研究方向为海洋生物光学和水色遥感。现阶段研究兴趣聚焦于海洋生物-光学特性、浮游植物对海洋极端事件的响应、海洋浮游植物初级生产力遥感估算模式构建及海洋碳循环等。以第一作者及通讯作者在Nature Communications、 Journal of Geophysical Research-Oceans, IEEETransactions on Geoscience and Remote Sensing等国内外高水平期刊发表论文十余篇，并担任Limnology and Oceanography、Global Biogeochemical Cycles、Remote Sensing of Environment、IEEE TGRS、Journal of remote sensing等领域内多个高水平期刊审稿人。主持国家自然科学基金青年科学基金项目、广东省区域联合基金青年基金项目等。

工作经历

2024.8—至今.    中山大学海洋科学学院,  副研究员

2021.7—2024.7  中山大学海洋科学学院,  博士后

教育经历

2016.9—2021.6  中国科学院南海海洋研究所,  博士  

2012.9—2016.6  天津科技大学,  学士

代表性论文（*为通讯作者）

(1) Bai Z., Deng L.#, et al. Extreme temperature events reshuffle the ecological landscape of the Southern Ocean. Nature Communications, 2025.
(2) Deng L., et al. Evaluation of satellite-derived size-fractionated phytoplankton primary production in the South China Sea. IEEE Transactions on Geoscience and Remote Sensing, 2023.
(3) Chen S., Deng L.*, et al. Enhanced reconstruction of satellite-derived monthly chlorophyll a concentration with Fourier Transform Convolutional-LSTM. IEEE Transactions on Geoscience and Remote Sensing, 2024.
(4) Deng L., et al. Estimation of vertical size-fractionated phytoplankton primary production in the northern South China Sea. Ecological Indicators, 2022.
(5) Deng L., Zhou W., Cao W., et al. Evaluating semi-analytical algorithms for estimating inherent optical properties in the South China Sea. Optics Express, 2020, 28(9): 13155–13176.
(6) Deng L., et al. Two-decade satellite observations reveal variability in size-fractionated phytoplankton primary production in the South China Sea. Deep-Sea Research Part I, 2024.
(7) Deng L., et al. A tropical cyclone-induced and satellite-detected chlorophyll a elevation accompanied by phytoplankton biomass decrease. Environmental Research Letters, 2025.
(8) Deng L., et al. Particle backscattering efficiency as an indicator of suspended particle composition and size in the Pearl River Estuary. Marine Pollution Bulletin, 2024.
(9) Deng L., Zhou W., Cao W., et al. Retrieving phytoplankton size class from the absorption coefficient and chlorophyll a concentration based on support vector machine. Remote Sensing, 2019, 11(9): 1054.
(10) Yang Z., Deng L.*, et al. A straightforward approach for the rapid detection of red Noctiluca scintillans blooms from satellite imagery. Marine Pollution Bulletin, 2024.
(11) Zhao J., Deng L.*, et al. Marine heatwave persistence drives phytoplankton miniaturization and productivity decline in the South China Sea. Journal of Geophysical Research: Oceans, 2026.
(12) He W.B., Deng L.*, et al. Concurrent atmospheric and marine heatwaves drive distinct phytoplankton size responses in polar and boundary current systems. Acta Oceanologica Sinica, 2026.
(13) Chen S.Y., Deng L.*, et al. MarineSIR: A Python application leveraging FTC-LSTM networks for marine satellite image reconstruction. Acta Oceanologica Sinica, 2026.
(14) Jiang B., Deng L.*, et al. Optical water type–guided benchmarking of machine learning generalization for Secchi disk depth retrieval. Remote Sensing, 2026.
(15) Deng L., et al. Vertical distribution of suspended particulate matter and its response to river discharge and seawater intrusion: a case study in the Pearl River Estuary during the 2020 dry season. Frontiers in Marine Science, 2023.
(16) Zhang Y., Deng L.*, et al. Sedimentary biogeochemical gradients across the Sunda Shelf in the South China Sea and correlations with satellite observations. Frontiers in Marine Science, 2024.