Build a machine learning model for predictive ecosystem mapping
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Updated
Feb 12, 2024 - R
Build a machine learning model for predictive ecosystem mapping
Forest Structure Extrapolation with R
Tools for procedurally simulating forest landscapes
Resultados preliminares obtenidos de las simulaciones selvícolas realizadas para el proyecto Life Rebollo
Code, data and manuscript for "Fernández-Pascual (2021) SylvanSeeds, a seed germination database for temperate deciduous forests. Journal of Vegetation Science." https://doi.org/10.1111/jvs.12960
Computation of dendrometric and structural parameters from forest inventory data
Making use of the iPhones LiDAR sensor. For an example have a look at https://haukegron.github.io/iLiDAR/.
A calculus of blank spaces into stacked firewood through an image.
Project and report files for my MSc capstone at Oregon State: Comparison of Gaussian copula and random forests in spatial prediction
Evaluating Tree Species Diversity in Forest Ecosystems Using LiDAR Data: A Exploration in NRW
Infortrac app for forestry analysis with Sentinel-2A satellite, developed in Rshiny, from Stefano Grigolato's Infortrac project. Paper: Responding to Large-Scale Forest Damage in an Alpine Environment with Remote Sensing, Machine Learning, and Web-GIS. https://doi.org/10.3390/rs13081541
Construct standard sample plan for a machine-learning predictive ecosystem map
Neste curso você vai aprender os conceitos básicos da linguagem R e os conceitos de programação. Ao fianl você irá aprender a fazer os principais gráficos com o ggplot2.
Add a description, image, and links to the forestry topic page so that developers can more easily learn about it.
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