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遥感技术与应用  2011, Vol. 26 Issue (4): 476-481    DOI: 10.11873/j.issn.1004-0323.2011.4.476
遥感应用     
基于MODIS的黄土高原土地荒漠化动态监测
贺振,贺俊平
(商丘师范学院环境与规划系,河南 商丘476000)
Desertification Monitoring of Loess Plateau based on MODIS
HE Zhen,HE Jun-ping
(Department of Environment and Planning,Shangqiu Normal University,Shangqiu 476000,China)
 全文: PDF(2609 KB)  
摘要:

以2001年和2009年8月MODIS卫星影像为数据源,基于归一化植被指数和像元二分原理,通过建立科学的荒漠化土地分类系统,对黄土高原地区近8 a的荒漠化土地进行了动态变化监测,分析了2个时期荒漠化土地的空间分布特征和面积变化情况。结果表明:黄土高原荒漠化土地面积整体呈明显的减少态势,但类型转化结构表明荒漠化土地强度却处于不断发展阶段。8 a间,极重度荒漠化土地面积增加了16.53 km2,增长率为28.36%,重度和中度荒漠化土地面积均有不同程度减少,分别减少了1.2×104 km2和7.0×104 km2,变化率分别为32.97%和29.19%;分别有9.0×104 km2和1.2×104 k2的轻度和潜在荒漠化土地转化为其他类型荒漠化土地,并分别增加了9.3×103 km2和7.3×104 km2,增长率分别为4.2%和57.3%。发展区面积为1.9×105 km2,稳定区面积为4.0×105 km2,逆转区面积为2.8×104 km2,发展区面积比逆转区面积大1.6×105 km2,表明黄土高原环境质量不断下降,荒漠化强度不断扩张的趋势。

关键词: MODIS荒漠化植被覆盖度黄土高原    
Abstract:

Based on the MODIS satellite image data in 2001 and 2009,dynamic change of desertification in loess plateau was studied by employing methods of normalized difference vegetation index and the dimidiate pixel model principle.It focused on analyzing of the spatial distribution of the different desertification degrees and change in the area during both the August 2001 and 2008 by establishing a scientific classification system of desertification.The results show that desertification land area in the loess plateau exhibits over all a decreasing tendency since recent eight years,but development intensity continuously increased.The very severe desertification land area increases by 16.53 km2 with the growth rate of 28.36%.The severe and moderate desertification area decreases by 1.2×104 km2 and 7.0×104 km2 with the change rate of 32.97%and 29.19% respectively.9.0×104 km2 moderate and 1.2×104 km2 potential desertification land are turned into other types of desertification,and increases by 9.3×103 km2 and 7.3×104 km2 with the growth rates of 4.2% and 57.3% respectively.The developing area is 1.9×105 km2,steady area is 4.0×105 km2 and the reverse area is 2.8×104 km2.The developing area is 1.6×105 km2 larger than the reverse area,indicates that the environmental quality is continuously decreased,and the desertification degree is still expanding.

Key words: MODIS    Desertification    Vegetation coverage    Loess plateau
收稿日期: 2011-01-24 出版日期: 2011-08-23
:  X 82  
基金资助:

2011年度河南省科技攻关重点项目(112102210209);2011年度河南省教育厅自然科学研究计划项目(2011B170007);2010年度商丘师范学院青年科研基金项目(2010QN18);2010年度商丘师范学院青年骨干教师科研项目。

作者简介: 贺振(1977-),男,山西忻州人,博士,副教授,主要从事遥感和地理信息系统应用研究。Email:hezh911@yeah.net。
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引用本文:

贺振,贺俊平. 基于MODIS的黄土高原土地荒漠化动态监测[J]. 遥感技术与应用, 2011, 26(4): 476-481.

HE Zhen,HE Jun-ping. Desertification Monitoring of Loess Plateau based on MODIS. Remote Sensing Technology and Application, 2011, 26(4): 476-481.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.4.476        http://www.rsta.ac.cn/CN/Y2011/V26/I4/476

