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A Systematic Review of Applications of Machine Learning Techniques for Wildfire Management Decision Support

Karol Bot, José G. Borges
2022 Inventions  
The review considers documents published in the last four years, using a sample of 135 documents (review articles and research articles).  ...  It is concluded that the adoption of machine learning methods may contribute to enhancing support in different fire management phases.  ...  In [93] , detailed topological features are used in a hybrid artificial intelligence model (composed of multivariate adaptive regression splines optimized by differential flower pollination).  ... 
doi:10.3390/inventions7010015 fatcat:cce4w6uuv5gwlk4ladocmw6cvu

Role of Machine Learning Algorithms in Forest Fire Management: A Literature Review

Arif Muhammad, Alghamdi Khloud K, Sahel Salma A, Alosaimi Samar O, Alsahaft Mashael E, Alharthi Maram A, Arif Maryam
2021 Journal of Robotics and Automation  
A big list of factors that can affect the occurrence of wildfires are given in [124] that can be used in the prediction of wildfire and forest fire risks.  ...  Performance on the four-level scale was not found to be accurate. Spatial patterns of fire occurrences in Mediterranean Europe was studied by Oliveira, et al. [135] .  ... 
doi:10.36959/673/372 fatcat:lo2bzahnazbspax2qzgg7smpne

GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography

Wenwen Li, Chia-Yu Hsu
2022 ISPRS International Journal of Geo-Information  
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for spatial analytics in Geography.  ...  Although much progress has been made in exploring the integration of AI and Geography, there is yet no clear definition of GeoAI, its scope of research, or a broad discussion of how it enables new ways  ...  Acknowledgments: The authors sincerely appreciate Yingjie Hu and Song Gao for comments on an earlier version of the manuscript. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi11070385 fatcat:yyzi46anyfcjrjuzcjfhbczo5y

Integrating GIS and Remotely Sensed Data for Mapping Forest Disturbance and Change [chapter]

John Rogan, Jennifer Miller
2006 Understanding Forest Disturbance and Spatial Pattern  
Steven Franklin, the editors of this book, for their insightful comments and direction while we were preparing this chapter. We also acknowledge the collaboration and advice of Lisa Fischer (U.S.  ...  Solution To mitigate commission errors in disturbance mapping, GIS data can be used to create spatial masks of the landscape features most often confused with the disturbance type of interest (Levien  ...  Daily maps of active thermal hot spots are available from the MODIS 8-day 1-km active fire summary product data, indicating the spatial location of active fires (Roy et al . , 1999) .  ... 
doi:10.1201/9781420005189.ch6 fatcat:a3gb6lsfxfb23myyy7em42b6be

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

Tong Li, Lizhen Cui, Zhihong Xu, Ronghai Hu, Pawan K. Joshi, Xiufang Song, Li Tang, Anquan Xia, Yanfen Wang, Da Guo, Jiapei Zhu, Yanbin Hao (+2 others)
2021 Remote Sensing  
provides inversion information used in sustainable development management.  ...  A scientometrics analysis based on Science Citation Index-Expanded (SCI-E) was performed to understand the research trends and areas of focus in GRS research studies.  ...  Conflicts of Interest: In this study, all authors declare there is no conflicts of interest.  ... 
doi:10.3390/rs13071279 fatcat:24nj37otfnfzjdiep4jtde63uy

Integrated modelling of social-ecological systems for climate change adaptation

Carlo Giupponi, Anne-Gaelle Ausseil, Stefano Balbi, Fabio Cian, Alexander Fekete, Animesh K. Gain, Arthur Hrast Essenfelder, Javier Martínez-López, Vahid Mojtahed, Celia Norf, Hélder Relvas, Ferdinando Villa
2022 Socio-Environmental Systems Modelling  
On the methodological side, significant improvements have been made for better understanding the dynamics of complex social and ecological systems, but still, the literature and proposed solutions are  ...  Analysis of climate change risks in support of policymakers to set effective adaptation policies requires an innovative yet rigorous approach towards integrated modelling (IM) of social-ecological systems  ...  Acknowledgements All authors would like to acknowledge anonymous reviewers and the editor for their insightful revisions and editing. A.  ... 
doi:10.18174/sesmo.18161 fatcat:pyvacmaecjdejamh7c2sqjmffu

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review

Liping Yang, Joshua Driscol, Sarigai Sarigai, Qiusheng Wu, Haifei Chen, Christopher D. Lippitt
2022 Remote Sensing  
Artificial intelligence (AI) methods are a critical enabling technology to automating the interpretation of RS imagery, particularly on object-based domains, so the integration of AI methods into GEE represents  ...  Remote sensing (RS) plays an important role gathering data in many critical domains (e.g., global climate change, risk assessment and vulnerability reduction of natural hazards, resilience of ecosystems  ...  Their model, DeepGEE-S2CR, is a cloud-optimized version of the DSen2-CR model presented in [228] and fused co-registered Sentinel-1 and Sentinel-1-2 images from the SEN12MS-CR dataset.  ... 
doi:10.3390/rs14143253 fatcat:2bxizm4gg5ettkw4vnkl5cdaea

