摘要
遥感技术以其宏观快速、准确、准实时、周期性重复观测等优点在区域土地利用/覆被变化的监测中具有明显的优势。在漳州土地覆被分类体系基础上,应用2000年的LandsatTM和2003年的SPOT影像进行配准与融合,并采用自动提取技术发现变化图斑,运用光谱直接比较法和分类后比较法提取变化图斑,经外业核查,并辅以土地详查和变更资料,对变化图斑进行人机交互处理,确定其变化类型、位置和范围。结果表明,果园、迹地、建设用地的范围在扩大,水田、旱地、未利用土地的范围在缩小,水域、林地等面积变化不大。在减少的耕地中,水田一般转变为果园、建设用地,而旱地一般转变为果园、林地、未利用地。漳州土地覆被变化的一个重要特征是果园的面积在不断地扩大,其主要的来源是耕地和部分未利用地。最后,结合漳州市社会经济统计资料对其变化驱动因素进行探讨与分析,认为其主要驱动因素是人口增加、城镇化的加快、工业的发展、特色规模农业的形成和政府政策的导向。
Remote sensing technique has predominance such as quick,accuracy,immediately,short periodicity etc.,which makes it play an important role in monitoring and detecting regional land use/cover change.Based on the classification system of land cover,the images of 2000's TM and 2003's SPOT in Zhangzhou are rectified and fused.After the technology of automatic extracting is applied,the two methods of image-to-image and post-classification comparison are used to extract the changed pixel.With the help of investigation outdoors and data about the land and the land change of Zhangzhou,the changed pixel is processed by interaction,and then its type,site and the extent are identified.Results indicate that the areas of orchard land,burn off land,urban built-up land are expanding,and that of paddy land,dry land,undeveloped land are shrinking,while water body and forest land change little.Generally,paddy is mainly transformed to orchard land and urban built-up land,while dry land is mainly to orchard land,forest land and undeveloped land in the decreasing arable land areas.One of the characteristics is that orchard land area is adding,which mainly derived from arable land and undeveloped land.At the end,socio-economic data are integrated with land cover change to explore and discuss the inherent mechanism of driving forces in Zhangzhou city.The ultimate cause is due to fast increasing of population,urbanization,development of industry,characteristic agriculture and changes in policy.
出处
《水土保持研究》
CSCD
北大核心
2005年第3期154-157,共4页
Research of Soil and Water Conservation
基金
福建省自然科学基金"福建省土地利用/覆盖变化(LUCC)遥感分析研究"(D0210010)
国家"十五"科技攻关项目(2001BA606A-04)资助