Pinned Repositories
Bash-Scripts-for-Remote-Sensing
LandClimTools
R-Package to work with LandClim
Malaria_SDM
NFItools
Functions to support handling and analysis of national forest inventory data
pets
Simple simulation models to play with
PLS-Path-Modeling
PyProSAIL
Python interface to the ProSAIL leaf/canopy reflectance model
Python-Remote-Sensing-Scripts
sdms
Species distribution modeling with R
SpeciesRichness-GLMvsRF-LiDAR
R-codes for: Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029
Karlsruhe Institute of Technology - Institute for Geography and Geoecology's Repositories
KIT-IfGG/LandClimTools
R-Package to work with LandClim
KIT-IfGG/NFItools
Functions to support handling and analysis of national forest inventory data
KIT-IfGG/pets
Simple simulation models to play with
KIT-IfGG/sdms
Species distribution modeling with R
KIT-IfGG/Malaria_SDM
KIT-IfGG/Bash-Scripts-for-Remote-Sensing
KIT-IfGG/climate_impact_research_2
LandClim simulations for Profound sites
KIT-IfGG/field_data_analysis
Course on field data analysis (WiSe 2017/18 Datenanalyse)
KIT-IfGG/PLS-Path-Modeling
KIT-IfGG/PyProSAIL
Python interface to the ProSAIL leaf/canopy reflectance model
KIT-IfGG/Python-Remote-Sensing-Scripts
KIT-IfGG/SpeciesRichness-GLMvsRF-LiDAR
R-codes for: Lopatin, J., Dolos, K., Hernández, J., Galleguillos, M., Fassnacht, F. E. (2016): Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile. Remote Sensing of Environment 173, pp. 200–210. 10.1016/j.rse.2015.11.029