The Latent Dirichlet Allocation model applied to airborne LiDAR data: A case study on mapping forest degradation associated with fragmentation and fire in the Amazon region

MLA

Valle, D., et al. The Latent Dirichlet Allocation Model Applied to Airborne LiDAR Data: A Case Study on Mapping Forest Degradation Associated with Fragmentation and Fire in the Amazon Region. 2022. 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=edsoai&AN=edsoai.on1325588691&authtype=sso&custid=ns315887.

APA

Valle, D., Valle, D., Silva, C., Longo, M., & Brando, P. (2022). The Latent Dirichlet Allocation model applied to airborne LiDAR data: A case study on mapping forest degradation associated with fragmentation and fire in the Amazon region.

Chicago

Valle, D, D Valle, Ca Silva, M Longo, and P Brando. 2022. “The Latent Dirichlet Allocation Model Applied to Airborne LiDAR Data: A Case Study on Mapping Forest Degradation Associated with Fragmentation and Fire in the Amazon Region.” 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=edsoai&AN=edsoai.on1325588691&authtype=sso&custid=ns315887.