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  Remote sensing imagery is most widely used for water resources in remote area and monotonious regions. Several techniques were used to extract the glaciers lake surface using Landsat imagery.  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

Computational Socioeconomics [article]

Jian Gao, Yi-Cheng Zhang, Tao Zhou
2019 arXiv   pre-print
The understanding of socioeconomic processes provides foundations to quantify global economic development, to map regional industrial structure, and to infer individual socioeconomic status.  ...  and urban perception, the estimation of individual socioeconomic status and demographic, and the real-time monitoring of emergent events.  ...  , the above-mentioned novel perspective and methodology, driven by big data and artificial intelligence, will definitely become the mainstream in the future and change the landscape of science research  ... 
arXiv:1905.06166v1 fatcat:kvhy2hpzgvg2vnqhdjfyjfidqi

Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling

Steven Gray, Alexey Voinov, Michael Paolisso, Rebecca Jordan, Todd BenDor, Pierre Bommel, Pierre Glynn, Beatrice Hedelin, Klaus Hubacek, Josh Introne, Nagesh Kolagani, Bethany Laursen (+5 others)
2017 Ecological Applications  
However, recent advances in the theory of social-ecological networks and in multi-level network analysis have led to an increase in the study of governance as interconnected social and ecological systems  ...  We further adapt and test the "risk hypothesis" (Berardo and Scholz 2010) in a socialecological context, which has previously only been studied in the context of collaboration networks. References  ...  Individual preferences for locations play a crucial role in the formation of spatial patterns in urban land markets.  ... 
doi:10.1002/eap.1627 pmid:28922513 fatcat:lh6mglx47bbqbh7lsnwiw2jelq

Social physics [article]

Marko Jusup, Petter Holme, Kiyoshi Kanazawa, Misako Takayasu, Ivan Romic, Zhen Wang, Suncana Gecek, Tomislav Lipic, Boris Podobnik, Lin Wang, Wei Luo, Tin Klanjscek (+3 others)
2021 arXiv   pre-print
Recent decades have seen a rise in the use of physics-inspired or physics-like methods in attempts to resolve diverse societal problems.  ...  , cooperation as a basis for civilised life, the structure of (social) networks, and the integration of intelligent machines in such networks.  ...  Hopes are that meta-learning approaches will serve an important role in the future discovery of artificial general intelligence.  ... 
arXiv:2110.01866v1 fatcat:ccfxyezl6zgddd6uvrxubmaxua

Cross-Covariance Models [chapter]

2017 Encyclopedia of GIS  
Synonyms Cadaster; Land administration system; Land information system; Land policy; Land registry; Property register; Spatial reference frames  ...  The complexity of spatial data and intrinsic spatial relationships limits the usefulness of conventional data mining techniques for extracting spatial patterns.  ...  The application of correlation queries used in Earth science is introduced in details as follows.  ... 
doi:10.1007/978-3-319-17885-1_100240 fatcat:2ojzb7es7rhofinw4abol6dgc4

Framework for Computation Offloading in Mobile Cloud Computing

Dejan Kovachev, Ralf Klamma
2012 International Journal of Interactive Multimedia and Artificial Intelligence  
ACKNOWLEDGEMENTS This proposal was carried out in the network of advanced technology research in Francisco José de Caldas University in Bogotá Colombia, as part of the Ph.D. in Engineering, within the  ...  ACKNOWLEDGMENT The authors would like to thank Professors Omer Rana and José Cardoso e Cunha for the initial ideas on pattern and service abstractions, which ultimately conduced to this work.  ...  Since statistics techiniques are widely used in artificial intelligence [7] , robust methodologies are employed in both analysis methods.  ... 
doi:10.9781/ijimai.2012.171 fatcat:zeqxsym4f5ashmjkiivje2uoau

Sustainable Development for Society, Industrial Development, Material, Energy and Environment: Key Issues, Opportunities and Challenges [article]

Santosh P Mane, Dr. Praveen G. Saptarshi, Dr. B. M. Bhanje, Prof. Dr. S. D. Shinde, Dr. F. M. Nadaf, Dr. H. B. Tipe, Dr. Sandeep Rout, Dr. Muhammad Yasir, Dr. Babalola Ayodele Samuel, N. Dr. Kavitha G.
2022 Zenodo  
., (2009) On energetic particles in space.Actaphysicaslovaca 59,537-652 [5]. Simpson, J. (1983) .  ...  Elemental and isotopic composition of galactic cosmic rays, annual reviews of nuclear and particle science, 33, 323-381. [6]. Carl D. Anderson  ...  fires as well as all other landscape fires.  ... 
doi:10.5281/zenodo.6774780 fatcat:v4i7hj42yncpliuihffgdwofby

ARAMIS heritage, 10 years after the end of the project [chapter]

2017 Risk Analysis and Management - Trends, Challenges and Emerging Issues  
or persons as a result of operation or use of this publication and/or the information contained herein.  ...  No part of this publication or the information contained herein may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, by photocopying, recording  ...  Separating natural and epistemic uncertainty in flood frequency analysis, Journal of Hydrology, 309, 114-132. Petry, B. (2002) .  ... 
doi:10.1201/9781315265339-9 fatcat:rs6apsg5rndttgq7fi5huiukry
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