CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction

CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction

Wildfires significantly threaten ecosystems and human lives, necessitating effective prediction models for the management of this destructive phenomenon. This study integrates Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) modules to develop a novel deep learnin...

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Bibliographic Details
Main Authors: Mohammad Marjani, Masoud Mahdianpari, Fariba Mohammadimanesh
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Remote Sensing
Subjects:
wildfire spread
convolutional neural network (CNN)
long short-term memory (LSTM)
CNN-BiLSTM
deep learning
VIIRS
Online Access:https://www.mdpi.com/2072-4292/16/8/1467

Internet

https://www.mdpi.com/2072-4292/16/8/1467

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