TY - GEN
T1 - Integration of climate time series and MODIS data as an analysis tool for forest drought detection
AU - Domingo, C.
AU - Pons, X.
AU - Cristóbal, J.
AU - Ninyerola, M.
AU - Wardlow, B.
N1 - Publisher Copyright:
© 2015 Taylor & Francis Group, London.
PY - 2015
Y1 - 2015
N2 - Drought, a phenomenon that has a strong impact on natural ecosystems, is a main topic for land management and policy making. The effects of drought on forests have received less attention than in agricultural systems as are not as well understood yet. Drought can have harmful effects on forests regarding occurrence of fire episodes or deterioration of ecosystem services. Thus, understanding spatio-temporal drought patterns is a key input in forest-related management. Monthly Standardized Precipitation Evapotranspiration Index was computed for Spain to identify climate anomalies which may become droughts. However, climate-based patterns did not entirely explain the real state of vegetation; therefore, vegetation indices derived from MODIS sensor were calculated as indicative of physiological forest parameters. An exploratory analysis was conducted based on time-series of climatic and MODIS data. Results showed the capability of the methodology to identify and characterize drought patterns on forests and its potentiality for the identification of vulnerable areas.
AB - Drought, a phenomenon that has a strong impact on natural ecosystems, is a main topic for land management and policy making. The effects of drought on forests have received less attention than in agricultural systems as are not as well understood yet. Drought can have harmful effects on forests regarding occurrence of fire episodes or deterioration of ecosystem services. Thus, understanding spatio-temporal drought patterns is a key input in forest-related management. Monthly Standardized Precipitation Evapotranspiration Index was computed for Spain to identify climate anomalies which may become droughts. However, climate-based patterns did not entirely explain the real state of vegetation; therefore, vegetation indices derived from MODIS sensor were calculated as indicative of physiological forest parameters. An exploratory analysis was conducted based on time-series of climatic and MODIS data. Results showed the capability of the methodology to identify and characterize drought patterns on forests and its potentiality for the identification of vulnerable areas.
UR - http://www.scopus.com/inward/record.url?scp=84941570787&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84941570787&partnerID=8YFLogxK
U2 - 10.1201/b18077-17
DO - 10.1201/b18077-17
M3 - Conference contribution
AN - SCOPUS:84941570787
T3 - Drought: Research and Science-Policy Interfacing - Proceedings of the International Conference on Drought: Research and Science-Policy Interfacing
SP - 97
EP - 104
BT - Drought
A2 - Andreu, Joaquín
A2 - Solera, Abel
A2 - Paredes-Arquiola, Javier
A2 - Haro-Monteagudo, David
A2 - van Lanen, Henny A.J.
PB - CRC Press/Balkema
T2 - International Conference on Drought: Research and Science-Policy Interfacing, 2015
Y2 - 10 March 2015 through 13 March 2015
ER -