Yijian Zeng , Fakhereh Alidoost , Bart Schilperoort , Yang Liu , Stefan Verhoeven , Meiert Willem Grootes , Yunfei Wang , Zengjing Song , Danyang Yu , Enting Tang , Qianqian Han , Lianyu Yu , Mostafa Gomaa Daoud , Prajwal Khanal , Yunfei Chen , Christiaan van der Tol , Raúl Zurita-Milla , Serkan Girgin , Bas Retsios , Niels Drost , Zhongbo Su
{"title":"基于STEMMUS-SCOPE模型的开放土壤-植物数字孪生模型的研究","authors":"Yijian Zeng , Fakhereh Alidoost , Bart Schilperoort , Yang Liu , Stefan Verhoeven , Meiert Willem Grootes , Yunfei Wang , Zengjing Song , Danyang Yu , Enting Tang , Qianqian Han , Lianyu Yu , Mostafa Gomaa Daoud , Prajwal Khanal , Yunfei Chen , Christiaan van der Tol , Raúl Zurita-Milla , Serkan Girgin , Bas Retsios , Niels Drost , Zhongbo Su","doi":"10.1016/j.cageo.2025.106013","DOIUrl":null,"url":null,"abstract":"<div><div>Droughts and heatwaves jeopardize terrestrial ecosystem services. The development of an open digital twin of the soil-plant system can help monitor and predict the impact of these extreme events on ecosystem functioning. We illustrate how our recently developed STEMMUS-SCOPE model—STEMMUS, Simultaneous Transfer of Energy, Mass and Momentum in Unsaturated Soil; SCOPE, Soil Canopy Observation of Photosynthesis and Energy fluxes—links soil-plant processes to novel satellite observables (e.g. solar-induced chlorophyll fluorescence), contributing to such a digital twin. This soil-plant digital twin allows a mechanistic window for tracking above- and below-ground ecophysiological processes with remote sensing observations. Following Open Science and FAIR (Findable, Accessible, Interoperable, Reusable) principles, both for data and research software, we present the building blocks of the soil-plant digital twin. It emphasizes the importance of FAIR-enabling digital technologies to translate research needs and developments into reproducible and reusable data, software and knowledge.</div></div>","PeriodicalId":55221,"journal":{"name":"Computers & Geosciences","volume":"205 ","pages":"Article 106013"},"PeriodicalIF":4.2000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science\",\"authors\":\"Yijian Zeng , Fakhereh Alidoost , Bart Schilperoort , Yang Liu , Stefan Verhoeven , Meiert Willem Grootes , Yunfei Wang , Zengjing Song , Danyang Yu , Enting Tang , Qianqian Han , Lianyu Yu , Mostafa Gomaa Daoud , Prajwal Khanal , Yunfei Chen , Christiaan van der Tol , Raúl Zurita-Milla , Serkan Girgin , Bas Retsios , Niels Drost , Zhongbo Su\",\"doi\":\"10.1016/j.cageo.2025.106013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Droughts and heatwaves jeopardize terrestrial ecosystem services. The development of an open digital twin of the soil-plant system can help monitor and predict the impact of these extreme events on ecosystem functioning. We illustrate how our recently developed STEMMUS-SCOPE model—STEMMUS, Simultaneous Transfer of Energy, Mass and Momentum in Unsaturated Soil; SCOPE, Soil Canopy Observation of Photosynthesis and Energy fluxes—links soil-plant processes to novel satellite observables (e.g. solar-induced chlorophyll fluorescence), contributing to such a digital twin. This soil-plant digital twin allows a mechanistic window for tracking above- and below-ground ecophysiological processes with remote sensing observations. Following Open Science and FAIR (Findable, Accessible, Interoperable, Reusable) principles, both for data and research software, we present the building blocks of the soil-plant digital twin. It emphasizes the importance of FAIR-enabling digital technologies to translate research needs and developments into reproducible and reusable data, software and knowledge.</div></div>\",\"PeriodicalId\":55221,\"journal\":{\"name\":\"Computers & Geosciences\",\"volume\":\"205 \",\"pages\":\"Article 106013\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Geosciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0098300425001633\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Geosciences","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098300425001633","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Towards an open soil-plant digital twin based on STEMMUS-SCOPE model following open science
Droughts and heatwaves jeopardize terrestrial ecosystem services. The development of an open digital twin of the soil-plant system can help monitor and predict the impact of these extreme events on ecosystem functioning. We illustrate how our recently developed STEMMUS-SCOPE model—STEMMUS, Simultaneous Transfer of Energy, Mass and Momentum in Unsaturated Soil; SCOPE, Soil Canopy Observation of Photosynthesis and Energy fluxes—links soil-plant processes to novel satellite observables (e.g. solar-induced chlorophyll fluorescence), contributing to such a digital twin. This soil-plant digital twin allows a mechanistic window for tracking above- and below-ground ecophysiological processes with remote sensing observations. Following Open Science and FAIR (Findable, Accessible, Interoperable, Reusable) principles, both for data and research software, we present the building blocks of the soil-plant digital twin. It emphasizes the importance of FAIR-enabling digital technologies to translate research needs and developments into reproducible and reusable data, software and knowledge.
期刊介绍:
Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.