Using digital camera and Landsat imagery with eddy covariance data to model gross primary production in restored wetlands

Sara Knox; Iryna Dronova; Cove Sturtevant; Patricia Y. Oikawa; Jaclyn Hatala Matthes; Joseph Verfaillie; Dennis Baldocchi

doi:10.1016/j.agrformet.2017.02.020

Related publications

Article2007

Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes

Wenping Yuan, Shuguang Liu, Guangsheng Zhou, Guoyi Zhou, Larry L. Tieszen, Dennis Baldocchi, Christian Bernhofer, Henry L. Gholz, Allen H. Goldstein, Michael L. Goulden, David Y. Hollinger, Yueming Hu, B. E. Law, Paul C. Stoy, Timo Vesala, Steven C. Wofsy

Article2019

Monitoring Spatial and Temporal Variabilities of Gross Primary Production Using MAIAC MODIS Data

Marcos Fernández‐Martínez, Rong Yu, John A. Gamon, Gabriel Hmimina, Iolanda Filella, Manuela Balzarolo, Benjamin D. Stocker, Josep Penuelas

Article2016

Modeling gross primary production of paddy rice cropland through analyses of data from CO2 eddy flux tower sites and MODIS images

Fengfei Xin, Xiangming Xiao, Bin Zhao, Akira Miyata, Dennis Baldocchi, Sara Knox, Minseok Kang, Kyo‐Moon Shim, Sung-Hyun Min, Bangqian Chen, Xiangping Li, Jie Wang, Jinwei Dong, Çhandrashekhar Biradar

Article2019

Detecting hotspots of methane emissions in wetlands through eddy-covariance measurements and footprint modelling

Camilo Rey‐Sánchez, Joseph Verfaillie, Daphne Szutu, Dennis Baldocchi

Article2021

Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Jeremy Irvin, Sharon Zhou, Gavin McNicol, Fred Lu, Vincent Liu, Etienne Fluet‐Chouinard, Zutao Ouyang, Sara Knox, Antje Lucas-Moffat, Carlo Trotta, Dario Papale, Domenico Vitale, Ivan Mammarella, Pavel Alekseychik, Mika Aurela, Anand Avati, Dennis Baldocchi, Sheel Bansal, Gil Bohrer, David I. Campbell, Jiquan Chen, Housen Chu, Higo J. Dalmagro,