+91-8172999940
deepakl@shuats.edu.in
Centre for Geospatial Technologies
+91-8172999940
deepakl@shuats.edu.in
Centre for Geospatial Technologies
Educational Details
Graduated in 2017
Graduated in 2006
Graduated in 2001
Professional Summary
Dr. Deepak Lal is an agriculture and irrigation engineer with over 20 years of international research, teaching, and consulting experience, specializing in the application of geospatial technologies (Remote Sensing and GIS) for sustainable agriculture, irrigation management, and natural resource planning. He holds an M.S. in Irrigation Engineering from Utah State University, USA, and a Ph.D. in Irrigation and Drainage Engineering from Sam Higginbottom University of Agriculture, Technology & Sciences (SHUATS), India. In recognition of his academic excellence, he has been awarded multiple scholarships and merit certificates.
His professional journey spans India, the USA, and The Netherlands. At Utah State University’s Remote Sensing Services Laboratory, he operated aircraft-based multispectral and thermal imaging systems and processed aerial/satellite data to generate decision-ready insights for various crops and resource management. At Davids Engineering Inc. (USA), he served as a Remote Sensing Specialist and Agriculture/Irrigation Engineer, leading consulting projects on irrigation management, hydrological studies, and crop health monitoring. In The Netherlands, Dr. Lal further advanced his expertise by applying the Surface Energy Balance Algorithm for Land (SEBAL) to model evapotranspiration/crop water requirements and optimize water resource use.
Since 2013, Dr. Lal has been associated with SHUATS, where he established and currently heads the Centre for Geospatial Technologies. He also serves as Dean of Post Graduate Studies, contributing to academic leadership, curriculum development, and student mentorship. His research and consulting projects cover crop health/yield prediction, water use efficiency assessment, precision agriculture, and resource management.
An active scholar, Dr. Lal has authored numerous project reports, peer-reviewed articles, and book chapters, and has been invited to deliver lectures, trainings, and keynote talks at government organizations, universities, and international forums. Recognized for his leadership and expertise, he continues to bridge science, technology, and practice to advance geospatial solutions for agriculture and water resource management globally.
Area of Specialization
Remote Sensing, GIS & Geospatial Data Analytics, Precision Agriculture, Irrigation Engineering, Water Resource Management & Evapotranspiration Modelling (SEBAL, METRIC), Crop Health Monitoring, Yield Prediction, Land Use/Land Cover Change, International Consulting & Applied Research in Agriculture and Water ManagementExpertise
Teaching & Academic Leadership
Experience in teaching undergraduate, postgraduate, and doctoral students in Remote Sensing, GIS, Irrigation & Drainage Engineering, Soil & Water Conservation, and Water Resource Management.
Currently serving as Professor, Dean of Post Graduate Studies, and Head of the Centre for Geospatial Technologies at SHUATS, India.
Guided numerous Ph.D. and master’s scholars as well as undergraduate students, developed curricula, and coordinated academic programs that integrate emerging technologies with applied agricultural sciences.
Research (Dry & Wet Lab)
Expertise in dry lab research, including geospatial modeling, spatial analysis, and simulation for crop yield prediction, crop health monitoring, evapotranspiration, and water use efficiency.
Experienced in wet lab and field-based studies, such as irrigation trials, crop water production function development, evapotranspiration measurement/estimation, and soil and water conservation research.
Authored numerous peer-reviewed journal articles, book chapters, project reports, and technical papers in leading international publications.
Industry & Consulting Experience
International exposure across India, USA, and The Netherlands with practical consulting and applied research.
At Remote Sensing Services Laboratory (Utah State University, USA), operated multispectral/thermal imaging systems for crop and water management studies.
At Davids Engineering Inc. (USA), served as a Remote Sensing Specialist and Agriculture/Irrigation Engineer, contributing to projects on irrigation efficiency, hydrological studies, and crop health monitoring.
In The Netherlands, further advanced his expertise on Surface Energy Balance Algorithm for Land Surfaces (SEBAL) for evapotranspiration and water resource modeling.
Intellectual Property
Patent: Co-inventor of Groundwater Recharge System for Selecting Potential Sites for the Establishment of an Artificial Groundwater Recharge, German Utility Model No. 20 2022 101 611 (Registered April 13, 2022).
Publications
Peer Reviewed
Pal, A., Kumar, M., Suryavanshi, S., Kumar, N., Tyagi, K., Menon, J., Singh, P., & Lal, D. (2025). Soil Erosion Assessment Using the RUSLE Model and Geospatial Techniques (Remote Sensing and GIS) in Kalyani River Watershed of Uttar Pradesh, India. Asian Journal of Agricultural and Environmental Sciences, 43(12), 2681. https://doi.org/10.9734/ajeaes/2025/v43i12681
Pal, A., Kumar, M., Suryavanshi, S., Kumar, N., Wesley, C. J., & Lal, D. (2024). Monitoring Land Use and Land Cover Change Through Earth Observation Datasets and Metric Analysis in the Barabanki District, Uttar Pradesh, India. Current Journal of Applied Science and Technology, 43(9), 4430.
Book Chapters
Conference Proceedings
Conferences
Teaching Experience
Dr. Deepak Lal has extensive experience teaching at the undergraduate, postgraduate, and doctoral levels, with a focus on agricultural engineering, irrigation, water resources, and geospatial technologies. His teaching integrates theory with practical applications, combining classroom instruction with hands-on training in remote sensing, GIS, hydrological modeling, and resource management.
He emphasizes the development of both technical competence and transferable skills, encouraging students to apply analytical tools such as geospatial softwares, numerical modeling, and data visualization to solve real-world problems. To enhance student learning, he also integrates soft skills training, including professional communication, effective presentation techniques, and the use of digital tools for problem-solving.
His approach is rooted in experiential learning and mentorship, ensuring that students not only gain subject knowledge but also cultivate the critical thinking, technical proficiency, and professional confidence needed to excel in research, academia, and industry.
Other
Awards & Honors
Certifications/Trainings