Accuracy assessment of timber volume maps using forest inventory data and LiDAR canopy height models. [No authors listed] A Hill, J Breschan, D Mandallaz - Forests, 2014 - mdpi.com GSID: 5XmQNzRiu3UJ
A comparison of two tree detection methods for estimation of forest stand and ecological variables from airborne LiDAR data in central european forests. Bucha T, Sačkov I. I Sačkov, L Kulla, T Bucha - Remote Sensing, 2019 - mdpi.com GSID: 94k6y-2lst8J
Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest. Fassnacht FE, Latifi H, Müller J. H Latifi, FE Fassnacht, J Müller, A Tharani… - International Journal of …, 2015 - Elsevier GSID: h2MUZpYIakoJ
Understanding forest health with remote sensing-part I—a review of spectral traits, processes and remote-sensing characteristics. Heurich M, King DJ, Lausch A, Magdon P. A Lausch, S Erasmi, DJ King, P Magdon, M Heurich - Remote Sensing, 2016 - mdpi.com GSID: 0el-50Gh2zoJ
A review of tree species classification based on airborne LiDAR data and applied classifiers. Rapiński J. M Michałowska, J Rapiński - Remote Sensing, 2021 - mdpi.com GSID: YJs9OS0u7E4J
LiDAR remote sensing and applications. Chen Q, Dong P. P Dong, Q Chen - 2017 - books.google.com GSID: o45ORiTkIbkJ
