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Bibliothekskatalog
- Schlagwort: Random Forest
11 Treffer
- 1Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers
Elfatih Abdel-Rahman; Mutanga Onisimo2014 - 2Mining soil data of Switzerland: New maps for soil texture, soil organic carbon, nitrogen, and phosphorus
Surya Gupta; Julia Kim Hasler; Christine Alewell2024 - 3Biometry for Forestry and Environmental Data: With Examples in R
Lauri Mehtätalo; Juha Lappi2020 - 4Pruned hierarchical Random Forest framework for digital soil mapping: Evaluation using NEON soil properties
Chengcheng Xu; Jingyi Huang; Alfred E. Hartemink; Nathaniel W. Chaney2025 - 5Erstellung von Fichten- und Kiefernanteilskarten auf Basis von Satellitendaten für Bayern
Markus Immitzer; Kathrin Einzmann; Sebastian Böck; Matteo Mattiuzzi; Wai-Tim Ng; Adelheid Wallner; Nicole Pinnel; Anne Reichmuth; Matthias Frost; Andreas Müller; Rudolf Seitz; Clement Atzberger2015 - 6Merkmalbasierte Baumartenklassifikation mit flugzeuggestützten Hyperspektral- und LiDAR-Daten für den Nationalpark Bayerischer Wald
Carolin Sommer; Stefanie Holzwarth; Uta Heiden; Marco Heurich; Jörg Müller2015 - 7Effects of numbers of observations and predictors for various model types on the performance of forest inventory with airborne laser scanning
Diogo Cosenza; Petteri Packalén; Matti Maltamo - 8Landscape-level likelihood estimation of eastern spruce dwarf mistletoe (Arceuthobium pusillum) infestations in lowland black spruce (Picea mariana) forests of Minnesota, USA
Ella R. Gray; Matthew B. Russell; Marcella A. Windmuller-Campione - 9Evaluation of afforestations for avalanche protection with orthoimages using the random forest algorithm
Tina Grätz; Sonja Vospernik; Christian Scheidl - 10Environmental characteristics of primary outbreak foci of the pine-tree lappet Dendrolimus pini (Lepidoptera, Lasiocampidae)
Lidia Sukovata; Wiktor Tracz; Mariusz Ciesielski - 11Generating maps for operational avalanche warning with machine learning algorithms
Reinhard Fromm; Christine Schönberger