scholarly journals ESTIMATIVA DA EVAPOTRANSPIRAÇÃO EM SISTEMAS INTEGRADOS NO CERRADO, UTILIZANDO O ALGORITMO SAFER

Irriga ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 617-628
Author(s):  
Leonnardo Cruvinel Furquim ◽  
Daniel Noe Coaguila Nuñez ◽  
Epitácio José de Souza ◽  
José Mateus Kondo Santini ◽  
Juliana Silva Rodrigues Cabral ◽  
...  
Keyword(s):  
Satellite Images ◽  
Riparian Forests ◽  
Integrated Systems ◽  
Wet Season ◽  
Water Flows ◽  
Combined Use ◽  
Water Courses ◽  
Degraded Pasture ◽  
Weather Stations ◽  
Sentinel 2

ESTIMATIVA DA EVAPOTRANSPIRAÇÃO EM SISTEMAS INTEGRADOS NO CERRADO, UTILIZANDO O ALGORITMO SAFER   LEONNARDO CRUVINEL FURQUIM1; DANIEL NOE COAGUILA NUÑEZ2; EPITÁCIO JOSÉ DE SOUZA3; JOSÉ MATEUS KONDO SANTINI4; JULIANA SILVA RODRIGUES CABRAL5 E LUÍS FERNANDO STONE6   1 Universidade Federal de Goiás, Av. Esperança, s/n - Chácaras de Recreio Samambaia, CEP: 74690-900, Goiânia, Goiás, Brasil, [email protected] 2 Faculdade Unibras, departamento de agronomia, Faculdade Unibras, Rua Doze de Outubro, 42, Jardim Adriana, CEP: 75906-577, Rio Verde, Goiás, Brasil, [email protected] 3 Faculdade Unibras, departamento de agronomia, Faculdade Unibras, Rua Doze de Outubro, 42, Jardim Adriana, CEP: 75906-577, Rio Verde, Goiás, Brasil, [email protected] 4 Faculdade Unibras, departamento de agronomia, Faculdade Unibras, Rua Doze de Outubro, 42, Jardim Adriana, CEP: 75906-577, Rio Verde, Goiás, Brasil, [email protected] 5 Faculdade Unibras, departamento de agronomia, Faculdade Unibras, Rua Doze de Outubro, 42, Jardim Adriana, CEP: 75906-577, Rio Verde, Goiás, Brasil, [email protected] 6 Embrapa Arroz e Feijão, km 12 - Zona Rural GO-462, CEP: 75375-000, Santo Antônio de Goiás, Goiás, Brasil, [email protected]     1 RESUMO   O Cerrado apresenta-se frequentemente degradado, com cursos de água assoreados, nascentes desprotegidas e ausência de matas ciliares, evidenciando a incapacidade de gerar e armazenar água para atender a demanda agrícola e populacional. Sendo assim, torna-se importante avaliar os fluxos hídricos acima do solo nos novos sistemas integrados instalados na região, com o uso combinado de imagens de satélite Sentinel-2 no período de 2017-2019 e informações provenientes de estações meteorológicas. Para tanto, utilizou-se o modelo SAFER para estimativa da evapotranspiração atual, resultando em média de 1,15 mm dia-1, com valor máximo e mínimo de 3,69 e 0,00 mm dia-1, respectivamente. No tratamento integração pecuária-floresta observou-se a maior média de ETa (1,33 mm dia-1) e, no tratamento pastagem degradada, a menor média de ETa (0,96 mm dia-1). Porém, o tratamento pastagem degradada teve a menor variabilidade (0,96 ± 0,78 mm dia-1) e o tratamento integração lavoura pecuária-floresta para silagem apresentou a maior variabilidade (1,26 ± 1,40 mm dia-1). Os sistemas integrados se adequaram à sazonalidade da região, sofrendo estresse hídrico na época seca e com heterogeneidade espaço-temporal na época úmida.   Palavras-chave: integração pecuária-floresta, modelagem, sensoriamento remoto, sentinel-2.     FURQUIM, L. C.; COAGUILA-NUÑEZ, D. N.; SOUZA, E. J. de; SANTINI, J. M. K.; CABRAL, J. S. R.; STONE, L. F. ESTIMATION OF EVAPOTRANSPIRATION IN INTEGRATED SYSTEMS IN CERRADO USING SAFER ALGORITHM       2 ABSTRACT   Cerrado is often degraded, with silted water courses, absence of riparian forests and unprotected springs, leading to the inability to generate and store water to meet current demand. Therefore, it is important to assess the water flows above ground in the new integrated systems installed in the region, with the combined use of Sentinel-2 satellite images in the period 2017-2019 and information from weather stations. Therefore, the SAFER model was used to estimate the current evapotranspiration, resulting in an average of 1.15 mm day-1, with a maximum and minimum value of 3.69 and 0.00 mm day-1, respectively. In the livestock-forest integration treatment, the highest mean ETa was observed (1.33 mm day-1) and, in the degraded pasture treatment, the lowest mean ETa (0.96 mm day-1) was observed. However, the degraded pasture treatment had the lowest variability (0.96 ± 0.78 mm day-1) and the crop-livestock-forest integration treatment for silage showed the highest variability (1.26 ± 1.40 mm day-1). The integrated systems were adapted to the region's seasonality, suffering water stress in the dry season and with space-time heterogeneity in the wet season.   Keywords: livestock-forest integration, modeling, remote sensing, sentinel-2.

