A Study on the Changes in NDVI of Panjin Reed Wetland and an Analysis on Its Correlation with Meteorological Factors

International Conference on Manufacturing Technology, Materials and Chemical Engineering

机械制造;材料科学;化学工业

Feng, R.^1,2 ; Wu, J.W.^2 ; Yu, W.Y.^2 ; Ji, R.P.^2 ; Hu, W.^3 ; Zhang, Y.S.^2

Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing

100081, China^1

Institute of Atmospheric Environment, China Meteorological Administration, Shenyang

110016, China^2

Liaoning Weather Modification Office, Shenyang

110166, China^3

关键词: Correlation coefficient;    Ecological balance;    Evaporation capacity;    Liaohe River Delta;    Meteorological data;    Meteorological factors;    Normalized differential vegetation indices;    Small fluctuation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/392/4/042038/pdf
DOI  :  10.1088/1757-899X/392/4/042038

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

As the main body of the Liaohe River Delta, the Panjin Wetland plays a vital role in maintaining the ecological balance throughout the region. The analysis of the correlation between NDVI and meteorological factors was carried out on reed wetland by using the normalized differential vegetation index (NDVI) data of Panjin Reed Wetland from 2006 to 2015 and such meteorological data as ten-day average temperature, ten-day precipitation, ten-day sunshine duration, ten-day relative humidity and ten-day evaporation capacity. The results showed that the NDVI of Panjin Reed Wetland had no obvious year-to-year changes from 2006 to 2015 and showed a slight upward trend with small fluctuations. However, the NDVI of Panjin Reed Wetland had significant intra-annual changes and was depicted as a single-peaked curve in the crop growing season. The curve reached the peak value in early- and mid-July, which was highly consistent with the phenophase. The ten-day NDVI of reed wetland is most and positively correlated to the ten-day average temperature, with the correlation coefficient reaching a value of 0.7874.