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<p>Guangxi, a major sugarcane cultivation region in China, faces significant challenges due to global climate change and its unique geographical environment, which make sugarcane plantations prone to droughts and floods. This study employed remote sensing and statistical modeling approaches to reveal the spatiotemporal characteristics of sugarcane growth and its influencing factors. Firstly, this study established an NDVI difference model based on MOD09A1-NDVI data to extract the spatiotemporal evolution characteristics of sugarcane growth in Guangxi. The results indicated that during the stem elongation stage, sugarcane growth exhibited periodic fluctuations, effectively reflecting the complex characteristics of alternating droughts and floods and variable soil moisture conditions in hills and karst areas. Secondly, using the MOD15A2H-LAI series and asymmetric Gaussian fitting method to reconstruct the data, we extracted the spatiotemporal distribution pattern of sugarcane phenological periods in Guangxi, effectively eliminating the unstable fluctuations and outliers in the LAI series, substantially enhancing extraction accuracy (± 15&#xa0;days) and proving superior to conventional monitoring methods. Lastly, by employing Geodetector and Geographically Weighted Regression models, we analyzed the factors influencing sugarcane growth. Results revealed that the impact of climatic and underlying surface factors on sugarcane growth is not independent but rather a combined effect of multiple factors. The impact of multiple factors showed nonlinear enhancement, exceeding the influence of individual factors. This research provides valuable insights for scientific adjustment of sugarcane plantation structure, implementation of precise field management, understanding sugarcane’s dynamic response to climate change, and ensuring national sugar security.</p>

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The Spatiotemporal Evolution of Sugarcane Growth Based on Remote Sensing Monitoring and its Influence Factors Detection Regression Analysis in Guangxi, China

  • 期刊论文

  • 发表日期：

    2025年4月3日

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  • Yun-chuan Yang,
  • Chang-zheng Wei,
  • Xin-chang Xie,
  • Li-ping Liao,
  • Li-qing Liang,
  • Zong-heng Li,
  • Meng-dong He,
  • Chong-xun Mo,
  • Xun-gui Li,
  • Gui-kai Sun

摘要

Guangxi, a major sugarcane cultivation region in China, faces significant challenges due to global climate change and its unique geographical environment, which make sugarcane plantations prone to droughts and floods. This study employed remote sensing and statistical modeling approaches to reveal the spatiotemporal characteristics of sugarcane growth and its influencing factors. Firstly, this study established an NDVI difference model based on MOD09A1-NDVI data to extract the spatiotemporal evolution characteristics of sugarcane growth in Guangxi. The results indicated that during the stem elongation stage, sugarcane growth exhibited periodic fluctuations, effectively reflecting the complex characteristics of alternating droughts and floods and variable soil moisture conditions in hills and karst areas. Secondly, using the MOD15A2H-LAI series and asymmetric Gaussian fitting method to reconstruct the data, we extracted the spatiotemporal distribution pattern of sugarcane phenological periods in Guangxi, effectively eliminating the unstable fluctuations and outliers in the LAI series, substantially enhancing extraction accuracy (± 15 days) and proving superior to conventional monitoring methods. Lastly, by employing Geodetector and Geographically Weighted Regression models, we analyzed the factors influencing sugarcane growth. Results revealed that the impact of climatic and underlying surface factors on sugarcane growth is not independent but rather a combined effect of multiple factors. The impact of multiple factors showed nonlinear enhancement, exceeding the influence of individual factors. This research provides valuable insights for scientific adjustment of sugarcane plantation structure, implementation of precise field management, understanding sugarcane’s dynamic response to climate change, and ensuring national sugar security.