scholarly journals Nonlinear approximation of wildfire front temperature on MODIS data for sub-pixel analysis of burning

2021 ◽  
Author(s):  
K.Yu. Litvintsev ◽  
E.I. Ponomarev ◽  
E.G. Shvetsov
Keyword(s):  
Nonlinear Approximation ◽  
Approximation Accuracy ◽  
Thermal Anomalies ◽  
Active Pixel ◽  
Temperature Excess ◽  
Modis Image ◽  
Modis Imagery ◽  
Pixel Analysis ◽  
Spectral Ranges ◽  
Front Temperature

An improved approach to evaluate thermal anomalies characteristics using the pixel-based analysis of the MODIS imagery was proposed. The approach allows us to improve the accuracy in estimating characteristics of active combustion zones comparing to the standard Dozier method. We used the imagery of active wildfires in Siberian forests from the MODIS radiometer acquired in the spectral ranges of 3.930–3.990 and 10.780–11.280 mm (bands 21 and 31, respectively). Nonlinear exponential function was used to describe the approximation of the temperature of combustion zones. Available data of field and numerical experiments were used for validating of the approximation accuracy. Nonlinear approximation of wildfire front temperature allows to determine the portion of the active pixel of the MODIS image with the given temperature excess comparing to the temperature of background cover. This improves the accuracy in extracting of active burning zones as well as in classifying the heat release rate at the sub-pixel level of analysis.

scholarly journals Image Spectrometry and Copernicus data for Heritage Mapping in the Jarama Valley, Spain

2019 ◽  
Vol 2 ◽  
pp. 1-5
Author(s):  
Juan Gregorio Rejas Ayuga ◽  
Francisco Javier González Matesanz ◽  
Pilar Sánchez-Ortiz
Keyword(s):  
Remote Sensing ◽  
Spanish Civil War ◽  
Spectral Characteristics ◽  
Biophysical Parameters ◽  
Military Installations ◽  
Thermal Anomalies ◽  
Digital Heritage ◽  
First Results ◽  
Remote Sensing Techniques ◽  
Spectral Ranges

<p><strong>Abstract.</strong> For millions of years, the Jarama Valley, located in the middle of Spain, has fluctuated physically and geomorphological, supposing over the centuries a crucial settlement for wildlife and different human cultures as an efficient route through South Europa. Currently, this scenario, which consist of a vast and intricate network of military installations due to the Battle of Jarama in the Spanish Civil War, mixed with incredible paleontological sites, Celtiberian cities and roman, are part of a great-protected natural and cultural classified as the Southeast Regional Park close to Madrid City.</p><p>The aim of this work is developing a geospatial methodology for the digital heritage mapping in the Jarama Valley using geomatics’ technologies in situ, drones' data, image spectrometry and the Copernicus European program, both their active and passive sensors. Data from Sentinel 1, Sentinel 2 and airborne sensors have analysed according to remote sensing techniques to recognize the potential remains and to reconstruct the heritage landscapes of three test areas in the Jarama Valley. We have investigated the spectral characteristics of main biophysical parameters in the pattern recognition of man-made materials in several remote sensing scenes of the Jarama Valley. Spectral ranges from drones' data are used to validate data cubes from multisperspectral sensor ATM. Sentinel 1 polarimetric products and thermal anomalies have calculated in order to contrast evidences of buried remains and confirm land change detection over the last decades. First results and their consequences on the digital heritage mapping of the Jarama Valley are discussed, representing a first point of protection and an advance of a full cultural and natural heritage research project in this region.</p>

Nonlinear System Identification Using Laguerre Wavelet Models

2008 ◽  
Vol 3 (2) ◽  
Author(s):  
P. Aadaleesan ◽  
Prabirkumar Saha
Keyword(s):  
Nonlinear Approximation ◽  
Nonlinear System Identification ◽  
Type Model ◽  
Approximation Accuracy ◽  
Continuous Bioreactor ◽  
Wiener Type ◽  
Dynamic Components ◽  
Arbitrary Precision ◽  
Nonlinear Components ◽  
Square Integrable Function

A compact and efficient model that is capable of approximating both the linear and nonlinear components of the process is in high demand. In this paper, a novel black-box modeling technique viz. Wiener type Laguerre-Wavelet model is proposed. The Laguerre-Wavelet model has the capability to approximate a function with moderate/reasonable number of data with appreciable approximation accuracy. The Laguerre filter is used to approximate the linear dynamic components of the process, whereas wavelet structure is used for the static nonlinear components. The ability of wavelets to approximate any square-integrable function to any arbitrary precision by input-output mappings is utilised for the nonlinear approximation following a modified single scaling method. The performance efficiency of the proposed Wiener type model structure, Laguerre-Wavelet model, is demonstrated using simulation case study on a continuous bioreactor.

