Tao Liu
Orcid: 0000-0001-5917-8303Affiliations:
- Oak Ridge National Laboratory, TN, USA
- University of Florida, School of Forest Resources and Conservation, Gainesville, FL, USA
- State University of New York, Department of Environmental Resources Engineering, Syracuse, NY, USA
According to our database1,
Tao Liu
authored at least 11 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
Reconstructing 42 Years (1979-2020) of Great Lakes Surface Temperature through a Deep Learning Approach.
Remote. Sens., September, 2023
Object-Detection from Multi-View remote sensing Images: A case study of fruit and flower detection and counting on a central Florida strawberry farm.
Int. J. Appl. Earth Obs. Geoinformation, September, 2023
2022
Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast.
Remote. Sens., 2022
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images - Analysis Unit, Model Scalability and Transferability.
Remote. Sens., 2022
2021
Accelerated Assessment of Critical Infrastructure in Aiding Recovery Efforts During Natural and Human-made Disaster.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
LandMOD ET mapper: A new matlab-based graphical user interface (GUI) for automated implementation of SEBAL and METRIC models in thermal imagery.
Environ. Model. Softw., 2019
Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
An Object-Based Image Analysis Method for Enhancing Classification of Land Covers Using Fully Convolutional Networks and Multi-View Images of Small Unmanned Aerial System.
Remote. Sens., 2018
2014
Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014