Sciences and Exploration Directorate

Yoseline Betzaida Angel Lopez

(Post-Doctoral Associate)

Yoseline Betzaida Angel Lopez's Contact Card & Information.
Org Code: 618
Mail Code 618
Greenbelt, MD 20771

Brief Bio

Scientist and engineer. Dr. Yoseline Angel has experience modeling plant functional traits and plant-environmental interactions using in-situ, UAV, airborne, and spaceborne imaging spectroscopy technology. Her expertise includes monitoring crop status-productivity and plant health in desertic, forest, and wetland habitats. In addition to her research career, which started in 2016, Yoseline has ten years of experience as an engineer managing and developing multidisciplinary Geographic Information System (GIS) projects in the O&G industry, spatially characterizing ecosystems and conservation areas in the Orinoco and Amazon basins, implementing high-accuracy GNSS field networks, and lecturing remote sensing and GIS.


Research Interests

Remote sensing of biosphere vegetation

Earth Science: Biosphere Vegetation Physiology & Function

Modeling plant functional traits and plant-environmental interactions from hyperspectral remote sensing products to support ecological and agriculture mapping and monitoring across spatiotemporal scales.


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'


Global Winner / NASA SpaceApps Challenge COVID-19, 2020

Category: Food for Thought, Project: SOSQUA-Harvesting beyond food



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 [] [Other]