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
Applied Computational Science and Engineering, Master of Science, Using the Power of Cloud Computing to Identify the Changes in the Spatial-Temporal Distribution of Drivers of Mangrove Deforestation in SE Asia, Imperial College London
Oct 2020 → Oct 2021
Award Date: 6 Aug 2021
Geography with Geocomputation and Spatial Analysis, Bachelor of Science, Vegetation responses to the seasonal anomalies of the North Atlantic Oscillation and early detection of droughts in Sicily, Italy, King's College London (KCL)
Sept 2017 → Sept 2020
Award Date: 7 Aug 2020
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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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Increasing mercury bioaccumulation and biomagnification rates of Nile perch (Lates niloticus L.) in Winam Gulf, Lake Victoria, Kenya
the NSF-IRES Lake Victoria Research Consortium, 15 Mar 2024, In: Science of the Total Environment. 916, 170059.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
LAQUA: a LAndsat water QUality retrieval tool for east African lakes
Byrne, A., Lomeo, D., Owoko, W., Chadwick, M., Norris, K. & Tebbs, E., 8 Aug 2024, In: REMOTE SENSING. 16, 16, 23 p., 2903.Research output: Contribution to journal › Article › peer-review
Open Access -
Satellite Earth Observation for the Sustainable Management of the African Great Lakes
Tebbs, E., Byrne, A., Lomeo, D., Thompson, H., Owoko, W., Nyaga, J., Ongore, C., Last, J., Migeni, Z. & Everitt, L., 2023, King's College London.Research output: Book/Report › Report
Open AccessFile456 Downloads (Pure) -
Cloud-Based Monitoring and Evaluation of the Spatial-Temporal Distribution of Southeast Asia’s Mangroves Using Deep Learning
Lomeo, D. & Singh, M., 10 May 2022, In: REMOTE SENSING. 14, 10, 20 p., 2291.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)119 Downloads (Pure)