湖北农业科学 ›› 2018, Vol. 57 ›› Issue (13): 5-9.doi: 10.14088/j.cnki.issn0439-8114.2018.13.001

• 综述 •    下一篇

基于遥感技术与数学模型的土地利用/覆盖变化研究进展

冯丁饶1, 谢炘格1, 雷昊仪1, 刘彪1, 陈乃鸽1, 常虔浩2   

  1. 1.中国地质大学(北京)土地科学技术学院,北京 100083;
    2.北京科技大学材料科学与工程学院,北京 100083
  • 收稿日期:2018-03-18 出版日期:2018-07-10 发布日期:2019-12-23
  • 通讯作者: 王金满(1979-),男,内蒙古赤峰人,教授,主要从事土地整治与生态恢复研究,(电子信箱)wangjinman2002@163.com。
  • 作者简介:冯丁饶(1997-),男,黑龙江佳木斯人,在读本科生,研究方向为土地资源管理,(电话)13439348119(电子信箱)fengdingrao@sina.com;
  • 基金资助:
    中国地质大学(北京)大学生创新创业训练计划项目(A310)

Research Progress on Land Use/Cover Change Based on Remote Sensing Technology and Mathematical Models

FENG Ding-rao1, XIE Xin-ge1, LEI Hao-yi1, LIU Biao1, CHEN Nai-ge1, CHANG Qian-hao2   

  1. 1.School of Land Science and Technology,China University of Geosciences (Beijing),Beijing 100083,China;
    2.School of Materials and Science and Engineering,University of Science and Technology Beijing,Beijing 100083,China
  • Received:2018-03-18 Online:2018-07-10 Published:2019-12-23

摘要: 对基于遥感技术与数学模型的土地利用/覆盖变化研究进展进行了梳理。现阶段基于遥感技术的土地利用/覆盖变化研究多围绕多源数据融合提高土地利用变化信息提取的准确度,遥感影像与现有资料叠加结合运用降低土地利用/覆盖变化信息提取与判定的错误率;而基于数学模型的土地利用/覆盖变化研究则偏重于多种模型在土地变化模拟与预测的结合运用、模型与数学方法的结合运用,以提高土地利用变化信息提取与变化模拟的准确性与效率度。未来土地利用/覆盖变化研究与应用向着错误率低、分辨率高、检测速度快、监测成本低的方向发展。

关键词: 土地利用, 土地覆盖, 变化, 遥感技术, 数学模型

Abstract: The research progress on LUCC and mathematical models based on remote sensing technology were discussed. Currently LUCC pays attention to multi-source data fusion to improve the accuracy of land use change information extraction, and reduce the error of information extraction and decision through the superposition of remote sensing image combining with the existing data. The LUCC research based on mathematical models focuses on the combination of multiple models in the simulation and prediction of land change and the combination of models and mathematical methods, to improve the accuracy and efficiency in extraction and simulation of land use change information. The future research and application of LUCC should be developed toward the direction of lower error, higher resolution, faster speed and lower cost.

Key words: land use, land cover, change, remote sensing technology, mathematical models

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