Yıl 2018, Cilt 5, Sayı 2, Sayfalar 231 - 243 2018-08-01

Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey

M. Tolga Esetlili [1] , Filiz Bektas Balcik [2] , Fusun Balik Sanli [3] , Kaan Kalkan [4] , Mustafa Ustuner [5] , Cigdem Goksel [6] , Cem Gazioğlu [7] , Yusuf Kurucu [8]

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With the latest development and increasing availability of high spatial resolution sensors, earth observation technology offers a viable solution for crop identification and management. There is a strong need to produce accurate, reliable and up to date crop type maps for sustainable agriculture monitoring and management. In this study, RapidEye, the first high-resolution multi-spectral satellite system that operationally provides a Red-edge channel, was used to test the potential of the data for crop type mapping. This study was investigated at a selected region mostly covered with agricultural fields locates in the low lands of Menemen (İzmir) Plain, TURKEY. The potential of the three classification algorithms such as Maximum Likelihood Classification, Support Vector Machine and Object Based Image Analysis is tested. Accuracy assessment of land cover maps has been performed through error matrix and kappa indexes. The results highlighted that all selected classifiers as highly useful (over 90%) in mapping of crop types in the study region however the object-based approach slightly outperforming the Support Vector Machine classification by both overall accuracy and Kappa statistics. The success of selected methods also underlines the potential of RapidEye data for mapping crop types in Aegean region.

crop type mapping, Pixel-based classification, Object-based classification
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Birincil Dil en
Konular Mühendislik
Dergi Bölümü Research Articles
Yazarlar

Yazar: M. Tolga Esetlili
Kurum: EGE UNIVERSITY
Ülke: Turkey


Yazar: Filiz Bektas Balcik
Kurum: İSTANBUL TEKNİK ÜNİVERSİTESİ
Ülke: Turkey


Yazar: Fusun Balik Sanli
Kurum: YILDIZ TEKNİK ÜNİVERSİTESİ
Ülke: Turkey


Yazar: Kaan Kalkan
Kurum: TUBITAK
Ülke: Turkey


Yazar: Mustafa Ustuner
Kurum: YILDIZ TECHNICAL UNIVERSITY
Ülke: Turkey


Yazar: Cigdem Goksel (Sorumlu Yazar)
Kurum: ISTANBUL TECHNICAL UNIVERSITY
Ülke: Turkey


Yazar: Cem Gazioğlu
Kurum: Istanbul University, Institute of Marine Sciences and Management
Ülke: Turkey


Yazar: Yusuf Kurucu
Kurum: EGE UNIVERSITY
Ülke: Turkey


Bibtex @araştırma makalesi { ijegeo442002, journal = {International Journal of Environment and Geoinformatics}, issn = {}, eissn = {2148-9173}, address = {Cem GAZİOĞLU}, year = {2018}, volume = {5}, pages = {231 - 243}, doi = {10.30897/ijegeo.442002}, title = {Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey}, key = {cite}, author = {Kurucu, Yusuf and Ustuner, Mustafa and Esetlili, M. Tolga and Balik Sanli, Fusun and Bektas Balcik, Filiz and Goksel, Cigdem and Gazioğlu, Cem} }
APA Esetlili, M , Bektas Balcik, F , Balik Sanli, F , Kalkan, K , Ustuner, M , Goksel, C , Gazioğlu, C , Kurucu, Y . (2018). Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey. International Journal of Environment and Geoinformatics, 5 (2), 231-243. DOI: 10.30897/ijegeo.442002
MLA Esetlili, M , Bektas Balcik, F , Balik Sanli, F , Kalkan, K , Ustuner, M , Goksel, C , Gazioğlu, C , Kurucu, Y . "Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey". International Journal of Environment and Geoinformatics 5 (2018): 231-243 <http://dergipark.gov.tr/ijegeo/issue/38250/442002>
Chicago Esetlili, M , Bektas Balcik, F , Balik Sanli, F , Kalkan, K , Ustuner, M , Goksel, C , Gazioğlu, C , Kurucu, Y . "Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey". International Journal of Environment and Geoinformatics 5 (2018): 231-243
RIS TY - JOUR T1 - Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey AU - M. Tolga Esetlili , Filiz Bektas Balcik , Fusun Balik Sanli , Kaan Kalkan , Mustafa Ustuner , Cigdem Goksel , Cem Gazioğlu , Yusuf Kurucu Y1 - 2018 PY - 2018 N1 - doi: 10.30897/ijegeo.442002 DO - 10.30897/ijegeo.442002 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 231 EP - 243 VL - 5 IS - 2 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.442002 UR - http://dx.doi.org/10.30897/ijegeo.442002 Y2 - 2018 ER -
EndNote %0 International Journal of Environment and Geoinformatics Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey %A M. Tolga Esetlili , Filiz Bektas Balcik , Fusun Balik Sanli , Kaan Kalkan , Mustafa Ustuner , Cigdem Goksel , Cem Gazioğlu , Yusuf Kurucu %T Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey %D 2018 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 5 %N 2 %R doi: 10.30897/ijegeo.442002 %U 10.30897/ijegeo.442002
ISNAD Esetlili, M. Tolga , Bektas Balcik, Filiz , Balik Sanli, Fusun , Kalkan, Kaan , Ustuner, Mustafa , Goksel, Cigdem , Gazioğlu, Cem , Kurucu, Yusuf . "Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey". International Journal of Environment and Geoinformatics 5 / 2 (Ağustos 2018): 231-243. http://dx.doi.org/10.30897/ijegeo.442002