Yoseline Betzaida Angel Lopez
(Post-Doctoral Associate)
| Email: | yoseline.b.angellopez@nasa.gov |
| Org Code: | 618 |
| Address: |
NASA/GSFC Mail Code 618 Greenbelt, MD 20771 |
| Employer: | UNIV OF MARYLAND COLLEGE PARK |
Brief Bio
Dr. Yoseline Angel is a scientist and engineer specializing in remote sensing and geoscience. Her research interests and experience focus on modeling terrestrial vegetation-environment interactions using in-situ, UAV, airborne, and spaceborne imaging spectroscopy. Her expertise includes monitoring plant phenology, crop phenotyping, productivity, and health in various habitats, from deserts to tropical forests. Before starting her career in science, Dr. Angel managed multidisciplinary GIS projects in the Oil & and Gas industry, characterized several Environmental Management Plans (EMP) in the Orinoco oil basin, and collaborated with the Integrated Illicit Crops Monitoring System (SIMCI) of the United Nations in Colombia. She holds a Ph.D. in Environmental Sciences and Engineering from the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, an MSc in Geomatics from the National University of Colombia, and a BS in Cadastral Engineering and Geodesy from the District University of Bogota.
Contact:
www.linkedin.com/in/yoselineangel
Research Interests
Remote sensing of biosphere vegetation
Earth Science: Biosphere Vegetation Physiology & FunctionModeling plant functional traits and plant-environmental interactions from hyperspectral remote sensing products to support ecological and agriculture mapping and monitoring across spatiotemporal scales.
Food security and Precision Agriculture
Water and food security issues, climate change impacts, precision agriculture, natural resources monitoring and modeling.
Education
2021 Ph.D. in Environmental Sciences and Engineering - KAUST
2012 Master in Geomatics - National University of Colombia
2006 Cadastral Engineer and Geodesist - District University 'Francisco Jose de Caldas'
Awards
Global Winner / NASA SpaceApps Challenge COVID-19, 2020
Category: Food for Thought, Project: SOSQUA-Harvesting beyond food
Publications
Refereed
2025. "Deciphering the spectra of flowers to map landscape‐scale blooming dynamics.", Ecosphere, 16 (2): [10.1002/ecs2.70127] [Journal Article/Letter]
2022. "Remote Detection and Monitoring of Plant Traits: Theory and Practice.", Annual Plant Reviews online, 5 (3): 313-344 [10.1002/9781119312994.apr0778] [Journal Article/Letter]
2022. "Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors.", Frontiers in Plant Science, 13 [10.3389/fpls.2022.722442] [Journal Article/Letter]
2021. "Combining Nadir, Oblique, and Façade Imagery Enhances Reconstruction of Rock Formations Using Unmanned Aerial Vehicles.", IEEE Transactions on Geoscience and Remote Sensing, 59 (12): 9987-9999 [10.1109/tgrs.2020.3047435] [Journal Article/Letter]
2021. "Monitoring crop development and health using UAV-based hyperspectral imagery and machine learning.", Ph.D. Dissertation, [10.25781/KAUST-K738X] [Other]
2021. "Desert fish populations tolerate extreme salinity change to overcome hydrological constraints.", , [10.1101/2021.05.14.444120] [Journal Article/Letter]
2020. "Predicting Biomass and Yield in a Tomato Phenotyping Experiment Using UAV Imagery and Random Forest.", Frontiers in Artificial Intelligence, 3 [10.3389/frai.2020.00028] [Journal Article/Letter]
2019. "Automated Georectification and Mosaicking of UAV-Based Hyperspectral Imagery from Push-Broom Sensors.", Remote Sensing, 12 (1): 34 [10.3390/rs12010034] [Journal Article/Letter]
2019. "Radiometric Assessment of a UAV-Based Push-Broom Hyperspectral Camera.", Sensors, 19 (21): 4699 [10.3390/s19214699] [Journal Article/Letter]
2019. "Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery.", Remote Sensing, 11 (10): 1145 [10.3390/rs11101145] [Journal Article/Letter]
2019. "A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat.", Remote Sensing, 11 (8): 920 [10.3390/rs11080920] [Journal Article/Letter]
2019. "Unmanned Aerial Vehicle-Based Phenotyping Using Morphometric and Spectral Analysis Can Quantify Responses of Wild Tomato Plants to Salinity Stress.", Frontiers in Plant Science, 10 [10.3389/fpls.2019.00370] [Journal Article/Letter]
2016. "Detection of chlorophyll and leaf area index dynamics from sub-weekly hyperspectral imagery.", Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII, [10.1117/12.2241345] [Proceedings]
2012. "Methodology to identify coca crops using Red Edge indices and imaging spectroscopy.", Master Dissertation, [https://repositorio.unal.edu.co/handle/unal/10405] [Other]