Surface energy balance estimates in the Po river plain using Landsat TM, NOAA AVHRR and meteorological data

2002 ◽  
Author(s):  
G.P. Pennati ◽  
P.A. Brivio ◽  
G. Ober
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Meteorological Data ◽  
Landsat Tm ◽  
Po River ◽  
Noaa Avhrr ◽  
River Plain ◽  
Po River Plain

scholarly journals Using climate reanalysis data in conjunction with multi-temporal satellite thermal imagery to derive supraglacial debris thickness changes from energy-balance modelling

2021 ◽  
pp. 1-19
Author(s):  
Rebecca L. Stewart ◽  
Matthew Westoby ◽  
Francesca Pellicciotti ◽  
Ann Rowan ◽  
Darrel Swift ◽  
...  
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Current Knowledge ◽  
Meteorological Data ◽  
Reanalysis Data ◽  
Balance Model ◽  
Thermal Imagery ◽  
Thickness Estimation ◽  
Miage Glacier

Abstract Surface energy-balance models are commonly used in conjunction with satellite thermal imagery to estimate supraglacial debris thickness. Removing the need for local meteorological data in the debris thickness estimation workflow could improve the versatility and spatiotemporal application of debris thickness estimation. We evaluate the use of regional reanalysis data to derive debris thickness for two mountain glaciers using a surface energy-balance model. Results forced using ERA-5 agree with AWS-derived estimates to within 0.01 ± 0.05 m for Miage Glacier, Italy, and 0.01 ± 0.02 m for Khumbu Glacier, Nepal. ERA-5 data were then used to estimate spatiotemporal changes in debris thickness over a ~20-year period for Miage Glacier, Khumbu Glacier and Haut Glacier d'Arolla, Switzerland. We observe significant increases in debris thickness at the terminus for Haut Glacier d'Arolla and at the margins of the expanding debris cover at all glaciers. While simulated debris thickness was underestimated compared to point measurements in areas of thick debris, our approach can reconstruct glacier-scale debris thickness distribution and its temporal evolution over multiple decades. We find significant changes in debris thickness over areas of thin debris, areas susceptible to high ablation rates, where current knowledge of debris evolution is limited.

scholarly journals Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 9 ◽  
Author(s):  
Dakang Wang ◽  
Yulin Zhan ◽  
Tao Yu ◽  
Yan Liu ◽  
Xiaomei Jin ◽  
...  
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Interpolation Method ◽  
Meteorological Data ◽  
Meteorological Station ◽  
Weather Research And Forecasting ◽  
Balance System ◽  
Meteorological Input ◽  
Sebs Model

Using Surface Energy Balance System (SEBS) to estimate actual evapotranspiration (ET) on a regional scale generally uses gridded meteorological data by interpolating data from meteorological stations with mathematical interpolation. The heterogeneity of underlying surfaces cannot be effectively considered when interpolating meteorological station measurements to gridded data only by mathematical interpolation. This study aims to highlight the improvement of modeled meteorological data from the Weather Research and Forecasting (WRF) mesoscale numerical model which fully considers the heterogeneity of underlying surfaces over the data from mathematical interpolation method when providing accurate meteorological input for SEBS model. Meteorological data at 1 km resolution in the Hotan Oasis were simulated and then were put into SEBS model to estimate the daily actual ET. The accuracy of WRF simulation was evaluated through comparison with data collected at the meteorological station. Results found that the WRF-simulated wind speed, air temperature, relative humidity and surface pressure correlate well with the meteorological stations measurements (R2 are 0.628, 0.8242, 0.8089 and 0.8915, respectively). Comparison between ET calculated using the meteorological data simulated from the WRF (ETa-WRF) and meteorological data interpolated from measurements at met stations (ETa-STA) showed that ETa-WRF could better reflect the ET difference between different land cover, and capture the vegetation growing trend, especially in areas with sparse vegetation, where ETa-STA intends to overestimate. In addition, ETa-WRF has less noise in barren areas compared to ETa-STA. Our findings suggest that WRF can provide more reliable meteorological input for SEBS model than mathematical interpolation method.

scholarly journals The recent retreat of Mexican glaciers on Citlaltépetl Volcano detected using ASTER data

2012 ◽  
Vol 6 (4) ◽  
pp. 3149-3176 ◽  
Author(s):  
J. Cortés-Ramos ◽  
H. Delgado-Granados
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Satellite Imagery ◽  
Surface Energy Balance ◽  
Meteorological Data ◽  
Radiation Balance ◽  
Net Radiation ◽  
Glacial Retreat ◽  
Radiation Data ◽  
Close Relationship

