scholarly journals Calculation of the aboveground carbon stocks with satellite data and statistical models integrated into the climatic parameters in the Alborz Mountain forests (northern Iran)

2019 ◽  
Vol 65 (No. 12) ◽  
pp. 493-503
Author(s):  
Mohadeseh Ghanbari Motlagh ◽  
Sasan Babaie Kafaky ◽  
Asadollah Mataji ◽  
Reza Akhavan
Keyword(s):  
Satellite Data ◽  
Near Infrared ◽  
Elevation Gradient ◽  
Carbon Stocks ◽  
Distribution Range ◽  
Climatic Parameters ◽  
Infrared Band ◽  
Northern Iran ◽  
Aboveground Carbon ◽  
The Relationship

The forest ecosystems of northern Iran in the Alborz Mountains with a wide distribution range have variations in the composition and types of the plants, soil, structure, carbon stocks and climatic conditions. This study investigated the use of a satellite database and climatic parameters in estimating the carbon reserves. Three regions were selected for the distribution range of these forests. The data of 4 climatic parameters (MAP, MHR, MAE and MAT) were modelled based on the relationship with an elevation gradient. 5 spectral vegetation indices (RVI, NDVI, SR, NDGI, DVI and TVI) and near-infrared band (NIR) extracted from the satellite data and the aboveground carbon data of these forests were modelled based on a regression analysis. Finally, the best model of the relationship between the climate variables and the carbon stocks and the satellite indices was obtained from the multivariate linear regression equation and the R2 coefficient. Accordingly, the most influential climatic parameters on the carbon stocks of these forests were precipitation, temperature, and also the most significant indices were NDVI, RVI and NIR band. This research is an attempt to model the calculations of the aboveground carbon in the forests of northern Iran in relation to the climatic parameters using satellite imagery.

scholarly journals Analysis of the visible spectra of some sperm-whale ferrimyoglobin derivatives

1968 ◽  
Vol 110 (2) ◽  
pp. 297-301 ◽  
Author(s):  
D. W. Smith ◽  
R. J. P. Williams
Keyword(s):  
Magnetic Susceptibility ◽  
High Spin ◽  
Linear Correlation ◽  
Near Infrared ◽  
Soret Band ◽  
Sperm Whale ◽  
Spin States ◽  
Infrared Band ◽  
Visible Spectra ◽  
The Relationship

The visible spectra of sperm-whale metmyoglobin and its fluoride, hydroxide, cyanide, azide, cyanate, formate, acetate, thiocyanate and nitrite derivatives were measured and resolved into Gaussian components. A linear correlation between the intensity of the band at 18500cm.−1 and the magnetic susceptibility is found, suggesting that the band is the β-band of the low-spin form. The analysed intensity of this band can be used to determine the relative proportions of the two spin states present. The spectra of the pure high-spin and low-spin components of each derivative can be reconstructed. Correlations between the energy of the near-infrared band and the visible bands of the high-spin form, and between the position and intensity of the 16000cm.−1 band, are demonstrated. The relationship between the position of the Soret band and the magnetic susceptibility can be explained in terms of the equilibrium between spin states.

scholarly journals Tsunami Affected Farmland Extraction Using Morphological Profiles (MPs) Method by Satellite Images Including SAR and Visible Near-Infrared Band Data

2015 ◽  
Vol XL-7/W3 ◽  
pp. 871-875
Author(s):  
Y. Yamada
Keyword(s):  
Satellite Data ◽  
Near Infrared ◽  
Sea Water ◽  
Turnaround Time ◽  
Alos Palsar ◽  
Infrared Band ◽  
Mps Method ◽  
The Pacific ◽  
Sar Data ◽  
Single Polarization

The agricultural fields along the coast were submerged under the sea water after the 2011 off the Pacific Coast of Tohoku Japan Tsunami. The conventional method of detecting Tsunami reached area by SAR satellite data is to compare the data obtained between previous to and after the Tsunami. However such kind of SAR data should be prepared prior to the natural disaster, but in many disaster cases, people have often encountered difficulties in finding such kind of data observed in advance in some regions. Therefore it is desirable to find a way to detect the flood suffering farmlands caused by a Tsunami, using only data observed after the disaster event. The morphological profiles (MPs) method are tested using ALOS/PALSAR and AVNIR-2 data. This MPs method is proposed as the tool for extracting information about the size, shape and the orientation of structures in single-band remote sensing images and has been improved to establish the extended morphological profiles(EMP) dealing with full-spectral information in the multi-/hyper-spectral data (Benediktsson, J.A. et al.,2003,2005). The author’s work is intended to apply this MPs method to combined single polarization SAR data and visual and near-infrared bands data. The results approximately coincide with the farmland regions actually reached by the Tsunami. This MPs method requires only data once obtained soon after a disaster, light computer resources and very short turnaround time. It should be suitable for the detection of Tsunami reached areas or tidal wave reached areas, caused by a Typhoon for example, using satellite data only once obtained after a disaster.

