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An Improved Computational Geometry Method for Obtaining Accurate Remotely Sensed Products via Convex Hulls With Dynamic Weights: A Case Study With Leaf Area Index
Chen, Hong1; wu, Hua2,3,4; Li, Zhao-Liang5,6; Tu, Jienan1
2019-07-01
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
Volume12Issue:7Pages:2308-2319
Corresponding Authorwu, Hua(wuhua@igsnrr.ac.cn)
AbstractMost retrieval functions used in remote sensing assume that the land surface is homogeneous. When those functions are used at a coarse spatial resolution for heterogeneous surfaces, scale effects might appear. This paper tries to develop an improved computational geometry method (ICGM) upscaling model that takes into consideration the actual distribution of surface measurements by using dynamic weights for the upper and lower envelopes of a convex hull. By aggregating to a series of simulated data at coarse spatial resolution, the weight coefficients can be determined via a least square method. To evaluate the proposed upscaling model, the leaf area index (LAI) is used as an example. The results for three sites with different degrees of heterogeneity show that the ICGM upscaling model can effectively correct for the scale effects of the LAI, and in most cases, achieve an accuracy that is comparable to that of traditional upscaling models. The relative error of the estimated LAI for the selected sites decreases from 3.35%, 11.01%, and 19.62% to an average of 0.28%, 1.48%, and 5.16%, respectively, at kilometer scale. A determination of whether retrieval functions are continuous or derivable is no longer required. Furthermore, there is no need to rely upon synchronous high spatial resolution data. Because the weight coefficients vary little at different scales, those coefficients are thought to be insensitive to different scales and can be taken as constants for a given study site. This study indicates that the proposed method is promising and feasible even for a heterogeneous landscape.
KeywordComputational geometry leaf area index (LAI) Taylor series expansion upscaling
DOI10.1109/JSTARS.2019.2906053
WOS KeywordSCALE ISSUES ; SURFACE ; VALIDATION ; RESOLUTION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41531174] ; National Natural Science Foundation of China[41871267] ; National Key R&D Program of China[2018YFB0504800] ; National Key R&D Program of China[2016YFC0502506]
Funding OrganizationNational Natural Science Foundation of China ; National Key R&D Program of China
WOS Research AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000480354800030
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68674
Collection中国科学院地理科学与资源研究所
Corresponding Authorwu, Hua
Affiliation1.China Aero Geophys Survey & Remote Sensing Ctr Na, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
5.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China
6.CNRS, UdS, ICube, F-67412 Illkirch Graffenstaden, France
Recommended Citation
GB/T 7714
Chen, Hong,wu, Hua,Li, Zhao-Liang,et al. An Improved Computational Geometry Method for Obtaining Accurate Remotely Sensed Products via Convex Hulls With Dynamic Weights: A Case Study With Leaf Area Index[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(7):2308-2319.
APA Chen, Hong,wu, Hua,Li, Zhao-Liang,&Tu, Jienan.(2019).An Improved Computational Geometry Method for Obtaining Accurate Remotely Sensed Products via Convex Hulls With Dynamic Weights: A Case Study With Leaf Area Index.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,12(7),2308-2319.
MLA Chen, Hong,et al."An Improved Computational Geometry Method for Obtaining Accurate Remotely Sensed Products via Convex Hulls With Dynamic Weights: A Case Study With Leaf Area Index".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 12.7(2019):2308-2319.
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