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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (1) : 192-198     DOI: 10.6046/gtzyyg.2017.01.29
Technology Application |
Temporal and spatial variation analysis of vegetation cover in the Loess Plateau from 2001 to 2014
LIU Zhe, QIU Bingwen, WANG Zhuangzhuang, QI Wen
National Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou 350002, China
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To explore the changes of time and space of the Loess Plateau vegetation status is of great significance for vegetation restoration in this region. Two indexes were established on the basis of the MODIS-EVI2 sequence data in the Loess Plateau region from 2001 to 2014 to reflect vegetation cover state from different sights. The first one is density of vegetation cover(DVC), and the second one is time of vegetation cover(TVC). Then these two indexes were analyzed with trend analysis method and breakpoint analysis method. Finally the spatial and temporal evolution of vegetation cover in the Loess Plateau in the past 14 years was obtained. Some results have been obtained:① Vegetation cover in the Loess Plateau increased from northwest to southeast, and the vegetation cover in the whole region grew faster than from 1986 to 2006. ② The rising trends of TVC and DVC areas were 43.04% and 32.57% of the whole study area, and the most prominent change happened during 2006-2007 and 2011-2012. The declining trends of TVC and DVC areas were 2.92% and 5.68% of the whole study area. The changed farming areas were mainly affected by the early stage of returning farmland to forest. The results show that the policy of returning farmland to forest and windbreak in recent years has made an obvious effect.

Keywords high resolution satellite image      vehicle detection      symmetrical image      AdaBoost algorithm     
:  TP79  
Issue Date: 23 January 2017
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HUANG Huixian
TAN Yuan
WANG Chengxiao
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CHEN Ren,HUANG Huixian,TAN Yuan, et al. Temporal and spatial variation analysis of vegetation cover in the Loess Plateau from 2001 to 2014[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 192-198.
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[1] Feng Z D,Tang L Y,Wang H B,et al.Holocene vegetation variations and the associated environmental changes in the western part of the Chinese Loess Plateau[J].Palaeogeography,Palaeoclimatology,Palaeoecology,2006,241(3/4):440-456.
[2] 信忠保,许炯心.黄土高原地区植被覆盖时空演变对气候的响应[J].自然科学进展,2007,17(6):770-778. Xin Z B,Xu J X.Loess Plateau vegetation spatial and temporal evolution of the response of the climate[J].Progress in Natural Science Materials,2007,17(6):770-778.
[3] 张宝庆,吴普特,赵西宁.近30 a黄土高原植被覆盖时空演变监测与分析[J].农业工程学报,2011,27(4):287-293. Zhang B Q,Wu P T,Zhao X N.Detecting and analysis of spatial and temporal variation of vegetation cover in the Loess Plateau during 1982-2009[J].Transactions of the CSAE,2011,27(4):287-293.
[4] 李双双,延军平,万佳.近10年陕甘宁黄土高原区植被覆盖时空变化特征[J].地理学报,2012,67(7):960-970. Li S S,Yan J P,Wan J.The spatial-temporal changes of vegetation restoration on Loess Plateau in Shaanxi-Gansu-Ningxia region[J].Acta Geographica Sinica,2012,67(7):960-970.
[5] 周晓红,赵景波.黄土高原气候变化与植被恢复[J].干旱区研究,2005,22(1):116-119. Zhou X H,Zhao J B.Climatic change and vegetation restoration on the Loess Plateau[J].Arid Zone Research,2005,22(1):116-119.
[6] Jiang Z Y,Huete A R,Didan K,et al.Development of a two-band enhanced vegetation index without a blue band[J].Remote Sensing of Environment,2008,112(10):3833-3845.
[7] 李明,沈润平,王迪,等.基于像元质量分析的S-G滤波重建MODIS-NDVI[J].生态与农村环境学报, 2015,31(3):425-431. Li M,Shen R P,Wang D,et al.Reconstruction of MODIS-NDVI using S-G filtering based on pixel quality analysis[J].Journal of Ecology and Rural Environment,2015,31(3):435-431.