scholarly journals The Equivalent Thermal Conductivity of the Micro/Nano Scaled Periodic Cubic Frame Silver and Its Thermal Radiation Mechanism Analysis

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4158
Author(s):  
Haiyan Yu ◽  
Haochun Zhang ◽  
Heming Wang ◽  
Dong Zhang
Keyword(s):  
Thermal Conductivity ◽  
Thermal Radiation ◽  
Cell Size ◽  
Near Infrared ◽  
High Porosity ◽  
Mechanism Analysis ◽  
Infrared Band ◽  
Spectral Radiation ◽  
Radiation Mechanism ◽  
Equivalent Thermal Conductivity

Currently, there are few studies on the influence of microscale thermal radiation on the equivalent thermal conductivity of microscale porous metal. Therefore, this paper calculated the equivalent thermal conductivity of high-porosity periodic cubic silver frame structures with cell size from 100 nm to 100 µm by using the microscale radiation method. Then, the media radiation characteristics, absorptivity, reflectivity and transmissivity were discussed to explain the phenomenon of the radiative thermal conductivity changes. Furthermore, combined with spectral radiation properties at the different cross-sections and wavelength, the radiative transmission mechanism inside high-porosity periodic cubic frame silver structures was obtained. The results showed that the smaller the cell size, the greater radiative contribution in total equivalent thermal conductivity. Periodic cubic silver frames fluctuate more in the visible band and have better thermal radiation modulation properties in the near infrared band, which is formed by the Surface Plasmon Polariton and Magnetic Polaritons resonance jointly. This work provides design guidance for the application of this kind of periodic microporous metal in the field of thermal utilization and management.

scholarly journals Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Shanshan Wang ◽  
Yunfeng Zhao ◽  
Ye Xu
Keyword(s):  
Near Infrared ◽  
Photoacoustic Imaging ◽  
Imaging Techniques ◽  
Color Doppler ◽  
Power Doppler ◽  
Infrared Region ◽  
Detection Methods ◽  
Imaging Mode ◽  
Nonlinear Imaging ◽  
The Relationship

Abstract Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This paper describes in detail the basic principles of photoacoustic/ultrasound (PA/US) imaging and its application in recent years. It includes near-infrared-region PA, photothermal, photodynamic, and multimode imaging techniques. Particular attention is given to the relationship between PAI and ultrasonic imaging; the latest high-frequency PA/US imaging of small animals, which involves not only B-mode, but also color Doppler mode, power Doppler mode, and nonlinear imaging mode; the ultrasonic model combined with PAI, including the formation of multimodal imaging; the preclinical imaging methods; and the most effective detection methods for clinical research for the future.

scholarly journals Restoration method of sootiness mural images based on dark channel prior and Retinex by bilateral filter

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Ning Cao ◽  
Shuqiang Lyu ◽  
Miaole Hou ◽  
Wanfu Wang ◽  
Zhenhua Gao ◽  
...  
Keyword(s):  
Near Infrared ◽  
Environmental Changes ◽  
Color Image ◽  
Visual Quality ◽  
Bilateral Filter ◽  
Dark Channel Prior ◽  
Infrared Band ◽  
Dark Channel ◽  
Restoration Method ◽  
Pseudo Color

AbstractEnvironmental changes and human activities can cause serious degradation of murals, where sootiness is one of the most common problems of ancient Chinese indoor murals. In order to improve the visual quality of the murals, a restoration method is proposed for sootiness murals based on dark channel prior and Retinex by bilateral filter using hyperspectral imaging technology. First, radiometric correction and denoising through band clipping and minimum noise fraction rotation forward and inverse transform were applied to the hyperspectral data of the sootiness mural to produce its denoised reflectance image. Second, a near-infrared band was selected from the reflectance image and combined with the green and blue visible bands to produce a pseudo color image for the subsequent sootiness removal processing. The near-infrared band is selected because it is better penetrating the sootiness layer to a certain extent comparing to other bands. Third, the sootiness covered on the pseudo color image was preliminarily removed by using the method of dark channel prior and by adjusting the brightness of the image. Finally, the Retinex by bilateral filter was performed on the image to get the final restored image, where the sootiness was removed. The results show that the images restored by the proposed method are superior in variance, average gradient, information entropy and gray scale contrast comparing to the results from the traditional methods of homomorphic filtering and Gaussian stretching. The results also show the highest score in comprehensive evaluation of edges, hue and structure; thus, the method proposed can support more potential studies or sootiness removal in real mural paintings with more detailed information. The method proposed shows strong evidence that it can effectively reduce the influence of sootiness on the moral images with more details that can reveal the original appearance of the mural and improve its visual quality.

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