期刊文献+

近22年关中地区林草覆盖率时空动态研究 被引量:1

Temporal-spatial changes of the vegetation coverage in Guanzhong area,Shaanxi Province in recent 22 years
原文传递
导出
摘要 以关中地区遥感影像、数字高程、地貌类型等资料为依据,运用地学信息图谱理论和方法,在RS和GIS的支持下生成了关中地区1986~2007年林草覆盖率变化图谱,并从栅格、坡度带、地貌单元及行政区等多个尺度上分析了该区近二十二年来林草覆盖率的时空变化特征。研究表明:1986~2007年,关中地区林草覆盖率增加了15.25%,2000~2007年段增速约为1986~2000年段的2.60倍;各地貌单元林草覆盖率增幅表现为:山地>黄土梁峁>黄土塬>黄土台塬>平原;各坡度段的林草覆盖率增加,增速随坡度增大而加大;各地市林草覆盖率增速为:西安市>渭南市>咸阳市>铜川市>宝鸡市。研究区的林草植被覆盖率的时空变化特点是土地利用/覆被变化的结果,"退耕还林"政策的实施促使了该区林草覆被情况的改善。 Based on remote sensing images,digital elevation model(DEM),and other information of GuanZhong area,choosing some suitable models,using the theory of geographic information images and supported by RS and GIS,we analyzed the temporal-spatial changes of the vegetation coverage in different scales such as grid units,terrain units,slope units,and administrative units of Guanzhong area in recent 22 years.Study showed: In 1986-2007,the vegetation coverage of forest and grass in Guanzhong area increased by 15.25%,and the growth rate of the vegetation coverage in 2000-2007 was as about 2.60 times faster as that in 1986-2000.The vegetation coverage in all geomorphologic patterns increased,and the order of the growth rate was as follows: mountains loess mountain ridge loess tableland loess plateau plain.The vegetation coverage in all slope zones increased,whose growth rate expanded with the slope increasing.The vegetation coverage in all cities raised,and the order of the growth rate was as follows: Xi'an city Weinan city Xianyang city Tongchuan city Baoji city.Land use/cover change resulted in the temporal-spatial changes of vegetation coverage of Guanzhong area,and replacing farmland with forest helped the vegetation situation here better.
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2012年第3期122-126,共5页 Journal of Arid Land Resources and Environment
基金 国家自然科学基金(项目编号:40771019)资助
关键词 关中地区 GIS 植被覆盖率 图谱 时空动态 Guanzhong area GIS vegetation coverage image temporal-spatial change
  • 相关文献

参考文献14

二级参考文献139

共引文献687

同被引文献18

  • 1魏怀东,高志海,丁峰.甘肃省民勤县土地荒漠化动态监测研究[J].水土保持学报,2004,18(2):32-36. 被引量:28
  • 2张友静,高云霄,黄浩,任立良.基于SVM决策支持树的城市植被类型遥感分类研究[J].遥感学报,2006,10(2):191-196. 被引量:42
  • 3国家林业局.中国荒漠化和沙化状况公报[N].中国绿色时报,2011-1-5(1).
  • 4国家林业局.中国荒漠化和沙化状况公报[N].人民日报.2005-06-17(8).
  • 5Friedl M A, Strahler C E. Maximizing land cover classification accuracies produced by decision trees at continental to global scales[ J ]. IEEE Transactions on Geoscience Remote Sensing, 1997,37(2) :969-977.
  • 6Hanson M C, Dubayah R, DeFries R S. Classification Trees: an Alternative to Traditional Land Cover Classifiers [ J ]. Int J Re- mote Sens, 1996,17 (5) : 1075-1081.
  • 7Friedl M A, McIver D K, Hodges J C F, et al. Global Land Cov- er-Mapping from MODIS: Algorithms and Early Results[ J ]. Re- moteSens Environ ,2002,83 ( 1/2 ) :287-302.
  • 8Joy S M, Reich R M, Reynolds R T. A Non-parametric, Super- vised Classification of Vegetation Types on the Kaibab National Forest Using Decision Trees [ J]. Int J Remote Sens,2003,24 (9) :1835-1852.
  • 9Sesnie S E, Gessler P E, Finegan B, et al. Integrating Landsat TM and SRTM-DEM Derived Variables with Decision Trees for Habitat Classification and Change Detection in Complex Neotropi- cal Environments [ J ]. Remote Sens Environ, 2008,112 ( 5 ) : 2145-2159.
  • 10沈金祥,陈曦,杨辽,王杰,李宝明.额尔齐斯河-斋桑湖流域近20年来土地利用/土地覆被时空演变[J].干旱区地理,2010,33(2):189-195. 被引量:13

引证文献1

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部