Binxiang Qian

The cmSCOPE-D model: A transmission-dynamics-enabled SCOPE adaptation to characterize vertically stratified heterogeneity of maize disease stress

Binxiang Qian, Wenjiang Huang, Zhijun Zhen, Kehui Ren et autres

Integrating SIF-derived parameters with three-band vegetation indices for quantifying maize leaf spot severity: a case study under field conditions

Kehui Ren, Binxiang Qian, Anting Guo, Yi Luo et autres

Film mulching improves reproductive-stage water–nitrogen coupling and yield of rainfed winter oilseed rape (Brassica napus L.) under optimized nitrogen input

Zijun Tang, Binxiang Qian, Tao Sun, X Zhang et autres

Mulching and nitrogen (N) management are widely used to improve crop productivity in rainfed drylands, but their combined effects on stage-resolved water–N coordination remain insufficiently quantified. A three-season field experiment was conducted on rainfed winter oilseed rape ( Brassica napus L.) on …

cn, us (code pays fourni par la source)

Layer-specific detectability of maize canopy chlorophyll using multi-angle observation: The controlling factors of observation geometry, hotspot, and canopy structure

Binxiang Qian, Kehui Ren, Zhijun Zhen, W J Huang et autres

cn, hk (code pays fourni par la source)

Edge Effect Issue on Hyperspectral LiDAR Point Cloud Data: Generation Principle and Framework of Detection and Filtering

Jinsong Bai, Jiayu Zhu, Binbin He, Binxiang Qian et autres

The edge effect, caused by partial illumination of leaf boundaries, leads to significant hyperspectral LiDAR (HSL) echo-intensity loss and severely restricts precise expression of the spectral characteristics and retrieval accuracy of biochemical components in leaf-edge area. Despite being one of the major …

cn (code pays fourni par la source)

Disease-specific Spectral Indices Enable Cross-Scale Monitoring of Wheat Stripe Rust From Leaf to Satellite Scales

Kehui Ren, Binxiang Qian, Chao Ruan, Anting Guo et autres

cn (code pays fourni par la source)

A two-step approach mitigates phenological influences and improves the reliability of wheat stripe rust detection and disease index estimation

Kehui Ren, Binxiang Qian, Chao Ruan, Jun Gao et autres

cn (code pays fourni par la source)

Inversion of plant functional traits from hyperspectral imagery enhances the distinction of wheat stripe rust severity

Kehui Ren, Anting Guo, Binxiang Qian, Chao Ruan et autres

Improved early detection of wheat stripe rust through integration pigments and pigment-related spectral indices quantified from UAV hyperspectral imagery

Anting Guo, Wenjiang Huang, Binxiang Qian, Kun Wang et autres

Wheat stripe rust is a significant disease affecting wheat growth, often referred to as the “cancer of wheat”. Early and accurate detection of stripe rust is crucial for enabling crop managers to implement effective control measures. Hyperspectral remote sensing methods for crop …

cn (code pays fourni par la source)

Early Monitoring of Maize Northern Leaf Blight Using Vegetation Indices and Plant Traits from Multiangle Hyperspectral Data

Anting Guo, Wenjiang Huang, Kun Wang, Binxiang Qian et autres

Maize northern leaf blight (MNLB), characterized by a bottom-up progression, is a prevalent and damaging disease affecting maize growth. Early monitoring is crucial for timely interventions, thus mitigating yield losses. Hyperspectral remote sensing technology is an effective means of early crop disease …

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A hybrid model coupling PROSAIL and continuous wavelet transform based on multi-angle hyperspectral data improves maize chlorophyll retrieval

Anting Guo, Wenjiang Huang, Binxiang Qian, Huichun Ye et autres

Chlorophyll is both a cornerstone of plant photosynthesis and an important indicator for assessing crop growth and health. Although many previous studies have explored the use of remote sensing to retrieve chlorophyll content, there is room for improvement in the proposed retrieval …

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Detection of Rubber Tree Powdery Mildew from Leaf Level Hyperspectral Data Using Continuous Wavelet Transform and Machine Learning

Xiangzhe Cheng, Yuyun Feng, Anting Guo, Wenjiang Huang et autres

Powdery mildew is one of the most significant rubber tree diseases, with a substantial impact on the yield of natural rubber. This study aims to establish a detection approach that coupled continuous wavelet transform (CWT) and machine learning for the accurate assessment …

cn (code pays fourni par la source)