• Cloud remote sensing
• Drohnen-Mapping
• Geodatenanalyse
• Verh?ltnis zwischen Klima- und Umweltvariablen

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• seit 11/2024 Wissenschaftlicher Mitarbeiter am Lehrstuhl für Klimaresilienz von Kultur?kosystemen, Universit?t Augsburg
• seit? 03/2024, MSc student in Data Science, 威尼斯赌博游戏_威尼斯赌博app-【官网】 Oberta de Catalunya, Spain.
• 03/2013 - 10/2024 Assistant Professor, Salesian Polytechnic 威尼斯赌博游戏_威尼斯赌博app-【官网】 (UPS) Ecuador.
• 06/2024 - 11/2024 Climate Policy Analyst Consultant in GeoAgro team project. ICARDA.
• 08/2021 - 07/2024 International Geospatial Consultant, International Center for Tropical Agriculture (CIAT) Colombia.
• 07/2016 - 12/2019 PhD in Surveying Engineering, Faculty of Sciences, 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Porto, Portugal.
• 03/2011 - 05/2014 Master in Environmental Management, ESPE, Ecuador.
• 10/2005 - 02/2011 Bachelor in Geographic and Environmental Engineering, ESPE, Ecuador.

• Alvarez, C.I.; López, S.; Vásquez, D.; Gualotu?a, D. Assessing Air Quality Dynamics during Short-Period Social Upheaval Events in Quito, Ecuador, Using a Remote Sensing Framework. Remote Sens. 2024, 16, 3436. https://doi.org/10.3390/rs16183436
• Mitra, A.; Alvarez, C.I.; Abbasi, A.O.; Harris, N.L.; Shao, G.; Pijanowski, B.C.; Jahanshahi, M.R.; Gamarra, J.G.P.; Kim, H.-S.; Kim, T.-K.; et al. Mapping Planted Forests in the Korean Peninsula Using Artificial Intelligence. Forests 2024, 15, 1216. https://doi.org/10.3390/f15071216
• Sanchez, E.F.; Alvarez, C.I. Prioritization of Hydrological Restoration Areas Using AHP and GIS in Dulcepamba River Basin in Bolivar–Ecuador. Hydrology 2024, 11, 81. https://doi.org/10.3390/hydrology11060081
• Mora, J.J., Selvaraj, M.G., Alvarez, C.I. et al. From pixels to plant health: accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning. Discov Appl Sci 6, 377 (2024). https://doi.org/10.1007/s42452-024-06073-z
• Velez, A.F., Alvarez, C.I., Navarro, F. et al. Assessing methane emissions from paddy fields through environmental and UAV remote sensing variables. Environ Monit Assess 196, 574 (2024). https://doi.org/10.1007/s10661-024-12725-9
• Valverde L, ?lvarez CI and Gualotu?a D (2024) Remote sensing-based estimation of precipitation data (2000-2015) in Ecuador's Loja province. Front. Environ. Sci. 12:1408866. doi: 10.3389/fenvs.2024.1408866, Frontiers | Remote sensing-based estimation of precipitation data (2000-2015) in Ecuador's Loja province
• Abbasi, A.O., Tang, X., Harris, N.L., Alvarez, C.I., et al. Spatial database of planted forests in East Asia. Sci Data 10, 480 (2023). https://doi.org/10.1038/s41597-023-02383-w
• Alvarez-Mendoza, C.I. (2023). The Use of Remote Sensing in Air Pollution Control and Public Health. In: López, S. (eds) Socio-Environmental Research in Latin America. The Latin American Studies Book Series. Springer, Cham. https://doi.org/10.1007/978-3-031-22680-9_7
• Alvarez-Mendoza, C.I., et al. (2022) Predictive Modeling of Above-Ground Biomass in Brachiaria Pastures from Satellite and UAV Imagery Using Machine Learning Approaches. Remote Sens. 2022, 14, 5870. https://doi.org/10.3390/rs14225870
• Alvarez-Mendoza CI, Teodoro A, et al. (2020) Spatial modelling of chronic respiratory diseases based on machine learning techniques -an approach using remote sensing data and environmental variables. Elsevier Applied Geography. doi: https://doi.org/10.1016/j.apgeog.2020.102273
• Alvarez-Mendoza CI, Teodoro A, Torres N, et al (2019) Spatial modelling of PM10 considering different remote sensing data in Quito, Ecuador. MDPI Environment. DOI: https://www.mdpi.com/2076-3298/6/7/85
• Alvarez-Mendoza CI, Teodoro A, Ramirez-Cando L (2019) Spatial estimation of surface ozone concentrations in Quito, Ecuador, with remote sensing data, air pollution measurements, and meteorological variables. Environmental Monitoring and Assessment. DOI: 10.1007/s10661-019-7286-6 Spatial estimation of surface ozone concentrations in Quito Ecuador with remote sensing data, air pollution measurements and meteorological variables | Environmental Monitoring and Assessment
• Alvarez-Mendoza CI, Teodoro A, Ramirez-Cando L (2019) Improving NDVI by removing cirrus clouds with optical remote sensing data from Landsat-8 – A case study in Quito, Ecuador. Remote Sens Appl Soc Environ 13:257–274. DOI: 10.1016/j.rsase.2018.11.008 Improving NDVI by removing cirrus clouds with optical remote sensing data from Landsat-8 – A case study in Quito, Ecuador - ScienceDirect

• https://www.researchgate.net/profile/Cesar_Alvarez-Mendoza

• https://scholar.google.es/citations?user=50ILKdkAAAAJ&hl=es

• https://orcid.org/0000-0001-5629-0893

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Senior Member IEEE (2024-date)

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