Concerning with the complex characteristics of the arid, semi-arid terrain surface, such as undulating topography, un-unique land use/covers and less vegetated land surface, etc. the N’95 model integrated with remote sensing techniques for the estimation of actual evapotranspiration was modified and improved with the focus on the estimation of the net radiation received by surface considering the influence of slope and aspect to the solar shortwave irradiance and surface long-wave irradiance. In addition to that, albedo, displacement height, roughness length for momentum, roughness length for heat, the diabatic correction factors for momentum and heat, the resistance to heat flow in the boundary layer directly ediately above the soil surface in the original N’95 model were modified with new approaches to enable the application of the model more easier in operation and much accurate in computation in terms of specific terrain surface conditions. The instantaneous evapotranspiration was estimated with the modified N’95 model by using the Landsat ETM+ data for an experimental study site located on the conjuncture area of Shaanxi, Gansu and Ningxia where the terrain surface is very undulating with less vegetation developed, heavy soil and water loss loess plateau. And then the spatial pattern of the instantaneous evapotranspiration was analyzed. Actual instantaneous evapotranspiration of 3033 verification points of the study area was calculated with the extra resistance method to compare with the modified N’95 model estimated, which suggested that the modified N’95 model can be used for the accurate estimation of evapotranspiration in arid and semi-arid rugged terrain area covered by sparse vegetation.
[1] 辛晓洲,田国良,柳钦火.地表蒸散定量遥感的研究进展[J].遥感学报, 2003, 7 (3): 233~240.
[2] 詹志明.区域遥感蒸散发模型方法研究[J].遥感技术与应用, 2002, 17 (6): 364~369.
[3] Zhang W C,Chen J M,Ogawa K,et al. Estimation of evapotranspiration in the Urumqi River Basin by means of remote sensing & GIS technique[J].Hydrological Processes, 2005, 19(9): 1839-1854.
[4] 李晓军,李取生.东北地区参考作物蒸散确定方法研究[J].地理科学, 2004, 24 (2): 212~216.
[5] 付 炜.土壤类型遥感识别推理决策器研究[J].地理科学, 2002, 22 (1): 72~78.
[6] 颜长珍,吴炳方.晋陕蒙接壤区林草覆盖变化的遥感分析[J].地理科学, 2004, 24 (4): 465~471.
[7] 王爱玲,朱文泉,李 京,等.内蒙古生态系统服务价值遥感测量[J].地理科学, 2007, 27 (3): 325~330.
[8] 安 如,赵 萍,王慧麟,等.遥感影象中居民地信息的自动提取与制图[J].地理科学, 2005, 25 (1): 74~80.
[9] 刘 强,何 岩,章光新.苏打盐渍土土壤水分动态及其与浅层地下水的交换关系[J].地理科学,2008,28(6):782~787.
[10] 杨艳丽,史学正,于东升,等.区域尺度土壤养分空间变异及其影响因素研究[J].地理科学,2008,28(6):788~782.
[11] 陈 辉,刘劲松,王 卫.冀北地区植被指数变化特征及影响因素分析[J].地理科学,2008,28(6):793~798.
[12] 历 华,柳钦火,邹 杰.基于MODIS数据的长株潭地区NDBI和NDVI与地表温度的关系研究[J].地理课学,2009,29(2):262~267.
[13] 刘三超,张万昌,高懋芳,等.分布式水文模型结合遥感研究地表蒸散发[J].地理科学, 2007, 27 (3): 354~358.
[14] 刘雅妮,武建军,夏 虹,等.地表蒸散遥感反演双层模型的研究方法综述[J].干旱区地理, 2005, 28 (1): 65~71.
[15] Norman J M, Kustas W P, Humes K S. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature[J]. Agric. For. Meteorol., 1995, 77(3): 263-293.
[16] Li F, Kustas W P, Prueger J H, et al. Utility of Remote Sensing Based Two-Source Energy Balance Model under Low- and High-Vegetation Cover Conditions [J]. Journal of Hydrometeorology, 2005, 6(6): 878-891.
[17] Kustas W P, Norman J M. Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover [J]. Agric. For. Meteorol., 1999, 94(1): 13-29.
[18] Anderson M C, Norman J M, Diak G R, et al. A two-source time-integrated model for estimating surface fluxes from thermal infrared satellite observations[J]. Remote Sens. Environ., 1997, 60(2): 195-216.
