A Thermal Infrared Remote Sensing Model for Diagnosing Winter Wheat Water (<i>Triticum aestivum</i> L.) Stress by Integrating Angular Effects and Kernel-Driven Models.

Plants (Basel) · 2026 · PMC13415235 · PMID 42514568

Europe PMC DOI

hedged sentences

—

closest p

—

boldest claim

The sentences

a decreasing trendno p-value reported

From the perspective of viewing geometry, canopy temperature generally exhibited a decreasing trend with increasing relative azimuth angle between the sensor viewing direction and the solar incident direction.

also in 47,180 other papers

an increasing trendno p-value reported

Without considering angular effects, all three CWSI indices showed an increasing trend with increasing water stress severity.

also in 63,971 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.

A Thermal Infrared Remote Sensing Model for Diagnosing Winter Wheat Water (&lt;i&gt;Triticum aestivum&lt;/i&gt; L.) Stress by Integrating Angular Effects and Kernel-Driven Models.

The sentences

A Thermal Infrared Remote Sensing Model for Diagnosing Winter Wheat Water (<i>Triticum aestivum</i> L.) Stress by Integrating Angular Effects and Kernel-Driven Models.