Monitoring Acid Mine Drainage’s Effects on Surface Water in the Kizel Coal Basin with Sentinel-2 Satellite Images

2021 ◽  
Author(s):  
Sergey V. Pyankov ◽  
Nikolay G. Maximovich ◽  
Elena A. Khayrulina ◽  
Olga A. Berezina ◽  
Andrey N. Shikhov ◽  
...  
Keyword(s):  
Surface Water ◽  
Satellite Images ◽  
Coal Basin ◽  
Acid Mine ◽  
Sentinel 2

scholarly journals Application of Satellite Sentinel-2 Images to Study Alternate Sandbars Movement at Lower Vistula River (Poland)

2021 ◽  
Vol 13 (8) ◽  
pp. 1505
Author(s):  
Klaudia Kryniecka ◽  
Artur Magnuszewski
Keyword(s):  
Satellite Images ◽  
Average Distance ◽  
Low Flow ◽  
Visual Interpretation ◽  
Time Intervals ◽  
Manual Delineation ◽  
Vistula River ◽  
Interclass Correlation ◽  
Optical Satellite Images ◽  
Sentinel 2

The lower Vistula River was regulated in the years 1856–1878, at a distance of 718–939 km. The regulation plan did not take into consideration the large transport of the bed load. The channel was shaped using simplified geometry—too wide for the low flow and overly straight for the stabilization of the sandbar movement. The hydraulic parameters of the lower Vistula River show high velocities of flow and high shear stress. The movement of the alternate sandbars can be traced on the optical satellite images of Sentinel-2. In this study, a method of sandbar detection through the remote sensing indices, Sentinel Water Mask (SWM) and Automated Water Extraction Index no shadow (AWEInsh), and the manual delineation with visual interpretation (MD) was used on satellite images of the lower Vistula River, recorded at the time of low flows (20 August 2015, 4 September 2016, 30 July 2017, 20 September 2018, and 29 August 2019). The comparison of 32 alternate sandbar areas obtained by SWM, AWEInsh, and MD manual delineation methods on the Sentinel-2 images, recorded on 20 August 2015, was performed by the statistical analysis of the interclass correlation coefficient (ICC). The distance of the shift in the analyzed time intervals between the image registration dates depends on the value of the mean discharge (MQ). The period from 30 July 2017 to 20 September 2018 was wet (MQ = 1140 m3 × s−1) and created conditions for the largest average distance of the alternate sandbar shift, from 509 to 548 m. The velocity of movement, calculated as an average shift for one day, was between 1.2 and 1.3 m × day−1. The smallest shift of alternate sandbars was characteristic of the low flow period from 20 August 2015 to 4 September 2016 (MQ = 306 m3 × s−1), from 279 to 310 m, with an average velocity from 0.7 to 0.8 m × day−1.

