4013. Geomatic engineering
Title | 4013. Geomatic engineering |
---|---|
Parent | 40. Engineering |
Latest research outputs
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Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks
Gharineiat, Zahra, Tarsha Kurdi, Fayez, Henny, Krish, Gray, Hamish, Jamieson, Aaron and Reeves, Nicholas. 2024. "Assessment of NavVis VLX and BLK2GO SLAM Scanner Accuracy for Outdoor and Indoor Surveying Tasks." Remote Sensing. 16 (17). https://doi.org/10.3390/rs16173256Article
Temporal Dynamics and Predictive Modelling of Streamflow and Water Quality Using Advanced Statistical and Ensemble Machine Learning Techniques
Farzana, Syeda Zehan, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2024. "Temporal Dynamics and Predictive Modelling of Streamflow and Water Quality Using Advanced Statistical and Ensemble Machine Learning Techniques." Water. 16 (15). https://doi.org/10.3390/w16152107Article
Comparative analysis of traditional and transfer learning algorithms for coal spoil classification via close-range imagery
Thiruchittampalam, Sureka, Shanmugalingam, Kuruparan, Banerjee, Bikram P, Glenn, Nancy F. and Raval, Simit. 2024. "Comparative analysis of traditional and transfer learning algorithms for coal spoil classification via close-range imagery." Georisk: assessment and management of risk for engineered systems and geohazards. https://doi.org/10.1080/17499518.2024.2422490Article
Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach
Farzana, Syeda Zeh, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2024. "Spatiotemporal Variability Analysis of Rainfall and Water Quality: Insights from Trend Analysis and Wavelet Coherence Approach." Geosciences. 14 (8). https://doi.org/10.3390/geosciences14080225Article
Spatially Enabled Digital Twin Framework for the Field Design Process of Oil and Gas Projects
Bhandari, Sijan. 2024. Spatially Enabled Digital Twin Framework for the Field Design Process of Oil and Gas Projects. Masters Thesis Master of Research. University of Southern Queensland. https://doi.org/10.26192/z8v0vMasters Thesis
Supplementary Dam Site Selection Using a Geospatial Approach: A Case Study of Wivenhoe Dam
Zytoon, Aseel, Gharineiat, Zahra and Alajarmeh, Omar. 2024. "Supplementary Dam Site Selection Using a Geospatial Approach: A Case Study of Wivenhoe Dam." ISPRS International Journal of Geo-Information. 13 (6). https://doi.org/10.3390/ijgi13060180Article
Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data
Tarsha Kurdi, Fayez, Lewandowicz, Elzbieta, Gharineiat, Zahra and Shan, Jie. 2024. "Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data." Remote Sensing. 16 (12). https://doi.org/10.3390/rs16122220Article
Demarcating High-Risk Zones of Human-Elephant Conflict in Sri Lanka Utilizing GIS and a Satellite Data Fusion Approach
Gunawansa, Thakshila. 2024. Demarcating High-Risk Zones of Human-Elephant Conflict in Sri Lanka Utilizing GIS and a Satellite Data Fusion Approach. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z82qqPhD by Publication
Resilient for Tenure Security in the Face of Climate Change: A Case from Nepal
Bhatta, Ganesh Prasad, Shrestha, Reshma, Paudyal, Dev Raj and Shrestha, Sunil Babu. 2024. "Resilient for Tenure Security in the Face of Climate Change: A Case from Nepal." FIG Working Week 2024. Accra, Ghana 19 - 24 May 2024 Ghana.Paper
Spatial Digital Twin Architecture for the Field Design Process of Oil and Gas Projects in Australia
Bhandari, Sijan, Paudyal, Dev Raj and Chadalavada, Sreeni. 2024. "Spatial Digital Twin Architecture for the Field Design Process of Oil and Gas Projects in Australia ." Land. 13 (7), p. 902. https://doi.org/10.3390/land13070902Article
Identifying human elephant conflict hotspots through satellite remote sensing and GIS to support conflict mitigation
Gunawansa, Thakshila D., Perera, Kithsiri, Apan, Armando and Hettiarachchi, Nandita K.. 2024. "Identifying human elephant conflict hotspots through satellite remote sensing and GIS to support conflict mitigation ." Remote Sensing Applications: Society and Environment. 35. https://doi.org/10.1016/j.rsase.2024.101261Article
Machine learning-based assessment of deforestation, successional stages, and carbon stocks in a tropical montane forest using radar and optical satellite imagery
Altarez, Richard Dein D.. 2024. Machine learning-based assessment of deforestation, successional stages, and carbon stocks in a tropical montane forest using radar and optical satellite imagery. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z78z2PhD by Publication
Identifying the Impact Factors on the Land Market in Nepal from Land Use Regulation
Subedi, Nab Raj, McDougall, Kevin and Paudyal, Dev Raj. 2024. "Identifying the Impact Factors on the Land Market in Nepal from Land Use Regulation." Urban Science. 8 (2). https://doi.org/10.3390/urbansci8020058Article
