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Assessment of crop water stress under prevailing irrigation practice in Faisalabad, Pakistan using hyperspectral remote sensing

delete2026-07-29
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OA
AI
H
Habib Ur Rehman
R
Rooh Ul Muqeem Alvi
M
Muhammad Waseem
M
Muhammad Qasim
S
Salman Ali Suhail
M
Muhammad Rashid *
N
null Farnaz
DOI：10.1016/j.agwat.2026.110660delete
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Abstract

Abstract

En 中文
• Spectral indices effectively predict soil moisture and crop yield under water stress. • PRInorm index consistently correlated with soil moisture across growth stages. • Prevailing irrigation caused mild to severe stress in maize and spinach crops. • Proposed irrigation schedule optimizes water management using hyperspectral RS.
Keywords:
Hyperspectral remote sensing
Crop water stress
Deficit irrigation
Spectral vegetation indices
Soil moisture

Journal

Agricultural Water Management cover
Agricultural Water Management
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