Haixiang Guan
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View article: Unraveling the Interplay: Intensive Solar Radiation Amplifies Maize Yield Reduction Under Dry‐Heat Stress
Unraveling the Interplay: Intensive Solar Radiation Amplifies Maize Yield Reduction Under Dry‐Heat Stress Open
Under global brightening and warming, how intense solar radiation amplifies crop stress via photoinhibition remains poorly understood. Using data from 905 counties in China (1992–2018), we reveal that a 1% increase in dry‐heat‐intensive ra…
View article: Extreme surface solar ultraviolet radiation events reduce maize yields in China
Extreme surface solar ultraviolet radiation events reduce maize yields in China Open
Over recent decades, changes in atmospheric ozone and climate have substantially altered surface solar ultraviolet radiation, but the impacts of these changes on crop yields remain unclear. Here we analyze climate data and maize yields fro…
View article: CNSIF: A reconstructed monthly 500-m spatial resolution solar-induced chlorophyll fluorescence dataset in China
CNSIF: A reconstructed monthly 500-m spatial resolution solar-induced chlorophyll fluorescence dataset in China Open
Satellite-derived solar-induced chlorophyll fluorescence (SIF) offers valuable opportunities for monitoring large-scale ecosystem functions. However, the inherent trade-off between satellite scan range and spatial resolution, along with in…
View article: Evaluating the Ability of the Sentinel-1 Cross-Polarization Ratio to Detect Spring Maize Phenology Using Adaptive Dynamic Threshold
Evaluating the Ability of the Sentinel-1 Cross-Polarization Ratio to Detect Spring Maize Phenology Using Adaptive Dynamic Threshold Open
Accurate, timely, and fine-resolution crop phenology is essential for determining the optimal timing of agronomic management practices supporting precision agriculture and food security. Synthetic Aperture Radar (SAR) methods, unaffected b…
View article: A novel approach to detect the spring corn phenology using layered strategy
A novel approach to detect the spring corn phenology using layered strategy Open
Accurate and continuous crop phenology information at a regional scale is important for agronomic management and yield estimation. However, detecting continuous crop phenology remains challenging due to the low sensitivity of remote sensin…
View article: A Comprehensive Evaluation of Flooding’s Effect on Crops Using Satellite Time Series Data
A Comprehensive Evaluation of Flooding’s Effect on Crops Using Satellite Time Series Data Open
In July 2021, a flooding event, which attracted the attention of the whole country and even the world, broke out in Henan, resulting in dramatic losses across multiple fields (e.g., economic and agricultural). The basin at the junction of …
View article: Improving winter wheat yield estimation under complex irrigation conditions through coupling APSIM crop growth model and the machine learning approach
Improving winter wheat yield estimation under complex irrigation conditions through coupling APSIM crop growth model and the machine learning approach Open
The annual dynamics of winter wheat yield in Henan, China from 2018 to 2021 are provided, with the resolution of 20m and GeoTiff format.
View article: An Innovative Approach for Improving the Accuracy of Digital Elevation Models for Cultivated Land
An Innovative Approach for Improving the Accuracy of Digital Elevation Models for Cultivated Land Open
The redistribution of solar radiation, temperature, soil moisture and heat by topography affects the physical and chemical properties of the soil and the spatial distribution characteristics of crop growth. Analyses of the relationship bet…
View article: A Quantitative Monitoring Method for Determining Maize Lodging in Different Growth Stages
A Quantitative Monitoring Method for Determining Maize Lodging in Different Growth Stages Open
Many studies have achieved efficient and accurate methods for identifying crop lodging under homogeneous field surroundings. However, under complex field conditions, such as diverse fertilization methods, different crop growth stages, and …
View article: Estimation of a New Canopy Structure Parameter for Rice Using Smartphone Photography
Estimation of a New Canopy Structure Parameter for Rice Using Smartphone Photography Open
The objective of this study was to develop a low-cost method for rice growth information obtained quickly using digital images taken with smartphone. A new canopy parameter, namely, the canopy volume parameter (CVP), was proposed and devel…