首页|基于高光谱技术的滇池流域湿地植物氮含量估算模型构建

基于高光谱技术的滇池流域湿地植物氮含量估算模型构建

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以滇池流域为研究区,利用S-R3500光谱仪采集芦苇、菰、香蒲和风车草4种典型滇池湿地植物的光谱数据,应用A33型连续流动分析仪测定湿地植物叶片氮含量,筛选出氮含量最敏感的光谱特征波段和变换形式参量,建立湿地植物叶片高光谱氮含量估算模型.结果表明:4种湿地植物的光谱曲线与健康绿色植被的光谱曲线趋势一致,但在800~1 350 nm和1650~1 800 nm波段存在差异,一阶微分、二阶微分和"三边"参数光谱变换可以更加突出4种湿地植物的光谱特征;芦苇二阶微分1 836 nm、香蒲二阶微分881 nm、菰一阶微分1264 nm、风车草二阶微分1665 nm波长和氮含量相关系数绝对值最大;菰的"三边"参数红边面积和蓝边面积的比值、红边面积和蓝边面积的归一化值,香蒲的红边幅值、红边面积、"绿峰"反射率和"红谷"反射率比值、红边面积和蓝边面积比值和氮含量相关系数绝对值最大,且呈极显著相关(P<0.01);4种湿地植物基于光谱二阶微分构建的氮含量估算模型精度比一阶微分高,基于光谱"三边"参数构建的氮含量的估算模型精度最高且误差最小;4种湿地植物基于"三边"参数构建的氮含量估算多元逐步回归模型估测效果较好.基于高光谱技术的湿地植物养分含量估算模型技术可以长时序快速地监测大面积湿地植被养分含量的时空动态变化,为湿地植物远程管理提供基础数据和技术支持.
Estimation Modelling of Nitrogen Content of Wetland Plants in Dian-chi Lake Basin Using Hyperspectral Technology
The study area is Dianchi Lake Basin,the spectral reflectance of 4 typical wetland plants,includ-ing Phragmites australis,Zizania latifolia,Typha orientalis and Cyperus involucratus,was acquired by S-R3500 spectrometer,nitrogen content of wetland plant leaves was determined by model A3 3 of continuous flow analytic-al instrument,the most sensitive spectral bands and spectral transformation formal parameters in leaves of 4 wet-land plants with nitrogen contents were selected,and the nitrogen contents estimation models of wetland plants were established with hyperspectral data.The results revealed that the spectral curves of 4 wetland plants were consistent with those of the healthy green plants,there are differences in the wavelength of 800-1350 nm and 1650-1 800 nm,the spectral characteristics of 4 wetland plants can be more highlighted through transformation of spectral includ first-order differential,second-order differential and"three-edge"parameters;the highest absolute correlation coefficient between wavelength and nitrogen content is found in the second-order differential band spectrum of P.australis(1,836nm),the first-order differential band spectrum of Z.latifolia(1264 nm),the second-order differential band spectrum of T.orientalis(881 nm),the second-order differential band spectrum of C.invol-ucratus(1 665 nm).The correlation of the"three-edge"parameters that ratio of red-edge and blue-edge area and the normalized value of red-edge and blue-edge area of Z.latifolia,the red-edge amplitude,red-edge area,the ra-tio of"green peak"and"red valley"reflectance and ratio of red-edge area and blue-edge area of T.orientalis with the nitrogen contents were the largest and significantly correlated(P<0.01);the accuracy of nitrogen content es-timation models of wetland plant leaves based on spectral second-order differentiation was higher than that of first-order differentiation,the nitrogen content estimation models based on the"three-edge"of the spectral para-meters had the highest accuracy and the least error;the estimation results for nitrogen content based on"three-edge"parameters of 4 wetland plants are good using a multiple stepwise regression estimation model.The estima-tion models techniques of wetland plants of nutrient contents based on hyperspectral technology can rapidly mon-itor the spatio-temporal dynamic changes of nutrient contents of large-scale wetland plants in a long time series,providing basic data and technical support for remote management of wetland plants.

Dianchihyperspectrawetland plantnitrogen contentestimation model

杨迈、李晓琳、郑毅、欧朝蓉、孙仕仙

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西南林业大学云南省高原湿地保护修复与生态服务重点实验室,云南昆明 650233

西南林业大学生态与环境学院,云南昆明 650233

云南开放大学,云南昆明 650032

西南林业大学地理与生态旅游学院,云南昆明 650233

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滇池 高光谱 湿地植物 氮含量 估算模型

云南省基础研究计划重点项目云南省"万人计划"青年拔尖人才专项项目国家自然科学基金项目云南省第四批博士后科研基金项目

202201AS07002899012204942167057321801

2024

西南林业大学学报
西南林业大学

西南林业大学学报

CSTPCD北大核心
影响因子:0.773
ISSN:2095-1914
年,卷(期):2024.44(5)
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