@proceedings{Merkohasanaj2018,

title = {Utility assessment in using optical and radar data to monitor surface water dynamic in wetland ecosystems, Fuente de Piedra, Spain (UMA)},

author = {M. Merkohasanaj and A. Sánchez-Espinosa and D. Abdul-Malak and C. Schroder and J. Truckenbrodt and A. I. Marín},

url = {/wp-content/uploads/Merkohasanajetal2018.pdf},

year  = {2018},

date = {2018-10-24},

publisher = {Simposio del Agua en Andalucía (SIAGA), Huelva, 24 a 27 de octubre},

series = {SIAGA 2018},

abstract = {To enable a better conservation in wetland ecosystems is important to monitor continuous changes and pressures on them. In this context, satellite remote sensing has become one of the most suitable tools since it ensures good availability, high frequency and large coverage of imagery that is analyzed and validated in a harmonized way. 

This study covers the validation process of Surface Water Dynamic (SWD) products of Fuente de Piedra, south Spain, developed in the framework of SWOS Horizon 2020 project, and assesses its applicability to provide accurate open water surface estimations and take a step further in enhancing water dynamics monitoring in wetland ecosystems. 

Firstly, two different SWD temporal frequency (TF) datasets were generated for Fuente de Piedra: one using optical satellite data (Landsat time series), covering the period between January 2007 and September 2015, and the other using Synthetic Aperture Radar (SAR) data (Sentinel 1 time series), from November 2014 to March 2017. The open surface water extent area (SWE) was extracted for both cases and then validated with corresponded TF in-situ environmental data as precipitation, temperature and piezometric level.

Findings underscore that piezometric level is the first environmental variable highly correlated with the SWE and the variable with the strongest predictive capacity for SWD. Both optical and radar data provide high positive correlation with SWD, R= 0.932 for Landsat and R=0.936 for SAR products. The main conclusion of the study underlines the high accuracy of using remote sensing data in monitoring hydrological dynamics in this wetland ecosystem and provides evidence to use this approach for wetland monitoring at different scales.},

keywords = {Ecosystem services, Geotechnology, Groundwater, SWOS, Wetlands},

pubstate = {published},

tppubtype = {proceedings}

}