NDLI: Experiments of satellite data simulation based on the Community Land Model and SCE-UA algorithm

Content Provider	IEEE Xplore Digital Library
Author	Shenglei Zhang Jiancheng Shi Youjun Dou Xiaojun Yin Liying Li Chenzhou Liu
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing, Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, China (Shenglei Zhang; Jiancheng Shi; Youjun Dou; Xiaojun Yin; Liying Li; Chenzhou Liu)
Abstract	The study developed a dual-phase satellite data simulation system to simulate the gridded Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) satellite brightness temperature (BT) data and calibrate the microwave wetland surface emissivity, which based on the National Center for Atmosphere Research (NCAR) Community Land Model version 2.0 (CLM2.0), microwave land emissivity model (LandEM), Shuffled Complex Evolution algorithm (SCE-UA) and gridded AMSR-E BT data. The system was implemented in two phases: the parameters calibration phase and the AMSR-E BT simulation phase. It used the outputs of the CLM2.0 as the inputs of the LandEM, the LandEM parameters and the wetland emissivity were calibrated by the SCE-UA algorithm in the parameters calibration phase, and the calibrated parameters were used as the final model parameters of the LandEM in the AMSR-E BT simulation phase. The experimental results indicate that the SCE-UA algorithm can effectively calibrate the LandEM parameters and microwave wetland surface emissivity, and they possess excellent transportability. It provides a promising solution to obtain the microwave wetland surface emissivity through parameters calibration method, thus we can simulate the gridded AMSR-E BT data for various land cover types, such as bare soil, vegetation, snow, lake, and wetland, which will greatly improve land data assimilation study. In addition, we attempted to use the parameterized bare surface and snow emissivity model to substitute that of the LandEM, the simulation results can make great improvement.
Starting Page	28
Ending Page	31
File Size	588830
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6048889
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Land surface Data models Microwave theory and techniques Snow Satellites Calibration Vegetation mapping Land data assimilation Community land model SCE-UA AMSR-E land emissivity model
Content Type	Text
Resource Type	Article

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