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　　WEF科研系列講座(四)：基于地理對象圖像分析的多尺度植物物候?qū)W綜合研究

　　講座題目：An Integrative Approach to Multiscale Plant Phenomics Using Geographic Object-Based Image Analysis

　　講座時間：2019年10月25日19:00-20:00 pm

　　講座地點(diǎn)：圖書館5樓1902信息共享空間1984

　　主講人：Raechel A. Portelli

　　主講人簡介：

　　Raechel A. Portelli，副教授，密西根州立大學(xué)地理學(xué)系，研究領(lǐng)域為草原和火災(zāi)后環(huán)境的空間格局。目前研究內(nèi)容為地面成像技術(shù)、無人機(jī)系統(tǒng)和受干擾景觀中植物群落動力學(xué)之間的聯(lián)系。美國攝影測量與遙感學(xué)會和地球科學(xué)與遙感協(xié)會等專業(yè)協(xié)會會員，發(fā)表文章30余篇，參與出版著作4篇。

　　講座摘要：

　　The quantification of plant traits using remote sensing methods has greatly improved crop management. Recent improvements in technology and software both in the field and in the lab have greatly enhanced phenotyping for agricultural applications. The traditional method of image-based plant phenotyping relies on robust image segmentation methods. Similarly, geographic object-based image analysis has approached the characterization of vegetation in much the same way but from an opposing scale, the plant communities. Parallel analytical workflows in these communities offer a framework for cross-fertilization of technique development. In this talk I will explain the concept of Geographic Object-Based Image Analysis, provide a case study for its application, and conclude with a comparison of the two fields with the goal of identifying key challenges that might best benefit from collaboration between these two disciplines.

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