Engineering Commons^™

Water Banking As A Strategy For The Management And Conservation Of A Critical Resource: A Case Study From Tunisia's Medjerda River Basin (Mrb), Aymen Sawassi, Roula Khadra, Brian Crookston

Civil and Environmental Engineering Faculty Publications

The increasingly adverse impacts of climate change (e.g., rainfall patterns, droughts, and floods), coupled with the ever-increasing water demands, are often translated into a contingent liability for water users' communities. Additional complexities arise due to competing priorities, water rights, and transboundary water sources. Therefore, conventional water management practices should shift toward more comprehensive and responsive integrative approaches, even for systems with limited data. Furthermore, water managers must prioritize dynamic and interactive management techniques for existing systems. One such management technique is water banking, which is the focus of this study. Herein, a dynamic interactive water allocation model, which encompasses the …

Utilizing Hybrid Machine Learning Techniques And Gridded Precipitation Data For Advanced Discharge Simulation In Under-Monitored River Basins, Reza Morovati, Ozgur Kisi

Civil and Environmental Engineering Faculty Publications

This study addresses the challenge of utilizing incomplete long-term discharge data when using gridded precipitation datasets and data-driven modeling in Iran's Karkheh basin. The Multilayer Perceptron Neural Network (MLPNN), a rainfall-runoff (R-R) model, was applied, leveraging precipitation data from the Asian Precipitation—Highly Resolved Observational Data Integration Toward Evaluation (APHRODITE), Global Precipitation Climatology Center (GPCC), and Climatic Research Unit (CRU). The MLPNN was trained using the Levenberg–Marquardt algorithm and optimized with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Input data were pre-processed through principal component analysis (PCA) and singular value decomposition (SVD). This study explored two scenarios: Scenario 1 (S1) used in …

Water Stress Index And Stomatal Conductance Under Different Irrigation Regimes With Thermal Sensors In Rice Fields On The Northern Coast Of Peru, Lia Ramos-Fernández, Maria Gonzales-Quiquia, José Huanuqueño-Murillo, David Tito-Quispe, Elizabeth Heros-Aguilar, Lisveth Flores Del Pino, Alfonso Torres-Rua

Civil and Environmental Engineering Faculty Publications

In the face of the climate change crisis, the increase in air temperature negatively impacts rice crop productivity due to stress from water scarcity. The objective of this study was to determine the rice crop water stress index (CWSI) and stomatal conductance (Gs) under different irrigation regimes, specifically continuous flood irrigation treatments (CF) and irrigations with alternating wetting and drying (AWD) at water levels of 5 cm, 10 cm, and 20 cm below the soil surface (AWD₅, AWD₁₀, and AWD₂₀) in an experimental area of INIA-Vista Florida and in six commercial areas of the …

Reproducibility Starts At The Source: R, Python, And Julia Packages For Retrieving Usgs Hydrologic Data, Timothy O. Hodson, Laura A. Decicco, Jayaram A. Hariharan, Lee F. Stanish, Scott Black, Jeffery S. Horsburgh

Civil and Environmental Engineering Faculty Publications

Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data retrieval represent a critical component in reproducible scientific workflows. Earth science is no different in this regard. To fulfill that basic need, we developed R, Python, and Julia packages providing programmatic access to the U.S. Geological Survey’s National Water Information …

Antimicrobial Efficacy And Hplc Analysis Of Polyphenolic Compounds In A Whole-Plant Extract Of Eryngium Campestre, Abdulaziz A. Al-Askar, Shimaa Bashir, Abdallah E. Mohamed, Omaima A. Sharaf, Rokaia Nabil, Yiming Su, Ahmed Abdelkhalek, Said I. Behiry

Civil and Environmental Engineering Faculty Publications

Due to the constant increase in the number of plant diseases and the lack of available treatments, there has been a growing interest in plant extracts over the past few decades. Numerous studies suggest that plant extract molecules possess valuable antimicrobial activities, particularly against fungi and bacteria. This suggests that these biomaterials could potentially serve as attractive therapeutic options for the treatment of phytopathogen infections. In the present study, we investigated and analyzed the methanolic extract of Eryngium campestre L. whole plant extract using HPLC. The analysis revealed the presence of several polyphenolic constituents, with benzoic acid, catechol, quercetin, vanillic …

Treatability Study Of Car Wash Wastewater Using Upgraded Physical Technique With Sustainable Flocculant, Mai Fayed, M. A. Shewitah, R. Ryan Dupont, Mohamed Fayed, Mai M. Badr