[8] 梁爽,彭书时,林鑫,等.1982-2010年全国草地生长时空变化[J].北京大学学报:自然科学版,2013,49(2):311-320. Liang S,Peng S S,Lin X,et al.NDVI-based spatial-temporal change in grassland growth of China from 1982 to 2010[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2013,49(2):311-320.
[9] 郭铌,李明轩,马胜萍.气象卫星遥感监测甘肃河西绿洲植被变化[J].干旱气象,2002,20(1):33-35. Guo N,Li M X,Ma S P.Oasis vegetation change in Gansu Hexi area by meteorological satellite monitoring[J].Gansu Meteorology,2002,20(1):33-35.
[10] 许炯心,信忠保.从黄土高原植被指数数据中获取森林覆盖率信息[J].中国水土保持科学,2010,8(4):7-12. Xu J X,Xin Z B.Extracting the information of forest coverage from normal difference vegetation index data of Loess Plateau[J].Science of Soil and Water Conservation,2010,8(4):7-12.
[11] Helsel D R,Frans L M.Regional Kendall test for trend[J].Environmental Science and Technology,2006,40(13):4066-4073.
[12] 韦振锋,王德光,张翀,等.1999-2010年中国西北地区植被覆盖对气候变化和人类活动的响应[J].中国沙漠,2014,34(6):1665-1670. Wei Z F,Wang D G,Zhang C,et al.Response of vegetation cover to climate change and human activities in Northwest China during 1999-2010[J].Journal of Desert Research, 2014,34(6):1665-1670.
[13] 蔡博峰,于嵘.基于遥感的植被长时序趋势特征研究进展及评价[J].遥感学报,2009,13(6):1170-1186. Cai B F,Yu R.Advance and evaluation in the long time series vegetation trends research based on remote sensing[J].Journal of Remote Sensing,2009,13(6):1170-1186.
[14] 陈广才,谢平.基于启发式分割算法的水文变异分析研究[J].中山大学学报:自然科学版,2008,47(5):122-125. Chen G C,Xie P.Change point analysis of hydrologic time series based on heuristic segmentation method[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2008,47(5):122-125.
[15] 龚志强,封国林,万仕全,等.基于启发式分割算法检测华北和全球气候变化的特征[J].物理学报,2006,55(1):477-484. Gong Z Q,Feng G L,Wan S Q,et al.Analysis of features of climate change of Huabei area and the global climate change based on heuristic segmentation algorithm[J].Acta Physica Sinica,2006,55(1):477-484.
[16] 王强,张勃,戴声佩,等.基于GIMMS AVHRR NDVI数据的三北防护林工程区植被覆盖动态变化[J].资源科学,2011,33(8):1613-1620. Wang Q,Zhang B,Dai S P,et al.Dynamic changes in vegetation coverage in the Three-North Shelter Forest program based on GIMMS AVHRR NDVI[J].Resources Science,2011,33(8):1613-1620.
[17] 田均良,刘国彬.黄土高原退耕还林工程中的现存问题及有关建议[J].水土保持通报,2004,24(1):63-65,78. Tian J L,Liu G B.Existing problems and suggestions on program for conversion of farmland to forestland or grassland in Loess Plateau[J].Bulletin of Soil and Water Conservation, 2004,24(1):63-65,78.
[18] 王耀宗,常庆瑞,屈佳,等.陕北黄土高原土地利用/覆盖变化及生态效应评价[J].水土保持通报,2010,30(4):134-137,142. Wang Y Z,Chang Q R,Qu J,et al.Assessment on ecological effects of land use/cover changes on the Loess Plateau of north shaanxi province[J].Bulletin of Soil and Water Conservation,2010,30(4):134-137,142.
[19] 闫慧敏,刘纪远,曹明奎.近20年中国耕地复种指数的时空变化[J].地理学报,2005,60(4):559-566. Yan H M,Liu J Y,Cao M K.Remotely sensed multiple cropping index variations in china during 1981-2000[J].Acta Geographica Sinica,2005,60(4):559-566.

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