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Toward a Collective Agenda on AI for Earth Science Data Analysis
IEEE Geoscience and Remote Sensing Magazine ( IF 14.6 ) Pub Date : 2021-06-16 , DOI: 10.1109/mgrs.2020.3043504
Devis Tuia , Ribana Roscher , Jan Dirk Wegner , Nathan Jacobs , Xiaoxiang Zhu , Gustau Camps-Valls

In past years, we have witnessed the fields of geosciences and remote sensing and artificial intelligence (AI) become closer. Thanks to the massive availability of observational data, improved simulations, and algorithmic advances, these disciplines have found common objectives and challenges to help advance the modeling and understanding of the Earth system. Despite such great opportunities, we have also observed a worrisome tendency to remain in disciplinary comfort zones, applying recent advances from AI on well-resolved remote sensing problems. Here, we take a position on the research directions for which we think the interface between these fields will have the most significant impact and become potential game changers. In our declared agenda for AI in Earth sciences, we aim to inspire researchers, especially the younger generations, to tackle these challenges for a real advance of remote sensing and the geosciences.

中文翻译:

迈向地球科学数据分析人工智能集体议程

在过去的几年里,我们见证了地球科学、遥感和人工智能(AI)领域的距离越来越近。由于观测数据的大量可用性、改进的模拟和算法的进步,这些学科找到了共同的目标和挑战,以帮助推进对地球系统的建模和理解。尽管有如此巨大的机会,我们也观察到了一种令人担忧的趋势,即留在学科舒适区,将人工智能的最新进展应用于已解决的遥感问题。在这里,我们对我们认为这些领域之间的接口将产生最重大影响并成为潜在的游戏规则改变者的研究方向持立场。在我们宣布的地球科学人工智能议程中,我们旨在激励研究人员,尤其是年轻一代,
更新日期:2021-06-16
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