摘要
为促进海滨湿地生态系统的健康可持续发展,以海滨湿地碱蓬为研究对象,利用便携式地物光谱仪测量碱蓬的反射光谱,应用称重法测定碱蓬的地上鲜生物量,定量分析碱蓬地上鲜生物量与其反射光谱变换形式之间的相关性,并应用线性或非线性模拟法构建海滨湿地碱蓬生物量估算模型。研究结果表明:碱蓬地上鲜生物量与变量(R800–R635)/(R800+R635)之间的相关性最大,以该变量构建的碱蓬生物量线性回归模型精度最高。该研究为海滨湿地脆弱生态定量遥感监测提供技术支撑。
In order to improve the healthy and sustainable development of coastal wetland ecosystem, the authors took Suaeda Salsa as investigated subject and acquired hyperspectral reflectance spectra of Suaeda Salsa and biomass data. The correlation was analyzed between biomass and reflectance spectra formation forms. The estimation models of Suaeda Salsa biomass were constructed based on those variables, which had relative higher relationship with biomass of Suaeda Salsa. The results indicated that the coefficient was the greatest between biomass and the variable named as （Rsoo-R635 ）/（R800＋R635 ）, and that the precision of estimation model based on the variable was the highest. The study will provide quantitative remote sensing technology applied in vulnerable coastal wetland ecosystem with technique support.
出处
《海洋湖沼通报》
CSCD
北大核心
2017年第2期96-100,共5页
Transactions of Oceanology and Limnology
基金
国家自然科学基金项目:海滨湿地盐沼植被盐分胁迫高光谱遥感响应机理研究(41506106)
连云港市科技计划项目(现代农业):盐分胁迫对盐沼植被生长
叶片营养和反射光谱的响应研究
2013年江苏省高等学校大学生实践创新训练计划项目资助
关键词
海滨湿地
碱蓬
反射光谱
高光谱特征参量
coastal wetland
Suaeda Salsa
reflectance spectra
biomass
regression model
