On the usefulness of very high resolution IKONOS satellite imagery for vegetation mapping

Jagannath Aryal , D Shanahan , Renaud Mathieu , K Beck
. In Proceedings: 16th Annual Colloquium of the Spatial Information Research Centre 71 -72

2004
Recommending Environmental Big Data Using Semantically Guided Machine Learning

Jagannath Aryal , Ahsan Morshed , Ritaban Dutta
Large Scale and Big Data 463 -494

2014
Object-oriented classification and Ikonos multispectral imagery for mapping vegetation communities in urban areas

Jagannath Aryal , Renaud Mathieu
In Proceedings: The 17th Annual Colloquium of the Spatial Information Research Centre 181 -188

19
2005
Optimization Approaches for a Complex Dairy Farm Simulation Model

Jagannath Aryal , Don Kulasiri , Dishi Liu
World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering 2 ( 2) 405 -411

1
2008
Association of Spatial Object Recognition and GEOBIA: an Experimental Approach

Jagannath Aryal , Didier Josselin
geographic information science 19 -24

2
2012
The polygon overlay problem in electoral geography

Didier Josselin , Jagannath Aryal , Cyrille Genre-Grandpierre , Romain Louvet
Proceedings of Spatial Accuracy 2016 67 -73

2016
Investigating aggregation effect in depicting urban trees in a GEOBIA environment

Didier Josselin , Jagannath Aryal
5th Geographic Object-Based Image Analysis Conference, proceedings

2014
Comparing Techniques for Tracking: The Case of Tourism Tracer in Tasmania, Australia

Jagannath Aryal , Anne Hardy , Martha Wells
e-review of tourism research 16 84 -94

5
2019
Impact of scaling on the study of forest fires in the southern France

Didier Josselin , Jagannath Aryal , Cyrille Genre-Grandpierre , Romain Louvet
revue internationale de géomatique 26 ( 4)

2016
Quantitative Analysis of Pollutant Emissions in the Context of Demand Responsive Transport

Jagannath Aryal , Didier Josselin , Julie Prud'homme
Lecture Notes in Artificial Intelligence 6782

2011
Mapping Urban Tree Cover Changes Using Object-Based Convolution Neural Network (OB-CNN)

Jamie B. Kirkpatrick , Jagannath Aryal , Shirisa Timilsina
Remote Sensing 12 ( 18) 3017

35
2020
Deep Learning-Based Semantic Segmentation of Urban Features in Satellite Images: A Review and Meta-Analysis

Teerayut Horanont , Jagannath Aryal , Bipul Neupane
Remote Sensing 13 ( 4) 808

58
2021
Characterizing Spatial and Temporal Variability of Lightning Activity Associated with Wildfire over Tasmania, Australia

Jagannath Aryal , Rebecca M. B. Harris , Peter Love , Haleh Nampak
Fire 4 ( 1) 10

1
2021
A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time

James Hilton , Jagannath Aryal , Saurabh Garg , Ujjwal Kc
Fire 4 ( 2) 20

2021
UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks

Omid Ghorbanzadeh , Sansar Raj Meena , Thomas Blaschke , Jagannath Aryal
Remote Sensing 11 ( 17) 2046

25
2019
Landslide detection using multi-scale image segmentation and different machine learning models in the higher Himalayas

Sepideh Tavakkoli Piralilou , Hejar Shahabi , Ben Jarihani , Omid Ghorbanzadeh
Remote Sensing 11 ( 21) 2575

103
2019
Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping

Bakhtiar Feizizadeh , Majid Shadman Roodposhti , Thomas Blaschke , Jagannath Aryal
Arabian Journal of Geosciences 10 ( 5) 122

47
2017
A robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data

Asim Anees , Jagannath Aryal , Małgorzata M. O’Reilly , Timothy J. Gale
Isprs Journal of Photogrammetry and Remote Sensing 122 167 -178

11
2016