Computational Analysis of the U.S. Forest Fires

2017 ◽  
Vol 12 (4) ◽  
Author(s):  
António M. Lopes ◽  
J. A. Tenreiro Machado
Keyword(s):  
Dynamical Systems ◽  
Forest Fires ◽  
Computational Analysis ◽  
Space Time ◽  
Burn Severity ◽  
Computational Visualization ◽  
The U.S

This paper analyses forest fires (FF) in the U.S. during 1984–2013, based on data collected by the monitoring trends in burn severity (MTBS) project. The study adopts the tools of dynamical systems to tackle information about space, time, and size. Computational visualization methods are used for reducing the information dimensionality and to unveil the relationships embedded in the data.

Application of Fractional Techniques in the Analysis of Forest Fires

2016 ◽  
Vol 17 (7-8) ◽  
pp. 381-390 ◽  
Author(s):  
António M. Lopes ◽  
J.A. Tenreiro Machado
Keyword(s):  
United States ◽  
Fourier Transform ◽  
Fractal Dimension ◽  
Dynamical Systems ◽  
Forest Fires ◽  
Clustering Analysis ◽  
Fractional Fourier Transform ◽  
Public Domain ◽  
Burn Severity ◽  
Global Behavior

Abstract:In this paper we study the global behavior of forest fires (FFs) in the Continental United States for the period 1984–2013. The data are obtained from a public domain catalog maintained by the Monitoring Trends in Burn Severity project. First we adopt clustering analysis to reduce the information dimensionality. Then we adopt mathematical tools commonly used in the analysis of dynamical systems, namely fractal dimension, entropy and fractional Fourier transform. The fractional techniques unveil FF patterns embedded in the data.

scholarly journals Detecting Forest Fire Area using Landsat Images: A Case Study of Manang District, Nepal

2021 ◽  
Author(s):  
Pawan Thapa
Keyword(s):  
Forest Fires ◽  
Near Infrared ◽  
Human Life ◽  
Vegetation Indices ◽  
Google Earth ◽  
Burn Severity ◽  
Landsat 8 ◽  
Landsat Images ◽  
Severity Rating ◽  
Forest Regions

Abstract Background: Wildfires are on the rise for various reasons, including hunting, the growth of new plants, and the encroachment of forest regions, particularly in developing countries. As a result, it will lose its environment, property, wildlife, and human life. Methods: It generates a burn severity map that can estimate the extent of wildfire damage. The nine bands and vegetation indices are derived using Google Earth Engine (GEE) and the Quantum Geographic Information System (QGIS) platform from Landsat 8 satellite imagery. The Manang district employs wavelengths near-infrared (NIR) and shortwave-infrared (SWIR) to determine burnt patches and burn severity. Results: According to the evaluation, 26 percent of forest fires have moderate, low, high, and higher severity; however, 30 percent of unburned and low-severity fires receive a severity rating of 37 percent. Thus, it shows a considerable rise in wildfires in the Manang area. Conclusion: In general, it has been a novel technique for recognizing wildfire hotspots and mapping their intensity in higher elevations that takes fewer resources and time. Such necessary data assists vital stakeholders, communities, and decision-makers in making well-informed decisions.

A synthesis of post-fire Burned Area Reports from 1972 to 2009 for western US Forest Service lands: trends in wildfire characteristics and post-fire stabilisation treatments and expenditures

2014 ◽  
Vol 23 (7) ◽  
pp. 929 ◽  
Author(s):  
Peter R. Robichaud ◽  
Hakjun Rhee ◽  
Sarah A. Lewis
Keyword(s):  
Forest Fires ◽  
Timber Harvest ◽  
Burn Severity ◽  
Burned Area ◽  
Soil Productivity ◽  
Treatment Implementation ◽  
Western Us ◽  
Treatment Type ◽  
Rate Of Increase ◽  
Over Time

Over 1200 post-fire assessment and treatment implementation reports from four decades (1970s–2000s) of western US forest fires have been examined to identify decadal patterns in fire characteristics and the justifications and expenditures for the post-fire treatments. The main trends found were: (1) the area burned by wildfire increased over time and the rate of increase accelerated after 1990; (2) the proportions of burned area assessed as low, moderate and high burn severity likely have remained fairly constant over time, but the use of satellite imagery that began c. 2000 increased the resolution of burn severity assessments leading to an apparent decreased proportion of high burn severity during the 2000s; (3) treatment justifications reflected regional concerns (e.g. soil productivity in areas of timber harvest) and generally reflected increased human encroachment in the wildland–urban interface; (4) modifications to roads were the most frequently recommended post-fire treatment type; (5) seeding was the most frequently used land treatment, but declined in use over time; (6) use of post-fire agricultural straw mulch has steadily increased because of proven success; and (7) the greatest post-fire expenditures have been for land treatments applied over large areas to protect important resources (e.g. municipal water sources).

scholarly journals Everything as an Algorithm ~ Computational Analysis and Model for Space/Time Complexity

2021 ◽  
Author(s):  
Andrew Kamal
Keyword(s):  
Subject Matter ◽  
Time Complexity ◽  
Quantum Physics ◽  
Computational Analysis ◽  
Classical Mechanics ◽  
Space Time ◽  
Quantum Similarity ◽  
The Subject ◽  
Origin Point

Utilizing multiple theorems derived from and formulating the equation : Z = {∀Θ ∈ Z → ∃s ∈ P S ∧ ∃t ∈ T : Θ = (s, t)} and formulating the equation: X = O + Ĥ + (n(log)Φ Pd x ), as well as some mathematical constraints and numerous implications in Quantum Physics, Classical Mechanics, and Algorithmic Quantization, we come up with a framework for mathematically representing our universe. These series of individualized papers make up a huge part of a dissertation on the subject matter of Quantum Similarity. Everything including how we view time itself and the origin point for our universe is explained in theoretical details throughout these papers.

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