Spatio-temporal Analysis of Vegetation Cover Change Based on MODIS data in Horqin District

LI Sheng-yong , WANG Xiao-qing , LI Biao

Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (2) : 118-122.

PDF(1942 KB)
PDF(1942 KB)
Journal of Changjiang River Scientific Research Institute ›› 2016, Vol. 33 ›› Issue (2) : 118-122. DOI: 10.11988/ckyyb.20141015
INFORMATION TECHNOLOGY APPLICATION

Spatio-temporal Analysis of Vegetation Cover Change Based on MODIS data in Horqin District

  • LI Sheng-yong1 , WANG Xiao-qing2 , LI Biao3
Author information +
History +

Abstract

China is a big country with broad vegetation cover and superior natural environment. As time changes, however, ecological system of part areas is seriously destructed, so it is very important to research on the change of spatial pattern of vegetation. Horqin district of Tongliao, located in Inner Mongolia, is taken as an example in this paper. By employing theories of time series, average method and interpolation method, and according to MODIS remote sensing data from 2004 to 2013 in the area, we analyze the spatial and temporal variations of NDVI in Horqin district, and conclude the vegetation cover in the district in the recent decade: 1) vegetation cover of the district shows tendency of increasing, with the increasing rate of 0.033/a, and good vegetation cover is in the following years: 2005, 2010, 2011, 2012 and 2013; 2) vegetation cover of west Liaohe river watershed is the highest among the whole Horqin district; 3) summer is the largest contributor to vegetation cover, with the increasing rate of 0.002 8/a. The results offer reference for theoretical study and decision making of ground ecological environment in Horqin district.

Key words

MODIS Data / Horqin district / vegetation cover / NDVI / spatio-temporal analysis / mean annual rate of change

Cite this article

Download Citations
LI Sheng-yong , WANG Xiao-qing , LI Biao. Spatio-temporal Analysis of Vegetation Cover Change Based on MODIS data in Horqin District[J]. Journal of Changjiang River Scientific Research Institute. 2016, 33(2): 118-122 https://doi.org/10.11988/ckyyb.20141015

References

[1] 魏丰良.基于多尺度遥感的科尔沁沙地植被空间格局及其影响因子辨识研究[D].呼和浩特:内蒙古农业大学,2012.
[2] SCHLESINGER W H,REYNOLDS J F,CUNNINGHAM G L,et al.Biological Feedbacks in Global Desertification[J].Science,1990, 247:1043-1048.
[3]ZHU Z,CHEN G S.The Sandy Desertification in China[M].Beijing: Science Press,1994: 250-268.
[4] LIU Z, YAN Q, LI X, et al. Seed Mass and Shape, Germination and Plant Abundance in A Desertified Grassland in Northeastern Inner Mongolia, China [J].Journal of Arid Environments,2007, 69 (2):198 - 211.
[5] LI S G, HARAZONO Y, ZHAO H L, et al. Micrometeorological Changes Following Establishment of Artificially Established Artemisia Vegetation on Desertified Sandy Land in the Horqin Sandy Land, China and Their Implication on Regional Environmental Change[J].Journal of Arid Environments,2002,52(1):101-119.
[6] JIANG D M, LIU Z M, KOU Z W. Prospect of the Study on Desertification and Its Restoration of Keerqin Sandy Land[J]. Chinese of Applied Journal Ecology,2002,13(12):1695 - 1698.
[7] BAGAN H, TAKEUCHI W,KINOSHITA T, et al.Land Cover Classification and Change Analysis in the Horqin Sandy Land From 1975 to 2007[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2010,3(2):168 -177.
[8] 盛永伟,陈维英,肖乾广,等.利用气象卫星植被指数进行我国植被的宏观分类[J].科学通报,1995,40(1):68-71.
[9] 张 旭.EOS/MODIS 影像处理及其在塔里木河下游植被变化中的应用[D].乌鲁木齐:新疆大学,2006.
[10]马志勇,张 慧,张军海.基于 MODIS 杭州地区植被变化分析[J].安徽农业科学, 2006,34(18): 4618-4619.
[11]郭广猛,杨 丽,谢高地.泾河流域近五年来植被变化分析[J].资源科学,2005,27(4): 22-25.
[12]张 雷.宁夏全区的植被生态变化规律及其影响因素的遥感研究[D].北京:中国地质大学,2006.
[13]穆少杰,李建龙,陈奕兆,等.2001—2010年内蒙古植被覆盖度时空变化特征[J].地理学报,2012,67(9):1255-1268.
[14]KAWABATA A, ICHII K,YAMAGUCHI Y. Global Monitoring of the Interannual Changes in Vegetation Activities Using NDVI and Its Relationships to Temperature and Precipitation[J].International Journal of Remote Sensing,2001,22(7): 1377-1382.
[15]LUCHT W, PRENTICE I C, MYNENI R B, et al. Climatic Control of the High-latitude Vegetation Greening Trend and Pinatubo Effect[J].Science,2002,296:1687-1689.
[16]TUCKER J. Red and Photographic Infrared Linear Combinations for Monitoring Vegetation[J].Remote Sensing of the Environment,1979,8(2):127-150.
[17]WANG X H, PIAO S L,CIAISB P, et al. Spring Temperature Change and Its Implication in the Change of Vegetation Growth in North America from 1982 to 2006[J]. Proceedings of the National Academy of Sciences of the United States of America,2011,108(4): 1240-1245.
[18]红 梅.科尔沁地区近三百年人口变化及其效应研究[D].呼和浩特:内蒙古师范大学,2006.
[19]于金媛,田荣艳,李 新,等.基于MODIS MOD13Q1的植被变化研究:以西藏墨竹工卡为例[J].安徽农业科学,2013,41(8):3731-3732.
[20]方红亮,田庆久.高光谱遥感在植被监测中的研究综述[J].遥感技术与应用,1998,13(1):62-69.
[21]赵 娟.基于MODIS NDVI的陕西省植被覆盖变化研究[D].西安:西安科技大学,2013.
[22]曹云锋,王正兴,邓芳萍.3种滤波算法对NDVI高质量数据保真性研究[J].遥感技术与应用,2010,25(1):118-125.
[23]王海军.基于GIS与RS的中国西北地区NDVI时空变化特征及其对区域气候变化的响应[D].兰州:西北师范大学,2010.
[24]马 聪,武文波.阜新地区植被覆盖度变化提取分析[J].测绘与空间地理信息,2010,33(1):77-80.
PDF(1942 KB)

Accesses

Citation

Detail

Sections
Recommended

/