Supplemental material
Open access
471
Views
0
CrossRef citations to date
0
Altmetric
Research Article
Predictions of Spartina alterniflora leaf functional traits based on hyperspectral data and machine learning models
Wei Lia Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Xueyan Zuoa Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Zhijun Liua Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Leichao Niea Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Huazhe Lia Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Junjie Wangc College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, ChinaView further author information
, Zhiguo Doua Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Yang Caia Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
, Xiajie Zhaia Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaView further author information
& Lijuan Cuia Institute of Wetland Research, Chinese Academy of Forestry, Beijing Key Laboratory of Wetland Services and Restoration, Beijing, China;b Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing, ChinaCorrespondence[email protected]
View further author information
show allView further author information
Article: 2294951
|
Received 26 Jul 2023, Accepted 09 Dec 2023, Published online: 22 Dec 2023
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.