Civil and Environmental Engineering Faculty Publications

Grease, oil, hydrocarbon residues, heavy metals, and surfactants are all present in car wash wastewater (CWW), which all can have detrimental effects on the environment and human health. This study was designed to assess CWW treatment using an upgraded physical technique combined with a range of conventional and more sustainable coagulants. Physical treatment effectively lowered the oil and grease (O&G) and chemical oxygen demand (COD) of the CWW by 79 ± 15% and 97 ± 1.6%, respectively. Additional treatment was provided using chemical coagulation–flocculation– settling. In jar test studies, humic acid (HA) and alum were found to provide significantly higher …

Evaluation Of Temperature-Index And Energy-Balance Snow Models For Hydrological Applications In Operational Water Supply Forecasts, Tian Gan, David G. Tarboton, Tseganeh Z. Gichamo

Civil and Environmental Engineering Faculty Publications

In the western United States, snow accumulation, storage, and ablation affect seasonal runoff. Thus, the prediction of snowmelt is essential to improve the reliability of water supply forecasts to guide water allocation and operational decisions. The current method used at the Colorado Basin River Forecast Center (CBRFC) couples the SNOW-17 temperature index snow model and the Sacramento Soil Moisture Accounting (SAC-SMA) runoff model in a lumped approach. Limitations in parameter transferability and calibration requirements for changing conditions with the temperature-index model motivated this research, in which new avenues were investigated to assess and prototype the application of an energy-balance snow …

Swietenia Mahagoni Leaves Extract: Antifungal, Insecticidal, And Phytochemical Analysis, Wael M. Khamis, Ahmed A. Heflish, Sarah El-Messeiry, Said I. Behiry, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Mohamed K. Gaber

Civil and Environmental Engineering Faculty Publications

In this study, we investigated the antifungal properties of an acetone extract derived from the leaves of Swietenia mahagoni (SMAL) against two isolated fungi, Fusarium equiseti (OQ820153) and Rhizoctonia solani (OQ820152), from rice sheath. The extract was effective in inhibiting the growth of both fungi at the highest concentration tested, 3000 μg·mL⁻¹. Laboratory tests on the LC20 of SMAL extract (49.86 mg·L⁻¹) versus pyriproxyfen 10% EC (1.96 mg·L⁻¹) were accomplished on Aphis gossypii Glover. The extract potently reduced the survival of the nymphs (49.58%) more than the other treatments. The longevity of nymphs treated …

Nematocidal And Bactericidal Activities Of Green Synthesized Silver Nanoparticles Mediated By Ficus Sycomorus Leaf Extract, Dina Elkobrosy, Abdulaziz A. Al-Askar, Hamada El-Gendi, Yiming Su, Rokaia Nabil, Ahmed Abdelkhalek, Said Behiry

Civil and Environmental Engineering Faculty Publications

Nanoparticles effectively control most plant pathogens, although research has focused more on their antimicrobial than their nematocidal properties. This study synthesized silver nanoparticles (Ag-NPs) through a green biosynthesis method using an aqueous extract of Ficus sycomorus leaves (FS-Ag-NPs). The nanoparticles were characterized using SEM, TEM, EDX, zeta sizer, and FTIR. The TEM results showed that the synthesized NPs were nanoscale and had an average particle size of 33 ± 1 nm. The elemental silver signal at 3 keV confirmed the formation of Ag-NPs from an aqueous leaf extract of F. sycomorus. The FTIR analysis revealed the existence of several …

Colorado River Basin Water Accounts: 1-Page Summary, David E. Rosenberg

Civil and Environmental Engineering Faculty Publications

26 Colorado River managers and experts constructively improved basin water accounts as a framework to transition emergency reservoir operations into more sustainable, equitable, and adaptive water uses.

A Comparison Of National Water Model Retrospective Analysis Snow Outputs At Snow Telemetry Sites Across The Western United States, Irene Garousi-Nejad, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

This study compares the US National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at snow telemetry (SNOTEL) sites across the Western United States. SWE was obtained from SNOTEL sites, while SCAF was obtained from moderate resolution imaging spectroradiometer (MODIS) observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1000 m grid scale. We compared results for SNOTEL sites to gridded NWM and MODIS outputs for the grid cells encompassing each SNOTEL site. Differences between modelled and observed SWE were attributed to both model errors, as …

Lessons From Real-Time, Online Collaborative Modeling To Discuss More Adaptive Reservoir Operations, David E. Rosenberg

