Wan, Luwen, Kendall, Anthony D, Rapp, Jeremy, and Hyndman, David W. Mapping agricultural tile drainage in the US Midwest using explainable random forest machine learning and satellite imagery. Retrieved from https://par.nsf.gov/biblio/10535979. Science of The Total Environment 950.C Web. doi:10.1016/j.scitotenv.2024.175283.

Wan, Luwen, Kendall, Anthony D, Rapp, Jeremy, & Hyndman, David W. Mapping agricultural tile drainage in the US Midwest using explainable random forest machine learning and satellite imagery. Science of The Total Environment, 950 (C). Retrieved from https://par.nsf.gov/biblio/10535979. https://doi.org/10.1016/j.scitotenv.2024.175283

Wan, Luwen, Kendall, Anthony D, Rapp, Jeremy, and Hyndman, David W. "Mapping agricultural tile drainage in the US Midwest using explainable random forest machine learning and satellite imagery". Science of The Total Environment 950 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.scitotenv.2024.175283. https://par.nsf.gov/biblio/10535979.

@article{osti_10535979,
place = {Country unknown/Code not available}, title = {Mapping agricultural tile drainage in the US Midwest using explainable random forest machine learning and satellite imagery}, url = {https://par.nsf.gov/biblio/10535979}, DOI = {10.1016/j.scitotenv.2024.175283}, abstractNote = {}, journal = {Science of The Total Environment}, volume = {950}, number = {C}, publisher = {Elsevier}, author = {Wan, Luwen and Kendall, Anthony D and Rapp, Jeremy and Hyndman, David W}, }