Abstract. Satellite imagery and net radiation data collected between 2001 and 2007 for Citlaltépetl Volcano confirm the dramatic shrinkage of Glaciar Norte and the elimination of Jamapa and Chichimeco glacier tongues. The Glaciar Norte rapidly retreated between 2001 and 2002 while for 2007 this retreat decreases considerably. Jamapa and Chichimeco tongues disappeared by 2001 as compared to the geometry shown for 1958. The Glaciar Norte lost about 72% of its surface area between 1958 and 2007. Recently, the ice loss appears to be accelerating as evidenced by the 33% areal loss in just 6 yr between 2001 and 2007. At this shrinkage rate the glaciers would be gone from the volcano by the year 2020, which is decades earlier than previously estimated. The net radiation from ASTER images and the energy fluxes calculated via the meteorological data at the glacial surface show the close relationship between glacial shrinkage and surface energy balance. The magnitude of changes in the net radiation balance allows improved understanding of glacial retreat in Mexico.

scholarly journals Estimativa do Albedo Comparando Metodologias de Correção Atmosférica em Áreas de Cana-de-Açúcar e Cerrado na Bacia do Rio Mogi Guaçú-SP (Estimation of albedo comparing methodologies of atmospheric correction in areas of sugarcane and cerrado in the ...)

2016 ◽  
Vol 9 (6) ◽  
pp. 1943
Author(s):  
Maurílio Neemias Santos ◽  
Laurizio Emanuel Ribeiro Alves ◽  
Ismael Guidson Farias De Freitas ◽  
Eridiany Ferreira Da Silva ◽  
Heliofabio Barros Gomes
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Surface Energy ◽  
Surface Energy Balance ◽  
Meteorological Data ◽  
Plant Cover ◽  
Atmospheric Correction ◽  
Sao Paulo ◽  
The State ◽  
São Paulo

O uso de técnicas de sensoriamento remoto nos últimos anos tem se tornado cada vez mais constante nas pesquisas sobre a cobertura vegetal, direcionando as mais variadas aplicações, principalmente quando se deseja analisar e identificar padrões de alteração no local estudado de forma clara e objetiva, visando assim obter maior conhecimento em áreas de difícil acesso. A eficiência na obtenção de dados gera resultados confiáveis principalmente com relação a dados meteorológicos com um baixo custo. O presente trabalho teve como objetivo a obtenção do albedo da superfície com base em imagens do TM Landsat5 e alguns dados meteorológicos obtidos através de estações micrometeorológicas em situ. A área de estudo está localizada no estado de São Paulo, na região da bacia do rio Mogi-Guaçu, município de Santa Rita do Passa Quatro, no estado de São Paulo (21°37’09”S; 47°37’56”W; 710 m). Foram utilizadas oito imagens TM - Landsat5 do ano de 2005 para os dias 22/02, 11/04, 29/05, 14/06, 16/07, 01/08, 17/08, 21/11. Foram empregados os procedimentos do Surface Energy Balance Algorithm for Land (SEBAL) proposto por Bastiaanssen (1995) aprimorados por Allen et al. (2007a) e Tasumi (2006) para obtenção do albedo superficial.    A B S T R A C T The use of remote sensing techniques in recent years has become increasingly constant in research on plant cover, directing the most varied applications, especially when it is desired to analyze and identify patterns of change in the studied area in a clear and objective way, aiming to Knowledge in areas of difficult access. The efficiency in obtaining data generates reliable results mainly in relation to meteorological data with a low cost. The present study had as objective to analyze the albedo of the surface based on images of TM Landsat5 and some meteorological data obtained through micrometeorological stations in situ. The study area is located in the state of São Paulo, in the region of the Mogi-Guaçu river basin, municipality of Santa Rita do Passa Quatro, in the state of São Paulo (21°37’09”S; 47°37’56”W; 710 m). Eight TM - Landsat5 images from the year 2005 were used for the days 22/02, 11/04, 29/05, 14/06, 16/07, 01/08, 17/08, 21/11. The procedures of Surface Energy Balance Algorithm for Land (SEBAL) and superficial albedo of different authors were used. Estimates of the atmospheric correction showed that the albedo of the cerrado presents values inferior to the one found on sugarcane and other areas of the basin, except for water bodies. The different methods discussed in this study showed that the Idaho method presented the best results in the estimation when compared to pyranometric measurements presenting Relative Error lower than the methods presented here.   Keywords: Remote sensing, albedo, Landsat 5. 

scholarly journals Remote Sensing Based Estimation of Evapo-Transpiration Using Selected Algorithms: The Case of Wonji Shoa Sugar Cane Estate, Ethiopia

