Dynamic Wildfire Fuel Mapping Using Sentinel – 2 and Prisma Hyperspectral Imagery

Author:

Shaik Riyaaz Uddien1,Giovanni Laneve2,Fusilli Lorenzo1

Affiliation:

1. Sapienza University of Rome,Dept. of Astronautical, Electrical and Energy Engineering (DIAEE)

2. School of Aerospace Engineering, Sapienza University of Rome,Italy

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wildfire susceptibility mapping by incorporating damage proxy maps, differenced normalized burn Ratio, and deep learning algorithms based on sentinel-1/2 data: a case study on Maui Island, Hawaii;GIScience & Remote Sensing;2024-05-14

2. Comparison and Analysis of Three MobileNet-Based Models for Wildfire Detection;Journal of Advances in Information Technology;2024

3. Exploring Canopy Temperature and Height Dynamics in Forest Ecosystems;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25

4. A Bibliometric Analysis of Artificial Intelligence-Based Solutions to Challenges in Wildfire Fuel Mapping;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

5. Mathematical Modelling of a Propellent Gauging System: A Case Study on PRISMA;Aerospace;2023-06-18

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