S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance

Roerink, G.J.; Su, Zhongbo; Menenti, Massimo

doi:10.1016/s1464-1909(99)00128-8

Cited by 614 publications

(580 citation statements)

References 7 publications

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“…Trapezoid/triangle diagrams are constructed from a population of pixel values of surface temperature and vegetation index and used to infer the relative value of ET (e.g., Choudhury, 1995;Moran et al, 1994;Roerink et al, 2000;Wang et al, 2007). In these diagrams, the range of surface temperature values at a given class of vegetation index is the basis for determining relative ET, assuming that the lowest temperature in a certain range of vegetation index represents potential ET.…”

Section: Evapotranspirationmentioning

confidence: 99%

Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data

Karimi

Bastiaanssen

2015

Hydrol. Earth Syst. Sci.

124

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Abstract. The scarcity of water encourages scientists to develop new analytical tools to enhance water resource management. Water accounting and distributed hydrological models are examples of such tools. Water accounting needs accurate input data for adequate descriptions of water distribution and water depletion in river basins. Ground-based observatories are decreasing, and not generally accessible. Remote sensing data is a suitable alternative to measure the required input variables. This paper reviews the reliability of remote sensing algorithms to accurately determine the spatial distribution of actual evapotranspiration, rainfall and land use. For our validation we used only those papers that covered study periods of seasonal to annual cycles because the accumulated water balance is the primary concern. Review papers covering shorter periods only (days, weeks) were not included in our review. Our review shows that by using remote sensing, the absolute values of evapotranspiration can be estimated with an overall accuracy of 95 % (SD 5 %) and rainfall with an overall absolute accuracy of 82 % (SD 15 %). Land use can be identified with an overall accuracy of 85 % (SD 7 %). Hence, more scientific work is needed to improve the spatial mapping of rainfall and land use using multiple space-borne sensors. While not always perfect at all spatial and temporal scales, seasonally accumulated actual evapotranspiration maps can be used with confidence in water accounting and hydrological modeling.

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Section: Evapotranspirationmentioning

confidence: 99%

Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data

Karimi

Bastiaanssen

2015

Hydrol. Earth Syst. Sci.

124

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“…The correct parameterization of the model requires extreme water conditions to occur in the region to characterize the edges of the evaporative triangle. Especially when using images of low spatial resolution (pixel of 1,000 m or more), identifying and mapping dry and wet edges can be problematic, given the difficulty of finding small plots with representative water conditions (Roerink et al, 2000;Kustas et al, 2004). Sandholt et al (2002) proposed to use large areas in the parameterization process to overcome these limitations, even when using low-resolution images.…”

Section: Introductionmentioning

confidence: 99%

Two approaches to calculate TVDI in humid subtropical climate of southern Brazil

Schirmbeck

Fontana

Schirmbeck

2018

Sci. agric. (Piracicaba, Braz.)

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“…Esses processos radiativos na superfície interferem significativamente na redistribuição de umidade e calor no solo e na atmosfera que, por sua vez, afetam o comportamento do tempo, clima e biosfera na Terra (BASTIAANSSEN et al, 1998;ROERINK et al, 2000).…”

Section: Introductionunclassified

Estimativa Do Balanço De Radiação Por Sensoriamento Remoto De Diferentes Usos De Solo No Sudoeste Da Amazônia Brasileira

et al. 2015

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Artigo recebido em 01/11/2014 e aceito para publicação em 21/09/2015 RESUMO:Mudanças no uso do solo têm motivado pesquisas sobre a dinâmica de trocas radiativas e energéticas na Amazônia Brasileira que, por sua vez, geram demanda destas informações de superfície em escalas espaciais e temporais. Enquanto a medição destas trocas em torres micrometeorológicas fornece resultados pontuais, o sensoriamento remoto apresenta resultados acurados e de baixo custo para estimá-las em escala regional. Este estudo objetivou avaliar a distribuição espacial e temporal de estimativas de saldo de radiação e parâmetros biofísicos por sensoriamento remoto de diferentes usos do solo no sudoeste da Amazônia Brasileira. Foram selecionadas 04 áreas de solo coberto por floresta amazônica natural, floresta amazônica manejada, sistema silvipastoril e pastagem. O saldo de radiação, NDVI, índice de área foliar, albedo e temperatura radiométrica foram estimados pelo algoritmo SEBAL, usando imagens do sensor

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S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance

Cited by 614 publications

References 7 publications

Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data

Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data

Two approaches to calculate TVDI in humid subtropical climate of southern Brazil

Estimativa Do Balanço De Radiação Por Sensoriamento Remoto De Diferentes Usos De Solo No Sudoeste Da Amazônia Brasileira

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