
农业与技术 ›› 2026, Vol. 46 ›› Issue (4): 114-119.DOI: 10.19754/j.nyyjs.20260430020
• 资源环境 • 上一篇
孙嘉泽 杜崇
出版日期:2026-04-30
发布日期:2026-04-30
作者简介:孙嘉泽(2000-),女,硕士在读。研究方向:农业水土工程;通信作者杜崇(1978-),男,博士,副教授。研究方向:水土资源开发利用及水资源管理。
基金资助:Online:2026-04-30
Published:2026-04-30
摘要: 近岸海域水体受人类活动影响显著,光学环境复杂,叶绿素 a 遥感反演面临较大不确定性。围绕近岸海域二类水体的光学特性,系统梳理了叶绿素 a 遥感反演的理论基础与研究进展,重点综述了基于蓝绿波段的经验模型、半经验 / 半分析模型、红光与红边波段反演方法以及机器学习方法在近岸复杂水体中的应用特点与适用性差异。分析表明,悬浮颗粒物和有色溶解有机物对光谱信号的共同干扰是影响近岸叶绿素 a 反演精度的关键因素,不同方法在稳定性、精度和可解释性方面各具优势与局限。进一步总结了近岸叶绿素 a 遥感反演在光学复杂性、大气校正、空间分辨率及数据支撑等方面面临的主要挑战,并对多源遥感融合、区域化建模及物理约束与机器学习相结合的发展方向进行了展望。
中图分类号:
. 近岸海域叶绿素 a 反演研究进展[J]. 农业与技术, 2026, 46(4): 114-119.
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