. The response of leaf area index of MODIS to mountainous meteorological conditions in Guizhou[J]. Ecology and Environmental Sciences, 2011, 20(1): 19-23.
[16] 王永前, 施建成, 蒋玲梅, 等. 利用遥感数据分析青藏高原水热条件对叶面积指数的影响[J]. 国土资源遥感, 2008, 78(4): 81-86.Wang Y Q, Shi J C, Jiang L M, et al. The application of remote sensing data to analyzing the influence of water/thermal conditions on LAI of Qinghai-Tibet Plateau[J]. Remote Sensing For Land & Resources, 2008, 78(4): 81-86.
[17] 吴国训, 阮宏华, 李显风, 等. 基于MODIS反演的2000—2011年江西省植被叶面积指数空变化特征[J].南京林业大学学报: 自然科学版, 2013, 37(1): 11-17.Wu G X, Ruan H H, Li X F, et al. Spatial-temporal variations of leaf area index(LAI)in Jiangxi province during 2000—2011 based on MODIS data[J]. Journal of Nanjing Forestry University: Natural Sciences Edition, 2013, 37(1): 11-17.
[18] 柳艺博, 居为民, 陈镜明, 等. 2000—2010 年中国森林叶面积指数时空变化特征[J]. 科学通报, 2012, 57(16): 1435-1445.Liu Y B, Ju W M, Chen J M, et al. Spatial and temporal variations of forest LAI in China during 2000—2010[J]. Chinese Science Bulletin, 2012, 57(16): 1435-1445.
[19] 黄玫, 季劲钧. 中国区域植被叶面积指数时空分布——机理模型模拟与遥感反演比较[J]. 生态学报, 2010, 30(11): 3057-3064.Huang M, Ji J J. The spatial-temporal distribution of leaf area index in China: a comparison between ecosystem modeling and remote sensing reversion[J]. Acta Ecologica Sinica, 2010, 30(11): 3057-3064.
[20] 肖志强, 王锦地, 王觾森. 中国区域MODIS LAI产品及其改进[J]. 遥感学报, 2008, 12(6): 993-1000.Xiao Z Q, Wang J D, Wang Y S. Improvement of MODIS LAI product in China[J]. Journal of Remote Sensing, 2008, 12(6): 993-1000.
[21] 曾也鲁, 李静, 柳钦火. 全球 LAI 地面验证方法及验证数据综述[J]. 地球科学进展, 2012, 27(2): 165-174.Zeng Y L, Li J, Liu Q H. Global LAI ground validation dataset and product validation framework[J]. Advances in Earth Science, 2012, 27(2): 165-174.
[22] 张杰, 张强, 李栋梁, 等. 不同植被 LAI 的 MODIS 反演及其在青藏高原东部的应用[J]. 高原气象, 2008, 27(4):904-910.Zhang J, Zhang Q, Li D L, et al. MODIS retrieval of different vegetation LAI and its application to the east of Qinghai-Xizang Plateau[J]. Plateau Meteorology, 2008, 27(4): 904-910.

Last Update: 2015-01-31