Prediction of Column Average Carbon Dioxide Emission Using Random Forest Regression
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6544-1_28
Reference21 articles.
1. Sheng M, Lei L, Zeng Z-C, Rao W, Zhang S (2021) Detecting the responses of CO2 column abundances to anthropogenic emissions from satellite observations of GOSAT and OCO-2. Remote Sens 13(17):3524
2. Liang A, Gong W, Han G, Xiang C (2017) Comparison of satellite-observed XCO2 from GOSAT, OCO-2, and ground-based TCCON. Remote Sensing 9(10):1033
3. Saleh C, Dzakiyullah NR, Nugroho JB (2016) Carbon dioxide emission prediction using a support vector machine. In: IOP conference series: materials science and engineering, vol 114(1). IOP Publishing, 012148
4. Yuan X, Suvarna M, Low S, Dissanayake PD, Lee KB, Li J, Ok YS et al (2021) Applied machine learning for prediction of CO2 adsorption on biomass waste-derived porous carbons. Environ Sci Technol 55(17):11925–11936
5. https://disc.gsfc.nasa.gov/datasets/OCO2_L2_Lite_FP_9r/summary
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