GridFinder
Published:
Interactive web tool to explore and compare satellite tile footprints across 8 missions (Landsat, Sentinel‑2, MODIS, ASTER, and more).
Posts by Collection
portfolio
publications
Crowdsourcing of COVID-19 Symptoms Map in Ecuadorians
Published in Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education and Technology, 2021
This paper presents a crowdsourced digital-form platform used to map self-reported COVID-19 symptoms across Guayaquil, Ecuador, identifying La Aurora and La Puntilla as the areas with highest symptom prevalence among 1,450 participants.
Recommended citation: Ching-Ávalos, S., Jaramillo-Lindao, Y., Velastegui-Montoya, A., Encalada, L., Chang-Silva, R., & Mosquera-Romero, M. (2021). "Crowdsourcing of COVID-19 Symptoms Map in Ecuadorians." Proceedings of the 19th LACCEI International Multi-Conference for Engineering, Education and Technology, Virtual, July 19–23, 2021. Full Paper #124. https://doi.org/10.18687/laccei2021.1.1.124
Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network
Published in Chemosphere, 2023
This paper develops LSTGraphNet, a spatiotemporal long-short term graph convolutional network for multi-time-scale PM2.5 forecasting across a 30-station monitoring network in Gyeonggi-do, South Korea, supporting urban health risk assessment.
Recommended citation: Chang-Silva, R., Tariq, S., Loy-Benitez, J., & Yoo, C. (2023). "Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network." Chemosphere. 335, 139071. https://doi.org/10.1016/j.chemosphere.2023.139071
Predicting Flash Droughts Using Transformers: Understanding Surface and Root Zone
Published in EGU General Assembly 2024, Vienna, Austria, 2024
This EGU General Assembly 2024 abstract presents a transformer-based forecasting system for surface and root-zone soil moisture, targeting early detection of flash drought onset over North America using NLDAS reanalysis data.
Recommended citation: Chang-Silva, R., & Park, S. (2024). "Predicting Flash Droughts Using Transformers: Understanding Surface and Root Zone." EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-3793. https://doi.org/10.5194/egusphere-egu24-3793
Satellite-informed smart sensor placement framework for near-optimal PM2.5 monitoring in urban areas
Published in Environmental Science and Pollution Research, 2024
This paper proposes a multi-criteria, NSGA-II-based optimization algorithm that integrates geographical covariates and satellite-derived surface PM2.5 estimates to identify near-optimal air quality sensor placements in urban areas.
Recommended citation: Chang-Silva, R., Tariq, S., Kim, S., Moosazadeh, M., Park, S., & Yoo, C. (2024). "Satellite-informed smart sensor placement framework for near-optimal PM2.5 monitoring in urban areas." Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-024-35568-w
Graph Attention Sensor Transformer for Industrial Emission Forecasting: A Comparative Study Against Classical and Deep Learning Baselines
Published in Mathematical Geosciences, 2026
This paper introduces a Graph Attention Sensor Transformer that models inter-sensor spatial dependencies and temporal dynamics for industrial emission forecasting, benchmarked against classical statistical and deep learning baselines.
Recommended citation: Chang-Silva, R., Song, N., Lee, K., & Park, S. (2026). "Graph Attention Sensor Transformer for Industrial Emission Forecasting: A Comparative Study Against Classical and Deep Learning Baselines." Mathematical Geosciences. https://doi.org/10.1007/s11004-026-10320-x
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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