地球科学进展

地球科学进展 ›› 2018, Vol. 33 ›› Issue (5): 483 -492. doi: 10.11867/j.issn.1001-8166.2018.05.0483

综述与评述 上一篇    下一篇

定量遥感地表参数尺度转换研究趋势探讨
栾海军 1( ), 田庆久 2, 3, 章欣欣 1, 聂芹 1, 朱晓玲 1   
  1. 1.厦门理工学院 计算机与信息工程学院, 福建 厦门 361024
    2.南京大学 国际地球系统科学研究所, 江苏 南京 210023
    3.南京大学 江苏省地理信息技术重点实验室, 江苏 南京 210023
  • 收稿日期:2017-12-15 修回日期:2018-04-02 出版日期:2018-05-20
  • 基金资助:
    *国家自然科学基金项目“融合地物类别信息的NDVI升降尺度转换耦合研究”(编号:41601350);福建省自然科学基金项目“融合地物类别信息的NDVI尺度转换研究”(编号:2017J05069)资助.

Trends on Scaling Research for Land Surface Parameters in Quantitative Remote Sensing

Haijun Luan 1( ), Qingjiu Tian 2, 3, Xinxin Zhang 1, Qin Nie 1, Xiaoling Zhu 1   

  1. 1.College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China
    2.International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
    3.Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China
  • Received:2017-12-15 Revised:2018-04-02 Online:2018-05-20 Published:2018-06-13
  • About author:

    First author:Luan Haijun (1984-), male, Luyi County, Henan Province, Lecturer. Research areas include scale effects research of quantitative remote sensing. E-mail:luanhaijun@xmut.edu.cn

  • Supported by:
    Project supported by the National Natural Science Foundation of China “Coupling of NDVI’s up-scaling and down-scaling fusing with ground objects classification”(No.41601350);The Natural Science Foundation of Fujian Province, China “Research on NDVI’s scaling fusing with ground objects classification”(No.2017J05069).
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尺度效应是定量遥感重要而基础的问题之一,学者们利用尺度转换模型定量描述尺度效应。重点以归一化差分植被指数(NDVI)为例,对其尺度转换研究现状进行分析,进而对定量遥感地表参数尺度转换研究趋势进行探讨。认为:① 融合地物类别信息的升尺度转换模型建立将成为遥感地表参数升尺度转换研究的一种新趋势;② 利用分形理论与方法尝试揭示尺度转换动力学过程也是遥感地表参数降尺度转换研究的一个新的发展趋势;③ 时空尺度转换耦合研究将继续成为未来遥感地表参数尺度转换研究的新主题,对利用多重分形方法建立时空尺度转换耦合模型的可能性进行分析,展示了该方法的潜在研究价值;④ 定量遥感尺度转换与遥感影像地类自动识别结合研究将成为新趋势,2个研究领域可相辅相成,在今后的研究中取得新的成果。

关键词: 遥感地表参数, 尺度转换, NDVI, 地物类别, 分形

Scale effect is a crucial scientific problem in quantitative remote sensing, and scholars attempt to solve it with scales transformation models. As a significant land surface parameter, NDVI’s scaling has been studied for a long time. Therefore, we took NDVI as a main example. Its development of scaling research was described and analyzed in the paper, and the development trends were discussed for land surface parameters in quantitative remote sensing. Our opinions are as follows: ① It will be the new trend to establish upscaling models fused with ground objects classification information for land surface parameters in quantitative remote sensing; ② It will be the new trend to establish downscaling models based on fractal for land surface parameters in quantitative remote sensing; ③ It is still the hotspot to establish temporal-spatial coupled scaling models for land surface parameters in quantitative remote sensing in the future. The multi-fractal scaling methodology was proposed and its availability was analyzed in the paper, which presented significant potential; ④ It will be the novel trend to combine scales transformation in quantitative remote sensing presented automatic ground objects recognition in remote sensing images. It is proposed that the two research fields can help each other and both can make much progress in the future.

Key words: Remotely sensed land surface parameters, Scales transformation, NDVI, Ground objects classification, Fractal.

中图分类号: 

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