Estimation Model for NOAA/NDVI Changes of Meadow Steppe in Inner Mongolia Using Meteorological Data

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  • 気象データに基づく中国内蒙古草原採草地のNOAA/NDVI季節変化推定モデル
  • Estimation Model for NOAA/NDVI Changes of Meadow Steppe in Inner Mongolia Using Meteorologcal Data

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Abstract

A model using meteorological data was proposed for estimating the seasonal changes of the Normalized Difference Vegetation Index (NDVI) of meadow steppe in Inner Mongolia, China, which was obtained from the Advanced Very High Resolution Radiometer (AVHRR) onboard the National Oceanic and Atmospheric Administration (NOAA). The production of grassland is affected by seasonal changes in meteorological factors. Aboveground biomass changes should be reflected in seasonal NOAA/NDVI changes (⊿NDVI). So, we estimated the seasonal NOAA/NDVI changes of meadows in Inner Mongolia grassland using meteorological data from mid April (growth of plants starts) to mid August (post-maturity and before cutting). The model is based on simple and multiple regressions, and independent variables with ⊿NDVI in each 10-day period, dependent variables with a mean air temperature (T_α, ℃) and the sum of the precipitation (P_α,mm) in period α where α is followed by 6 different periods as if τis the same period as with ⊿NDVI measured ; 1=τ,2=(τ-1), 3=(τ-2), 4=τ+(τ-1), 5=(τ-1)+(τ-2), 6=τ+(τ-1)+(τ-2). In this case, τ is the same 10-day period of the estimated ⊿NDVI. Here, numbers in parenthesis is reflecting the number of 10-day periods measured ⊿NDVI. ⊿NDVl can be obtained by two simple regressions and one multiple regression which is divided into the following three phases : S_1) Initial growth phase (mid April to mid May), ⊿NDVI=0.001053+0.000118 T_5 (R^2=0.122, P<0.05) S_2) Flushing growth phase (late May to early July), ⊿NDVI=0.008358+0.000071P_5-0.000342T_5 (R^2=0.169, P<0.05) S_3) Maturity phase (mid July to mid August) ⊿NDVI=0.01918-0.000943T_6 (R^2=0.235, P<0.01) Using these results, seasonal NDVI changes were simulated by the following equation. NDVI=NDVI_0+Σ⊿NDVI×10 where, NDVI_0 is the initial value observed in early April. The results of calculations on seasonal NDVI revealed that the error between the observed NDVI and the estimated NDVI was 12.9% (R^2=0.912, P<0.001). In order to verify this model, we constructed models for 7 years, and tested them with the meteorological data of the excepted year. As a result, it was suggested that the present model can be used for the other years as well.

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