Interstellar and intergalactic gas in the far IR and submillimeter spectral ranges

2017 ◽  
Vol 187 (10) ◽  
pp. 1033-1070
Author(s):  
Yuri A. Shchekinov ◽  
Vladimir N. Lukash ◽  
Elena V. Mikheeva ◽  
Sergei V. Pilipenko
Keyword(s):  
Intergalactic Gas ◽  
Spectral Ranges

COOKING WITH SALT: THERMAL ANOMALIES ASSOCIATED WITH SALT DIAPIRS, AND THEIR EFFECTS ON THE MATURATION OF SURROUNDING HYDROCARBONS

2018 ◽  
Author(s):  
Brenna Ayn Halverson ◽  
◽  
Stuart M. Kenderes ◽  
Jesse Merriman ◽  
Alan Whittington
Keyword(s):  
Thermal Anomalies

scholarly journals Characterization of Highly Irradiated ALPIDE Silicon Sensors

Universe ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 91
Author(s):  
Valentina Raskina ◽  
Filip Křížek
Keyword(s):  
Nuclear Physics ◽  
Detection Efficiency ◽  
Tracking System ◽  
Physics Institute ◽  
Total Ionization ◽  
Silicon Sensors ◽  
Active Pixel ◽  
Academy Of Sciences

The ALICE (A Large Ion Collider Experiment) experiment at CERN will upgrade its Inner Tracking System (ITS) detector. The new ITS will consist of seven coaxial cylindrical layers of ALPIDE silicon sensors which are based on Monolithic Active Pixel Sensor (MAPS) technology. We have studied the radiation hardness of ALPIDE sensors using a 30 MeV proton beam provided by the cyclotron U-120M of the Nuclear Physics Institute of the Czech Academy of Sciences in Řež. In this paper, these long-term measurements will be described. After being irradiated up to the total ionization dose 2.7 Mrad and non-ionizing energy loss 2.7 × 10 13 1 MeV n eq · cm - 2 , ALPIDE sensors fulfill ITS upgrade project technical design requirements in terms of detection efficiency and fake-hit rate.

scholarly journals Influence of Straw Burning on Urban Air Pollutant Concentrations in Northeast China

2019 ◽  
Vol 16 (8) ◽  
pp. 1379 ◽  
Author(s):  
Zhenzhen Wang ◽  
Jianjun Zhao ◽  
Jiawen Xu ◽  
Mingrui Jia ◽  
Han Li ◽  
...  
Keyword(s):  
Northeast China ◽  
Arable Land ◽  
Pollution Index ◽  
Air Pollutant ◽  
Thermal Anomalies ◽  
Pollutant Concentrations ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Straw Burning ◽  
Moderate Resolution Imaging Spectroradiometer

Northeast China is China’s primary grain production base. A large amount of crop straw is incinerated every spring and autumn, which greatly impacts air quality. To study the degree of influence of straw burning on urban pollutant concentrations, this study used The Moderate-Resolution Imaging Spectroradiometer/Terra Thermal Anomalies & Fire Daily L3 Global 1 km V006 (MOD14A1) and The Moderate-Resolution Imaging Spectroradiometer/Aqua Thermal Anomalies and Fire Daily L3 Global 1 km V006 (MYD14A1) data from 2015 to 2017 to extract fire spot data on arable land burning and to study the spatial distribution characteristics of straw burning on urban pollutant concentrations, temporal variation characteristics and impact thresholds. The results show that straw burning in Northeast China is concentrated in spring and autumn; the seasonal spatial distributions of PM2.5, PM10 andAir Quality Index (AQI) in 41 cities or regions in Northeast China correspond to the seasonal variation of fire spots; and pollutants appear in the peak periods of fire spots. In areas where the concentration coefficient of rice or corn is greater than 1, the number of fire spots has a strong correlation with the urban pollution index. The correlation coefficient R between the number of burned fire spots and the pollutant concentration has a certain relationship with the urban distribution. Cities are aggregated in geospatial space with different R values.

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