TY - GEN
T1 - Remotely sensed clear-sky surface longwave downward radiation by using multivariate adaptive regression splines method
AU - Zhou, Wang
AU - Wang, Tianxing
AU - Shi, Jiancheng
AU - Peng, Bin
AU - Zhao, Rui
AU - Yu, Yuechi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Surface radiation balance plays a vital role in the earth surface system and affects many biogeophysical processes. As one of components of surface energy balance, longwave downward radiation (LWDR) is considered as the most poorly estimated radiation component, and its uncertainty is regarded as substantially larger than other terms of surface energy budget. In this paper, we applied the multivariate adaptive regression splines (MARS) method to derive LWDR based on MODIS thermal infrared bands top of atmosphere radiances and ground-based LWDR measurements. In model fitting process, the RMSE, bias and R-square value are 25.49 W/m2, -0.000 W/m2 and 0.88, respectively; and in model validation stage, the RMSE, bias and R-square value are 25.63 W/m2, 0.481 W/m2 and 0.87, respectively. The newly proposed model demonstrates comparable accuracy with other LWDR estimating methods and proves that MARS method is very useful in remote sensing based LWDR estimation.
AB - Surface radiation balance plays a vital role in the earth surface system and affects many biogeophysical processes. As one of components of surface energy balance, longwave downward radiation (LWDR) is considered as the most poorly estimated radiation component, and its uncertainty is regarded as substantially larger than other terms of surface energy budget. In this paper, we applied the multivariate adaptive regression splines (MARS) method to derive LWDR based on MODIS thermal infrared bands top of atmosphere radiances and ground-based LWDR measurements. In model fitting process, the RMSE, bias and R-square value are 25.49 W/m2, -0.000 W/m2 and 0.88, respectively; and in model validation stage, the RMSE, bias and R-square value are 25.63 W/m2, 0.481 W/m2 and 0.87, respectively. The newly proposed model demonstrates comparable accuracy with other LWDR estimating methods and proves that MARS method is very useful in remote sensing based LWDR estimation.
KW - Longwave downward radiation
KW - MODIS
KW - Multivariate adaptive regression splines
KW - Remote sensing
UR - http://www.scopus.com/inward/record.url?scp=85064157209&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2018.8519297
DO - 10.1109/IGARSS.2018.8519297
M3 - Conference contribution
AN - SCOPUS:85064157209
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 5571
EP - 5574
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -