scholarly journals Evapotranspiración del cultivo de granado por balance de energía

2020 ◽  
pp. 1-6
Author(s):  
Norma Guadalupe Sifuentes-Morín ◽  
José Ernesto Frías-Ramírez ◽  
Alan Joel Servín-Prieto ◽  
José Alfredo Montemayor-Trejo
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Satellite Images ◽  
Surface Energy Balance ◽  
Potential Evapotranspiration ◽  
Research Work ◽  
Landsat 8 ◽  
Yield Determination ◽  
Crop Cycle ◽  
The Cost

Evapotranspiration is a key element in calculating the surface energy balance, wáter balance and crop water stress and crop yield determination. However, it´s direct measurement or estimation is frequently complicated, since the diversity and complexity of the factors acting in this physical process. (morphological, physiological and soil factors). SEBAL (Surface Energy Balance Algorithm for Land) estimates ET based on satellite images, using the principles of surface energy balance producing excellent results as reported in several studies of different scientist authors; minimizing the cost and time for the ET determination for large vegetation zones. The objective of this research work was to estimate the potential evapotranspiration for the pomegranate crop in a commercial farm, located in Gomez Palacio, Durango, Mexico, by SEBAL using Landsat 8 satellite images during the crop cycle 2016. The results were validated with estimates of ET by the FAO 56 method, obtaining a Willmott concordance index of 0.96, which means good estimation precision.

scholarly journals Application of an improved surface energy balance model to two large valley glaciers in the St. Elias Mountains, Yukon

2020 ◽  
pp. 1-16
Author(s):  
Tim Hill ◽  
Christine F. Dow ◽  
Eleanor A. Bash ◽  
Luke Copland
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Shortwave Radiation ◽  
Balance Model ◽  
Landsat 8 ◽  
Glacier Surface ◽  
Ice Dynamics ◽  
Surface Melt

Abstract Glacier surficial melt rates are commonly modelled using surface energy balance (SEB) models, with outputs applied to extend point-based mass-balance measurements to regional scales, assess water resource availability, examine supraglacial hydrology and to investigate the relationship between surface melt and ice dynamics. We present an improved SEB model that addresses the primary limitations of existing models by: (1) deriving high-resolution (30 m) surface albedo from Landsat 8 imagery, (2) calculating shadows cast onto the glacier surface by high-relief topography to model incident shortwave radiation, (3) developing an algorithm to map debris sufficiently thick to insulate the glacier surface and (4) presenting a formulation of the SEB model coupled to a subsurface heat conduction model. We drive the model with 6 years of in situ meteorological data from Kaskawulsh Glacier and Nàłùdäy (Lowell) Glacier in the St. Elias Mountains, Yukon, Canada, and validate outputs against in situ measurements. Modelled seasonal melt agrees with observations within 9% across a range of elevations on both glaciers in years with high-quality in situ observations. We recommend applying the model to investigate the impacts of surface melt for individual glaciers when sufficient input data are available.

Estimation of Evapotranspiration using Remote Sensing and Surface Energy Balance Algorithm for Land (SEBAL) in Canal Command

2021 ◽  
Vol 58 (03) ◽  
pp. 274-285
Author(s):  
H. V. Parmar ◽  
N. K. Gontia
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Surface Energy ◽  
Land Surface ◽  
Surface Energy Balance ◽  
Crop Growth ◽  
Growth Stages ◽  
Landsat 8 ◽  
Surface Temperatures ◽  
Canal Command

Remote sensing based various land surface and bio-physical variables like Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), surface albedo, transmittance and surface emissivity are useful for the estimation of spatio-temporal variations in evapotranspiration (ET) using Surface Energy Balance Algorithm for Land (SEBAL) method. These variables were estimated under the present study for Ozat-II canal command in Junagadh district, Gujarat, India, using Landsat-7 and Landsat-8 images of summer season of years 2014 and 2015. The derived parameters were used in SEBAL to estimate the Actual Evapotranspiration (AET) of groundnut and sesame crops. The lower values NDVI observed during initial (March) and end (May) stages of crop growth indicated low vegetation cover during these periods. With full canopy coverage of the crops, higher value of NDVI (0.90) was observed during the mid-crop growth stage. The remote sensing-based LST was lower for agricultural areas and the area near banks of the canal and Ozat River, while higher surface temperatures were observed for rural settlements, road and areas with exposed dry soil. The maximum surface temperatures in the cropland were observed as 311.0 K during March 25, 2014 and 315.8 K during May 31, 2015. The AET of summer groundnut increased from 3.75 to 7.38 mm.day-1, and then decreased to 3.99 mm.day-1 towards the end stage of crop growth. The daily AET of summer sesame ranged from 1.06 to 7.72 mm.day-1 over different crop growth stages. The seasonal AET of groundnut and sesame worked out to 358.19 mm and 346.31 mm, respectively. The estimated AET would be helpful to schedule irrigation in the large canal command.

