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  • CN 62-1070/P
  • ISSN 1000-694X
  • 双月刊 创刊于1981年
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生态与经济

基于多尺度遥感数据的塔里木河干流地区植被覆盖动态

  • 郭辉 ,
  • 黄粤 ,
  • 李向义 ,
  • 包安明 ,
  • 宋洋 ,
  • 孟凡浩
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  • 1. 中国科学院新疆生态与地理研究所 荒漠与绿洲生态国家重点实验室, 新疆 乌鲁木齐 830011;
    2. 中国科学院新疆生态与地理研究所 策勒荒漠草地生态系统国家野外观测研究站, 新疆 乌鲁木齐 830011;
    3. 中国科学院大学, 北京 100049
郭辉(1991-),男,河南濮阳人,硕士研究生,主要从事生态、遥感与地理信息系统应用。E-mail:xjguohui@hotmail.com

收稿日期: 2015-06-17

  修回日期: 2015-10-12

  网络出版日期: 2016-09-20

基金资助

中国科学院科技服务网络计划项目(KFJ-EW-STS-005);中国科学院战略性先导科技专项(XDA05050104)

Dynamic Changes of Fractional Vegetation Cover along the Mainstream of the Tarim River

  • Guo Hui ,
  • Huang Yue ,
  • Li Xiangyi ,
  • Bao Anming ,
  • Song Yang ,
  • Meng Fanhao
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  • 1. State Key Laboratory of Desert and Oasis Ecology, Urumqi 830011, China;
    2. Cele National Station of Observation & Research for Desert Grassland Ecosystem, Xinjiang Institute of Ecology and Geography, Chinese academy of Sciences, Urumqi 830011, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2015-06-17

  Revised date: 2015-10-12

  Online published: 2016-09-20

摘要

利用地面观测数据,Landsat TM和MODIS数据,基于尺度上推的研究思路,采用修正的三波段最大梯度差模型反演植被覆盖度,分析了塔里木河干流地区2000-2013年植被覆盖度时空分布及其动态变化特征。结果表明:(1)地面观测数据、Landsat TM与MODIS数据相结合进行尺度上推,尺度转换相对误差控制在4%以内,可以实现分析大范围长时间序列植被变化;(2)塔里木河干流区域植被覆盖度年内最大值出现在7、8月,2000-2013年平均植被覆盖度变化整体上呈现增长的趋势,上游年均植被覆盖度18.67%~23.67%,中游10.6%~12.44%,下游4.7%~6%,但呈现两段式发展(2000-2006年显著提高,2006-2013年小伏波动变化);(3)塔里木河干流区域植被覆盖度空间差异明显,上游植被覆盖度增长速率最高,中游次之,下游增长速率最小。上游植被覆盖度年增长速率为0.37%,且增长趋势显著;中游年增长速率为0.06%,没有显著的变化趋势;下游年增长速率为0.05%,增长变化显著区域位于河道或稍远离河道附近及台特玛湖附近。

本文引用格式

郭辉 , 黄粤 , 李向义 , 包安明 , 宋洋 , 孟凡浩 . 基于多尺度遥感数据的塔里木河干流地区植被覆盖动态[J]. 中国沙漠, 2016 , 36(5) : 1472 -1480 . DOI: 10.7522/j.issn.1000-694X.2015.00147

Abstract

This paper, by using ground observation data with Landsat TM data and MODIS data, based on upscaling method,employing the modified three-band maximal gradient difference model which reverses vegetation fractional cover, analyzed the spatial-tempo change characters as well as dynamic changes of vegetation fractional cover on the mainstream of the Tarim River during 2000-2013. The result indicated that:(1) The method of upscaling combined with ground observation data, Landsat TM and MODIS data could realize the analysis of vegetation changes of a wide range during long time series, scale conversion error controlled within 4%; (2) The maximum value of vegetation fractional cover appeared in July and August within a year on the mainstream of the river, the annual average vegetation fractional cover changes overall showed a positive trends where the range of vegetation fractional cover between 18.67%-23.67% on the upper reaches, 10.6%-12.44% on the middle reaches, 4.7%-6% on the lower reaches. There was a remarkable increase during 2000-2006 and a small fluctuation during 2006-2013; (3) The fractional vegetation cover on the mainstream had a significant spatial variation. The upper reaches had a highest growth rate, followed by the middle reaches, the lower reaches had a minimum growth rate. The growth rate of upper reaches was 0.37%, the growth rate of the middle reaches was 0.06%, but there is no significant change trend in it, the growth rate of lower reaches wass 0.05%.

