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| 1 | A comparison of activation functions for multispectral landsat TM image classification显示文摘 | Coskun Ozkan Filiz Sunar Erbek | 2003 | Photogrammetric Engineering & Remote Sensing2003，69，11： | 1 |
| 2 | Assessment of genotoxic effects of 2,4-dichlorophenoxyacetic acid on maize by using RAPD analysis显示文摘 | Ozkan Aksakal Filiz Aygun Erturk Serap Sunar Sedat Bozari Guleray Agar | 2013 | Industrial Crops & Products2013，，： | 1 |
| 3 | Spatial pattern analysis of post-fire damages in the Menderes District of Turkey显示文摘Forest fires,whether caused naturally or by human activity can have disastrous effects on the environment.Turkey,located in the Mediterranean climate zone,experiences hundreds of forest fires every year.Over the past two decades,these fires have destroyed approximately 308000 ha of forest area,threatening the sustainability of its ecosystem.This study analyzes the forest fire that occurred in the Menderes region of Izmir on July 1,2017,by using pre-and post-fire Sentinel 2(10 m and 20 m)and Landsat 8(30 m)satellite images,MODIS and VIIRS fire radiative power(FRP)data(1000 m and 375 m,respectively),and reference data obtained from a field study.Hence,image processing techniques integrated with the Geographic Information System(GIS)database were applied to a satellite image data set to monitor,analyze,and map the effects of the forest fire.The results show that the land surface temperature(LST)of the burned forest area increased from 1 to 11°C.A high correlation(R=0.81)between LST and burn severity was also determined.The burned areas were calculated using two different classification methods,and their accuracy was compared with the reference data.According to the accuracy assessment,the Sentinel(10 m)image classification gave the best result(96.43%for Maximum Likelihood,and 99.56%for Support Vector Machine).The relationship between topographical/forest parameters,burn severity and disturbance index was evaluated for spatial pattern distribution.According to the results,the areas having canopy closure between 71%–100%and slope above 35%had the highest burn incidence.As a final step,a spatial correlation analysis was performed to evaluate the effectiveness of MODIS and VIIRS FRP data in the postfire analysis.A high correlation was found between FRPslope,and FRP-burn severity(0.96 and 0.88,respectively). | Emre COLAK Filiz SUNAR | 2020 | Frontiers of Earth Science2020，14，2： | 0 |
| 4 | A comparative data-fusion analysis of multi-sensor satellite images显示文摘Remote-sensing data play an important role in extracting information with the help of various sensors having different spectral,spatial and temporal resolutions.Therefore,data fusion,which merges images of different spatial and spectral resolutions,plays an important role in information extraction.This research investigates quality-assessment methods of multisensor(synthetic aperture radar[SAR]and optical)data fusion.In the analysis,three SAR data-sets from different sensors(RADARSAT-1,ALOS-PALSAR and ENVISAT-ASAR)and optical data from SPOT-2 were used.Although the PALSAR and the RADARSAT-1 images have the same resolutions and polarisations,images are gathered in different frequencies(L and C bands,respectively).The ASAR sensor also has C-band radar,but with lower(25 m)resolution.Since the frequency is a key factor for penetration depth,it is thought that the use of different SAR data might give interesting results as an output.This study describes a comparative study of multisensor fusion methods,namely the intensity-hue-saturation,Ehlers,and Brovey techniques,by using different statistical analysis techniques,namely the bias of mean,correlation coefficient,standard deviation difference and universal image quality index methods.The results reveal that Ehlers’method is superior to the others in terms of spectral and statistical fidelity. | Saygin Abdikan Fusun Balik Sanli Filiz Sunar Manfred Ehlers | 2014 | International Journal of Digital Earth2014，7，8： | 0 |
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