Emily R. Lines

According to our database, Emily R. Lines authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Low-Cost Tree Crown Dieback Estimation Using Deep Learning-Based Segmentation.

Matthew J. Allen, D. Moreno-Fernández, Paloma Ruiz-Benito, Stuart W. D. Grieve, Emily R. Lines

CoRR, 2024

Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset.

Stefano Puliti, Emily R. Lines, Jana Müllerová, Julian Frey, Zoe Schindler, Adrian Straker, Matt Allen, Lukas Winiwarter, Nataliia Rehush, Hristina Hristova, Brent Murray, Kim Calders, Louise Terryn, Nicholas C. Coops, Bernhard Höfle, Samuli Junttila, Martin Krucek, Grzegorz Krok, Kamil Král, Shaun R. Levick, Linda Luck, Azim Missarov, Martin Mokros, Harry J. F. Owen, Krzysztof Sterenczak, Timo P. Pitkänen, Nicola Puletti, Ninni Saarinen, Chris Hopkinson, Chiara Torresan, Enrico Tomelleri, Hannah Weiser, Rasmus Astrup

CoRR, 2024

Tree Genera Classifications in Spain Using Time-Series Sentinel-2 Data Extracted from Plottosat.

Milto Miltiadou, Emily R. Lines, Stuart W. D. Grieve, Paloma Ruiz-Benito, Julen Astigarraga, Verónica Cruz

Proceedings of the IGARSS 2024, 2024

2022

AI applications in forest monitoring need remote sensing benchmark datasets.

Emily R. Lines, Matt Allen, Carlos Cabo, Kim Calders, Amandine Debus, Stuart W. D. Grieve, Milto Miltiadou, Adam Noach, Harry J. F. Owen, Stefano Puliti

Proceedings of the IEEE International Conference on Big Data, 2022