Baselines for Calculating Crop Water Stress Index in Bean Cultivation

Abstract. 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.

Authors

Institutions

Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2024-11-07
DOI
https://doi.org/10.5194/isprs-archives-xlviii-3-2024-501-2024
Citations
1
Primary Topic
Soybean genetics and cultivation
Type
article
Field-Weighted Citation Impact
0.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Baselines for Calculating Crop Water Stress Index in Bean Cultivation

Jane Maria de C. Silveira, Regina Célia de Matos Pires, Darién E. Prado, Alisson Fernando Chiorato et al.
1 citations
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Soybean genetics and cultivation
0.60
article

Baselines for Calculating Crop Water Stress Index in Bean Cultivation

Jane Maria de C. Silveira, Regina Célia de Matos Pires, Darién E. Prado, Alisson Fernando Chiorato, Juliana de A. Góes
article en
1 citations

Abstract

Abstract. 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.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-3-2024
Universidade Paulista (BR), Agronomical Institute of Campinas (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Clean water and sanitation
Openalex Percentile: Top 21%
Soybean genetics and cultivation
0.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.