Advanced Estimation of Winter Wheat Leaf's Relative Chlorophyll Content Across Growth Stages Using Satellite-Derived Texture Indices in a Region with Various Sowing Dates.

Jingyun Chen, Quan Yin, Jianjun Wang, Weilong Li, Zhi Ding, Pei Sun Loh, Guisheng Zhou, Zhongyang Huo

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Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 citing paper in PubMed.

Estimation of Wheat Grain Protein Content at Multiple Growth Stages Based on Space-Air-Ground Collaborative Observation Data.Plants (Basel, Switzerland) · 2026
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8 authors.

Jingyun ChenJiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China.

Quan YinJiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China.ORCID 0009-0008-1112-6676

Jianjun WangJiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China.ORCID 0000-0001-8322-1316

Weilong LiJiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China.

Zhi DingJiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China.

Pei Sun LohInstitute of Marine Geology and Resources, Ocean College, Zhejiang University, Zhoushan 316021, China.ORCID 0000-0003-0658-8418

Guisheng ZhouJoint International Research Laboratory of Agriculture and Agricultural Product Safety, Yangzhou 225009, China.

Zhongyang HuoJiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Key Laboratory of Crop Cultivation and Physiology, Agricultural College, Yangzhou University, Yangzhou 225009, China.

Funding

Jiangsu Agricultural Science and Technology Innovation fund CX(22)1001Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China N/AScience and Technology Program of Yangzhou City, Jiangsu, China YZ2021031Scientific and Technological Innovation Fund of Carbon Emissions Peak andNeutrality of Jiangsu Provincial Department of Science and Technology BE2022424-2

6 · The paper itself

Abstract

Accurately estimating leaves' relative chlorophyll contents (widely represented by Soil and Plant Analysis Development (SPAD) values) across growth stages is crucial for assessing crop health, particularly in regions characterized by varying sowing dates. Unlike previous studies focusing on high-resolution UAV imagery or specific growth stages, this research incorporates satellite-derived texture indices (TIs) into a SPAD value estimation model applicable across multiple growth stages (from tillering to grain-filling). Field experiments were conducted in Jiangsu Province, China, where winter wheat sowing dates varied significantly from field to field. Sentinel-2 imagery was employed to extract vegetation indices (VIs) and TIs. Following a two-step variable selection method, Random Forest (RF)-LassoCV, five machine learning algorithms were applied to develop estimation models. The newly developed model (SVR-RBF

Indexed as

machine learningprecision agricultureSentinel-2SPAD valuetexture indiceswinter wheat

Identifiers

PMID40805646

DOI10.3390/plants14152297

PMCPMC12348643

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