Identifying crop heat stress with MODIS and FLUXNET data

• DOI: 10.5194/egusphere-egu24-2626
• Publication Date: 2024-03-08T12:31:46Z
• Authors: Peiyu Lai; Michael Marshall; Roshanak Darvishz...; Kevin Tu; Andrew Nelson
• Keywords: FluxNet

Stress caused by high temperatures is a critical limiting factor of crop growth and development. Accurately identifying heat stress crucial to assess mitigate the negative impact on growth. However, isolating independent effects from other factors, such as moisture stress, poses challenge in field conditions. This study developed an innovative approach distinguish periods normal conditions, disentangling them light limitation croplands. Utilizing FLUXNET data, including air temperature, gross primary productivity, soil water content, shortwave radiation observations, we identified 78 corresponding The were further related with remote sensing extend identification process large scale. Single bands spectral vegetation indices (VIs) derived MODIS employed evaluate capability multispectral data detecting stressed crops healthy crops. analysis revealed significant increase reflectance red band during stress. VIs, general, enhanced visibility heat-induced variations exhibited sufficient distinguishing at Visible bands-based (EVRI, GLI, NGRDI) highest distinguishability (p-value < 0.01 Mann–Whitney U test). These findings underscore significance visible bands, especially band, advancing large-scale detection, agricultural monitoring, modeling considering