For the requirements of integrating the Energy and Water Balance model into the remote sensing model, in this paper we developed a basic technological process of land-surface evapotranspiration remote sensing monitoring system using C# language mixed with ENVI/IDL (which flexibility offered digital image processing) and ArcGIS Engine (which has powerful functions in spatial analysis), and designed the hydrometeorological and remote sensing information database and the pattern of integrating the Energy and Water Balance model into the remote sensing model. Then we researched the method of evapotranspiration (ET) unit derived and the function of regional ET evaluation based on multi spatial and temporal scales. By all of above, integration and application of the Energy and Water Balance model into the remote sensing model were implemented. The study area of this research is Sanhuajian basin which located in Yellow River. The process experimental data is MODIS (Moderate-resolution Imaging Spectroradiometer) image which date from August 2002 to August 2009. The system extracted the parameters related to ET which include surface temperature, water index, vegetation index, impervious surface and etc, and completed part of the land surface ET parameter extraction task. By using the modul of ET processing batch the system achieved the requirement of the ET derived completely. The report generated by the statistical report modul displayed the basic thematic statistical information and the remote-sensing monitoring thematic map information. The results show that this remote sensing monitoring system has the advantages of short execution time and high efficiency and friendly human-computer interaction, and it is helpful to solve the crux of complication processes in land surface ET estimation using routine remote sensing softwares, and it has been of great practical value.
QIAN Zhiqi, ZHANG Youjing, DENG Shizan, FANG Yingying, CHEN Chen
. Developing Land-surface Evapotranspiration Remote Sensing Monitoring System Using the Component Technology[J]. Journal of Geo-information Science, 2011
, 13(5)
: 679
-686
.
DOI: 10.3724/SP.J.1047.2011.00679
[1] Widmoser P. A Discussion on and Alternative to the Penman-Monteith Equation[J]. Agricultural Water Management, 2009,96(4): 711-721.
[2] Chauhan S, Shrivastava R K. Performance Evaluation of Reference Evapotranspiration Estimation Using Climate Based Methods and Artificial Neural Networks[J]. Water Resources Management, 2009, 23(5): 825-837.
[3] 高彦春, 龙笛. 遥感蒸散发模型研究进展[J]. 遥感学报, 2008, 12(3): 515-528.
[4] 马荣华. 湖泊水环境遥感[M]. 北京: 科学出版社, 2010.
[5] 韩雪, 彭国照. 地表蒸散遥感监测的进展及问题[J]. 高原山地气象研究, 2009, 29(2): 81-84.
[6] 王甡, 江南, 胡斌. 基于IDL语言的太湖蓝藻水华遥感监测信息系统设计[J]. 遥感信息, 2010(2):59-64.
[7] 杨建洪, 陈艳拢, 赵冬至,等. 赤潮卫星遥感监测系统软件构建[J]. 海洋环境科学, 2008, 27(2): 78-81.
[8] 吴炳方, 熊隽, 闫娜娜,等. 基于遥感的区域蒸散量监测方法——ETWatch[J]. 水科学进展, 2008, 19(5): 671-678.
[9] 李昆, 王洒. 基于IDL的黑河调水遥感监测系统[J]. 信息技术, 2009(6): 54-55.
[10] 邓世赞, 张友静, 张子衡,等. 基于IDL的MODIS影像地表蒸散发参数反演系统[J]. 河海大学学报(自然科学版), 2010, 38(4): 40-44.
[11] 熊金国, 王丽涛, 王世新,等. 植被水分遥感监测处理系统的建立及应用[J]. 计算机应用研究, 2009, 26(5): 1819-1831.
[12] 南锋. 基于ArcGIS Engine与C#.net的地图鹰眼功能的实现[J]. 信息技术, 2009(3): 27-28.
[13] 冯锐, 纪瑞鹏, 武晋雯,等. 基于ArcGIS Engine的干旱监测预测系统[J]. 中国农学通报, 2010, 26(20): 366-372.
[14] 李俊. 在C#中运用ArcGISEngine的ActiveX控件开发程序[J]. 软件技术, 2010(5): 71-72.
[15] 张旭, 蒋卫国, 周廷刚,等. GIS支持下的基于DEM的水文响应单元划分——以洞庭湖为例[J]. 地理与地理信息科学, 2009, 25(4): 17-21.
[16] 舒栋才. 基于DEM的山地森林流域分布式水文模型研究 . 四川大学, 2005,11.
[17] Timmermans W J, Kustas W P, Anderson M C, et al. An Interomparison of the Surface Energy Balance Algorithm for land (SEBAL) and the Two-Source Energy Balance (TSEB) Modeling Schemes[J]. Remote Sensing of Environment, 2007, 108(4): 369-384.
[18] Bastiaanssen W G M. SEBAL-based Sensible and Latent Heat Fluxes in the Irrigated Gediz Basin, Turkey[J]. Journal of Hydrology, 2000, 229(1/2): 87-100.
[19] 韩培友. IDL可视化分析与应用[M]. 西安: 西北工业大学出版社, 2006.
[20] 郭建文, 冯敏, 尚庆生,等. IDL在分布式GIS系统中的应用研究[J]. 计算机应用研究, 2007, 24(5): 220-222.
[21] 朱元励. 基于遥感和模型同化的水稻生长监测预测技术研究 . 南京农业大学, 2009,6.
[22] 汤泉, 牛铮. 基于IDL与ENVI二次开发的遥感系统开发方法[J]. 计算机应用, 2008(28): 270-276.
[23] 郭建文, 冯敏, 尚庆生,等. IDL在分布式G IS系统中的应用研究[J]. 计算机应用研究, 2007, 24(5): 220-222.
[24] 吴炳方, 邵建华. 遥感估算蒸腾蒸发量的时空尺度推演方法及应用[J]. 水利学报, 2006, 37(3): 286-292.
[25] 刘建梅, 王安志, 刁一伟,等. 分布式模型在流域蒸散模拟中的应用与验证[J]. 应用生态学报, 2006, 17(1): 45-50.
[26] 吕竞. 水环境系统分析中多元统计分析方法的应用——以成都市地表水水质监测数据综合分析为例 . 四川大学, 2006,5.
