Research Papers

Estimating land surface radiation balance using MODIS in northeastern China

[+] Author Affiliations
Lingxue Yu

Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun 130012, China

University of Chinese Academy of Sciences, Beijing 100049, China

Tingxiang Liu

Bureau of Land and Resources of Linyi City, Linyi 276000, China

Hongyan Cai

Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China

Junmei Tang

University of Maryland, Baltimore County, Department of Geography and Environment Systems, Baltimore, Maryland 21250, United States

Kun Bu, Jiuchun Yang, Shuwen Zhang

Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun 130012, China

Fengqin Yan, Chaobin Yang

Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun 130012, China

University of Chinese Academy of Sciences, Beijing 100049, China

J. Appl. Remote Sens. 8(1), 083523 (Nov 11, 2014). doi:10.1117/1.JRS.8.083523
History: Received October 2, 2013; Revised September 16, 2014; Accepted September 18, 2014
Text Size: A A A

Abstract.  Net radiation (Rn) is the balance between the incoming and outgoing radiation fluxes of longwave and shortwave radiations. As an essential parameter for surface energy budgets, Rn has been widely applied to weather prediction, agriculture evaluation, and regional water resource management. However, the traditional methods for estimating the net radiation are inadequate at the local to regional scales because of their spatial discontinuity and the uneven distribution of radiation sites. With high temporal and spatial resolutions, moderate resolution imaging spectroradiometer data provide numerous terrestrial and atmosphere products, which can help to estimate the shortwave and longwave radiations with limited measured meteorological data. Although many studies have calculated the radiation budget, most of them were applied in North America, where extensive ground validation data are available. In northeastern China, research on the radiation budget was rare, and ground validation data were difficult to acquire, which made our study meaningful and significant. In our work, we have experimented with different parameterization schemes of the components of the radiation budget in our study area and chose the most suitable one to estimate the instantaneous net radiation flux and its components for the study area. The results showed that the RMSE of the downwelling shortwave radiation flux, downwelling longwave radiation flux, upwelling longwave radiation flux, and instantaneous Rn were 31.5, 22.36, 20.61, and 34.32W/m2, respectively. The sinusoidal model of the diurnal cycle and instantaneous Rn were used to calculate the daily average Rn, and the resulting RMSE was 47.67W/m2. Finally, the variation of the monthly average Rn of northeastern China in 2011 was analyzed, and the result showed that the temporal and spatial distributions of the monthly average net radiation might be closely related to the land cover types, specifically the seasonal snow cover changes.

Figures in this Article
© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Lingxue Yu ; Tingxiang Liu ; Hongyan Cai ; Junmei Tang ; Kun Bu, et al.
"Estimating land surface radiation balance using MODIS in northeastern China", J. Appl. Remote Sens. 8(1), 083523 (Nov 11, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.083523


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.