摘要
应用遥感技术进行黄河流域退耕还林还草研究。对LANDSATTM图像进行解译判读,建立了反映黄河流域20世纪90年代末期土地利用与土壤侵蚀情况的1:10万比例尺的土地利用和土壤侵蚀数据库。对旱地的信息进行分层提取,通过空间叠加分析对旱地分布的生态环境背景进行了分析,认为在黄河流域进行退耕还林还草是非常必要的。根据黄河流域旱耕地分布的坡度大小与水土流失情况,提出了退耕压力分级方案,依照退耕压力大小来确定退耕的区域以及先后顺序,为定性定量研究黄河流域退耕还林还草提供了一种思路和方法。
Remote sensing technology, with its high efficiency, objectivity, and low expense, has inestimable advantages compared with traditional methods for monitoring the return of farmlands to forests or grasslands. A database of land use and soil erosion obtained from expert analysis of LANDSAT TM images of the Yellow River Basin was used to identify dry farmland which was then combined with environmental information to evaluate the soil erosion for farmlands with different slopes. The spatial distribution characteristcis of dry farmlands with different slopes and soil erosion rates was then used to develop stress index models to find suitable farmland areas that can be returned to forests or grasslands. This quantitative approach for identifying farmland which can be returned to forest or grassland can help governments develop effective farmland recovery plans.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第3期306-309,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家"九七三"重大基础研究项目(G1999043607)
关键词
地理信息系统
退耕还林还草
遥感
黄河流域
GIS
returning farmland to forests or grassland
remote sensing
Yellow River Basin
