Jagannath Aryal

According to our database1, Jagannath Aryal authored at least 36 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

2019
A Novel Rule-Based Approach in Mapping Landslide Susceptibility.
Sensors, 2019

Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data.
Sensors, 2019

Leveraging Machine Learning to Extend Ontology-Driven Geographic Object-Based Image Analysis (O-GEOBIA): A Case Study in Forest-Type Mapping.
Remote Sensing, 2019

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas.
Remote Sensing, 2019

UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks.
Remote Sensing, 2019

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection.
Remote Sensing, 2019

Dynamic Wildfire Navigation System.
ISPRS Int. J. Geo-Information, 2019

A novel algorithm for calculating transition potential in cellular automata models of land-use/cover change.
Environ. Model. Softw., 2019

Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest.
Entropy, 2019

2018
Assessing the Impact of Spectral Resolution on Classification of Lowland Native Grassland Communities Based on Field Spectroscopy in Tasmania, Australia.
Remote Sensing, 2018

Cloud computing based bushfire prediction for cyber-physical emergency applications.
Future Gener. Comput. Syst., 2018

Object-based random forest classification of Landsat ETM+ and WorldView-2 satellite imagery for mapping lowland native grassland communities in Tasmania, Australia.
Int. J. Appl. Earth Obs. Geoinformation, 2018

A Computational Framework for Autonomous Self-repair Systems.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Tracking tourists' travel with smartphone-based GPS technology: a methodological discussion.
J. of IT & Tourism, 2017

Benchmarking the Applicability of Ontology in Geographic Object-Based Image Analysis.
ISPRS Int. J. Geo-Information, 2017

2016
A Relative Density Ratio-Based Framework for Detection of Land Cover Changes in MODIS NDVI Time Series.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2016

Impact des niveaux d'échelle sur l'étude des feux de forêts du sud-est de la France.
Revue Internationale de Géomatique, 2016

Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method.
Entropy, 2016

2015
Impact du changement d'échelle sur l'étude des causes des feux de forêts du sud-est de la France.
Proceedings of the Actes de la 11ème conférence internationale annuelle Spatial Analysis and GEOmatics, 2015

Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System.
Proceedings of the 4th International Workshop on Big Data, 2015

Big Data Architecture for Environmental Analytics.
Proceedings of the Environmental Software Systems. Infrastructures, Services and Applications, 2015

Farm biosecurity hot spots prediction using big data analytics.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Smart city and geospatiality: Hobart deeply learned.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

2014
Near-Real Time Detection of Beetle Infestation in Pine Forests Using MODIS Data.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2014

A Statistical Framework for Near-Real Time Detection of Beetle Infestation in Pine Forests Using MODIS Data.
IEEE Geosci. Remote Sensing Lett., 2014

Environmental Object Recognition in a Natural Image: An Experimental Approach Using Geographic Object-Based Image Analysis (GEOBIA).
IJAEIS, 2014

Development of an intelligent environmental knowledge system for sustainable agricultural decision support.
Environ. Model. Softw., 2014

Autonomous Framework for Sensor Network Quality Annotation: Maximum Probability Clustering Approach.
Proceedings of the International Conference on Computational Science, 2014

Recommending Environmental Big Data Using Semantically Guided Machine Learning.
Proceedings of the Large Scale and Big Data - Processing and Management., 2014

2013
The Weighted Fuzzy Barycenter: Definition and Application to Forest Fire Control in the PACA Region.
IJAEIS, 2013

Environmental Spatio-temporal Ontology for the Linked Open Data Cloud.
Proceedings of the 12th IEEE International Conference on Trust, 2013

Development of an intelligent environmental knowledge recommendation system for sustainable water resource management using modis satellite imagery.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Detecting beetle infestations in pine forests using MODIS NDVI time-series data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Recommending environmental knowledge as linked open data cloud using semantic machine learning.
Proceedings of the Workshops Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2011
Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

2005
Use of the Bradley-Terry model to quantify association in remotely sensed images.
IEEE Trans. Geoscience and Remote Sensing, 2005


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