Sergio Iván Jiménez Jiménez | Remote Sensing | Best Researcher Award
Mr. Sergio Iván Jiménez Jiménez, National Institute for Forestry, Agriculture and Livestock Research (INIFAP), Mexico.
Sergio Iván Jiménez Jiménez is a researcher at the National Institute of Forestry, Agricultural, and Livestock Research 🌱🔬. He holds a Bachelor’s in Irrigation Engineering from Universidad Autónoma Chapingo (2012) and a Master’s in Water Sciences and Technology from IMTA (2017) 🎓💧. With expertise in hydraulic and hydrological modeling, GIS applications, and sustainable water management, he has worked in both private and public sectors. His research integrates remote sensing and UAV technology for agricultural irrigation efficiency 🌍🚀. A scientific committee member of the National Congress of Irrigation and Drainage (COMEII) since 2019, he actively contributes to water resource sustainability.
Publication Profile
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Education & Experience 

🎓 Education:
- Master of Science in Water Sciences and Technology (2017) – Instituto Mexicano de Tecnología del Agua 💧📊
- Bachelor’s in Irrigation Engineering (2012) – Universidad Autónoma Chapingo 🌱🎓
💼 Work Experience:
- Researcher – National Institute of Forestry, Agricultural, and Livestock Research 🌾🔬 (Present)
- Technician – Comisión Nacional del Agua (CONAGUA) 💧📡 (2019)
- Engineering Area Coordinator – HIDROWORLD S.A DE C.V 🏗️💼 (2017-2019)
- Technical Support in Projects – IMTA 🌍📊 (2015-2017)
- Irrigation System Designer – IRRICENTER S.A. DE C.V 💦 (2014-2015)
- Consultant in Natural Resource Management – COLMERN A.C. 🌍📈 (2012-2014)
Suitability Summary
Mr. Sergio Iván Jiménez Jiménez is a distinguished researcher in the field of water sciences, irrigation engineering, and hydraulic systems. With a strong academic background and extensive professional experience, he has made remarkable contributions to the sustainable use of water in agriculture, hydrological and hydraulic modeling, and geospatial analysis using satellite and UAV images. His dedication to research, innovation, and education makes him a highly suitable candidate for the Best Researcher Award.
Professional Development 

Sergio has continuously expanded his expertise in water resource management 🌊, geospatial technology 🛰️, and hydraulic engineering 🏗️. He has delivered specialized courses on Google Earth Engine (GEE) for engineering applications, modernization of pressurized irrigation systems, and UAV-based image processing 🛩️📊. He has also participated in advanced training programs on Python programming for geospatial analysis, ecological footprint assessment, and climate-adaptive irrigation techniques 🌿🌎. His commitment to professional growth extends to scientific writing, Matlab applications, and aerial photogrammetry. With his interdisciplinary skills, he actively integrates technology and sustainability to enhance water conservation in agriculture 🚜💦.
Research Focus 

Sergio’s research focuses on sustainable water resource management 💧🌱, emphasizing hydraulic system optimization, hydrological modeling, and precision irrigation. His work integrates remote sensing and UAV imagery 🛰️🛩️ to enhance water efficiency and monitor agricultural landscapes. He specializes in geospatial tools for hydraulic infrastructure assessment and climate-adaptive irrigation planning 🌍📡. By developing data-driven irrigation strategies, his research contributes to water conservation, soil health, and agricultural resilience. As a scientific committee member of COMEII, he collaborates on national research initiatives to address climate change challenges and advance sustainable farming practices 🌾♻️.
Awards & Honors 🏆
🏅 Scientific Committee Member – National Congress of Irrigation and Drainage (COMEII) (Since 2019)
🏆 Member – State System of Researchers of Durango (Since 2022)
🎖️ Best Research Contribution in Water Management – IMTA Recognition
🥇 Award for Excellence in Hydraulic Engineering Research – National Institute of Forestry, Agricultural, and Livestock Research
Publication Top Notes
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Digital Mapping of Vegetation Cover with UAV-Based Imagery 📡🌿
ISPRS International Journal of Geo-Information 10 (5), 4095-4098, 2021 – 183 citations -
Estimating Vegetation Fraction Using Remote Sensing 🌱📷
International Journal of Remote Sensing 40 (2), 420-438, 2019 – 109 citations -
Remote Sensing for Natural Hazard Risk Assessment 🌍🌊
Geomatics, Natural Hazards and Risk 11 (1), 906-927, 2020 – 53 citations -
VICAL: Global Calculator for Vegetation Indices Using Landsat & Sentinel Data 🛰️🌾
Agronomy 12 (7), 1518, 2022 – 24 citations -
UAV-Based Multispectral Imaging for Maize Crop Monitoring 🌾🌍
Agronomy 11 (4), 3369-3385, 2019 – 22 citations -
Remote Sensing of Agricultural Areas Using UAVs and Spectral Indices 🛩️🌍
Ingeniería Agrícola y Biosistemas 9 (2), 85-100, 2017 – 22 citations