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

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 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 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 ANÁLISE DO BALANÇO DE RADIAÇÃO E ENERGIA EM ÁREAS DE VEREDAS NO NORTE DE MINAS GERAIS, BIOMA CERRADO

2020 ◽  
Vol 18 (01) ◽  
pp. 220-247
Author(s):  
Gabriel Alves Veloso ◽  
Lucas Augusto Pereira da Silva ◽  
Manuel Eduardo Ferreira
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
High Water ◽  
Minas Gerais ◽  
Landsat 8 ◽  
Cerrado Biome ◽  
Water Recharge ◽  
Remote Sensing Techniques

A vereda, típica formação no bioma Cerrado, é reconhecida por sua elevada capacidade de recarga hídrica, em função de uma topografia plana, solos hidromórficos e proximidade de matas de galeria/cursos hidrográficos. Estudos nesses ambientes ainda são escassos, especialmente aqueles voltados para o entendimento da dinâmica do balanço de radiação e energia, relacionado com processos ecológicos e climáticos. O objetivo do trabalho é analisar o comportamento do balanço de energia em ambientes de veredas no Norte de Minas Gerais, em área amostral específica, com técnicas avançadas de sensoriamento remoto, aplicando-se o algoritmo SEBAL (Surface Energy Balance Algorithms for Land). No contexto do balanço de energia, os seguintes valores médios foram obtidos para o inverno e verão, respectivamente: Rn 24 h de 98,71 Wm-2 e 230,95 Wm-2; G de 53,43 Wm-2 e 80,84 Wm-2; H de 26,93 Wm-2 e 88,52 Wm-2; LE de 77,78 Wm-2 e 142,34 Wm-2; e taxa de evapotranspiração de 2,53 mm.d-1 e 5,02 mm.d-1. As técnicas de sensoriamento remoto utilizadas neste estudo foram de grande utilidade para as análises em áreas de vereda, destacando com eficiência o comportamento do balanço de energia e evapotranspiração nesse importante ambiente no Cerrado. Palavras-chave: Savana. Recarga hídrica. Sazonalidade climática. SEBAL. Landsat 8.     ANALYSIS OF THE RADIATION AND ENERGY BALANCE IN VEREDAS AREAS IN NORTHERN MINAS GERAIS, CERRADO BIOME ABSTRACT The vereda, typical formation in the Cerrado biome, is recognized for its high-water recharge capacity, due the flat topography, hydromorphic soils and proximity to gallery forests / river courses. Studies in these environments are still scarce, especially those aimed at understanding the dynamics of the radiation and energy balance, related to ecological and climatic processes. The objective of the work is to analyze the energy balance behavior in vereda environments in Northern of Minas Gerais state, in a specific sample area, with advanced remote sensing techniques, applying the SEBAL algorithm (Surface Energy Balance Algorithms for Land). Among the results, it was observed that the behavior of the components of the balance of radiation and energy follow the meteorological and phenological dynamics expected for this phytophysiognomy. In the context of the energy balance, the following average values were obtained, in the winter and summer, respectively: Rn 24 h of 98.71 Wm-2 and 230.95 Wm-2; G of 53.43 Wm-2 and 80.84 Wm-2; H of 26.93 Wm-2 and 88.52 Wm-2; LE of 77.78 Wm-2 and 142.34 Wm-2; and evapotranspiration rate of 2.53 mm.d-1 and 5.02 mm.d-1. The remote sensing techniques used in this study were of great useful for analyzes in veredas, efficiently highlighting the behavior of energy balance and evapotranspiration in this important environment of Cerrado. Keywords: Savanna.  Water recharge.  Climatic seasonality.  SEBAL.  Landsat 8.    ANÁLISIS DE LA RADIACIÓN Y EL EQUILIBRIO ENERGÉTICO EN LAS ZONAS DE VEREDA EN EL NORTE DE MINAS GERAIS, CERRADO BIOME RESUMEN El Vereda, formación típica en el bioma Cerrado, es reconocido por su alta capacidad de recarga de agua, debido a su topografía plana, suelos hidromórficos y proximidad a bosques de galería / cursos hidrográficos. Los estudios en estos entornos aún son escasos, especialmente aquellos destinados a comprender la dinámica de la radiación y el equilibrio energético, relacionados con los procesos ecológicos y climáticos. El objetivo del trabajo es analizar el comportamiento del equilibrio energético en entornos de senderos en el norte de Minas Gerais, en un área de muestra específica, con técnicas avanzadas de teledetección, aplicando el algoritmo SEBAL (Algoritmos de equilibrio de energía de superficie para tierra).  En el contexto del balance energético, se obtuvieron los siguientes valores promedio para invierno y verano, respectivamente: Rn 24 h de 98.71 Wm-2 y 230.95 Wm-2; G de 53,43 Wm-2 y 80,84 Wm-2; H de 26.93 Wm-2 y 88.52 Wm-2; LE de 77.78 Wm-2 y 142.34 Wm-2; y tasa de evapotranspiración de 2.53 mm.d-1 y 5.02 mm.d-1. Las técnicas de detección remota utilizadas en este estudio fueron de gran utilidad para los análisis en áreas de senderos, destacando efectivamente el comportamiento del equilibrio energético y la evapotranspiración en este importante entorno en el Cerrado.  Palabras-clave: Savanna. Recarga de agua. Estacionalidad estacional. SEBAL. Landsat 8.

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