A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale | |
Zhang, Renhua1; Rong, Yuan1; Tian, Jing1; Su, Hongbo1; Li, Zhao-Liang1; Liu, Suhua1 | |
刊名 | REMOTE SENSING |
2015 | |
卷号 | 7期号:5页码:32-39 |
通讯作者 | Tian, J (reprint author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China. |
英文摘要 | This paper presents a method of estimating regional distributions of surface air temperature (T-a) and surface vapor pressure (e(a)), which uses remotely-sensed data and meteorological data as its inputs. The method takes into account the effects of both local driving force and horizontal advection on T-a and e(a). Good correlation coefficients (R-2) and root mean square error (RMSE) between the measurements of T-a/e(a) at weather stations and T-a/e(a) estimates were obtained; with R-2 of 0.77, 0.82 and 0.80 and RMSE of 0.42K, 0.35K and 0.20K for T-a and with R-2 of 0.85, 0.88, 0.88 and RMSE of 0.24hpa, 0.35hpa and 0.16hpa for e(a), respectively, for the three-day results. This result is much better than that estimated from the inverse distance weighted method (IDW). The performance of T-a/e(a) estimates at Dongping Lake illustrated that the method proposed in the paper also has good accuracy for a heterogeneous surface. The absolute biases of T-a and e(a) estimates at Dongping Lake from the proposed method are less than 0.5Kand 0.7hpa, respectively, while the absolute biases of them from the IDW method are more than 2K and 3hpa, respectively. Sensitivity analysis suggests that the T-a estimation method presented in the paper is most sensitive to surface temperature and that the e(a) estimation method is most sensitive to available energy. |
研究领域[WOS] | Remote Sensing |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000357596900011 |
内容类型 | 期刊论文 |
源URL | [http://ir.ceode.ac.cn/handle/183411/38440] |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1.[Zhang, Renhua 2.Tian, Jing 3.Su, Hongbo 4.Liu, Suhua] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 5.[Rong, Yuan] State Nucl Elect Power Planning Design & Res Inst, Beijing 100095, Peoples R China 6.[Tian, Jing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 7.[Su, Hongbo] Florida Atlantic Univ, Dept Civil Environm & Geomat Engn, Boca Raton, FL 33431 USA 8.[Li, Zhao-Liang] Chinese Acad Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China 9.[Liu, Suhua] Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Renhua,Rong, Yuan,Tian, Jing,et al. A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale[J]. REMOTE SENSING,2015,7(5):32-39. |
APA | Zhang, Renhua,Rong, Yuan,Tian, Jing,Su, Hongbo,Li, Zhao-Liang,&Liu, Suhua.(2015).A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale.REMOTE SENSING,7(5),32-39. |
MLA | Zhang, Renhua,et al."A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale".REMOTE SENSING 7.5(2015):32-39. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论