Test of a Benthic Macroinvertebrate Habitat-Flow Time Series Model Incorporating Disturbance and Recovery Processes

2014 ◽  
Vol 31 (7) ◽  
pp. 785-797 ◽  
Author(s):  
J. W. Hayes ◽  
K. A. Shearer ◽  
E. O. Goodwin ◽  
J. Hay ◽  
C. Allen ◽  
...  
Keyword(s):  
Time Series ◽  
Flow Time ◽  
Time Series Model ◽  
Benthic Macroinvertebrate ◽  
Recovery Processes ◽  
Disturbance And Recovery

scholarly journals Burn severity and regeneration in large forest fires: an analysis from Landsat time series

2017 ◽  
pp. 17 ◽  
Author(s):  
S. Martínez ◽  
E. Chuvieco ◽  
I. Aguado ◽  
J. Salas
Keyword(s):  
Time Series ◽  
Forest Fires ◽  
Sustainable Forest Management ◽  
The Other ◽  
Burn Severity ◽  
Effective Strategies ◽  
Recovery Processes ◽  
Fire Condition ◽  
Spectral Profiles ◽  
Disturbance And Recovery

<p>The main objective of this study is to take a close look at post-fire recovery patterns in forestry areas under different burn severity conditions. We also investigate the time that forestry ecosystems take to recover their pre-fire condition. In this context, this study analyses both the level of severity in Uncastillo forest wildfire (7.664ha), one of the greatest occurred in Spain in 1994, and the pattern of natural recovery in the following decades (until 2014) using annual Landsat time series (sensors TM&amp;ETM+). Burn severity has been estimated by means of PROSPECT and GeoSAIL radiative transfer models following methodologies described in De Santis and Chuvieco (2009). On the other hand, recovery processes have been assessed from spectral profiles using the LandTrendr model (Landsat-based Detection of Trends in Disturbance and Recovery) (Kennedy et al., 2010). Results contribute to a further understanding of the post-fire evolution in forestry areas and to develop effective strategies for sustainable forest management.</p>

About One Approach to Defuzzifikation of Outputs of Fuzzy Time Series Model

2011 ◽  
Vol 3 (9) ◽  
pp. 562-566
Author(s):  
Ramin Rzayev ◽  
◽  
Musa Agamaliyev ◽  
Nijat Askerov
Keyword(s):  
Time Series ◽  
Time Series Model ◽  
Fuzzy Time Series

Time Series Model of Wind Power Forecasting Error by using Beta Distribution for Optimal Sizing of Battery Storage

2019 ◽  
Vol 139 (3) ◽  
pp. 212-224
Author(s):  
Xiaowei Dui ◽  
Masakazu Ito ◽  
Yu Fujimoto ◽  
Yasuhiro Hayashi ◽  
Guiping Zhu ◽  
...  
Keyword(s):  
Time Series ◽  
Wind Power ◽  
Beta Distribution ◽  
Time Series Model ◽  
Battery Storage ◽  
Wind Power Forecasting ◽  
Optimal Sizing ◽  
Forecasting Error ◽  
Power Forecasting
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