scholarly journals Improving Estimation of Cropland Evapotranspiration by the Bayesian Model Averaging Method with Surface Energy Balance Models

Atmosphere ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 188 ◽  
Author(s):  
Huaiwei Sun ◽  
Yong Yang ◽  
Ruiying Wu ◽  
Dongwei Gui ◽  
Jie Xue ◽  
...  
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Bayesian Model ◽  
Surface Energy Balance ◽  
Bayesian Model Averaging ◽  
Model Averaging ◽  
Semiarid Region ◽  
Accurate Estimation ◽  
Landsat 8 ◽  
Efficiency Coefficient

Evapotranspiration (ET) is one of the key components of the global hydrological cycle. Many models have been established to obtain an accurate estimation of ET, but the uncertainty of each model has not been satisfactorily addressed, and the weight determination in multi-model simulation methods remains unclear. In this study, the Bayesian model averaging (BMA) method was adopted to tackle this issue. We explored the combination of four surface energy balance (SEB) models (SEBAL, SSEB, S-SEBI and SEBS) with the BMA method by using Landsat 8 images over two study areas in China, the Huailai flux station (semiarid region) and the Sidaoqiao flux station (arid/semiarid region), and the data from two stations were used as validation for this method. The performances of SEB models and different BMA methods is revealed by three statistical parameters (i.e., the coefficient of determination (R2), root mean squared error (RMSE), and the Nash-Sutcliffe efficiency coefficient (NSE)). We found the best performing SEB model was SEBAL, with an R2 of 0.609 (0.672), RMSE of 1.345 (0.876) mm/day, and NSE of 0.407 (0.563) at Huailai (Sidaoqiao) station. Compared with the four individual SEB models, each of the BMA methods (fixed, posterior inclusion probability, or random) can provide a more accurate and reliable simulation result. Similarly, in Huailai (Sidaoqiao) station, the best performing BMA random model provided an R2 of 0.750 (0.796), RMSE of 0.902 (0.602) mm/day, and NSE of 0.746 (0.793). We conclude that the BMA method outperformed the four SEB models alone and obtained a more accurate prediction of ET in two cropland areas, which provides important guidance for water resource allocation and management in arid and semiarid regions.

scholarly journals Estimativa do Saldo de Radiação Instantâneo na Cidade do Recife, através de Imagens do Satélite LANDSAT 5 TM (Estimation of Instantaneous Radiation Balance in City of Recife, Via Satellite Images LANDSAT 5 TM)

2011 ◽  
Vol 4 (3) ◽  
pp. 589 ◽  
Author(s):  
Elvis Bergue Mariz Moreira ◽  
Ranyére Silva Nóbrega ◽  
Bernardo Barbosa da Silva
Keyword(s):  
Energy Balance ◽  
Solar Radiation ◽  
Surface Energy ◽  
Urban Areas ◽  
Satellite Images ◽  
Surface Energy Balance ◽  
Radiation Balance ◽  
Abstract Knowledge ◽  
Landsat 5 Tm ◽  
The City

