local-structure-wpb-severity
Forest health assessment
An analysis of drone imagery to understand the relationship between forest structure and tree mortality due to an insect infestation.
Analysis of drone imagery to characterize forest structure and severity of a tree killing insect
6 stars
2 watching
2 forks
Language: R
last commit: almost 3 years ago
Linked from 1 awesome list
acgeospatial/awesome-earthobservation-codeRelated projects:
| Repository | Description | Stars |
|---|---|---|
| mikoontz/remote-sensing-resistance | Investigating how forest heterogeneity affects wildfire severity by analyzing remote sensing data and GIS analysis | 9 |
 shmh40/detectreergb | A repository containing scripts and notebooks to analyze tree crown delineation from RGB imagery and LiDAR data, including methods for analyzing mortality rates and carbon stocks. | 35 |
 forestdatapartnership/whisp | An open-source software project providing a framework for integrating multiple Earth Observation datasets to improve forest monitoring and analysis. | 16 |
 ytarazona/forestoolboxrs | Tools and algorithms for processing satellite images to detect deforestation and monitor forest health. | 54 |
 vukoz-oel/3d-forest | Software for analyzing and visualizing 3D Lidar data from forest environments. | 59 |
 weecology/deeptreeattention | An implementation of a deep learning model for tree species classification from hyperspectral images | 120 |
 glouppe/phd-thesis | An in-depth analysis of random forests, focusing on their learning capabilities and interpretability. | 525 |
 alan-turing-institute/monitoring-ecosystem-resilience | Develops tools to analyze satellite imagery and simulate vegetation patterns for understanding ecosystem resilience | 23 |
 zdanielsresearch/hellingertreesmatlab | Implementation of Hellinger Distance Decision Trees and Forests for binary decision problems with imbalanced data and numeric attributes. | 2 |
 chguiterman/dfoliatr | An R package for analyzing tree-ring data to identify insect defoliators and disturbances in forests | 7 |
| weecology/neontreeevaluation | A dataset and tools for evaluating tree detection algorithms on multisensor aerial imagery | 136 |
 so-yeonbae/sentinel1-biodiversity | This project provides R code and data processing instructions for analyzing Sentinel-1 radar satellite data to map forest biodiversity. | 10 |
 yuhhuang/building_identification_damage_assessment | Automated analysis of building damage from high-resolution satellite images using machine learning algorithms. | 6 |
 skrisanski/fsct | Automates measurements from high-resolution forest point clouds | 150 |
 juanb09111/finnforest | A collection of data and software tools for training machine learning models to analyze and understand forests | 46 |