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INTEGRATION OF MULTI-RESOLUTION DATA FOR CROP LAI ESTIMATION BASED ON CONTINUOUS WAVELET

文献类型： 外文期刊

作者： Dong, Yingying 1 ; Wang, Jihua 1 ; Li, Cunjun 1 ; Yang, Guijun 1 ; Xu, Xingang 1 ; Zhao, Jinling 1 ; Huang, Wenjiang 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Multi-resolution data;wavelet decomposition;wavelet reconstruction;leaf area index (LAI)

期刊名称：2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

ISSN： 2153-6996

年卷期： 2012 年

页码：

收录情况： SCI

摘要： Leaf area index (LAI) of crop canopies is important for crop growth monitoring and yield estimation. Considering the practical need of achieving distribution properties of LAI at a special spatial scale, and the difficult acquisition of corresponding observations at the same scale, a method integrating multi-resolution data at larger scales based on continuous wavelet theory is proposed to provide a more effective LAI dataset. For this method, firstly multi-scale wavelet theory is selected for multi-resolution data decomposition, and then decomposed signals and statistics of observations are coupled for wavelet reconstruction. Finally, the new constructed data is used for LAI estimation through multiple linear regression method. Barley is selected as experimental object. The performance of this method is quantitatively analyzed by testing indicators, i.e. Number of effective bands, R-2, and MRA. Theory analysis and numerical practices fully confirm the feasibility and validity of the proposed method in crop LAI estimation.

  • 相关文献

[1]Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices. Xie, Qiaoyun,Huang, Wenjiang,Zhang, Bing,Dong, Yingying,Xie, Qiaoyun,Chen, Pengfei,Song, Xiaoyu,Pascucci, Simone,Pignatti, Stefano,Laneve, Giovanni. 2016

[2]Comparison and Analysis of Data Assimilation Algorithms for Predicting the Leaf Area Index of Crop Canopies. Dong, Yingying,Wang, Jihua,Wang, Huifang,Li, Cunjun,Yang, Guijun,Wang, Qian,Liu, Feng,Zhao, Jinling,Huang, Wenjiang,Huang, Wenjiang. 2013

[3]Estimating Wheat Yield in China at the Field and District Scale from the Assimilation of Satellite Data into the Aquacrop and Simple Algorithm for Yield (SAFY) Models. Silvestro, Paolo Cosmo,Casa, Raffaele,Pignatti, Stefano,Pascucci, Simone,Yang, Hao,Li, Zhenhai,Yang, Guijun,Huang, Wenjiang. 2017

[4]Leaf Area Index Estimation Using Vegetation Indices Derived From Airborne Hyperspectral Images in Winter Wheat. Xie, Qiaoyun,Huang, Wenjiang,Liang, Dong,Huang, Linsheng,Zhang, Dongyan,Chen, Pengfei,Wu, Chaoyang,Yang, Guijun,Zhang, Jingcheng. 2014

[5]A New Method for LAI Spatial Scaling based on Gaussian Distribution Theory. Dong, Yingying,Wang, Jihua,Li, Cunjun,Xu, Xingang,Zhao, Jinling,Wang, Huifang,Huang, Wenjiang. 2012

[6]Comparison and Analysis of Data Upscaling Schemes for Predicting Crop Leaf Area Index. Dong, Yingying,Feng, Haikuan,Wang, Jihua,Li, Cunjun,Yang, Guijun,Huang, Wenjiang,Dong, Yingying,Wang, Jihua. 2012

[7]A model with leaf area index and apple size parameters for 2.4 GHz radio propagation in apple orchards. Guo, Xiu-ming,Guo, Xiu-ming,Yang, Xin-ting,Chen, Mei-xiang,Li, Ming,Wang, Yan-an.

[8]Integrating a very fast simulated annealing optimization algorithm for crop leaf area index variational assimilation. Dong, Yingying,Zhao, Chunjiang,Yang, Guijun,Chen, Liping,Wang, Jihua,Feng, Haikuan,Dong, Yingying,Zhao, Chunjiang.

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