遥感反演土壤蒸发/植被蒸腾二层模型在华北地区的应用
收稿日期: 2008-11-14
修回日期: 2009-03-24
网络出版日期: 2009-09-25
基金资助
河海大学水文水资源与水利工程科学国家重点实验室开放基金项目(2007490111);国家自然科学基金青年基金项目(40801141和40871170);地理科学与资源研究所知识创新工程新进所青年人才领域前沿项目(07v70050SZ)
Application of an operational two-layer model for soil evaporation and vegetation transpiration retrievals in North China
Received date: 2008-11-14
Revised date: 2009-03-24
Online published: 2009-09-25
Supported by
河海大学水文水资源与水利工程科学国家重点实验室开放基金项目(2007490111);国家自然科学基金青年基金项目(40801141和40871170);地理科学与资源研究所知识创新工程新进所青年人才领域前沿项目(07v70050SZ)
利用一种可操作的地表蒸散遥感反演二层模型,以我国华北平原为研究区,选择2004年的3月至6月华北地区主要农作物冬小麦的生长季节作为研究时段,利用MODIS遥感卫星数据,结合地面130多个气象台站的空气温湿度实测数据,实现了土壤蒸发和植被蒸腾的反演。采用国家生态网络禹城综合试验站利用涡度相关系统观测的地表总蒸散半小时平均的数据进行了模型验证,结果表明模型估算的地表可利用能量与地面实测数据的相关系数可以达到0.92,均方差为30.4w.m-2;模型估算的地表总蒸散值与地面实测数据的相关系数为0.85,均方差为21.3 w.m-2,由此证明了模型的可用性。
田 静, 苏红波, 孙晓敏, 陈少辉 . 遥感反演土壤蒸发/植被蒸腾二层模型在华北地区的应用[J]. 地理研究, 2009 , 28(5) : 1297 -1306 . DOI: 10.11821/yj2009050016
On the basis of an operational two-layer model for estimating soil evaporation and vegetation transpiration, the vegetation transpiration and the soil evaporation during the rapidly growing season of winter wheat in northern China are retrieved using MODIS satellite data and field measurement data from 137 standard meteorological stations. Pixel Component Arranging and Comparing Algorithm and Layered Energy-separating Algorithm are the key components of the model. The former is used for decomposing surface temperature of mixed pixel into soil temperature and vegetation temperature and the latter is used for calculating Bowen-ratio of soil and vegetation, respectively. A surface energy balance method is used to determine the theoretical boundary lines, namely 'true wet/cool edge' and 'true dry/warm edge', in the trapezoid composed of mixed surface temperature and vegetation fractional cover. The variables required for the model mainly include near surface vapor pressure, air temperature, surface resistance, aerodynamic resistance, fractional vegetation cover, surface temperature and net radiation. Also their retrievals are described in the paper. Terrestrial surface heat fluxes measured by the Eddy Correlation system at Yucheng Agro-ecosystem Station are used to validate the estimated results. It shows that the correlation coefficient between the estimated surface available energy and the measured is 0.92 and the root mean squares difference (RMSD) is 30.4w.m-2, the correlation coefficient between the estimated surface evapotranspiration and the measured value is 0.85 and RMSD is 21.3w.m-2. The above differences are mainly caused by: 1) the scale difference between the field measurement and the MODIS observation; 2) the non-closure problem of the surface energy balance from the surface fluxes observations; and 3) the effects of the horizontal and vertical advection on flux measurements.
[1] 高歌,陈德亮,任国玉,等. 1956~2000年中国潜在蒸散量变化趋势. 地理研究, 2006, 25(3):378~387.
[2] 陈丹,莫兴国,林忠辉,等. 基于MODIS数据的无定河流域蒸散模拟.地理研究, 2006, 25(4):617~623.
[3] 孙睿,刘昌明.地表水热通量研究进展.应用生态学报, 2003, (14):434~438.
[4] Zhang R H,Tian J,Su H B,et al. Two improvements of an operational two-layer model for terrestrial surface heat flux retrieval. Sensors, 2008, 8:6165~6187.
[5] 张仁华,孙晓敏,王伟民,等. 一种可操作的区域尺度地表通量定量遥感二层模型的物理基础. 中国科学D辑:地球科学,2004,34:200~216.
[6] Gillies R R,Carlson T N,Cui J,et al. A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface radiant temperature. International Journal of Remote Sensing, 1997, 18:3145~3166.
[7] Sandholt I,Rasmussen K,et al. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 2002, 79:13~224.
[8] Stisen S,Sandholt I,Norgaard A,et al. Combining the triangle method with thermal inertia to estimate regional evapotranspiration-Applied to MSG-SEVIRI data in the Senegal River basin. Remote Sensing of Environment, 2007, 112:1242~1255.
[9] Carlson T N,Gillies R R,Schmugge T J. An interpretation of methodologies for indirect measurement of soil-water content. Agricultural and Forest Meteorology, 1995, 77:191~205.
[10] Carlson T. An overview of the "Triangle Method" for estimating surface evapotranspiration and soil moisture from satellite imagery.Sensors, 2007, 7:1612~1629.
[11] Moran M S, Clarke T R,Inoue Y,et al. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment, 1994, 49:246~263.
[12] 张仁华. 实验遥感模型及地面基础. 北京:科学出版社, 1996.
[13] Kustas W P,Li F,Jackson T J,et al. Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa. Remote Sensing of Environment, 2004, 92:535~547.
[14] 盛裴轩,毛节泰,李建国,等. 大气物理学. 北京:北京大学出版社, 2005.
[15] Qiu G Y,Shi P J,Wang L M. Theoretical analysis of a remotely measurable soil evaporation transfer coefficient.Remote Sensing of Environment, 2006, 101:390~398.
[16] 孙敏章,刘作新,吴炳方,等. 卫星遥感监测ET方法及其在水管理方面的应用. 水科学进展, 2006, 16(3):468~474.
[17] Rahman H,Dedieu G. SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum. International Journal of Remote Sensing, 1994, 15:123~143.
[18] 张仁华,孙晓敏,刘纪远,等. 定量遥感反演作物蒸腾和土壤水分利用率的区域分异. 中国科学D辑:地球科学, 2001, 31:959~968.
[19] 莫兴国,林忠辉,李宏轩,等.基于过程模型的河北平原冬小麦产量和蒸散量模拟.地理研究, 2004, 23(5):623~631.
[20] 莫兴国,刘苏峡,于沪宁,等.冬小麦能量平衡及蒸散分配的季节变化. 地理学报,1997,52 (6):536~5421.
[21] 李正泉,于贵瑞,温学发,等. 中国通量观测网络(ChinaFLUX)能量平衡闭合状况的评价. 中国科学D辑:地球科学, 2004, 34(增刊Ⅱ):46~56.
[22] 田静,张仁华,孙晓敏,等. 基于遥感信息的水平平流通量观测影响校正模型研究. 中国科学D辑:地球科学, 2006, 36(增刊Ⅰ):255~262.
[23] 郭家选,梅旭荣,卢志光,等.测定农田蒸散的涡度相关技术. 中国农业科学, 2004, 37(8):1172~1176.
/
| 〈 |
|
〉 |