With 75 soil samples collected in Qitai County,Xinjiang, the spectral reflectance (R), logarithm of reciprocal spectral reflectance (lg(1/R)), first derivative spectral reflectance(FDR)and spectral band depth(Depth)were used to analyze the relationship between the visible-near infrared (VNIR) spectrum and the content of the nutrient elements N、P、K of the soil. Prediction models were established with tested precision levels. The results showed that: the VNIR had great potential to estimate rapidly three nutrient elements content of soil, and the order of prediction accuracy values for the nutrient elements was: N>P>K. The inversion model accuracy varied on different spectral indicators, and the predictive effect for Depth and FDR were obviously superior to lg (1/R) and R. The fitting effect of N and P elements was: lg(1/R)<R<FDR<Depth, and the inversion models established by the index of Depth were the best for N and P; while the inversion accuracy value for K element was: lg(1/R)<R<Depth<FDR, and the inversion model established by the index of FDR was optimal for K.
Luan Fuming
,
Xiong Heigang
,
Wang Fang
,
Zhang Fang
. Hyperspectral Reflectance Inversion Models on Content of N, P, K of Soil in Oasis-Desert Ecotone[J]. Journal of Desert Research, 2014
, 34(5)
: 1320
-1328
.
DOI: 10.7522/j.issn.1000-694X.2013.00231
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