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Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics

Scientific reports, 2021-10, Vol.11 (1), p.21333-21333, Article 21333

2021

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Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

Remote sensing (Basel, Switzerland), 2018-02, Vol.10 (2), p.299

2018

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Toward cool cities and communities: A sensitivity analysis method to identify the key planning and design variables for urban heat mitigation techniques

Sustainable cities and society, 2021-12, Vol.75, p.103377, Article 103377

2021

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DF-DRUNet: A decoder fusion model for automatic road extraction leveraging remote sensing images and GPS trajectory data

International journal of applied earth observation and geoinformation, 2024-03, Vol.127, p.103632, Article 103632

2024

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Artificial intelligence in public health: the potential of epidemic early warning systems

Journal of International Medical Research, 2023-03, Vol.51 (3), p.3000605231159335-3000605231159335

2023

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Modelling spatial patterns of wildfire occurrence in South-Eastern Australia

Geomatics, natural hazards and risk, 2016-11, Vol.7 (6), p.1800-1815

2016

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Application of Persistent Scatterer Interferometry to monitor land motion along radar line of sight in landslide-prone areas of Himachal Pradesh, India

Geomatics, natural hazards and risk, 2024-12, Vol.15 (1)

2024

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Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4698

2021

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A probabilistic fusion of a support vector machine and a joint sparsity model for hyperspectral imagery classification

GIScience and remote sensing, 2019-11, Vol.56 (8), p.1129-1147

2019

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A multi-criteria decision support framework for municipal solid waste landfill siting: a case study of New South Wales (Australia)

Environmental monitoring and assessment, 2020-11, Vol.192 (11), p.682-682, Article 682

2020

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Hyperspectral Image Classification Using Joint Sparse Model and Discontinuity Preserving Relaxation

IEEE geoscience and remote sensing letters, 2018-01, Vol.15 (1), p.78-82

2018

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Gene expression programming and ensemble methods for bushfire susceptibility mapping: a case study of Victoria, Australia

Geomatics, natural hazards and risk, 2021-01, Vol.12 (1), p.2367-2386

2021

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Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal

Landslides, 2021-04, Vol.18 (4), p.1403-1419

2021

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Drivers of Wildfire Occurrence Patterns in the Inland Riverine Environment of New South Wales, Australia

Forests, 2019-06, Vol.10 (6), p.524

2019

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Mapping burned areas and land-uses in Kangaroo Island using an object-based image classification framework and Landsat 8 Imagery from Google Earth Engine

Geomatics, natural hazards and risk, 2022-12, Vol.13 (1), p.1867-1897

2022

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Geomorphological slope units of the Himalayas

Journal of maps, 2022-12, Vol.18 (2), p.300-313

2022

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An attention-based hybrid model for spatial and temporal sentiment analysis of COVID-19 related tweets in the contiguous United States

Geo-spatial information science, 2024-10, p.1-20

2024

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A novel multi-dimensional modeling approach to integrated municipal solid waste management

Journal of cleaner production, 2017-11, Vol.166, p.1131-1143

2017

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Improved Joint Sparse Models for Hyperspectral Image Classification Based on a Novel Neighbour Selection Strategy

Remote sensing (Basel, Switzerland), 2018-06, Vol.10 (6), p.905

2018

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An investigation on the best-fit models for sugarcane biomass estimation by linear mixed-effect modelling on unmanned aerial vehicle-based multispectral images: A case study of Australia

Information processing in agriculture, 2023-09, Vol.10 (3), p.361-376

2023

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Dynamic Block-Based Parameter Estimation for MRF Classification of High-Resolution Images

IEEE geoscience and remote sensing letters, 2014-10, Vol.11 (10), p.1687-1691

2014

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Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi-collinearity analysis and K-fold cross-validation

Geomatics, natural hazards and risk, 2020-01, Vol.11 (1), p.1653-1678

2020

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A Comprehensive Assessment of Climate Change and Anthropogenic Effects on Surface Water Resources in the Lake Urmia Basin, Iran

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (11), p.1960

2024

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Collecting Typhoon Disaster Information from Twitter Based on Query Expansion

ISPRS international journal of geo-information, 2018-04, Vol.7 (4), p.139

2018

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A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data

ISPRS international journal of geo-information, 2023-07, Vol.12 (7), p.288

2023

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Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics

Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

Toward cool cities and communities: A sensitivity analysis method to identify the key planning and design variables for urban heat mitigation techniques

DF-DRUNet: A decoder fusion model for automatic road extraction leveraging remote sensing images and GPS trajectory data

Artificial intelligence in public health: the potential of epidemic early warning systems

Modelling spatial patterns of wildfire occurrence in South-Eastern Australia

Application of Persistent Scatterer Interferometry to monitor land motion along radar line of sight in landslide-prone areas of Himachal Pradesh, India

Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery

A probabilistic fusion of a support vector machine and a joint sparsity model for hyperspectral imagery classification

A multi-criteria decision support framework for municipal solid waste landfill siting: a case study of New South Wales (Australia)

Hyperspectral Image Classification Using Joint Sparse Model and Discontinuity Preserving Relaxation

Gene expression programming and ensemble methods for bushfire susceptibility mapping: a case study of Victoria, Australia

Spatial clustering and modelling for landslide susceptibility mapping in the north of the Kathmandu Valley, Nepal

Drivers of Wildfire Occurrence Patterns in the Inland Riverine Environment of New South Wales, Australia

Mapping burned areas and land-uses in Kangaroo Island using an object-based image classification framework and Landsat 8 Imagery from Google Earth Engine

Geomorphological slope units of the Himalayas

An attention-based hybrid model for spatial and temporal sentiment analysis of COVID-19 related tweets in the contiguous United States

A novel multi-dimensional modeling approach to integrated municipal solid waste management

Improved Joint Sparse Models for Hyperspectral Image Classification Based on a Novel Neighbour Selection Strategy

An investigation on the best-fit models for sugarcane biomass estimation by linear mixed-effect modelling on unmanned aerial vehicle-based multispectral images: A case study of Australia

Dynamic Block-Based Parameter Estimation for MRF Classification of High-Resolution Images

Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi-collinearity analysis and K-fold cross-validation

A Comprehensive Assessment of Climate Change and Anthropogenic Effects on Surface Water Resources in the Lake Urmia Basin, Iran

Collecting Typhoon Disaster Information from Twitter Based on Query Expansion

A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data

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