干旱区生态环境知识资源中心(Arid): Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania's Kilombero Valley

Arid

DOI	10.3390/rs11111289
	Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania's Kilombero Valley
	Senkondo, William 1,2; Munishi, Subira E.2; Tumbo, Madaka 3; Nobert, Joel 2; Lyon, Steve W.1,4
通讯作者	Senkondo, William
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2019
卷号	11 期号:11
英文摘要	Evapotranspiration (ET) plays a crucial role in integrated water resources planning, development and management, especially in tropical and arid regions. Determining ET is not straightforward due to the heterogeneity and complexity found in real-world hydrological basins. This situation is often compounded in regions with limited hydro-meteorological data that are facing rapid development of irrigated agriculture. Remote sensing (RS) techniques have proven useful in this regard. In this study, we compared the daily actual ET estimates derived from 3 remotely-sensed surface energy balance (SEB) models, namely, the Surface Energy Balance Algorithm for Land (SEBAL) model, the Operational Simplified Surface Energy Balance (SSEBop) model, and the Simplified Surface Balance Index (S-SEBI) model. These products were generated using the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery for a total of 44 satellite overpasses in 2005, 2010, and 2015 in the heterogeneous, highly-utilized, rapidly-developing and data-limited Kilombero Valley (KV) river basin in Tanzania, eastern Africa. Our results revealed that the SEBAL model had a relatively high ET compared to other models and the SSEBop model had relatively low ET compared to the other models. In addition, we found that the S-SEBI model had a statistically similar ET as the ensemble mean of all models. Further comparison of SEB models' ET estimates across different land cover classes and different spatial scales revealed that almost all models' ET estimates were statistically comparable (based on the Wilcoxon's test and the Levene's test at a 95% confidence level), which implies fidelity between and reliability of the ET estimates. Moreover, all SEB models managed to capture the two spatially-distinct ET regimes in KV: the stable/permanent ET regime on the mountainous parts of the KV and the seasonally varied ET over the floodplain which contains a Ramsar site (Kilombero Valley Floodplain). Our results have the potential to be used in hydrological modelling to explore and develop integrated water resources management in the valley. We believe that our approach can be applied elsewhere in the world especially where observed meteorological variables are limited.
英文关键词	SEBAL SSEBop S-SEBI MODIS remote sensing ensemble mean model Kilombero valley
类型	Article
语种	英语
国家	Sweden ; Tanzania ; USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000472648000032
WOS关键词	DISTRIBUTED HYDROLOGICAL MODEL ; SEBAL MODEL ; DATA-SCARCE ; MAPPING EVAPOTRANSPIRATION ; UNCERTAINTY ANALYSIS ; SPATIAL VARIABILITY ; WATER MANAGEMENT ; SYSTEM SEBS ; RIVER-BASIN ; LAND-USE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218376
作者单位	1.Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden; 2.Univ Dar Es Salaam, Dept Water Resources Engn WRE, POB 35131, Dar Es Salaam, Tanzania; 3.Water Inst, POB 35059, Dar Es Salaam, Tanzania; 4.Nature Conservancy, 2350 NJ-47, Delmont, NJ 08314 USA
推荐引用方式 GB/T 7714	Senkondo, William,Munishi, Subira E.,Tumbo, Madaka,et al. Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania's Kilombero Valley[J],2019,11(11).
APA	Senkondo, William,Munishi, Subira E.,Tumbo, Madaka,Nobert, Joel,&Lyon, Steve W..(2019).Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania's Kilombero Valley.REMOTE SENSING,11(11).
MLA	Senkondo, William,et al."Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania's Kilombero Valley".REMOTE SENSING 11.11(2019).