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Predicting Wildfires with Weather Forecast Data

Overview

The 5 datasets to predict wildfire for Australia in February 2021. The datasets provided are wildfires, historical weather, historical weather forecast, vegetation index, and land classes.

Get this Dataset

Data Description Zipped File Name
Full (Original) Dataset, 117.9 MB spot-challenge-wildfires.tar.gz

Dataset Metadata

Field Value
Format CSV
License Apache License, Version 2.0
Domain Time Series
Number of Records 2994720 Records
Data Split 31 CSV Documents
Size 117.9 MB
Dataset Origin IBM Thomas J. Watson Research Center
Dataset Version Update 2021-05-11
Data Coverage The wildfires, historical weather, historical weather forecast, vegetation index, and land classes datasets to predict wildfire for Australia in February 2021.

Dataset Archive Contents

File or Folder Description
HistoricalWeather.csv contains daily aggregates computed from the hourly climate reanalysis
HistoricalWeatherForecasts.csv contains daily aggregates computed from the output of NOAA’s Global Forecast System (GFS).
Historical_Wildfires.csv contains data on fire activities in Australia starting from 2005.
LandClass.csv derived from the CGLS land cover data product, which is based on PROBA-V satellite measurements.
VegetationIndex.csv reports the normalized differential vegetation index (NOVI) starting in 2005 for Australia monthly
Historical_Wildfires_BASE4.csv contains data on fire activities in Australia starting from 2005.
NSW_Wildfires_Temperature.csv contains data on fire activities in New South Wales, Australia.
submission-example.csv Wildfire prediction sample
submission-01-29.csv Wildfire prediction for Jan 2021 week 4 (Jan 23-29)
About_the_data(Readme).pdf Explains dataset update information
Readme_Docs_Wildfires-Datasets_2020-11.pdf Explains dataset structure and contents
LICENSE.txt Terms of Use

Use the Dataset

This dataset is complemented by a data exploration and data analysis Python notebook to help you get started:

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