[19] Ross J. The radiation regime and architecture of plants [M].//Lieth H (Ed).Tasks for Vegetation Sciences 3. Dr. W. Junk, The Hague, Netherlands, 1981.
[20] Heggem E S F, Etzelmüller B,Berthling I. Topographic radiation balance models sensitivity and application in periglacial geomorphology [J]. Norwegian Journal of Geography, 2001, 55 (4): 203-211.
[21] Choudhury B J, Idso S B, Reginato R J. Analysis of an empirical model for soil heat flux under a growing wheat crop for estimating evaporation by an infrared-temperature based energy balance equation[J]. Agric. For. Meteorol., 1987, 39: 283-297.
[22] Priestly C H B, Taylor R J. On the assessment of surface heat flux and evaporation using large-scale parameters. Mon [J]. Weather Reu., 1972, 100: 81-92.
[23] Allen R K, Pereira L S, Raes D, et al. Crop evapotranspiration. Guideline for computing crop water requirements. FAO Irrigation and Drainage Paper No. 56[M]. United Nations Food and Agricultural Organization, Rome, 1998: 300.
[24] Conese C, Gilabert M A, Maselli F, et al. Topographic normalization of TM scenes through the use of an atmospheric correction method and digital terrain models[J]. Photogramm. Eng. Rem. S., 1993, 59 (12): 1745–1753.
[25] Hay J E, McKay D C. Estimating solar irradiation on inclined surfaces: a review and assessment of methodologies[J]. International Journal of Solar Energy, 1985, 3: 203-240.
[26] Hansen L B, Kamstrup N, Hansen B U. Estimation of net short-wave radiation by the use of remote sensing and a digital elevation model—a case study of a high arctic mountainous area [J]. Int. J. Remote Sen., 2002, 23(21): 4699-4718.
[27] Dozier H, Frew J. Rapid calculation of terrain parameters for radiation modeling from digital elevation data [J]. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28 (5): 963-969.
[28] Liang S L. Narrowband to broadband conversions of land surface albedo: I. algorithms[J]. Remote Sensing of Environment, 2000, 76 (2): 213-238.
[29] Moore I D, Norton T W, Williams J E. Modelling environmental heterogeneity in forested landscapes[J]. Journal of Hydrology, 1993, 150 (2): 717-747.
[30] Duguay C R. An approach to the estimation of surface net radiation in mountain areas using remote sensing and digital terrain data[J]. Theoretical and Applied Climatology, 1995, 52(1-2): 55-68.
[31] Brutsaert W. Evaporation into the atmosphere [M]. D. Reidel, Dordrecht, Holland. 1982:299.
[32] Choudhury B J, Monteith J L. A four-layer model for the heat budget of homogeneous land surfaces[J].Quart. J. Roy. Meteor. Soc., 1988, 114(480): 373-398.
[33] Zhang Y, Liu C, Lei Y, et al. An integrated algorithm for estimating regional latent heat flux and daily evapotranspiration[J]. Int. J. Remote Sen., 2006, 27 (1): 129 -152.
[34] Businger J A. A note on the Businger-Dyer profiles [J]. Boundary-Layer Meteorology, 1988, 42(1-2): 145-151.
[35] Webb E K. Profile relationships: The log-linear range, and extension to strong stability[J]. Quart. J. Roy. Meteor. Soc., 1970, 96 (407):67-90.
[36] Li F Q, Lyons T J. Estimation of regional evapotranspiration through remote sensing[J]. Journal of applied meteorology, 1998, 38 (11): 1644-1654.
[37] Biftu G F, Gan T Y. A semi-distributed, physics-based hydrologic model using remotely sensed and Digital Terrain Elevation Data for semi-arid catchments[J]. Int. J. Remote Sen., 2004, 25 (20): 4351-4379.
[38] Chavez P S Jr. Image-Based Atmospheric Correction-Revisited and Improved [J]. Photogramm. Eng. Rem. S., 1996, 62 (9): 1025-1036.
[39] Gao Y N, Zhang W C. A simple empirical topographic correction method for ETM+ imagery [J]. Int. J. Remote Sen., 2009. (in press)
[40] Li F Q, Lyons T J. Remote estimation of regional evapotranspiration [J]. Environ. Modell. & Softw., 2002,17 (1): 61-75.