UAV-based thermal imaging in the assessment of water status of soybean plants

• Published in: International journal of remote sensing Vol. 41; no. 9; pp. 3243 - 3265
• Main Authors: Crusiol, Luís Guilherme Teixeira, Nanni, Marcos Rafael, Furlanetto, Renato Herrig, Sibaldelli, Rubson Natal Ribeiro, Cezar, Everson, Mertz-Henning, Liliane Marcia, Nepomuceno, Alexandre Lima, Neumaier, Norman, Farias, José Renato Bouças
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 02.05.2020; Taylor & Francis Ltd
• Subjects: Agricultural management; Agricultural production; Agricultural research; Air temperature; Atmospheric attenuation; Attenuation; Cameras; Canopies; Canopy; Drought; Drought periods; Environmental monitoring; Evaluation; Flight altitude; Ground level; Imaging techniques; Infrared cameras; Infrared imaging; Moisture content; Monitoring; Pixels; Radiometric resolution; Rain; Rainfall; Rainout; Receiving waters; Soil; Soil conditions; Soil moisture; Soil water; Soils; Soybeans; Temperature; Temperature effects; Thermal imaging; Thermodynamic properties; Thermography; Unmanned aerial vehicles; Vapor pressure; Vapour pressure; Water; Water availability; Water damage; Water deficit
• ISSN: 0143-1161; 1366-5901
• DOI: 10.1080/01431161.2019.1673914

Soybean production both in Brazil and globally has regularly been threatened by drought periods. The use of infrared thermography to evaluate the canopy's temperature and its relationship with plant water status constitutes an important tool for agricultural monitoring. However, studies regarding the water status of soybean plants through unmanned aerial vehicle (UAV)-based thermal imaging are yet to be reported. Thus, the present study aimed to evaluate the water status of soybean plants submitted to different water conditions via thermal images obtained through an UAV thermal infrared camera. The field experiment was undertaken at the National Soybean Research Centre (Embrapa Soja, a branch of the Brazilian Agricultural Research Corporation) in a randomized complete block design, with four replicates. The following water conditions were evaluated: irrigated (IRR, receiving rainfall and irrigation when necessary, and with a soil water matric potential between −0.03 MPa and −0.05 MPa), non-irrigated (NIRR, receiving only rainfall), and water deficit (or drought stress) induced at the vegetative (DSV) and reproductive (DSR) stages. Water deficit was induced using rainout shelters. Soil moisture and weather data were monitored daily. Thermal images were obtained on twelve dates, half in 2016-2017 and half during the 2017-2018 crop seasons, through a thermal infrared camera (DIY-Thermocam) sensitive to temperatures ranging from - 40°C to 200°C, with 0.5 °C accuracy and 14-bit radiometric resolution. Images in RAW format (160 pixels x120 pixels) were obtained at 125 m above ground level. They were then processed and calibrated by acquiring a correction factor resulting from the effect of atmospheric attenuation. The canopy temperature was evaluated in relation to that of air temperature and through the Normalized Relative Canopy Temperature (NRCT). Atmospheric attenuation was positively correlated to flight altitude, so that image correction eliminated such an effect. The thermal behaviour of soybean plants was directly correlated to soil water availability and atmospheric vapour pressure deficit, with differences ranging from 0.2 °C to 7.2°C. Plants grown at lower soil moisture conditions had higher temperatures, which were observed under DSV and DSR conditions. However, plants submitted to DSV and then rehydrated under normal field conditions demonstrated lower temperatures than those presented by plants under IRR or NIRR. Water deficit was more damaging to yields when induced at the reproductive stage. We emphasize the potential use of UAV thermal infrared cameras for monitoring the water status of soybean plants, and for collecting non-destructive information in support of better crop management decisions and new studies.