Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models

MLA

Guo, Yiqing, et al. Plant Species Richness Prediction from DESIS Hyperspectral Data: A Comparison Study on Feature Extraction Procedures and Regression Models. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2301.01918&authtype=sso&custid=ns315887.

APA

Guo, Y., Mokany, K., Ong, C., Moghadam, P., Ferrier, S., & Levick, S. R. (2023). Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models.

Chicago

Guo, Yiqing, Karel Mokany, Cindy Ong, Peyman Moghadam, Simon Ferrier, and Shaun R. Levick. 2023. “Plant Species Richness Prediction from DESIS Hyperspectral Data: A Comparison Study on Feature Extraction Procedures and Regression Models.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2301.01918&authtype=sso&custid=ns315887.