Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards

Nieto, Héctor; Bellvert, Joaquim; Kustas, William P.; Alfieri, Joseph G.; Gao, Feng; Prueger, John H.; Torres‐Rua, Alfonso F.; Hipps, Lawrence E.; Elarab, Manal; Song, Lisheng

doi:10.1109/igarss.2017.8128252

Cited by 12 publications

(8 citation statements)

References 9 publications

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“…UASs are being increasingly utilised to acquire multi-spectral and thermal imagery to compute ET at an unprecedented spatial resolution [270,271]. Using high-resolution images, filtering the shadowed-pixel is possible, which showed significant improvement in the estimation of ET in grapevine [101].…”

Section: Evapotranspirationmentioning

confidence: 99%

“…Using high-resolution images, filtering the shadowed-pixel is possible, which showed significant improvement in the estimation of ET in grapevine [101]. Using high-resolution thermal and/or multispectral imagery, ET has been derived for horticultural crops, such as grapevines [270] and olives [271]. The seasonal monitoring of ET c at high spatial and temporal resolutions is of high importance for precision irrigation of horticultural crops in the future [259].…”

Section: Evapotranspirationmentioning

confidence: 99%

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A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Gautam

Pagay

2020

Agronomy

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With increasingly advanced remote sensing systems, more accurate retrievals of crop water status are being made at the individual crop level to aid in precision irrigation. This paper summarises the use of remote sensing for the estimation of water status in horticultural crops. The remote measurements of the water potential, soil moisture, evapotranspiration, canopy 3D structure, and vigour for water status estimation are presented in this comprehensive review. These parameters directly or indirectly provide estimates of crop water status, which is critically important for irrigation management in farms. The review is organised into four main sections: (i) remote sensing platforms; (ii) the remote sensor suite; (iii) techniques adopted for horticultural applications and indicators of water status; and, (iv) case studies of the use of remote sensing in horticultural crops. Finally, the authors' view is presented with regard to future prospects and research gaps in the estimation of the crop water status for precision irrigation.

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Section: Evapotranspirationmentioning

confidence: 99%

Section: Evapotranspirationmentioning

confidence: 99%

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Gautam

Pagay

2020

Agronomy

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“…A major goal of thermal remote sensing is the estimation of the true (kinetic) surface temperature due to its usefulness in diverse applications such as modeling energy balance [1][2][3][4][5][6] , vegetation conditions 7,8 , environmental stressors effects, and climate change [9][10][11] . The importance of thermal remote sensing in agriculture has been demonstrated at scales from global to regional and from farm to sub-plant, the latter scale being addressed by infrared temperature sensors 12 and microbolometer cameras 13,14 .…”

Section: Introductionmentioning

confidence: 99%

Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data

Torres‐Rua

Aboutalebi

Wright

et al. 2019

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV

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Microbolometer thermal cameras in UAVs and manned aircraft allow for the acquisition of highresolution temperature data, which, along with optical reflectance, contributes to monitoring and modeling of agricultural and natural environments. Furthermore, these temperature measurements have facilitated the development of advanced models of crop water stress and evapotranspiration in precision agriculture and heat fluxes exchanges in small river streams and corridors. Microbolometer cameras capture thermal information at blackbody or radiometric settings (narrowband emissivity equates to unity). While it is customary that the modeler uses assumed emissivity values (e.g. 0.99-0.96 for agricultural and environmental settings); some applications (e.g. Vegetation Health Index), and complex models such as energy balance-based models (e.g. evapotranspiration) could benefit from spatial estimates of surface emissivity for true or kinetic temperature mapping. In that regard, this work presents an analysis of the spectral characteristics of a microbolometer camera with regard to emissivity, along with a methodology to infer thermal emissivity spatially based on the spectral 1 *

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“…While there are many advantages of using UAVs for ET estimation, there are still challenges for UAVs when used for estimating ET. These challenges are also commonly shown in the reviewed research work [ 16 , 21 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ].…”

Section: Challenges and Opportunitiesmentioning

confidence: 74%

Evapotranspiration Estimation with Small UAVs in Precision Agriculture

Niu

Hollenbeck

Zhao

et al. 2020

Sensors

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Estimating evapotranspiration (ET) has been one of the most critical research areas in agriculture because of water scarcity, the growing population, and climate change. The accurate estimation and mapping of ET are necessary for crop water management. Traditionally, researchers use water balance, soil moisture, weighing lysimeters, or an energy balance approach, such as Bowen ratio or eddy covariance towers to estimate ET. However, these ET methods are point-specific or area-weighted measurements and cannot be extended to a large scale. With the advent of satellite technology, remote sensing images became able to provide spatially distributed measurements. However, the spatial resolution of multispectral satellite images is in the range of meters, tens of meters, or hundreds of meters, which is often not enough for crops with clumped canopy structures, such as trees and vines. Unmanned aerial vehicles (UAVs) can mitigate these spatial and temporal limitations. Lightweight cameras and sensors can be mounted on the UAVs and take high-resolution images. Unlike satellite imagery, the spatial resolution of the UAV images can be at the centimeter-level. UAVs can also fly on-demand, which provides high temporal imagery. In this study, the authors examined different UAV-based approaches of ET estimation at first. Models and algorithms, such as mapping evapotranspiration at high resolution with internalized calibration (METRIC), the two-source energy balance (TSEB) model, and machine learning (ML) are analyzed and discussed herein. Second, challenges and opportunities for UAVs in ET estimation are also discussed, such as uncooled thermal camera calibration, UAV image collection, and image processing. Then, the authors share views on ET estimation with UAVs for future research and draw conclusive remarks.

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Unmanned airborne thermal and mutilspectral imagery for estimating evapotranspiration in irrigated vineyards

Cited by 12 publications

References 9 publications

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data

Evapotranspiration Estimation with Small UAVs in Precision Agriculture

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