Estimating Forest Carbon Fluxes Using Machine Learning Techniques Based on Eddy Covariance Measurements
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- Kadukothanahally Nagaraju Shivaprakash & Niraj Swami & Sagar Mysorekar & Roshni Arora & Aditya Gangadharan & Karishma Vohra & Madegowda Jadeyegowda & Joseph M. Kiesecker, 2022. "Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
- Cai, Jianchao & Xu, Kai & Zhu, Yanhui & Hu, Fang & Li, Liuhuan, 2020. "Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest," Applied Energy, Elsevier, vol. 262(C).
- Nanyan Zhu & Chen Liu & Andrew F. Laine & Jia Guo, 2020. "Understanding and Modeling Climate Impacts on Photosynthetic Dynamics with FLUXNET Data and Neural Networks," Energies, MDPI, vol. 13(6), pages 1-11, March.
- Jasna Petković & Nataša Petrović & Ivana Dragović & Kristina Stanojević & Jelena Andreja Radaković & Tatjana Borojević & Mirjana Kljajić Borštnar, 2019. "Youth and forecasting of sustainable development pillars: An adaptive neuro-fuzzy inference system approach," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-25, June.
- Guo, Hui & Zhou, Xiao & Dong, Yi & Wang, Yahui & Li, Sien, 2023. "On the use of machine learning methods to improve the estimation of gross primary productivity of maize field with drip irrigation," Ecological Modelling, Elsevier, vol. 476(C).
- Abbasian, Hassan & Solgi, Eisa & Mohsen Hosseini, Seyed & Hossein Kia, Seyed, 2022. "Modeling terrestrial net ecosystem exchange using machine learning techniques based on flux tower measurements," Ecological Modelling, Elsevier, vol. 466(C).
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Keywords
carbon fluxes; boreal forests; machine learning; eddy covariance; adaptive neuro-fuzzy inference system; generalized regression neural network;All these keywords.
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