Producing daily actual evapotranspiration (ET a ) maps with high spatial resolution has always been challenge for remote sensing research. This study assessed the feasibility of producing ET (30 m) sugarcane farmlands Amir Kabir Sugarcane Agro-industry (Khuzestan, Iran) using three different scenarios. In first scenario, reflectance bands Landsat 8 were predicted from moderate imaging spectrora...

Evapotranspiration (ET) is expected to increase by a considerable amount because of the impact of future temperature increase. Nowadays, the daily to seasonal ET maps can be used to provide information for a sustainable and adaptive watershed eco-environment. This study attempts to estimate the spatial ET of South Korea (99,900 km2), located within the latitudes of 33◦06′N to 43◦01′N and the lo...

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 ...

The culture of açaí (Euterpe oleraceae M.), originating from floodplain areas, was planted on dry land in many properties Pará, Brazil, making necessary the use irrigation. To irrigate adequately with less waste, it is that studies aim at increasing efficiency water this sector, and one ways to do so estimate evapotranspiration (ET). objective study actual daily using Surface Energy Balance Alg...

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...

Agriculture in developing countries might benefit from advanced satellite based data mining approaches. The objective of the current study was to evaluate the added value of highabove coarseresolution satellite imagery in crop yield forecasting. This study focused on a coarse-resolution pixel in the Nile Delta in Egypt. Within this coarse-resolution pixel, 256 high-resolution (15 m) ASTER pixel...

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...