Civil and Environmental Engineering Faculty Publications

This work had the purpose to model and discuss in real-time more adaptive Colorado River reservoir operations with manager and experts. I created real-time, online collaborative modeling environments by using an interactive web spreadsheet (Google Sheet) during video conference sessions. 26 Colorado River managers and experts participated. Within each session, up to 6 people from the same stakeholder group simultaneously consumed, saved, and traded water in six basin water accounts, protected reservoirs, and sustained endangered, native fish of the Grand Canyon. The collaboration differed from prior studies that excluded stakeholders, extracted data from participants, had a lead modeler or facilitation …

From Attitude To Satisfaction: Introducing The Travel Mode Choice Cycle, Jonas De Vos, Patrick A. Singleton, Tommy Gärling

Civil and Environmental Engineering Faculty Publications

Many studies analysing the relationship between attitudes and travel behaviour have found that travel attitudes have an important impact on travel mode choice. More recently, studies focusing on how people experience travel have shown that travel satisfaction is influenced by the chosen travel mode. The desire and intention of using a travel mode – which can be considered as important predictors of mode choice – have, however, received limited attention. Furthermore, existing studies mostly have a narrow scope and lack integration of the above constructs. In this paper, we introduce the travel mode choice cycle (TMCC), a comprehensive model aiming …

Hydrolearn: Improving Students’ Conceptual Understanding And Technical Skills In A Civil Engineering Senior Design Course, Melissa Ann Gallagher, Jenny Byrd, Emad Habib, David G. Tarboton, Clinton S. Wilson

Civil and Environmental Engineering Faculty Publications

Engineering graduates need a deep understanding of key concepts in addition to technical skills to be successful in the workforce. However, traditional methods of instruction (e.g., lecture) do not foster deep conceptual understanding and make it challenging for students to learn the technical skills, (e.g., professional modeling software), that they need to know. This study builds on prior work to assess engineering students’ conceptual and procedural knowledge. The results provide an insight into how the use of authentic online learning modules influence engineering students’ conceptual knowledge and procedural skills. We designed online active learning modules to support and deepen undergraduate …

An Open Web-Based Module Developed To Advance Data-Driven Hydrologic Process Learning, Belize A. Lane, Irene Garousi-Nejad, Melissa A. Gallagher, David G. Tarboton, Emad Habib

Civil and Environmental Engineering Faculty Publications

The era of ‘big data’ promises to provide new hydrologic insights, and open web-based platforms are being developed and adopted by the hydrologic science community to harness these datasets and data services. This shift accompanies advances in hydrology education and the growth of web-based hydrology learning modules, but their capacity to utilize emerging open platforms and data services to enhance student learning through data-driven activities remains largely untapped. Given that generic equations may not easily translate into local or regional solutions, teaching students to explore how well models or equations work in particular settings or to answer specific problems using …

Managing Lake Urmia, Iran For Diverse Restoration Objectives: Moving Beyond A Uniform Target Lake Level, Somayeh Sima, David E. Rosenberg, Wayne A. Wurtsbaugh, Sarah E. Null, Karin M. Kettenring

Civil and Environmental Engineering Faculty Publications

There is widespread interest in restoring drying saline lakes. At Iran’s hypersaline Lake Urmia, managers have sought a uniform target lake level of 1274.1 m above sea level to lower salinity below 263 g L−1 and recover Artemia to sufficient densities to support flamingos. We suggest that addressing a broader range of objectives will allow more flexibility for managing the lake. We define eight restoration objectives to lower salinity, sustain Artemia and flamingo populations, separate islands from each other and the mainland, reduce lakebed dust, maintain commercially valuable ions, and improve recreational access from resort beaches. We use 40 years …

Engineering Students’ Perceptions Of Mathematical Modeling In A Learning Module Centered On A Hydrologic Design Case Study, Madeline F. Merck, Melissa A. Gallagher, Emad Habib, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

Engineering students need to spend time engaging in mathematical modeling tasks to reinforce their learning of mathematics through its application to authentic problems and real world design situations. Technological tools and resources can support this kind of learning engagement. We produced an online module that develops students‚Äô mathematical modeling skills while developing knowledge of the fundamentals of rainfall-runoff processes and engineering design. This study examined how 251 students at two United States universities perceived mathematical modeling as implemented through the online module over a 5-year period. We found, subject to the limitation that these are perceptions from not all students, …

Toward Open And Reproducible Environmental Modeling By Integrating Online Data Repositories, Computational Environments, And Model Application Programming Interfaces, Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

Cyberinfrastructure needs to be advanced to enable open and reproducible environmental modeling research. Recent efforts toward this goal have focused on advancing online repositories for data and model sharing, online computational environments along with containerization technology and notebooks for capturing reproducible computational studies, and Application Programming Interfaces (APIs) for simulation models to foster intuitive programmatic control. The objective of this research is to show how these efforts can be integrated to support reproducible environmental modeling. We present first the high-level concept and general approach for integrating these three components. We then present one possible implementation that integrates HydroShare (an online …

