Baselines for Calculating Crop Water Stress Index in Bean Cultivation

Efficient irrigation management is vital for conserving water and maximizing productivity, making the crop water stress index (CWSI) a powerful remote sensing tool. CWSI computation requires lower and upper baselines, corresponding to no-stress and severe stress conditions, respectively. This study...

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Published in:International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2024-11, Vol.XLVIII-3-2024, p.501-506
Main Authors: Silveira, Jane Maria de C., Góes, Juliana de A., Prado, Dijaina F. S., Pires, Regina Célia de M., Chiorato, Alisson F.
Format: Article
Language:English
Subjects:
Agriculture
Air temperature
Archives & records
Canopies
Canopy
Center-pivot irrigation
Crops
Cultivars
Infrared radiometers
Irrigation
Irrigation efficiency
Meteorological data
Methods
Microwave imagery
Plant cover
Precipitation
Productivity
Radiation
Radiometers
Regression analysis
Remote sensing
Temperature differences
Temperature gradients
Thermography
Transpiration
Vapor pressure
Vapour pressure
Water
Water conservation
Water management
Water stress
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Summary:Efficient irrigation management is vital for conserving water and maximizing productivity, making the crop water stress index (CWSI) a powerful remote sensing tool. CWSI computation requires lower and upper baselines, corresponding to no-stress and severe stress conditions, respectively. This study aims to compare two different methods for determining those baselines. In the empirical method, the non-water-stressed baseline (NWSB) is derived by the linear regression of the canopy-air temperature difference against vapor pressure deficit (VPD) for a well-watered crop. The combined method compares the NWSB coefficients to theoretical expressions to estimate aerodynamic and canopy resistance at potential transpiration. This work used infrared radiometers (IRR) to measure the canopy temperature of bean plants (Phaseolus vulgaris L.) cultivar ‘IAC1850’ under center-pivot irrigation. Since the empirical method is susceptible to fluctuations in meteorological data, an expressive amount of data had to be filtered out. When comparing the two methods, the RMSE is 1.0 °C for the lower baseline and 1.8 °C for the upper baseline. Future studies could use these baselines to provide CWSI maps from thermographic images.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVIII-3-2024-501-2024