CAJ | 학술논문

快速且准确估算土壤含水量已成为农林业水资源监测的热点问题，应用植被指数估算土壤含水量的方法已得到广泛认可和应用。以便携式光谱仪测定的高光谱数据为基础计算得到8种植被指数，通过灰色关联分析法（GRA）对八种植被指数和基于红外热像仪测定的冠层温度进行分析与筛选，选取与土壤含水量具有较高相关性的指标进行多元线性回归分析，构建基于多种植被指数的土壤含水量估算模型（S MB M-VI），并做模型精度分析。精度评价结果表明：模型拟合度较高，达到极显著水平（p＜0．000），土壤含水量估算值与实测值具有较高相关性，r为0．6361，RMSE为2．1499。该方法引入多种植被指数，采用非接触式的测量方法估算小尺度研究对象的土壤含水量，能够作为遥感反演和直接测定土壤含水量的一种有效替代方法。模型的建立可以快速、准确的估算土壤含水量，为农林业水资源监测管理提供理论与技术参考。
쾌속차준학고산토양함수량이성위농임업수자원감측적열점문제，응용식피지수고산토양함수량적방법이득도엄범인가화응용。이편휴식광보의측정적고광보수거위기출계산득도8충식피지수，통과회색관련분석법（GRA）대팔충식피지수화기우홍외열상의측정적관층온도진행분석여사선，선취여토양함수량구유교고상관성적지표진행다원선성회귀분석，구건기우다충식피지수적토양함수량고산모형（S MB M-VI），병주모형정도분석。정도평개결과표명：모형의합도교고，체도겁현저수평（p＜0．000），토양함수량고산치여실측치구유교고상관성，r위0．6361，RMSE위2．1499。해방법인입다충식피지수，채용비접촉식적측량방법고산소척도연구대상적토양함수량，능구작위요감반연화직접측정토양함수량적일충유효체대방법。모형적건립가이쾌속、준학적고산토양함수량，위농임업수자원감측관리제공이론여기술삼고。
Estimating soil moisture conveniently and exactly is a hot issues in water resource monitoring among agriculture and forestry.Estimating soil moisture based on vegetation index has been recognized and applied widely.8 vegetation indexes were figured out based on the hyper-spectral data measured by portable spectrometer.The higher correlation indexes among 8 vegeta-tion indexes and surface vegetation temperature were selected by Gray Relative Analysis method (GRA).Then,these selected indexes were analyzed using Multiple Linear Regression to establish soil moisture estimation model based on multiple vegetation indexes,and the model accuracy was evaluated.The accuracy evaluation indicated that the fitting was satisfied and the signifi-cance was 0. 000 (P<0. 001).High correlation was turned out between estimated and measured soil moisture with R2 reached 0. 636 1 and RMSE 2. 149 9.This method introduced multiple vegetation indexes into soil water content estimating over micro scale by non-contact measuring method using portable spectrometer.The exact estimation could be an appropriate replacement for remote sensing inversion and direct measurement.The model could estimate soil moisture quickly and accurately,and provide theory and technology reference for water resource management in agriculture and forestry.