摘要
一個理想的植被指數應只與植被有關，而與土壤類別、溼度及亮度、太陽天頂角無關。如此，植被指數才能充分反映植被生長。本文使用線性混合模式，研究土壤對不同植被指數之影響。依據電腦模擬結果顯示，NDVI（normalized difference vegetation index）受土壤影響遠大於SAVI（soil adjusted vegetation index），此結果與學者研究相符（Huete，1988）。為了充分描述土壤變異之影響，在經過1000次雜訊實驗後，SAVI之平均最大容忍雜訊可達29.0%。最後結果也指出，在高土壤干擾環境或狀況下，SAVI對於植物成長也較NDVI靈敏。
並列摘要
An ideal vegetation index should depend upon vegetation only and independent to soil type, soil humidity and solar zenith angle. Information of vegetation growth may therefore be deduced from such a vegetation index. In this paper, linear mixture model is used to study the soil effect to different vegetation indices. It indicates that NDVI is greatly affected by soil effect than that of SAVI, similar to the finding by Huete (1988). SAVI can also tolerate maximum noise up to 29.0% after 1000 times of noise test. Results demonstrate that SAVI is more sensitive to vegetation growth than NDVI under the conditions of higher soil interference.