参考文献

[1] Salim H A,Chen X,Gong J.Analysis of Sudan vegetation dynamics using NOAA-AVHRR NDVI data from 1982-1993[J].Asian Journal of Earth Sciences,2008,1(1):1-15.
[2] Zurita-Milla R,Kaiser G,Clevers J,et al.Downscaling time series of MERIS full resolution data to monitor vegetation seasonal dynamics[J].Remote Sensing of Environment,2009,113(9):1874-1885.
[3] Peng J,Liu Z,Liu Y,et al.Trend analysis of vegetation dynamics in Qinghai Tibet Plateau using Hurst Exponent[J].Ecological Indicators,2012,14(1):28-39.
[4] Gitelson A A,Kaufman Y J,Stark R,et al.Novel algorithms for remote estimation of vegetation fraction[J].Remote Sensing of Environment,2002,80(1):76-87.
[5] Purevdorj T,Tateishi R,Ishiyama T,et al.Relationships between percent vegetation cover and vegetation indices.International[J].Journal of Remote Sensing,1998,19(18):3519-3535.
[6] Gutman G,Ignatov A.The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models[J].International Journal of Remote Sensing,1998,19(8):1533-1543.
[7] Hirano Y,Yasuoka Y,Ichinose T.Urban climate simulation by incorporating satellite-derived vegetation cover distribution into a mesoscale meteorological model[J].Theoretical and Applied Climatology,2004,79(3/4):175-184.
[8] 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.
[9] 陈建军,宜树华,任世龙,等.疏勒河上游高寒草地植被盖度反演及精度评价[J].草业科学,2014,31(1):56-65.
[10] 章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报:自然科学版,2001,37(3):402-408.
[11] 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.
[12] Roerink G,Menenti M,Soepboer W,et al.Assessment of climate impact on vegetation dynamics by using remote sensing[J].Physics and Chemistry of the Earth,2003,28(1):103-109.
[13] Asner G P,Elmore A J,Hughes R F,et al.Ecosystem structure along bioclimatic gradients in Hawai'i from imaging spectroscopy[J].Remote Sensing of Environment,2005,96(3):497-508.
[14] Stellmes M,Udelhoven T,Röder A,et al.Dryland observation at local and regional scale-comparison of Landsat TM/ETM+ and NOAA AVHRR time series[J].Remote Sensing of Environment,2010,114(10):2111-2125.
[15] 冯起,刘蔚,司建华,等.塔里木河流域水资源开发利用及其环境效应[J].冰川冻土,2004,26(6):682-690.
[16] 叶茂,徐海量,宋郁东.塔里木河流域水资源利用面临的主要问题[J].干旱区研究,2006,23(3):388-392.
[17] 杨光华,包安明,陈曦,等.气候和土地利用变化对塔里木河干流区植被覆盖变化的影响[J].中国沙漠,2010,30(6):1389-1397.
[18] 徐海量,宋郁东,王强,等.塔里木河中下游地区不同地下水位对植被的影响[J].植物生态学报,2004,28(3):400-405.
[19] 陈永金,陈亚宁,刘加珍.塔里木河下游植被覆盖度变化与地下水质关系[J].环境科学,2010,31(3):612-617.
[20] 陈亚宁.新疆塔里木河流域生态水文问题研究[M].北京:科学出版社,2010.
[21] 古丽·加帕尔,陈曦,包安明.干旱区荒漠稀疏植被覆盖度提取及尺度扩展效应[J].应用生态学报,2009,2(2):2925-2934.
[22] 李晓松,李增元,高志海,等.基于Hyperion植被指数的干旱地区稀疏植被覆盖度估测[J].北京林业大学学报,2010(3):95-100.
[23] 郭玉川,何英,李夏.基于MODIS的干旱区植被覆盖度反演及植被指数优选[J].国土资源遥感,2011,2:115-118.
[24] 王士飞,包安明,王永琴,等.水情波动下2006-2011年塔里木河下游植被变化研究[J].水土保持通报,2013,33(4):131-135.
[25] Thalen D C P,Ecology and utilization of desert shrub rangelands in Iraq[J].Journal of Range Management,1980,33(6):23-33.
[26] Jiapaer G,Chen X,Bao A.A comparison of methods for estimating fractional vegetation cover in arid regions[J].Agricultural and Forest Meteorology,2011,151(12):1698-1710.
[27] Zhao X,Tan K,Zhao S,et al.Changing climate affects vegetation growth in the arid region of the northwestern China[J].Journal of Arid Environments,2011,75(10):946-952.
[28] Du J,Shu J,Yin J,et al.Analysis on spatio-temporal trends and drivers in vegetation growth during recent decades in Xinjiang,China[J].International Journal of Applied Earth Observation and Geoinformation,2015,38:216-228.
[29] Keelling C D,Chin J F S,Whorf T P.Increased activity of northern vegetation inferred from atmospheric C0,measurements[J].Nature,1996,382:11.
[30] Zhou L,Tucker C,Kaufmann R,et al.Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999[J].Journal of Geophysical Research:Atmosopheres,2001,106(D17):20069-20083.
[31] 王进,刘湘,龚伟华,等.2008年塔里木河流域"四源一干"径流运行与河道断流成因分析[J].冰川冻土,2011,32(3):593-601.
[32] 黄粤,包安明,王士飞,等.间歇性输水影响下的2001-2011年塔里木河下游生态环境变化[J].地理学报,2013,68(9):1251-1262.
[33] Aishan T,Halik U,Cyffka B,et al.Monitoring the hydrological and ecological response to water diversion in the lower reaches of the Tarim River,Northwest China[J].Quaternary International,2013,311:155-162.
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