Remote Estimation of Leaf Water Content Using Spectral Index Derived From Hyperspectral Data

Monitoring crop water content by remote sensing has been an important problem for agricultural drought monitoring and water resources management. The triangular water vegetation index is affected by canopy structure parameters, such as leaf area index. To improve this, we used the method of ratio index to put forward a new vegetation index with the improved soil adjustable vegetation index. The precision of the new index for monitoring agricultural drought was verified by simulated data and field observation data. The results showed that the new index was a good method to monitoring the crop water content. However, due to the limitations of data acquisition, the field validation was only with the data of wheat which observed in Yucheng, shandong province. In the future, more tests still need to be done.