Lilin Zhang - Univ Twente, Fac Geoinformat & Earth Observat ITC, NL-7500 AE Enschede, Netherlands

基本信息

Career Trajectory

Bio

Lilin Zhang currently works at the School of Geography, Beijing Normal University. Lilin does research in Meteorology, Climatology and Remote Sensing. Their most recent publication is 'MODIS-Based Estimation of Terrestrial Latent Heat Flux over North America Using Three Machine Learning Algorithms'.

Research Interests

Papers共 28 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Multimodel Ensemble Estimation of Landsat-like Global Terrestrial Latent Heat Flux Using a Generalized Deep CNN-LSTM Integration Algorithm

Xiaozheng Guo,Yunjun Yao,Qingxin Tang,Shunlin Liang,Changliang Shao,Joshua B. Fisher,Jiquan Chen,Kun Jia,Xiaotong Zhang,Ke Shang,Junming Yang,Ruiyang Yu,Zijing Xie,Lu Liu,Jing Ning,Lilin Zhang

AGRICULTURAL AND FOREST METEOROLOGY (2024)

Cited2Views0Bibtex

Coupling Physical Constraints with Machine Learning for Satellite-Derived Evapotranspiration of the Tibetan Plateau

Ke Shang,Yunjun Yao,Zhenhua Di,Kun Jia,Xiaotong Zhang,Joshua B. Fisher,Jiquan Chen,Xiaozheng Guo,Junming Yang,Ruiyang Yu,Zijing Xie,Lu Liu,Jing Ning,Lilin Zhang

REMOTE SENSING OF ENVIRONMENT（2023）

Cited36Views0Bibtex

The Divergence of Energy- and Water-Balance Evapotranspiration Estimates in Humid Regions

Lilin Zhang,Michael Marshall,Anton Vrieling,Andrew Nelson

JOURNAL OF HYDROLOGY (2023)

Cited7Views0Bibtex

Biogeographic Limits of C4 Engineered Rice

Michael Marshall, Deepak Haridasan, Florencio Campomanes V,Christiaan van der Tol,Anton Vrieling, Kevin Tu,Lilin Zhang,Andrew Nelson

openalex（2023）

Cited1Views0Bibtex

The Global LAnd Surface Satellite (GLASS) Evapotranspiration Product Version 5.0: Algorithm Development and Preliminary Validation

Zijing Xie,Yunjun Yao,Xiaotong Zhang,Shunlin Liang,Joshua B. Fisher,Jiquan Chen,Kun Jia,Ke Shang,Junming Yang,Ruiyang Yu,Xiaozheng Guo,Lu Liu,Jing Ning,Lilin Zhang

JOURNAL OF HYDROLOGY（2022）

Cited18Views0Bibtex

A Novel TIR-derived Three-Source Energy Balance Model for Estimating Daily Latent Heat Flux in Mainland China Using an All-Weather Land Surface Temperature Product

Junming Yang,Yunjun Yao,Changliang Shao,Yufu Li,Joshua B. Fisher,Jie Cheng,Jiquan Chen,Kun Jia,Xiaotong Zhang,Ke Shang,Ruiyang Yu,Xiaozheng Guo,Zijing Xie,Lu Liu,Jing Ning,Lilin Zhang

AGRICULTURAL AND FOREST METEOROLOGY（2022）

Cited14Views0Bibtex

ERTFM: an Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation

Lilin Zhang,Yunjun Yao,Xiangyi Bei,Yufu Li,Ke Shang,Junming Yang,Xiaozheng Guo,Ruiyang Yu,Zijing Xie

Remote Sensing (2021)

Cited7Views0EIBibtex

Evaluation of Six Satellite-Based Terrestrial Latent Heat Flux Products in the Vegetation Dominated Haihe River Basin of North China

Yufu Li,Xinxin Sui,Yunjun Yao, Haixia Cheng,Lilin Zhang,Lu Wang,Jing Ning,Ke Shang,Junming Yang,Ruiyang Yu,Lu Liu,Xiaozheng Guo,Zijing Xie

Forests（2021）

Cited0Views0Bibtex

Author Statistics

Co-Author

Co-Institution

D-Core

合作者
学生
导师

No result temporarily, you can search similar Scholar with the same research interest

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn