Remotely sensed images of the Earth’s surface provide information about the spatial distribution of evapotranspiration. Since the spatial resolution of evapotranspiration predictions depends on the sensor type; scaling transfer between images of different scales needs to be investigated. The objectives of this study are first to validate the consistency of SEBAL algorithms for satellite images ...

Estimation of evapotranspiration is imperative for effective forest, irrigation and water resources management as well to increase yields better crop management. This study aims evaluate the effectiveness Surface Energy Balance Algorithm Land (SEBAL) in estimating actual 15 years wheat 2A distributary Mahanadi canal Command which situated Dhamtari district Chhattisgarh state India. The Landsat ...

Objetivo deste trabalho foi estimar a biomassa seca em áreas de pastagens com dados satelitários, bem como campo pastagem no Cerrado goiano. O experimento realizado na Bacia Hidrográfica do Rio Vermelho, porção oeste Goiás, utilização das imagens satélite Landsat 8. A estimativa parâmetro obtida combinando os algoritmos SEBAL (Surface Energy Balance Algorithm for Land), e o modelo CASA (Carnegi...

Insurance agents often provide crop hail damage estimates based on their personal experience and field samples, which are not always representative of the investigated field’s spatial variability. For these reasons, farmers insurance market ask for a reliable, objective, less labor-intensive method to determine losses. Integrating remote sensing modeling provides unique opportunity estimate dam...

Quantifying actual evapotranspiration (ETa) over natural vegetation is crucial in evaluating the water status of ecosystems and water-use patterns local or regional hydrological basins. Remote sensing-based surface energy balance models have been used extensively for estimating ETa agro-environments; however, application these to still limited. The algorithm land (SEBAL) physical-based model wa...

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The Surface Energy Balance Algorithm for Land (SEBAL) is one of several remote sensing-based crop evapotranspiration (ET) models. One advantage that SEBAL has is its minimal requirement for ground-based weather data. However, its downside is that in the presence of advection it may underestimate ET. This is due to the use of a fixed evaporative fraction (EF) for the entire day. The EF value is ...

Submit Manuscript | http://medcraveonline.com Abbreviations: ET: Evapotranspiration; ETM: Enhanced Thematic Mapper; EVI: Enhanced Vegetation Index; FAO: The Food and Agriculture Organization of the United Nations; LAI: Leaf Area Index; MODIS: Moderate Resolution Imaging Spectroradiometer (it is attached to Terra a sun synchronous satellite); NDVI; Normalized Difference in Vegetation Index; SAVI...