Sharpening Ecostress And Viirs Land Surface Temperature Using Harmonized Landsat-Sentinel Surface Reflectances, Jie Xue, Martha C. Anderson, Feng Gao, Christopher Hain, Liang Sun, Yun Yang, Kyle R. Knipper, William P. Kustas, Alfonso F. Torres-Rua, Mitch Schull

Civil and Environmental Engineering Faculty Publications

Land surface temperature (LST) is a key diagnostic indicator of agricultural water use and crop stress. LST data retrieved from thermal infrared (TIR) band imagery, however, tend to have a coarser spatial resolution (e.g., 100 m for Landsat 8) than surface reflectance (SR) data collected from shortwave bands on the same instrument (e.g., 30 m for Landsat). Spatial sharpening of LST data using the higher resolution multi-band SR data provides an important path for improved agricultural monitoring at sub-field scales. A previously developed Data Mining Sharpener (DMS) approach has shown great potential in the sharpening of Landsat LST using Landsat …

Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Estimation of surface energy fluxes using thermal remote sensing–based energy balance models (e.g., TSEB2T) involves the use of local micrometeorological input data of air temperature, wind speed, and incoming solar radiation, as well as vegetation cover and accurate land surface temperature (LST). The physically based Two-source Energy Balance with a Dual Temperature (TSEB2T) model separates soil and canopy temperature (Ts and Tc) to estimate surface energy fluxes including Rn, H, LE, and G. The estimation of Ts and Tc components for the TSEB2T model relies on the linear relationship between the composite land surface temperature and a vegetation index, namely …

To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted area function that describes the mathematical relationship between the spatial distribution of surface flux sources and their corresponding magnitude. The orientation and size of each flux footprint / source area depends on the micro-meteorological conditions at the site as measured by the EC towers, including turbulence fluxes, friction velocity (u_star), and wind speed, all of which influence the dimensions and orientation of the footprint. The …

Estimation Of Evapotranspiration And Energy Fluxes Using A Deep-Learning-Based High-Resolution Emissivity Model And The Two-Source Energy Balance Model With Suas Information, Alfonso F. Torres-Rua, Andres Ticlavilca, Mahyar Aboutalebi, Héctor Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Joseph Alfieri, Lawrence Hipps, Lynn Mckee, William Kustas, Calvin Coopmans, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Surface temperature is necessary for the estimation of energy fluxes and evapotranspiration from satellites and airborne data sources. For example, the Two-Source Energy Balance (TSEB) model uses thermal information to quantify canopy and soil temperatures as well as their respective energy balance components. While surface (also called kinematic) temperature is desirable for energy balance analysis, obtaining this temperature is not straightforward due to a lack of spatially estimated narrowband (sensor-specific) and broadband emissivities of vegetation and soil, further complicated by spectral characteristics of the UAV thermal camera. This study presents an effort to spatially model narrowband and broadband emissivities for …

Quantitative Assessment Of Contested Water Uses And Management In The Conflict-Torn Yarmouk River Basin, Nicolas Avisse, Amaury Tilmant, David E. Rosenberg, Samer Talozi

Civil and Environmental Engineering Faculty Publications

The Yarmouk River basin is shared between Syria, Jordan, and Israel. Since the 1960s, Yarmouk River flows have declined more than 85% despite the signature of bilateral agreements. Syria and Jordan blame each other for the decline and have both developed their own explanatory narratives: Jordan considers that Syria violated their 1987 agreement by building more dams than what was agreed on, while Syria blames climate change. In fact, because the two countries do not share information, neither on hydrological flows nor on water management, it is increasingly difficult to distinguish between natural and anthropogenic factors affecting the flow regime. …

Integrating Hydrologic Modeling Web Services With Online Data Sharing To Prepare, Store, And Execute Hydrologic Models, Tian Gan, David G. Tarboton, Pabitra Dash, Tseganeh Z. Gichamo, Jeffery S. Horsburgh

Civil and Environmental Engineering Faculty Publications

Web based applications, web services, and online data and model sharing technology are becoming increasingly available to support hydrologic research. This promises benefits in terms of collaboration, computer platform independence, and reproducibility of modeling workflows and results. In this research, we designed an approach that integrates hydrologic modeling web services with an online data sharing system to support web-based simulation for hydrologic models. We used this approach to integrate example systems as a case study to support reproducible snowmelt modeling for a test watershed in the Colorado River Basin, USA. We demonstrated that this approach enabled users to work within …

