HW19 Remote Sensing Retrievals of Precipitation and Evapotranspiration

IAHS (Hydrology)



25-Jun-2015, 08:30 - 10:00


 
Abstract content:

On the use of satellite data to implement a distributed dynamic vegetation model in a Mediterranean catchment

It is important to consider that the Mediterranean region is recurrently confronted with the scarcity of the water. The issue of climate change is aggravating this situation. The vegetation plays a key role in the catchment’s water balance particularly for semi-arid areas as Mediterranean region is.

However, many of the dynamic vegetation models are quite complex. To cope with the difficulty of estimating a large number of parameters, the authors focused on the use of a parsimonious model called LUE-model. This model is based on the amount of photosynthetically active radiation absorbed by green vegetation and the Light Use Efficiency index (the efficiency by which that radiation is converted to plant biomass increment).

It has been applied in a Mediterranean catchment located in La Hunde (East of Spain) and it has been implemented using remote sensing data. The satellite information used was Normalized Difference Vegetation Index (NDVI) included in the products MOD13Q1 and MYD13Q1. After implementing the model using only satellite data, the results were tested against field measurements (soil moisture and transpiration data).

In this way, the main objectives of this work were: use the satellite data to calibrate a parsimonious dynamic vegetation model and prove that the obtained results are consistent with field observation, and check the capability of the model to reproduce the vegetation dynamic and hydrological behavior.

The obtained results suggest that this parsimonious model is able to adequately reproduce the dynamics of vegetation and also reproduces reasonably well the soil moisture variations (Nash-Sutcliffe index equal to 0.61 and 0.65 respectively). The obtained results also suggest that satellite data can be used to implement this parsimonious model.

 
Author(s):
G. Ruiz-Pérez1, F. Francés1.
1Research Institute of Water and Environmental Engineering- Universitat Politècnica de València, ., Valencia, Spain.

 

Keywords:
remote sensing     parsimonious     dynamic vegetation modelling     semi-arid