A Machine Learning-Based Approach to Estimate Energy Flows of the Mangrove Forest: The Case of Panama Bay
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Anh Nguyen & Bao V.Q Le & Otto Richter, 2020. "The Role of Mangroves in the Retention of Heavy Metal (Chromium): A Simulation Study in the Thi Vai River Catchment, Vietnam," IJERPH, MDPI, vol. 17(16), pages 1-22, August.
- Cui, Borui & Fan, Cheng & Munk, Jeffrey & Mao, Ning & Xiao, Fu & Dong, Jin & Kuruganti, Teja, 2019. "A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses," Applied Energy, Elsevier, vol. 236(C), pages 101-116.
- Jefferson Brooks & Miguel Chen Austin & Dafni Mora & Nathalia Tejedor-Flores, 2021. "A Critical Review on Mathematical Descriptions to Study Flux Processes and Environmental-Related Interactions of Mangroves," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
- Er-Raki, S. & Rodriguez, J.C. & Garatuza-Payan, J. & Watts, C.J. & Chehbouni, A., 2013. "Determination of crop evapotranspiration of table grapes in a semi-arid region of Northwest Mexico using multi-spectral vegetation index," Agricultural Water Management, Elsevier, vol. 122(C), pages 12-19.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- César Benavente-Peces & Nisrine Ibadah, 2020. "Buildings Energy Efficiency Analysis and Classification Using Various Machine Learning Technique Classifiers," Energies, MDPI, vol. 13(13), pages 1-24, July.
- Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A novel improved model for building energy consumption prediction based on model integration," Applied Energy, Elsevier, vol. 262(C).
- Campos, Isidro & Balbontín, Claudio & González-Piqueras, Jose & González-Dugo, Maria P. & Neale, Christopher M.U. & Calera, Alfonso, 2016. "Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards," Agricultural Water Management, Elsevier, vol. 165(C), pages 141-152.
- Shao, Guomin & Han, Wenting & Zhang, Huihui & Liu, Shouyang & Wang, Yi & Zhang, Liyuan & Cui, Xin, 2021. "Mapping maize crop coefficient Kc using random forest algorithm based on leaf area index and UAV-based multispectral vegetation indices," Agricultural Water Management, Elsevier, vol. 252(C).
- Awada, Hassan & Di Prima, Simone & Sirca, Costantino & Giadrossich, Filippo & Marras, Serena & Spano, Donatella & Pirastru, Mario, 2022. "A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration," Agricultural Water Management, Elsevier, vol. 260(C).
- Mahmoud, Shereif H. & Gan, Thian Yew, 2019. "Irrigation water management in arid regions of Middle East: Assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data," Agricultural Water Management, Elsevier, vol. 212(C), pages 35-47.
- Li, Yanfei & O'Neill, Zheng & Zhang, Liang & Chen, Jianli & Im, Piljae & DeGraw, Jason, 2021. "Grey-box modeling and application for building energy simulations - A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
- Wei, Ziqing & Ren, Fukang & Zhu, Yikang & Yue, Bao & Ding, Yunxiao & Zheng, Chunyuan & Li, Bin & Zhai, Xiaoqiang, 2022. "Data-driven two-step identification of building thermal characteristics: A case study of office building," Applied Energy, Elsevier, vol. 326(C).
- Amazirh, Abdelhakim & Merlin, Olivier & Er-Raki, Salah & Bouras, Elhoussaine & Chehbouni, Abdelghani, 2021. "Implementing a new texture-based soil evaporation reduction coefficient in the FAO dual crop coefficient method," Agricultural Water Management, Elsevier, vol. 250(C).
- Shao, Guomin & Han, Wenting & Zhang, Huihui & Zhang, Liyuan & Wang, Yi & Zhang, Yu, 2023. "Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods," Agricultural Water Management, Elsevier, vol. 276(C).
- Mohammed Olama & Jin Dong & Isha Sharma & Yaosuo Xue & Teja Kuruganti, 2020. "Frequency Analysis of Solar PV Power to Enable Optimal Building Load Control," Energies, MDPI, vol. 13(18), pages 1-18, September.
- Evangelos Anastasiou & Athanasios Balafoutis & Nikoleta Darra & Vasileios Psiroukis & Aikaterini Biniari & George Xanthopoulos & Spyros Fountas, 2018. "Satellite and Proximal Sensing to Estimate the Yield and Quality of Table Grapes," Agriculture, MDPI, vol. 8(7), pages 1-17, June.
- Dewangan, Chaman Lal & Vijayan, Vineeth & Shukla, Devesh & Chakrabarti, S. & Singh, S.N. & Sharma, Ankush & Hossain, Md. Alamgir, 2023. "An improved decentralized scheme for incentive-based demand response from residential customers," Energy, Elsevier, vol. 284(C).
- Diarra, A. & Jarlan, L. & Er-Raki, S. & Le Page, M. & Aouade, G. & Tavernier, A. & Boulet, G. & Ezzahar, J. & Merlin, O. & Khabba, S., 2017. "Performance of the two-source energy budget (TSEB) model for the monitoring of evapotranspiration over irrigated annual crops in North Africa," Agricultural Water Management, Elsevier, vol. 193(C), pages 71-88.
- Ouaadi, Nadia & Jarlan, Lionel & Khabba, Saïd & Le Page, Michel & Chakir, Adnane & Er-Raki, Salah & Frison, Pierre-Louis, 2023. "Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient?," Agricultural Water Management, Elsevier, vol. 282(C).
- Huang, Sen & Lin, Yashen & Chinde, Venkatesh & Ma, Xu & Lian, Jianming, 2021. "Simulation-based performance evaluation of model predictive control for building energy systems," Applied Energy, Elsevier, vol. 281(C).
- Velander, Taylor B. & Joyce, Michael J. & Kujawa, Angela M. & Sanders, Robert L. & Keenlance, Paul W. & Moen, Ron A., 2023. "A dynamic thermal model for predicting internal temperature of tree cavities and nest boxes," Ecological Modelling, Elsevier, vol. 478(C).
- Zhao, Peng & Kang, Shaozhong & Li, Sien & Ding, Risheng & Tong, Ling & Du, Taisheng, 2018. "Seasonal variations in vineyard ET partitioning and dual crop coefficients correlate with canopy development and surface soil moisture," Agricultural Water Management, Elsevier, vol. 197(C), pages 19-33.
- Lara Ramadan & Isam Shahrour & Hussein Mroueh & Fadi Hage Chehade, 2021. "Use of Machine Learning Methods for Indoor Temperature Forecasting," Future Internet, MDPI, vol. 13(10), pages 1-18, September.
- Pôças, I. & Calera, A. & Campos, I. & Cunha, M., 2020. "Remote sensing for estimating and mapping single and basal crop coefficientes: A review on spectral vegetation indices approaches," Agricultural Water Management, Elsevier, vol. 233(C).
More about this item
Keywords
artificial neural networks; black box model; eddy covariance; energy flow measurement; grey box model;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:664-:d:1020415. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.