q_research
Canopy analysis
This project investigates the relationship between forest canopy height and density using LiDAR data from ICESat GLAS, GEDI, and ICESat-2.
For processing of ICESat GLAS, GEDI and ICESat-2 LiDAR data, to derive q parameter for canopy height to density relationship
8 stars
1 watching
5 forks
Language: Python
last commit: almost 3 years ago
Linked from 1 awesome list
acgeospatial/awesome-earthobservation-codeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 langnico/global-canopy-height-model | Develops a high-resolution canopy height model to estimate canopy top height anywhere on Earth | 138 |
 ornldaac/gedi_tutorials | Tutorials and tools for accessing and analyzing GEDI science data products | 116 |
 philwilkes/forestlas | Tools and methods for analyzing airborne LiDAR data to quantify forest vertical structure | 20 |
 akamoske/canopylazr | Estimates leaf area density and index from airborne LiDAR point clouds | 33 |
 opengeos/lidar | A Python package for analyzing digital elevation models to identify and delineate surface depressions | 249 |
 azvoleff/gfcanalysis | Tools and analyses for working with Hansen et al.'s Global Forest Change dataset | 17 |
 apburt/treeseg | Extracts individual trees from high-density lidar point clouds using machine learning and computer vision techniques | 214 |
 glouppe/phd-thesis | In-depth analysis of Random Forests algorithm to improve understanding and interpretability | 527 |
 rbavery/sprnca_gedi | Maps Foliage Height Diversity along a river corridor using NASA's GEDI Lidar data | 3 |
 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 |
 chguiterman/dfoliatr | An R package for analyzing tree-ring data to identify insect defoliators and disturbances in forests | 7 |
 carlos-alberto-silva/weblidar-treetop | An R-based application for analyzing LiDAR data in forest ecosystems | 116 |
 remotesensinginfo/pysl4land | Tools to process and analyze spaceborne lidar data from GEDI and ICESAT-2 satellites for land applications | 18 |
 brycefrank/pyfor | A Python package for processing aerial point clouds in the context of forest inventory and analysis. | 92 |
 ghislainv/forestatrisk-tropics | This project models and forecasts tropical deforestation using spatial analysis and machine learning techniques | 29 |