Collaborative Sharing Of Multidimensional Space-Time Date In A Next Generation Hydrologic Information System, Tian Gan, David G. Tarboton, Jeffery S. Horsburgh, Pabitra Dash, Ray Idaszak, Hong Yi

Civil and Environmental Engineering Faculty Publications

In hydrologic research, there is a need to manage, archive, and publish data in a discoverable way to increase data reuse, transparency, and reproducibility. Multidimensional space-time data are commonly used in hydrologic research, and systems are needed for sharing and exchanging such data. Simply exchanging files may result in loss of metadata information and can be challenging when files are large. We developed an approach to manage, share, and publish multidimensional space-time data in HydroShare, a next generation hydrologic information system and domain specific repository. This paper presents the design, development, and testing of this approach. We selected the Network …

Extending Water Resources Performance Metrics To River Ecosystems, Belize A. Lane, J. Pablo Ortiz-Partida, Samuel Sandoval-Solis

Civil and Environmental Engineering Faculty Publications

A persistent challenge in integrated water management is the ability to accurately evaluate human and ecological tradeoffs. Two-dimensional (2D) hydraulic models are frequently used to evaluate water management alternatives concerning aquatic species physical habitat needs or preferences. Recent studies have assessed the timing or duration of suitable habitat conditions, but no standardized approach exists to integrate and interpret ecohydraulic model outputs within a water management framework. Such an approach is needed to maximize the information obtained from model outputs and to facilitate communication between river scientists and water managers. This study presents a general framework to aggregate and summarize 2D …

Influence Of Model Grid Size On The Estimation Of Surface Fluxes Using The Two Source Energy Balance Model And Suas Imagery In Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Hector Nieto, Mac Mckee, Lawrence E. Hipps, David King Stevens, Joseph Alfieri, John Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

Evapotranspiration (ET) is a key variable for hydrology and irrigation water management,with significant importance in drought-stricken regions of the western US. This is particularly true for California, which grows much of the high-value perennial crops in the US. The advent of small Unmanned Aerial System (sUAS) with sensor technology similar to satellite platforms allows for the estimation of high-resolution ET at plant spacing scale for individual fields. However, while multiple efforts have been made to estimate ET from sUAS products, the sensitivity of ET models to different model grid size/resolution in complex canopies, such as vineyards, is still unknown.The variability …

Would You Rather Teleport Or Spend Some Time Commuting? Investigating Individuals’ Teleportation Preferences, Prasanna Humagain, Patrick A. Singleton

Civil and Environmental Engineering Faculty Publications

• Teleportation test, a survey instrument developed to measure Positive Utility of travel (PUT)

"If you could snap your fingers or blink your eyes and instantaneously teleport yourself to the desired destination, would you do so"

• "Yes"- Regarding travel as disutility i.e. means to reach destination
• "No"- Find benefits during travel or traveling itself

Assessment Of Groundwater Resources In Siwa Oasis, Western Desert, Egypt, Noha H. Moghazy, Jagath J. Kaluarachchi

Civil and Environmental Engineering Faculty Publications

One of the major challenges facing Egypt is limited water resources associated with rapid increase in population. In 1960s, Egyptian government started to use groundwater from the Nubian Sandstone Aquifer System (NSAS) in the Western Desert to expand agricultural sector. Siwa Oasis is the focus of this study to assess the efficiency of groundwater use and corresponding impacts from 1980 to 2012. Results show that from 1980 to 1998, withdrawal from poorly designed wells increased rapidly causing an increase in excess water about 336%. The increase of excess water with the usage of poor drainage produced lakes. Remote Sensing showed …

Incorporation Of Unmanned Aerial Vehicle (Uav) Point Cloud Products Into Remote Sensing Evapotranspiration Models, Mahyar Aboutalebi, Alfonso F. Torres-Rua, Mac Mckee, William P. Kustas, Héctor Nieto, Maria Mar Alsina, Alex White, John H. Prueger, Lynn Mckee, Joseph Alfieri, Lawrence E. Hipps, Calvin Coopmans, Nick Dokoozlian

Civil and Environmental Engineering Faculty Publications

In recent years, the deployment of satellites and unmanned aerial vehicles (UAVs) has led to production of enormous amounts of data and to novel data processing and analysis techniques for monitoring crop conditions. One overlooked data source amid these efforts, however, is incorporation of 3D information derived from multi-spectral imagery and photogrammetry algorithms into crop monitoring algorithms. Few studies and algorithms have taken advantage of 3D UAV information in monitoring and assessment of plant conditions. In this study, different aspects of UAV point cloud information for enhancing remote sensing evapotranspiration (ET) models, particularly the Two-Source Energy Balance Model (TSEB), over …