2016 ◽  
Author(s):  
Mulugeta Genanu ◽  
Tena Alamirew ◽  
Gabriel Senay ◽  
Mekonnen Gebremichael
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Surface Energy ◽  
Large Scale ◽  
Surface Energy Balance ◽  
Meteorological Data ◽  
Wet Season ◽  
Spatially Distributed ◽  
Spatio Temporal ◽  
Water Surplus

Remote sensing datasets are increasingly being used to provide spatially explicit large scale evapotranspiration (ET) estimates. The focus of this study was to estimate and thematically map pixel-by-pixel basis, and compare the actual evapotranspiration (ETa) of the Wonji Shoa Sugarcane Estate using Surface Energy Balance Algorithm for Land (SEBAL), Simplified Surface Energy Balance (SSEB) and Operational Simplified Surface Energy Balance (SSEBop) algorithms on Landsat7 ETM+ images acquired on four days in 2002. The algorithms were based on image processing which uses spatially distributed spectral satellite data and ground meteorological data to derive the surface energy balance components. The results obtained revealed that the ranges of the daily ETa estimated on January 25, February 26, September 06 and October 08, 2002 using SEBAL were 0.0–6.85, 0.0–9.36, 0.0–3.61, 0.0–6.83 mm/day; using SSEB 0.0–6.78, 0.0–7.81, 0.0–3.65, 0.0–6.46 mm/day, and SSEBop were 0.05–8.25, 0.0–8.82, 0.2–4.0, 0.0–7.40 mm/day, respectively. The Root Mean Square Error (RMSE) values between SSEB and SEBAL, SSEBop and SEBAL, and SSEB and SSEBop were 0.548, 0.548, and 0.99 for January 25, 2002; 0.739, 0.753, and 0.994 for February 26, 2002;0.847, 0.846, and 0.999 for September 06, 2002; 0.573, 0.573, and 1.00 for October 08, 2002, respectively. The standard deviation of ETa over the sugarcane estate showed high spatio-temporal variability perhaps due to soil moisture variability and surface cover. The three algorithm results showed that well watered sugarcane fields in the mid-season growing stage of the crop and water storage areas had higher ETa values compared with the other dry agricultural fields confirming that they consumptively use more water. Generally during the dry season ETa is limited to water surplus areas only and in wet season, ETa was high throughout the entire sugarcane estate. The evaporation fraction (ETrF) results also followed the same pattern as the daily ETa over the sugarcane estate. The total crop and irrigation water requirement and effective rainfall estimated using the Cropwat model were 2468.8, 2061.6 and 423.8 mm/yr for January 2001 planted and 2281.9, 1851.0 and 437.8 mm/yr for March 2001 planted sugarcanes, respectively. The mean annual ETa estimated for the whole estate were 107 Mm3, 140 Mm3, and 178 Mm3 using SEBAL, SSEB, and SSEBop, respectively. Even though the algorithms should be validated through field observation, they have potential to be used for effective estimation of ET in the sugarcane estate.

Estimation and Analysis of Regional Evapotranspiration in the eastern province of China with Remote Sensing data

2020 ◽  
Author(s):  
Wenyu Wu
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Surface Energy ◽  
Land Surface ◽  
Surface Energy Balance ◽  
Meteorological Data ◽  
Computation Method ◽  
Model Parameters ◽  
Sebal Model ◽  
Regional Evapotranspiration

<p>Evapotranspiration(ET) is a critical component of the land surface energy balance system and hydrologic processes. Analysis of spatiotemporal variations and influencing factors of ET is of great importance to evaluate the growing environment for crops and to effectively use water resources, a critical base for production in research region. The traditional methods are based on point measurement, while the remote sensing provides extensive surface information. The development of remote sensing has promoted the study of regional ET.SEBAL model is based on Surface Energy Balance Algorithm for Land and its physical meaning is clear. This model was developed to show the spatial variability of surface evapotranspiration. SEBAL model was capable of being applied to large regional areas in conjunction with Moderate-resolution Imaging Spectroradiometer (MODIS) data products.According to the shortcomings of the traditional method of calculating ET, based on SEBAL model, the daily regional evapotranspiration of Anhui Province was estimated with 1km spatial resolution by using MODIS products and a few of meteorological data(temperature, wind speed) collected in meteorological stations distributed over the study area.Because of lacking observed data from the lysimeter, the results of P-M were compared with the estimation results based on SEBAL model in this research.The comparison of the evapotranspiration estimated with MODIS products and field observation showed that the former results were lower than the latter results on the whole, and demonstrated that there existed certain trend in correlation between the two results, the average relative error was different at different land surface.The ET computation method based on Remote Sensing proves that this model has strong practicality in Anhui, and it will show great potential in this field with more optimizing the model parameters.</p>

Sign in / Sign up

Export Citation Format

Share Document