Title
Estimation of evapotranspiration over northeast Asia using modis products and MM5 FDDA data
Abstract
Evapotranspiration (ET) is significant and necessary to understand the hydrological cycle and to assess water resource at any region. The Moderate Resolution Imaging Spectroradiometer (MODIS) offers promising techniques to monitor regional or global ET patterns. Under cloudy conditions, however, some pixels contain missing data that hamper the continuous monitoring of ET. In this study, MODIS atmospheric and land products were used ET estimates under clear and partial clear sky condition, and atmospheric data produced by the Four-Dimensional Data Assimilation (FDDA) between MODIS products and the Fifth Generation Meso-scale Meteorological Model (MM5) and MODIS land products were used ET estimates under cloudy sky condition. MODIS ET under clear and cloudy sky conditions showed a good agreement with nine flux tower observations in Northeast Asia. These results indicate that MODIS can be applied to monitor ET with reasonable accuracy.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5652014
IGARSS
Keywords
Field
DocType
modis atmospheric products,remote sensing,transpiration,modis,mm5 fdda data,data assimilation,4d data assimilation,evapotranspiration,hydrological techniques,modis land products,mm5-fdda,evaporation,global evapotranspiration pattern monitoring,regional evapotranspiration pattern monitoring,hydrological cycle,evapotranspiration estimation,northeast asia,moderate resolution imaging spectroradiometer,modis products,fifth generation mesoscale meteorological model,atmospheric modeling,missing data
Meteorology,Moderate-resolution imaging spectroradiometer,Computer science,Remote sensing,Atmospheric model,Sky,MM5,Data assimilation,Missing data,Water cycle,Evapotranspiration
Conference
ISSN
ISBN
Citations 
2153-6996 E-ISBN : 978-1-4244-9564-1
978-1-4244-9564-1
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Keunchang Jang121.07
Seungtaek Jeong201.35
Sinkyu Kang332.13
Jaechul Kim439918.14
Chong Bum Lee500.34
Joon Kim681.10