文章基本信息

标题：DATA STRUCTURE MAPPING OF BLACK SOYBEAN MULTI-TEMPORAL AND MULTILATERAL OBSERVATION WITH GRAPHICAL MODELING
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作者：H. Umakawa ; K. Sudo ; K.K. Mishra 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 8
页码：488-491
出版社：Copernicus Publications
摘要：A semi-automatic visualization methodology was developed in this study for the structures of several relationships among many numerical datasets acquired for multi-temporal, multilateral and large-scale observations. The assumptions of this method are followings: (i) all inputs are evaluated by appropriate method for each dataset, and (ii) all input data is indicative to a state of a target object during the observation. The developed methodology in the current study can abstract relative relationships of dataset pairs as a data structure map data utilizing graphical approach. This leads to the advantage that any manual editing is admissible for modification of local model among datasets for improvement of graphical appearance, since the determined coefficient is adapted as a factor to dictate the relationship strength. Additionally this adoption makes processes simpler to fuse or deconstruct the nodes. A concept "Layer" makes structure rationalization of a map easier since it utilizes categorization according to data acquisition and observation techniques. Furthermore, load reducing of calculation resulted real-time map editing. We applied the data mapping method for three years of observations for the project of the most popular black soybeans "TANBA NO KUROMAME" in Hyogo prefecture and to gain an overview of the acquired database. The project obtained three years of yield data and temporal firsthand observation data, temporal spectral data which were acquired by five airborne hyperspectral, multi-spectral and broad-band sensors in nine times over three crop growth periods. Every map of several yield data showed a similar structure and we found that the most effective wavelength ranges for investigation items of the yield difference for individual growth stage through a composite map of yield data and aerial spectral reflectance data
关键词：Black soybean; Multi-temporal; Agriculture; Water stress; Abstraction; Analytical; Visualization