TY - GEN
T1 - Using Daily Stand-Scale Evapotranspiration (ET) Estimated from Remotely Sensed Data to Investigate Drought Impact on et in a Temporate Forest in the Central Us
AU - Yang, Yun
AU - Anderson, Martha
AU - Gao, Feng
AU - Hain, Christopher
AU - Wood, Jeffrey
AU - Gu, Lianhong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Forests provide many important service functions, including habitat for wildlife, timber production and watershed water regulation. Short-term drought can make forests more susceptible to wildfire and insect attack, while long-term drought can directly increase forest mortality. Evapotranspiration (ET) is a key parameter that links the hydrological and ecological processes. Studying the impact of drought on ET, especially at stand-scale, can provide useful information for forest management. In this study, we applied a multi-scale data fusion ET modeling method using remotely sensed data to estimate daily 30 m ET over a natural forest in central US from 2010 to 2012, with 2012 as an extreme drought year. The estimated ET agrees well with the observed ET. Drought impact on ET is further analyzed and demonstrates the value of remotely sensed ET in studying drought impact on forest water use.
AB - Forests provide many important service functions, including habitat for wildlife, timber production and watershed water regulation. Short-term drought can make forests more susceptible to wildfire and insect attack, while long-term drought can directly increase forest mortality. Evapotranspiration (ET) is a key parameter that links the hydrological and ecological processes. Studying the impact of drought on ET, especially at stand-scale, can provide useful information for forest management. In this study, we applied a multi-scale data fusion ET modeling method using remotely sensed data to estimate daily 30 m ET over a natural forest in central US from 2010 to 2012, with 2012 as an extreme drought year. The estimated ET agrees well with the observed ET. Drought impact on ET is further analyzed and demonstrates the value of remotely sensed ET in studying drought impact on forest water use.
KW - Evapotranspiration (ET)
KW - Landsat
KW - data fusion
KW - drought
KW - forest
UR - http://www.scopus.com/inward/record.url?scp=85077722935&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2019.8898301
DO - 10.1109/IGARSS.2019.8898301
M3 - Conference contribution
AN - SCOPUS:85077722935
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6035
EP - 6038
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -
