Forest Fire Data Set
Published: 12 February 2018| Version 1 | DOI: 10.17632/xw3ffcg6yp.1
YOUNES oulad SAYAD
We built a dataset based on remote sensing data related to the state of crops, this dataset is composed of three parameters: NDVI, LST, and Thermal Anomalies. The process of building the dataset is composed of 6 steps: Data Collection, Data Conversion, Data Clipping, Data Extraction, Data Cleaning and Data Interpolation This DataSet was used for forest fire prediction using unsupervised data mining algorithms simulated in the framework DataBricks.
Remote Sensing, Data Mining, Machine Learning, Fire