Mapping Erosion Hotspots: Coherent Change Detection in the Quilpie Region, Queensland, Australia
Cook, Kyran, Agha Karimi, Armin, Grinham, Alistair and McDougall, Kevin. 2024. "Mapping Erosion Hotspots: Coherent Change Detection in the Quilpie Region, Queensland, Australia." Remote Sensing. 16 (7). https://doi.org/10.3390/rs16071263Article
Modeling the Geometry of Tree Trunks Using LiDAR Data
Tarsha Kurdi, Fayez, Gharineiat, Zahra, Lewandowicz, Elzbieta and Shan, Jie. 2024. "Modeling the Geometry of Tree Trunks Using LiDAR Data." Forests. 15 (2). https://doi.org/10.3390/f15020368Article
Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form
Tarsha Kurdi, Fayez, Lewandowicz, Elżbieta, Shan, Jie and Gharineiat, Zahra. 2024. "Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, pp. 3010-3022. https://doi.org/10.1109/JSTARS.2024.3349549Article
Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation
Colaco, A.F., Whelan, B.M., Bramley, R.G.V., Richetti, J., Fajardo, M., McCarthy, A.C., Perry, E.M., Bender, A., Leo, S., Fitzgerald, G.J. and Lawes, R.A.. 2024. "Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation ." Precision Agriculture. 25 (2), pp. 983-1013. https://doi.org/10.1007/s11119-023-10102-zArticle
Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach
Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy F. and Raval, Simit. 2024. "Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach." Engineering Geology. 329. https://doi.org/10.1016/j.enggeo.2024.107406Article
Efficiency of Terrestrial Laser Scanning in Survey Works: Assessment, Modelling, and Monitoring
Tarsha Kurdi, Fayez, Reed, Paul, Gharineiat, Zahra and Awrangjeb, Mohammad. 2023. "Efficiency of Terrestrial Laser Scanning in Survey Works: Assessment, Modelling, and Monitoring." International Journal of Environmental Sciences and Natural Resources. 32 (2). https://doi.org/10.19080/IJESNR.2023.32.556334Article
3D LoD2 and LoD3 Modelling of Rotating Surface Building of Ornamental Towers starting from LiDAR Data
Lewandowicz, Elzbieta, Tarsha Kurdi, Fayez and Gharineiat, Zahra. 2023. "3D LoD2 and LoD3 Modelling of Rotating Surface Building of Ornamental Towers starting from LiDAR Data." Oniga, Valeria-Ersilia (ed.) Prime Archives in Remote Sensing. India. Vide Leaf.Edited book (chapter)
Canopy Scale High-Resolution Forest Biophysical Parameter (LAI, fAPAR, and fCover) Retrieval Through Machine Learning and Cloud Computation Approach
Bandopadhyay, Subhajit, Barnali, Das, Sánchez, Alexander Cotrina, Banerjee, Sankar Prasad, Banerjee, Bikram P. and Ghosh, Subhasis. 2023. "Canopy Scale High-Resolution Forest Biophysical Parameter (LAI, fAPAR, and fCover) Retrieval Through Machine Learning and Cloud Computation Approach." 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS). Hyderabad, India 27 - 29 Jan 2023 Hyderabad, India. https://doi.org/10.1109/MIGARS57353.2023.10064558Paper
Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images
Thiruchittampalam, S., Banerjee, B. P., Singh, S. K., Glenn, N. F. and Raval, S.. 2023. "Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images." IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IGARSS52108.2023.10283351Paper
Spoil characterisation using UAV‑based optical remote sensing in coal mine dumps
Thiruchittampalam, Sureka, Singh, Sarvesh Kumar, Banerjee, Bikram Pratap, Glenn, Nancy F. and Raval, Simit. 2023. "Spoil characterisation using UAV‑based optical remote sensing in coal mine dumps." International Journal of Coal Science and Technology. 10 (1). https://doi.org/10.1007/s40789-023-00622-4Article
Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping
Thoday-Kennedy, Emily, Banerjee, Bikram, Panozzo, Joe, Maharjan, Pankaj, Hudson, David, Spangenberg, German, Hayden, Matthew and Kant, Surya. 2023. "Dissecting Physiological and Agronomic Diversity in Safflower Populations Using Proximal Phenotyping." Agriculture. 13 (3). https://doi.org/10.3390/agriculture13030620Article
Modeling Multi-Rotunda Buildings at LoD3 Level from LiDAR Data
Tarsha Kurdi, Fayez, Lewandowicz, Elzbieta, Gharineiat, Zahra and Shan, Jie. 2023. "Modeling Multi-Rotunda Buildings at LoD3 Level from LiDAR Data." Remote Sensing. 15 (13). https://doi.org/10.3390/rs15133324Article
Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data
Tarsha Kurdi, Fayez, Amakhchan, Wijdan, Gharineiat, Zahra, Boulaassal, Hakim and Kharki, Omar El. 2023. "Contribution of Geometric Feature Analysis for Deep Learning Classification Algorithms of Urban LiDAR Data." Sensors. 23 (17). https://doi.org/10.3390/s23177360Article
Greenery change and its impact on human-elephant conflict in Sri Lanka: a model-based assessment using Sentinel-2 imagery
