Data, scripts, and figures associated with a manuscript studying impact of climate and topography on post-fire vegetation recovery.

Dataset · Wed Nov 01 04:00:00 EDT 2023

DOI:https://doi.org/10.15485/2205677· OSTI ID:2205677

Zahura, Faria ^[1]; Bisht, Gautam ^[2]; Li, Zhi ^[2]; McKnight, Sarah ^[3]; Chen, Xingyuan ^[2]

---

1. Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
2. Pacific Northwest National Laboratory
3. University of Dayton

This data package is associated with the publication “Impact of Topography and Climate on Post-fire Vegetation Recovery Across Different Burn Severity and Land Cover Types through Machine Learning” submitted to Remote Sensing of Environment (Zahura et al. 2023).In this research, a machine learning algorithm, random forest (RF), was utilized to examine the impact of climate and topography on post-fire vegetation recovery. We used enhanced vegetation index (EVI) to examine varying burn severity and land cover types. The data package includes the input files for RF model training, outputs from model predictions and analysis, and python scripts to run the model, analyze the results to understand model performance and interpretability, and plot manuscript figures.This data package contains three folders (Data, Scripts, and Figures), a file-level metadata (FLMD) csv, and a data dictionary (dd) csv. Please see Postfire_recovery_flmd.csv for a list of all files contained in this data package and descriptions for each. The data dictionary (Postfire_recovery_dd.csv) describes the csv column headers. The “Data” folder provides all the inputs and outputs to train the RF model, evaluate performance, and interpret predictions. The “Scripts” folder contains python scripts and jupyter notebooks for model training and result analysis. The “Figures” folder includes the figures used in the manuscript in “.png” and “.jpg” format.

• Research Organization: Environmental System Science Data Infrastructure for a Virtual Ecosystem
• Sponsoring Organization: U.S. DOE > Office of Science > Biological and Environmental Research (BER)
• OSTI ID: 2205677
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
Aspect
Burn severity
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION
EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION > VEGETATION INDEX
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > WATERSHED CHARACTERISTICS > WATERSHED SLOPE
ESS-DIVE CSV File Formatting Guidelines Reporting Format
ESS-DIVE File Level Metadata Reporting Format
ESS-DIVE Model Data Archiving Guidelines
EVI
Elevation
Enhanced vegetation index
Evergreen forest
Fire impacts
Grassland
Land cover
Machine Learning
Post-fire recovery
Precipitation
Random forest
Remote sensing
Shrubs
Slope
Temperature
Water year
Wildfire
Years after fire