PDF HTML阅读 XML下载 导出引用 引用提醒 全球土地计划第二次开放科学大会(GLP 2nd Open Science Meeting)会议述评 DOI: 10.5846/stxb201405050890 作者: 作者单位: 山西农业大学,山西农业大学 作者简介: 通讯作者: 中图分类号: 基金项目: 山西省回国留学人员科研资助项目(2013-重点7);山西省社会发展科技攻关项目(20130313007-3);山西农业大学科技创新基金(201218)项目资助 New Approach and New Ways in Land Change study-Conference Review of GLP 2nd Open Science Meeting Author: Affiliation: Shanxi Agricultural University,Shanxi Agricultural University Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:全球土地计划第二次开放科学大会于2014年3月19日至21日在德国柏林举行,来自世界50个国家的650位学者参加了大会,大会主题为“土地变化:全球挑战与地方现实”。大会分四大主题进行,设103个分会场,以口头报告、快速演讲、展板等形式展开。有关“土地变化再思考”这一主题的探讨,主要围绕土地变化监测、土地变化数据集、土地变化模型构建、遥感技术的应用四方面展开,强调土地变化研究中新技术、新方法的使用,展示了不同国家在土地变化研究中的最新研究方法与研究成果,提出未来土地变化研究面临的机遇和挑战。大会对我国土地变化研究的启示主要有以下几方面:(1)引入多类型数据源监测我国土地利用变化,以适应不同尺度、不同类型、不同目标的土地变化研究;(2)加强国内土地变化数据集的建设,避免数据优劣共存、系统性差、类型不全面等问题;(3)加强土地变化模型构建,改进数据输入、加强模型验证、提高模型预测精度;(4)加强卫星遥感技术的应用,使不同空间尺度、不同时间尺度遥感数据和地方数据相结合,加强数据分析与处理能力。 Abstract:Global Land Project 2nd Open Science Meeting had took place in Berlin, from 19-21 March 2014. There were 650 participants from 50 countries met in the meeting and the theme of this meeting was "Land Transformations: between global challenges and local realities’. The meeting has four main issues and 103 sessions, and has oral presentations, flash talks and poster presentations. One of the main issues of this meeting is “Rethinking land change transitions”, and they discussed that on land change monitoring, land use dataset, land use modeling and remote sensing underlining the new approach, showing the current achievement, presenting the opportunity and challenge. There are four enlightenments of this conference for our country: (1) Enhancing the technicality of land change and land cover change monitoring, using various kinds of datasets to fit different scales, types and aims. (2)Enhancing datasets building, avoiding the mixing of good data and bad data, making dataset is systemic, ensuring the all kinds of land use dataset. (3)Enhancing land use modeling, improved data input, improved validation of land change model, improved model output for the future need of modeling are needed to higher resolution and more accurate projections. (4)Enhancing remote sensing, when you use remote sensing to study land change or land cover change, you should integrate the remotely-sensed and ground -based date with national level datasets, improve the capability of data analyzing and managing. 参考文献 相似文献 引证文献