Solar Radiation Estimates Derived from Satellite Images and Auxiliary Measurements

2019 ◽  
pp. 319-328
Author(s):  
Frank Vignola ◽  
Joseph Michalsky ◽  
Thomas Stoffel
Keyword(s):  
Solar Radiation ◽  
Satellite Images

The solar radiation evaluation by satellite images processing

2010 ◽  
Vol 1 (08) ◽  
pp. 344-347 ◽  
Author(s):  
M. Boulifa ◽  
A. Adane ◽  
A. Mefti ◽  
S. Ameur ◽  
Z. Ameur
Keyword(s):  
Solar Radiation ◽  
Satellite Images ◽  
Images Processing

scholarly journals A Combination of Heliosat-1 and Heliosat-2 Methods for Deriving Solar Radiation from Satellite Images

2014 ◽  
Vol 57 ◽  
pp. 1037-1043 ◽  
Author(s):  
Iñigo Pagola ◽  
Martín Gastón ◽  
Ana Bernardos ◽  
Carlos Fernández-Peruchena
Keyword(s):  
Solar Radiation ◽  
Satellite Images

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

Solar radiation estimations over India using Meteosat satellite images

Solar Energy ◽  
2011 ◽  
Vol 85 (9) ◽  
pp. 2395-2406 ◽  
Author(s):  
J. Polo ◽  
L.F. Zarzalejo ◽  
M. Cony ◽  
A.A. Navarro ◽  
R. Marchante ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Satellite Images
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