Bayesian Network Analysis of Land-Atmosphere Interactions Affecting Burned Areas in India During the 2022 South Asia Heatwave-Reference-Cited by-同舟云学术

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Bayesian Network Analysis of Land-Atmosphere Interactions Affecting Burned Areas in India During the 2022 South Asia Heatwave

Published:2024-07-07 Issue: Volume: Page:2930-2934
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Irawan Amir Mustofa¹,Vall-Llossera Mercè¹,López-Martínez Carlos¹,Camps Adriano¹,Chaparro David²,Portal Gerard³,Pablos Miriam¹,Alonso-González Alberto¹

Affiliation:

1. Universitat Politècnica de Catalunya (UPC),CommSensLab – UPC,Department of Signal Theory and Communications,Barcelona,Spain,08034

2. Microwaves and Radar Institute,German Aerospace Center,Wessling,Germany,82234

3. Institut d’Estudis Espacials de Catalunya IEEC,Barcelona,Spain,08034

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642105.pdf?arnumber=10642105

Reference18 articles.

1. South Asia: heat wave 2022,2022

2. DAGs with NO TEARS: Continuous Optimization for Structure Learning;Zheng;Adv Neural Inf Process Syst,2018

3. Evidence for a wavier jet stream in response to rapid Arctic warming

4. Burned Area Prediction In Southern Asia Using Machine Learning With Land And Atmospheric Parameters

5. A hybrid classification algorithm by subspace partitioning through semi-supervised decision tree

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