Land Cover Changes on Different Topographic Grades in Yuli County

WANG Qian-feng; ZHOU Ke-fa; SUN Li; QIN Yan-fan; LI Guang-yu; WANG Jin-lin

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Land Cover Changes on Different Topographic Grades in Yuli County

- Land Cover Changes on Different Topographic Grades in Yuli County
- Bulletin of Soiland Water Conservation Vol. 30, Issue 4, Pages: 57-61(2011)
- 作者机构：
  
  1. 中国科学院新疆生态与地理研究所新疆矿产资源研究中心,新疆,乌鲁木齐,830011
  2. 荒漠与绿洲生态国家重点实验室,新疆,乌鲁木齐,830011
  3. 中国科学院研究生院,北京,100049
  4. 民政部教育部减灾与应急管理研究院,北京,100875
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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WANG Qian-feng, ZHOU Ke-fa, SUN Li, et al. Land Cover Changes on Different Topographic Grades in Yuli County[J]. Bulletin of Soiland Water Conservation, 2011, 30(4): 57-61.
DOI：

WANG Qian-feng, ZHOU Ke-fa, SUN Li, et al. Land Cover Changes on Different Topographic Grades in Yuli County[J]. Bulletin of Soiland Water Conservation, 2011, 30(4): 57-61. DOI：

摘要

选取新疆尉犁县作为研究区，以1980年和2007年两个时相Landsat MSS/TM遥感影像及1∶5万地形图为主要信息源，利用遥感图像处理技术和GIS空间分析技术，定量分析了研究区1980—2007年近30 a地形(高程和坡度)分级下的土地覆被时空格局变化特征。研究结果表明，耕地、林草地、水域及居民点和工矿用地变化明显，耕地主要是由林地草地转入，水域主要转为林草地；居民点和工矿用地向高海拔区域扩张；耕地与居民点和工矿用地在坡度分布上具有耦合性，二者变化趋势趋于一致，均向坡度增大的区域蔓延；林草地在坡度小于3°区域面积增加明显，而在坡度大于3°区域面积有减少趋势；水域面积整体呈缩减趋势。说明利用地形图和社会经济辅助数据来预测区域内土地覆被空间分布已成为可能。

Abstract

Based on two Landsat MSS/TM remote sensing images from 1980 to 2007 and 150000 topographic map

a quantitative research on land cover spatial temporal changes pattern of different elevation and slope grades of Yuli County during 1980-2007 was conducted with remote sensing and geographic information system technologies.Results showed that (1)Cropland

wood-grassland

water body

built up land changed prominently during the past three decades

cropland was mainly converted from wood-grassland

water body was mainly transferred into wood-grassland;(2)Built-up land expanded in high elevation area;cropland and built-up land distributed consistently on each gradient

change direction of both land covers was identical

and expanded into the region of steeper slope;(3)Wood-grassland increased dramatically at locations below 3

but it showed a decline trend at position above 3;(4)Water body kept shrink across the whole region.It is feasible to predict the spatial distribution of land cover based on topographic data

remote sensing images and social economic data.

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