[1]UNCCD.United Nations Convention to Combat Desertification in Those Countries Experiencing Serious Drought and/or Desertification Particularly in Africa[EB/OL].http://www.unccd.int/convention/text/convention.php,1994.
[2]Yang Xiuchun,Zhu Xiaohua,Xu Bin,et al.Research on Land Desertification of Northwestern Liaoning and the Progress[J].Journal of Catastrophology,2008,23(2):117-122.[杨秀春,朱晓华,徐斌,等.辽西北地区土地荒漠化研究及其进展[J].灾害学,2008,23(2):117-122.]
[3]Zhu Lieke.Dynamic Study of Desertification and Sandy Desertification in China[M].Beijing:China Agriculture Press,2006.[祝列克.中国荒漠化和沙化动态研究[M].北京:中国农业出版社,2006.]
[4]Zhou Zhongxue,Sun Hu,Li Zhipei.Study on Mechanism of Water-eroded Desertification and Its Control in the Loess Plateau[J].Arid Zone Research,2005,22(1):29-34.[周忠学,孙虎,李智佩.黄土高原水蚀荒漠化发生特点及其防治模式[J].干旱区研究,2005,22(1):29-34.]
[5]Wei Li,Zhao Jun,Pan Jinghu,et al.A Research of Net Primary Productivity Model of Grassland based on MODIS Data in the Loess Plateau of China[J].Remote Sensing Technology and Application,2009,24(5):660-664.[韦莉,赵军,潘竞虎,等.基于MODIS数据的黄土高原草地净初级生产力的估算研究[J].遥感技术与应用,2009,24(5):660-664.]
[6]Gao Huijun,Jiang Qigang,Huo Xiaobin.Remote Sensing Research of Sandy Desertification along the Great Wall in Northern Shaanxi[J].Journal of Natural Resources,2005,20(3):471-475.[高会军,姜琦刚,霍晓斌.陕北长城沿线沙质荒漠化遥感研究[J].自然资源学报,2005,20(3):471-475.]
[7]Wang Tao.Review and Prospect of Research on Ossification and Desertification in Arid Regions[J].Journal of Desert Research,2009,29(1):1-9.[王涛.干旱区绿洲化、荒漠化研究的进展与趋势[J].中国沙漠,2009,29(1):1-9.]
[8]Li Xiaoqin,Zhang Zhende,Zhang Peimin.Remote Sensing Survey and Monitoring of Desertification in Golmud Area[J].Remote Sensing for Land & Resources,2006,2:61-63.[李晓琴,张振德,张佩民.格尔木土地荒漠化遥感动态监测研究[J].国土资源遥感,2006,2:61-63.]
[9]Yang X,Zhang K,Jia B,et al.Desertification Assessment in China:an Overview[J].Journal of Arid Environments,2005,63(2):517-531.
[10]Valle H F D,Elissalde N O,Gagliardini D A,et al.Status of Desertification in the Patagonian Region:Assessment and Mapping from Satellite Imagery[J].Arid Land Research and Management,1998,12(2):95-121.
[11]Tripathy G K,Ghosh T K,Shah S D.Monitoring of Desertification Process in Karnataka State of India Using Multi-temporal Remote Sensing and Ancillary Information Using GIS[J].International Journal of Remote Sensing,1996,17(12):2243-2257.
[12]Liu H J,Zhou C H,Cheng W M,et al.Monitoring Sandy Desertification of Otindag Sandy Land based on Multi-date Remote Sensing Images[J].Acta Ecologica Sinica,2008,28(2):627-635.
[13]Symeonakis E,Drake N.Monitoring Desertification and Land Degradation over Sub-Saharan Africa[J].International Journal of Remote Sensing,2004,25(3):573-592.
[14]Zhang Qingfeng,Wu Faqi.Eco-economic Regionalization of the Loess Plateau[J].Chinese Journal of Eco-agriculture,2009,17(5):1023-1028.[张青峰,吴发启.黄土高原生态经济分区的研究[J].中国生态农业学报,2009,17(5):1023-1028.]
[15]Tian Fengxia,Zhao Chuanyan,Feng Zhaodong.Spatial Distribution of Precipitation in the Loess Plateau Region[J].Journal of Lanzhou University(Natural Sciences),2009,45(5):1-5.[田风霞,赵传燕,冯兆东.黄土高原地区降水的空间分布[J].兰州大学学报(自然科学版),2009,45(5):1-5.]
[16]Xing Zhurong,Feng Yougui,Yang Guijun,et al.Method of Estimating Vegetation Coverage based on Remote Sensing[J].Remote Sensing Technology and Application,2009,24(6):849-854.[邢著荣,冯幼贵,杨贵军,等.基于遥感的植被覆盖度估算方法述评[J].遥感技术与应用,2009,24(6):849-854.]
[17]Wang Jian,Li Wenjun,Song Dongmei,et al.The Analysis of Land Desertification Changing of Minqin County in Recent 30 Years[J].Journal of Remote Sensing,2004,8(3):282-288.[王建,李文君,宋冬梅,等.近30年来民勤土地荒漠化变化遥感分析[J].遥感学报,2004,8(3):282-288.]
[18]Ding Guodong,Zhao Tingning,Fan Jianyou,et al.Analysis on Development of Desertification Assessment Indicator System[J].Journal of Beijing Forestry University,2004,26(1):92-96.[丁国栋,赵廷宁,范建友,等.荒漠化评价指标体系研究现状述评[J].北京林业大学学报,2004,26(1):92-96.]

 

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