Gunawansa, Thakshila D., Perera, Kithsiri, Apan, Armando and Hettiarachchi, Nandita. 2023. "Greenery change and its impact on human-elephant conflict in Sri Lanka: a model-based assessment using Sentinel-2 imagery." International Journal of Remote Sensing. 44 (16), pp. 5121-5146. https://doi.org/10.1080/01431161.2023.2244644Article
Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia
Farzana, Syeda Zehan, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2023. "Prediction of Water Quality in Reservoirs: A Comparative Assessment of Machine Learning and Deep Learning Approaches in the Case of Toowoomba, Queensland, Australia." Geosciences. 13 (293). https://doi.org/10.3390/geosciences13100293Article
A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia
Pakdel, Hadis, Paudyal, Dev Raj, Chadalavada, Sreeni, Alam, Md Jahangir and Vazifedoust, Majid. 2023. "A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia." ISPRS International Journal of Geo-Information. 12 (9). https://doi.org/10.3390/ijgi12090370Article
The human-elephant conflict in Sri Lanka: history and present status
Gunawansa, Thakshila, Perera, Kithsiri, Apan, Armando and Hettiarachchi, Nandita K.. 2023. "The human-elephant conflict in Sri Lanka: history and present status." Biodiversity and Conservation. 32 (10), pp. 3025-3052. https://doi.org/10.1007/s10531-023-02650-7Article
Growth Monitoring and Yield Estimation of Maize Plant Using Unmanned Aerial Vehicle (UAV) in a Hilly Region
Sapkota, Sujan and Paudyal, Dev Raj. 2023. "Growth Monitoring and Yield Estimation of Maize Plant Using Unmanned Aerial Vehicle (UAV) in a Hilly Region." Sensors. 23 (12), pp. 1-26. https://doi.org/10.3390/s23125432Article
Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data
Apan, Armando, Andrew, Ogbaje, Paudyal, Dev Raj and Perera, Kithsiri. 2023. "Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data." ISPRS International Journal of Geo-Information. 12 (194), pp. 1-26. https://doi.org/https://doi.org/10.3390/ijgi12050194Article
Crowd-Assisted Flood Disaster Management
Koswatte, S., McDougall, K. and Liu, X.. 2023. "Crowd-Assisted Flood Disaster Management." Singh, Vijay P., Yadav, Shalini, Yadac, Krishna Kumar, Corzo, Gerald Augusto, Munoz-Arriola, Francisco and Yadava, Ram Narayan (ed.) Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management. Switzerland. Springer. pp. 39-55Edited book (chapter)
Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation
Altarez, Richard Dein D., Apan, Armando and Maraseni, Tek. 2023. "Deep learning U-Net classification of Sentinel-1 and 2 fusions effectively demarcates tropical montane forest's deforestation." Remote Sensing Applications: Society and Environment. 29. https://doi.org/10.1016/j.rsase.2022.100887Article
Estimation of papaya volume and surface area using a dual ellipsoid representation and image analysis
Scarmana, Gabriel. 2022. "Estimation of papaya volume and surface area using a dual ellipsoid representation and image analysis." Staiger, Rudolf (ed.) 27th International Federation of Surveyors International Congress (FIG 2022): Volunteering for the Future – Geospatial Excellence for a Better Living. Warsaw, Poland Warsaw, Poland.Paper
Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning
Muhury, Newton, Apan, Armando A., Maraseni, Tek N. and Ayele, Gebiaw T.. 2022. "Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning." Land. 11 (12), pp. 1-23. https://doi.org/10.3390/land11122154Article
Water quality management using hybrid machine learning and data mining algorithms: An indexing approach
Aslam, Bilal, Maqsoom, Ahsen, Cheema, Ali Hassan, Ullah, Fahim, Alharbi, Abdullah and Imran, Muhammad. 2022. "Water quality management using hybrid machine learning and data mining algorithms: An indexing approach." IEEE Access. 10, pp. 119692 - 119705. https://doi.org/10.1109/ACCESS.2022.3221430Article
Sea Level Variation around Australia and Its Relation to Climate Indices
Agha Karimi, Armin, Deng, Xiaoli and Andersen, Ole Baltazar. 2019. "Sea Level Variation around Australia and Its Relation to Climate Indices." Marine Geodesy. 42 (5), pp. 469-489. https://doi.org/10.1080/01490419.2019.1629131Article
Estimating sea level rise around Australia using a new approach to account for low frequency climate signals
Agha Karimi, Armin and Deng, Xiaoli. 2020. "Estimating sea level rise around Australia using a new approach to account for low frequency climate signals." Advances in Space Research. 65 (10), pp. 2324-2338. https://doi.org/10.1016/j.asr.2020.02.002Article
Internal Variability Role on Estimating Sea Level Acceleration in Fremantle Tide Gauge Station
Agha Karimi, Armin. 2021. "Internal Variability Role on Estimating Sea Level Acceleration in Fremantle Tide Gauge Station." Frontiers in Earth Science. 9, pp. 1-8. https://doi.org/10.3389/feart.2021.664947Article