O conhecimento do saldo de radiacao em areas urbanas e fundamental em estudos de monitoramento de mudanças climaticas e pode ser um indicador de urbanizacao vivenciando por uma determinada area, contudo apresenta-se no campo das pesquisas cientificas pouco exploradas. O principal objetivo desse trabalho foi a obtencao do saldo de radiacao instantaneo na cidade do Recife. Para tanto, foram utilizadas duas imagens do Mapeador Tematico do satélite Landsat 5 referente as datas 26 de agosto de 2006 e 06 de setembro 2010 na orbita e ponto 215/66. As imagens foram processadas atraves do algoritmo SEBAL (Surface Energy Balance Algorithm for Land) que e baseado na irradiacao medida nos canais reflectivos (1,2,3,4,5 e 6). Os resultados encontrados apontaram para as imagens em estudo, os menores valores do (Rn) nas areas urbanas e os maiores foram encontrados nas areas com vegetacao e corpos hidricos. A cena referente ao ano de 2006 apresentou na area urbana valores de (Rn) inferiores a 692 Wm-2 , enquanto o ano de 2010 apresentou 730 Wm-2. De modo geral, os maiores valores de (Rn) foram encontrados na imagem de 2010, tal aumento pode esta associado a saxonalidade da radiacao solar. Palavras chaves: radiacao solar, sensoriamento remoto, algoritmo sebal  Estimation of Instantaneous Radiation Balance in City of Recife, Via Satellite Images LANDSAT 5 TM    ABSTRACT  Knowledge of the radiation balance in urban areas is essential in monitoring studies of climate change and can be an indicator of urban living for a certain area, but has in the field of scientific research unexplored. The main objective of this work was to obtain the instantaneous net radiation in the city of Recife. Therefore, we used two images from Landsat Thematic Mapper 5 for the dates August 26, 2006 and September 6, 2010 point in the orbit and 215/66. The images were processed through the algorithm SEBAL (Surface Energy Balance Algorithm for Land) which is based on irradiation as reflective channels (1,2,3,4,5 and 6). The results pointed to the images under study, the lowest values of (Rn) in urban areas and the largest were found in areas with vegetation and water bodies. The scene for the year 2006 presented in the urban area values (Rn) of less than 692 Wm-2, while the year 2010 showed 730 Wm-2. In general, the highest values of (Rn) were found in the image of 2010, this increase is associated with can saxonalidade solar radiation.  Keywords: solar radiation, remote sensing, algorithm sebal

scholarly journals Surface Albedo and Temperature Models for Surface Energy Balance Fluxes and Evapotranspiration Using SEBAL and Landsat 8 over Cerrado-Pantanal, Brazil

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7196
Author(s):  
Lucas Peres Angelini ◽  
Marcelo Sacardi Biudes ◽  
Nadja Gomes Machado ◽  
Hatim M. E. Geli ◽  
George Louis Vourlitis ◽  
...  
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Temperature ◽  
Transition Region ◽  
Surface Albedo ◽  
Surface Energy Balance ◽  
Landsat 8 ◽  
Surface Reflectance ◽  
Mato Grosso ◽  
Better Than

The determination of the surface energy balance fluxes (SEBFs) and evapotranspiration (ET) is fundamental in environmental studies involving the effects of land use change on the water requirement of crops. SEBFs and ET have been estimated by remote sensing techniques, but with the operation of new sensors, some variables need to be parameterized to improve their accuracy. Thus, the objective of this study is to evaluate the performance of algorithms used to calculate surface albedo and surface temperature on the estimation of SEBFs and ET in the Cerrado-Pantanal transition region of Mato Grosso, Brazil. Surface reflectance images of the Operational Land Imager (OLI) and brightness temperature (Tb) of the Thermal Infrared Sensor (TIRS) of the Landsat 8, and surface reflectance images of the MODIS MOD09A1 product from 2013 to 2016 were combined to estimate SEBF and ET by the surface energy balance algorithm for land (SEBAL), which were validated with measurements from two flux towers. The surface temperature (Ts) was recovered by different models from the Tb and by parameters calculated in the atmospheric correction parameter calculator (ATMCORR). A model of surface albedo (asup) with surface reflectance OLI Landsat 8 developed in this study performed better than the conventional model (acon) SEBFs and ET in the Cerrado-Pantanal transition region estimated with asup combined with Ts and Tb performed better than estimates with acon. Among all the evaluated combinations, SEBAL performed better when combining asup with the model developed in this study and the surface temperature recovered by the Barsi model (Tsbarsi). This demonstrates the importance of an asup model based on surface reflectance and atmospheric surface temperature correction in estimating SEBFs and ET by SEBAL.

scholarly journals Estimativa da Perda de Água Na APA do Rio Pandeiros, Minas Gerais

2020 ◽  
Vol 30 (62) ◽  
pp. 768
Author(s):  
Lucas Augusto Silva ◽  
Cristiano Marcelo Pereira de Souza ◽  
Marcos Esdras Leite ◽  
Roberto Filgueiras
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Minas Gerais ◽  
Landsat 8

