401304. Photogrammetry and remote sensing
| Title | 401304. Photogrammetry and remote sensing |
|---|---|
| Parent | 4013. Geomatic engineering |
Latest research outputs
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GIS Surveying of Dam Site Selection as Flood Mitigation Plan for Wivenhoe Dam
Zytoon, Aseel. 2024. GIS Surveying of Dam Site Selection as Flood Mitigation Plan for Wivenhoe Dam. Masters Thesis Master of Science (Research). University of Southern Queensland. https://doi.org/10.26192/zqyvwMasters Thesis
Granular characterisation of coal spoil dump using unmanned aerial vehicle data to enhance stability analysis
Thiruchittampalam, Sureka, Banerjee, Bikram Pratap, Glenn, Nancy Fraser, McQuillan, Alison and Raval, Simit. 2024. "Granular characterisation of coal spoil dump using unmanned aerial vehicle data to enhance stability analysis." Journal of Rock Mechanics and Geotechnical Engineering. https://doi.org/10.1016/j.jrmge.2024.09.044Article
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
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
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
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
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/10.3390/ijgi12050194Article
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
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
Multidecadal Sea Level Variability in the Baltic Sea and Its Impact on Acceleration Estimations
Agha Karimi, Armin, Bagherbandi, Mohammad and Horemuz, Milan. 2021. "Multidecadal Sea Level Variability in the Baltic Sea and Its Impact on Acceleration Estimations." Frontiers in Marine Science. 8, pp. 1-12. https://doi.org/10.3389/fmars.2021.702512Article
Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia
Agha Karimi, Armin, Andersen, Ole Baltazar and Deng, Xiaoli. 2021. "Mean sea surface and mean dynamic topography determination from Cryosat-2 data around Australia." Advances in Space Research. 68 (2), pp. 1073-1089. https://doi.org/10.1016/j.asr.2020.01.009Article
Barystatic and steric sea level variations in the Baltic Sea and implications of water exchange with the North Sea in the satellite era
Agha Karimi, Armin, Ghobadi-Far, Khosro and Passaro, Marcello. 2022. "Barystatic and steric sea level variations in the Baltic Sea and implications of water exchange with the North Sea in the satellite era." Frontiers in Marine Science. 9, pp. 1-8. https://doi.org/10.3389/fmars.2022.963564Article
Crack Detection in Concrete Structures Using Deep Learning
Golding, Vaughn Peter, Gharineiat, Zahra, Munawar, Hafiz Suliman and Ullah, Fahim. 2022. "Crack Detection in Concrete Structures Using Deep Learning." Sustainability. 14 (13), pp. 1-25. https://doi.org/10.3390/su14138117Article
Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters
Choudhury, Malini Roy, Christopher, Jack, Das, Sumanta, Apan, Armando, Menzies, Neal W., Chapman, Scott, Mellor, Vincent and Dang, Yash P.. 2022. "Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters." Environmental Technology and Innovation. 27, pp. 1-14. https://doi.org/10.1016/j.eti.2022.102469Article
A Framework for Burnt Area Mapping and Evacuation Problem Using Aerial Imagery Analysis
Munawar, Hafiz Suliman, Gharineiat, Zahra, Akram, Junaid and Khan, Sara Imran. 2022. "A Framework for Burnt Area Mapping and Evacuation Problem Using Aerial Imagery Analysis." Fire. 5 (4), pp. 1-15. https://doi.org/10.3390/fire5040122Article
3D LoD2 and LoD3 Modeling of Buildings with Ornamental Towers and Turrets Based on LiDAR Data
Lewandowicz, Elzbieta, Tarsha Kurdi, Fayez and Gharineiat, Zahra. 2022. "3D LoD2 and LoD3 Modeling of Buildings with Ornamental Towers and Turrets Based on LiDAR Data." Remote Sensing. 14 (19), pp. 1-17. https://doi.org/10.3390/rs14194687Article
Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine Learning Techniques
Gharineiat, Zahra, Tarsha Kurdi, Fayez and Campbell, Glenn. 2022. "Review of Automatic Processing of Topography and Surface Feature Identification LiDAR Data Using Machine Learning Techniques." Remote Sensing. 14 (19), pp. 1-24. https://doi.org/10.3390/rs14194685Article
Comparative Approach of Unmanned Aerial Vehicle Restrictions in Controlled Airspaces
McTegg, Stephen, Kurdi, Fayez, Simmons, Shane and Gharineiat, Zahra. 2022. "Comparative Approach of Unmanned Aerial Vehicle Restrictions in Controlled Airspaces." Remote Sensing. 14 (4), pp. 1-30. https://doi.org/10.3390/rs14040822Article
Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques
Das, Sumanta, Christopher, Jack, Choudhury, Malini Roy, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P.. 2022. "Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques." Biosystems Engineering. 217, pp. 68-82. https://doi.org/10.1016/j.biosystemseng.2022.03.004Article
Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof
Tarsha Kurdi, Fayez, Gharineiat, Zahra, Campbell, Glenn, Awrangjeb, Mohammad and Dey, Emon Kumar. 2022. "Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof." Remote Sensing. 14 (2), pp. 1-23. https://doi.org/10.3390/rs14020430Article
Full series algorithm of automatic building extraction and modelling from LiDAR data
Tarsha Kurdi, Fayez, Gharineiat, Zahra, Campbell, Glenn, Dey, Emon Kumar and Awrangjeb, Mohammad. 2021. "Full series algorithm of automatic building extraction and modelling from LiDAR data." Zhou, Jun, Salvado, Olivier, Sohel, Ferdous, Borges, Paulo and Wang, Shilin (ed.) 2021 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2021). Gold Coast, Australia 29 Nov - 01 Dec 2021 United States.Paper
Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR
Banerjee, Bikram Pratap and Raval, Simit. 2022. "Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR." International Journal of Coal Science and Technology. 9 (1), pp. 1-16. https://doi.org/10.1007/s40789-022-00509-wArticle
Application of Sentinel-2 Satellite Data to Map Forest Cover in Southeast Sri Lanka through the Random Forest Classifier
Gunawansa, Thakshila, Perera, Kithsiri, Apan, Armando and Hettiarachchi, Nandita. 2022. "Application of Sentinel-2 Satellite Data to Map Forest Cover in Southeast Sri Lanka through the Random Forest Classifier." Journal of Advances in Engineering and Technology. I (I), pp. 049-1 to 049-10.Article
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
Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam
Pakdel-Khasmakhi, Hadis, Vazifedoust, Majid, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2022. "Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam." ISPRS International Journal of Geo-Information. 11 (11), pp. 1-28. https://doi.org/10.3390/ijgi11110535Article