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fates-docs

Documentation source code for the FATES model

fates-release

This read-only public repository holds release versions of the FATES model.

fates_sp_ensembles

featurests

Features extraction from time series in R

fernerkundung.github.io

Blog about Remote Sensing, Python, (Spatial) Data Science.

fgeo

[Meta R-package on CRAN] Analyse forest diversity and dynamics

fgeo.analyze

[R-package on CRAN] Analyze fgeo data.

fgeo.biomass

Calculate biomass with allometric equations from the allodb package and ForestGEO data

fgeo.blog

A blog for the community of fgeo

fgeo.data

Open Datasets of ForestGEO

fgeo.krig

Analyze soil data

fgeo.misc

Miscellaneous Functions

fgeo.plot

[R-package on CRAN] Plot ForestGEO data

fgeo.scbi

Easy access to data from SCBI

fgeo.template

Templates used to build ForestGEO packages.

fgeo.tool

[R-package on CRAN] General purpose tools for ForestGEO Packages

fgeo.validate

Validate ForestGEO Tables

fgeo.x

[R-package on CRAN] Access small example datasets from Luquillo, a ForestGEO site in Puerto Rico

fire-data-processing

Scripts to produce the fuel moisture and flammability data for the AFMS system

fire_area_forecast

GE585 Spring 2019 class project

fire_fia_mtbs

testing

flora

R package (including shiny web app) for interacting with the Brazilian Flora Checklist. All data included.

fmask

The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.

forecast-standards

Exploring possible metadata and data formatting standards for comparing Ecological Forecasts

foresight

Project Foresite: Forest Loss and Wildfire Risk Assessment System using machine-learning (Thanks to USAID for sponsoring v 1.0).

forest-degradation-monitoring

Repository for technical data dealing with (semi)-evergreen forest degradation monitoring

forest-fires

A Model for the Early-Detection of Forest-Fires

forestdata

Post-inventory processing of forest plot data

forestess

ForestESS simulates plant demographic processes (e.g., growth, reproduction, and mortality), competition for light and soil resources, and soil biogeochemical processes. The codes are from the version of LM3-PPA used to simulate the forest successional dynamics in the paper of Weng, E., Farrior, CE, Dybzinski, R, and Pacala, SW, et al. 2016 Global Change Biology.

forestfrag3d

Code for Reproducibility of Generalized 3D Fragmentation Index Paper (Petras et al. 2017)