Improving the Gross Primary Productivity Estimate by Simulating the Maximum Carboxylation Rate of the Crop Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improving the Gross Primary Productivity Estimate by Simulating the Maximum Carboxylation Rate of the Crop Using Machine Learning Algorithms

Published:2022 Issue: Volume:60 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yuan Dekun¹^ORCID,Zhang Sha¹,Li Haojie¹,Zhang Jiahua¹^ORCID,Yang Shanshan¹^ORCID,Bai Yun¹^ORCID

Affiliation:

1. Space Information and Big Earth Data Research Center, College of Computer Science and Technology, Qingdao University, Qingdao, China

Funder

National Natural Science Fund of China

“Taishan Scholar” Project of Shandong Province

Key Basic Research Project of Shandong Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09864644.pdf?arnumber=9864644

Reference84 articles.

1. Optimization of ecosystem model parameters through assimilating eddy covariance flux data with an ensemble Kalman filter

2. The ensemble Kalman filter for combined state and parameter estimation

3. Optimization of water uptake and photosynthetic parameters in an ecosystem model using tower flux data

4. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of radiation scalar using deep learning for improved gross primary productivity estimation based on a light-use efficiency model;International Journal of Digital Earth;2024-09-11

2. Integrating machine learning with thermal-driven analytical energy balance model improved terrestrial evapotranspiration estimation through enhanced surface conductance;Remote Sensing of Environment;2024-09

3. Improving the Gross Primary Productivity Estimation by Simulating the Maximum Carboxylation Rate of Maize Using Leaf Age;Remote Sensing;2024-07-27

4. A novel hybrid modelling framework for GPP estimation: Integrating a multispectral surface reflectance based Vcmax25 simulator into the process-based model;Science of The Total Environment;2024-04

5. Integrating Meteorological and Remote Sensing Data to Simulate Cropland Nocturnal Evapotranspiration Using Machine Learning;Sustainability;2024-02-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3