Methodologies to Validate Multiple Source Models: An Application to the 5thEuropean Campaign on Remote Sensing Techmiques (Ghent, Belgium, 1981)

1985 ◽  
pp. 651-670
Author(s):  
J. G. Kretzschmar ◽  
G. Cosemans ◽  
B. Vanderborght
Keyword(s):  
Remote Sensing ◽  
Multiple Source ◽  
Source Models

scholarly journals Shaking Scenarios from Multiple Source Models Shed Light on the 8 September 1905Mw 7 Calabria Earthquake (Southern Italy)

2015 ◽  
Vol 105 (2A) ◽  
pp. 912-927 ◽  
Author(s):  
Denis Sandron ◽  
Maria Filomena Loreto ◽  
Umberto Fracassi ◽  
Lara Tiberi
Keyword(s):  
Southern Italy ◽  
Multiple Source ◽  
Source Models ◽  
Shed Light

A Scaling Method for Multiple Source Models (SMSM)

2000 ◽  
pp. 411-413 ◽  
Author(s):  
C. Cris ◽  
E. Born ◽  
D. Frey ◽  
R. Mini ◽  
H. Neuenschwander ◽  
...  
Keyword(s):  
Multiple Source ◽  
Scaling Method ◽  
Source Models

scholarly journals Evapotranspiration of sorghum from the energy balance by METRIC and STSEB

2020 ◽  
Vol 24 (1) ◽  
pp. 24-30
Author(s):  
João G. A. Lima ◽  
Juan M. Sánchez ◽  
José G. Piqueras ◽  
José Espínola Sobrinho ◽  
Paula C. Viana ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Surface Energy Balance ◽  
Irrigation Management ◽  
The Other ◽  
Accurate Estimation ◽  
Actual Surface ◽  
Arid Conditions ◽  
Source Models ◽  
Semi Arid

ABSTRACT The estimate of the actual surface evapotranspiration (ET) contributes to quantifying the water needs of crops. An alternative to the use of lysimeter for an accurate estimation of water needs, which has proved to be of great value in recent years, is the use of remote sensing combined with models based on surface energy balance. There is wide variety of models that can be classified into two types: one-source models, such as the Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) algorithm, or two-source models, such as the Simplified Two-Source Energy Balance (STSEB). The objective of this study was to analyze how METRIC and STSEB can be used to estimate ET, in comparison with the lysimeter data, for the different stages of development of the sorghum crop in Apodi, RN, Brazil. The accuracy of both models in the daily ET estimation for the semi-arid conditions of the experiment, with RMSE values of 0.8 and of 0.7 mm d-1 through METRIC and STSEB, respectively, is considered acceptable for irrigation management purposes. The errors obtained with METRIC at an instantaneous scale were 60, 50, 130 and 5 W m-2 for Rn, LE, H and G, respectively, on the other hand, using STSEB these errors were of 40, 70, 120 and 21 W m-2 for Rn, LE, H and G, respectively. The METRIC and STSEB models are very similar when it comes to providing information on water needs of the sorghum.

Monitoring Spatio-temporal Variance of an Extreme Heat Event Using Multiple-source Remote Sensing Data

2018 ◽  
Vol 28 (5) ◽  
pp. 744-757 ◽  
Author(s):  
Shanyou Zhu ◽  
Yi Liu ◽  
Junwei Hua ◽  
Guixin Zhang ◽  
Yang Zhou ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Extreme Heat ◽  
Multiple Source ◽  
Sensing Data ◽  
Extreme Heat Event ◽  
Temporal Variance ◽  
Heat Event ◽  
Spatio Temporal
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