TY - JOUR
T1 - Modelling forest decline using SMOS soil moisture and vegetation optical depth
AU - Chaparro, D.
AU - Piles, M.
AU - Martínez-Vilalta, J.
AU - Vall-Llossera, M.
AU - Vayreda, J.
AU - Banqué-Casanovas, M.
AU - Camps, A.
N1 - Funding Information:
This study has been supported by the Spanish government through the projects ESP2015-67549-C3-1-R and ESP2017-89463-C3-2-R, through the pre-doctoral grant “Ayudas para contratos predoctorales para la Formación de Doctores”, with reference BES-2013-066240, and through the award "Unidad de Excelencia Maria de Maeztu” MDM-2016-0600, financed by the “Agencia Estatal de Investigación” (Spain). The study has been supported also by the European Regional Development Fund (ERDF).
Publisher Copyright:
© 2018 IEEE
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Global change is increasing the risk of forest decline worldwide, impacting carbon and water cycles. Hence, there is an urgent need for predicting forest decline occurrence. To that purpose, this study links forest decline events in Catalonia, detected by the DEBOSCAT forest monitoring program, with information from the Soil Moisture and Ocean Salinity (SMOS) satellite. Firstly, this study reviews the role of the SMOS soil moisture in a previous forest decline episode occurred in 2012, where the authors concluded that dry soils increased the probability of observing decline in broadleaved forests. Secondly, the present study detects that forest decline in 2012 and 2016 was linked to very dry soil conditions (generally with SM<0.06 m 3 ·m -3 ). A similar analysis is proposed using SMOS Vegetation Optical Depth (VOD) data, which is a proxy of vegetation hydric status. Results and preliminary models will be presented at IGARSS 2018.
AB - Global change is increasing the risk of forest decline worldwide, impacting carbon and water cycles. Hence, there is an urgent need for predicting forest decline occurrence. To that purpose, this study links forest decline events in Catalonia, detected by the DEBOSCAT forest monitoring program, with information from the Soil Moisture and Ocean Salinity (SMOS) satellite. Firstly, this study reviews the role of the SMOS soil moisture in a previous forest decline episode occurred in 2012, where the authors concluded that dry soils increased the probability of observing decline in broadleaved forests. Secondly, the present study detects that forest decline in 2012 and 2016 was linked to very dry soil conditions (generally with SM<0.06 m 3 ·m -3 ). A similar analysis is proposed using SMOS Vegetation Optical Depth (VOD) data, which is a proxy of vegetation hydric status. Results and preliminary models will be presented at IGARSS 2018.
KW - Climate Change
KW - Forest Decline
KW - SMOS
KW - Soil Moisture
KW - Vegetation Optical Depth
UR - http://www.scopus.com/inward/record.url?scp=85063154795&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2018.8518107
DO - 10.1109/IGARSS.2018.8518107
M3 - Article
AN - SCOPUS:85063154795
SP - 1459
EP - 1462
JO - International Geoscience and Remote Sensing Symposium (IGARSS)
JF - International Geoscience and Remote Sensing Symposium (IGARSS)
ER -