A evapotranspiração (ETR) varia conforme o uso da terra, período do ano, e pode influenciar no regime hidrológico de uma área. O objetivo foi analisar em série temporal (verão e inverno) as taxas de ETR em bacia hidrográfica, situada no Bioma Cerrado, em condição climática Subúmido-Seco. Utilizamos o algoritmo SEBAL (Surface Energy Balance Algorithm for Land) para estimar a ETR por imagem de satélite Landsat-8, no período de verão e inverno. Selecionamos áreas de oito classes de uso da terra (Cerradão, Cerrado ralo, Mata Seca, Cerrado degradado pelo fogo, irrigação com pivô, pastagem, eucalipto e Veredas). Analise de Componente Principal (PCA) foi aplicada para observar a relação dos usos com outras variáveis (índice de área foliar, índice de área foliar, fluxo de calor sensível, fluxo de calor latente, resistência aerodinâmica, saldo de radiação, e altitude) por. A ETR varia conforme época do ano, com maior ETR no verão, e as maiores médias ocorrem nas áreas de eucalipto (7,5 mm d-1) e veredas (7,2 mm d-1). O cerrado ralo, uso predominante na bacia, possui menor ETR (2,5 mm d-1 / verão), e a conversão destas áreas para usos antrópicos implica no aumento de ETR. A PCA indicou que os usos, alteram a ETR devido ao estado fenológico da planta, e baseado nas condições climáticas. Há indicativo que os reflorestamentos com eucalipto, em áreas de recarga pode afetar negativamente o regime hídrico da bacia em virtude do aumento da ETR.

scholarly journals APPLICATION OF SIMPLIFIED SURFACE ENERGY BALANCE INDEX (S-SEBI) FOR CROP EVAPOTRANSPIRATION USING LANDSAT 8

2018 ◽  
Vol XLII-1 ◽  
pp. 33-37 ◽  
Author(s):  
A. Basit ◽  
R. Z. Khalil ◽  
S. Haque
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Irrigation Scheduling ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Landsat 8 ◽  
Crop Evapotranspiration ◽  
Crop Water ◽  
Balance Index

<p><strong>Abstract.</strong> Assessment and monitoring of crop water requirement (CWR) or crop evapotranspiration (ETc) over a large spatial scale is the critical component for irrigation and drought management. Due to growing competition and increasing shortage of water, careful utilization of water in irrigation is essential. The usage of water for irrigation/agriculture is a top priority for countries like Pakistan, where the GDP mostly based on agriculture, and its scarcity may affect the crop production. Remote sensing techniques can be used to estimate crop water requirement or crop evapotranspiration which can help in efficient irrigation. Simplified-surface energy balance index (SSEBI) model is used to estimate evapotranspiration (ET) of wheat during 2015&amp;ndash;16 growing period in Tando Adam, Sindh. Landsat-8 satellite data for the corresponding years were used. With the help of National Agromet Centre report chart of Crop coefficient (Kc) the CWR, ETc of all phonological stages were estimated. Results indicated that maximum ET and maximum CWR were found in the third leaf to tillering stage with a value of 0.75 and 0.89 respectively. This study will help in managing and monitoring of ET spatial distribution over irrigated crops which results in better irrigation scheduling and water consumption.</p>

scholarly journals BIOMASSA SECA ESTIMADA EM ÁREAS DE PASTAGENS COM DADOS DE SENSORIAMENTO REMOTO: Estudo de caso na bacia hidrográfica do Rio Vermelho - Goiás

2021 ◽  
Vol 32 (2) ◽  
pp. 150-171
Author(s):  
Gabriel Alves Veloso ◽  
Janete Rêgo Silva ◽  
Manuel Eduardo Ferreira ◽  
Laerte Guimarães Ferreira Júnior
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Landsat 8

Objetivo deste trabalho foi estimar a biomassa seca em áreas de pastagens com dados satelitários, bem como dados de campo em áreas de pastagem no Cerrado goiano. O experimento foi realizado em áreas de pastagens na Bacia Hidrográfica do Rio Vermelho, porção oeste de Goiás, com a utilização das imagens do satélite Landsat 8. A estimativa deste parâmetro foi obtida combinando os algoritmos SEBAL (Surface Energy Balance Algorithm for Land), e o modelo CASA (Carnegie Ames Stanford Approach). Dentre os resultados, a análise da biomassa seca apresentou melhor resultado com o método SEBAL/CASA. Portanto, a estimativa da biomassa seca da pastagem com dados climáticos locais, bem com a calibração dos modelos com dados biofísicos específicos apresentou bons resultados. Palavras-chaves: Pastagem; Landsat 8; Cerrado; Modelagem

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