scholarly journals STUDY OF THE RELIEF AND COASTLINE DYNAMICS OF LARGE COASTAL ACCUMULATIVE FORMS ACCORDING TO REMOTE SENSING DATA

2021 ◽  
Vol 26 (3) ◽  
pp. 58-70
Author(s):  
Viacheslav V. Krylenko ◽  
◽  
Marina V. Krylenko ◽  
Alexander A. Aleynikov ◽  
◽  
...  
Keyword(s):  
Aerial Photography ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
New Methods ◽  
New Information ◽  
Relief Structure ◽  
Shoreline Dynamics ◽  
New Research ◽  
Modern Technologies ◽  
Sentinel 2

The study of the relief of large coastal accumulative forms, based on modern technologies, is rele-vant for solving many applied problems. Coastal and underwater bars, shoals, banks are characteristic elements of large coastal accumulative forms’ geosystems. Previously existing methods of relief re-searches, especially underwater, were labor-intensive and expensive. Accordingly, the development and implementation of new methods of geographical research are necessary. The Dolgaya Spit, includ-ing its underwater shoal and the Elenin Bank, is one of the largest accumulative forms of the Sea of Azov. The purpose of our work was to obtain new information on the relief structure and the shoreline dynamics of the Dolgaya Spit based on the use of new research methods. Digital models of surface and underwater relief were built on the basis of processing Sentinel-2 satellite images and data from unmanned aerial photography. The subsequent analysis allowed identify regularities that reflect the current and previous hydro-lithodynamic conditions that determined the transformation of the Dolgaya Spit during its evolution. The fulfilled studies confirmed the possibility of successful use of modern remote methods for studying the relief of coastal accumulative forms.

scholarly journals A GENERATIVE ADVERSARIAL NETWORK APPROACH FOR SUPER-RESOLUTION OF SENTINEL-2 SATELLITE IMAGES

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 9-14
Author(s):  
F. Pineda ◽  
V. Ayma ◽  
C. Beltran
Keyword(s):  
High Resolution ◽  
Satellite Images ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Structural Similarity ◽  
Generative Adversarial Network ◽  
Acceptable Result ◽  
Adversarial Network ◽  
High Resolution Satellite Images ◽  
Sentinel 2

Abstract. High-resolution satellite images have always been in high demand due to the greater detail and precision they offer, as well as the wide scope of the fields in which they could be applied; however, satellites in operation offering very high-resolution (VHR) images has experienced an important increase, but they remain as a smaller proportion against existing lower resolution (HR) satellites. Recent models of convolutional neural networks (CNN) are very suitable for applications with image processing, like resolution enhancement of images; but in order to obtain an acceptable result, it is important, not only to define the kind of CNN architecture but the reference set of images to train the model. Our work proposes an alternative to improve the spatial resolution of HR images obtained by Sentinel-2 satellite by using the VHR images from PeruSat1, a peruvian satellite, which serve as the reference for the super-resolution approach implementation based on a Generative Adversarial Network (GAN) model, as an alternative for obtaining VHR images. The VHR PeruSat-1 image dataset is used for the training process of the network. The results obtained were analyzed considering the Peak Signal to Noise Ratios (PSNR) and the Structural Similarity (SSIM). Finally, some visual outcomes, over a given testing dataset, are presented so the performance of the model could be analyzed as well.

Monitoring water transparency of a hypertrophic lake (the Albufera of València) using multitemporal Sentinel-2 satellite images

Limnetica ◽  
2020 ◽  
Vol 39 (1) ◽  
pp. 373-386
Author(s):  
Xavier Sòria-Perpinyà ◽  
Marcela Pereira-Sandoval ◽  
Antonio Ruiz-Verdú ◽  
Juan M. Soria ◽  
Jesús Delegido ◽  
...  
Keyword(s):  
Satellite Images ◽  
Water Transparency ◽  
Hypertrophic Lake ◽  
Sentinel 2
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