全球智库信息集成服务系统(G2TT): Estimating reference evapotranspiration using remote sensing and empirical models in a region with limited ground data availability in Kenya.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.apgeog.2010.05.011
	Estimating reference evapotranspiration using remote sensing and empirical models in a region with limited ground data availability in Kenya.
	Maeda EE; Wiberg D; Pellikka PKE
发表日期	2011
出处	Applied Geography 31 (1): 251-258
出版年	2011
语种	英语
摘要	Evapotranspiration is an important component of the hydrological cycle and its accurate quantification is crucial for the design, operation and management of irrigation systems. However, the lack of meteorological data from ground stations is a clear barrier to the proper management of water resources in poor countries, increasing the risks of water scarcity and water conflicts. In the presented study, three temperature based ET models are evaluated in the Taita Hills, Kenya, which is a particularly important region from the environmental conservation point of view. The Hargreaves, the Thornthwaite and the Blaney - Criddle are the three tested methods, given that these are the most recommended approaches when only air temperature data are available. Land surface temperature data, retrieved from the MODIS/Terra sensor are evaluated as an alternative input for the models. One weather station with complete climate datasets is used to calibrate the selected model using the FAO-56 Penman- Monteith method as a reference. The results indicate that the Hargreaves model is the most appropriate for this particular study area, with an average RMSE of 0.47 mm d-1, and a correlation coefficient of 0.67. The MODIS LST product was satisfactorily incorporated into the Hargreaves model achieving results that are consistent with studies reported in the literature using air temperature data collected in ground stations.
主题	Ecosystems Services and Management (ESM) ; Greenhouse Gas Initiative (GGI) ; Modeling Land-Use and Land-Cover Changes (LUC)
关键词	Reference evapotranspiration Remote sensing Empirical models Taita Hills Kenya
URL	http://pure.iiasa.ac.at/id/eprint/9655/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/129363
推荐引用方式 GB/T 7714	Maeda EE,Wiberg D,Pellikka PKE. Estimating reference evapotranspiration using remote sensing and empirical models in a region with limited ground data availability in Kenya.. 2011.