Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Data Science, PhD, Estimating And Projecting Environmental Indicators Using Satellite Data And Machine Learning, MONASH UNIVERSITY
Award Date: 23 Aug 2023
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Deep Learning for Satellite Image Time-Series Analysis: A review
Miller, L., Pelletier, C. & Webb, G. I., Sept 2024, In: IEEE Geoscience and Remote Sensing Magazine. 12, 3, p. 81-124 44 p.Research output: Contribution to journal › Article › Research › peer-review
21 Citations (Scopus) -
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Foumani, N. M., Miller, L., Tan, C. W., Webb, G. I., Forestier, G. & Salehi, M., 25 Apr 2024, In: ACM Computing Surveys. 56, 9, 45 p., 217.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile60 Citations (Scopus) -
Projecting live fuel moisture content via deep learning
Miller, L., Zhu, L., Yebra, M., Rüdiger, C. & Webb, G. I., 2023, In: International Journal of Wildland Fire. 32, 5, p. 709-727 19 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile10 Citations (Scopus) -
Multi-modal temporal CNNs for live fuel moisture content estimation
Miller, L., Zhu, L., Yebra, M., Rüdiger, C. & Webb, G. I., Oct 2022, In: Environmental Modelling and Software. 156, 24 p., 105467.Research output: Contribution to journal › Article › Research › peer-review
15 Citations (Scopus) -
Live fuel moisture content estimation from MODIS: a deep learning approach
Zhu, L., Webb, G. I., Yebra, M., Scortechini, G., Miller, L. & Petitjean, F., Sept 2021, In: ISPRS Journal of Photogrammetry and Remote Sensing. 179, p. 81-91 11 p.Research output: Contribution to journal › Article › Research › peer-review
31 Citations (Scopus)