Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeus
Yellow mistletoe (Loranthus europaeus) species is a semi-parasitic plant threatening the Zagros forests, hence idendification of infectious areas are important for its control and management. For this purpose, a forest patch ca 37 ha with different intensities of yellow mistletoe was selected in Ila...
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| Format: | Article |
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Iranian Society of Forestry
2017-02-01
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| Series: | مجله جنگل ایران |
| Subjects: | |
| Online Access: | http://www.ijf-isaforestry.ir/article_46269_8a70ce07f0a4b9ba3b43de1c44ca22d2.pdf |
| _version_ | 1819062275249537024 |
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| author | Sasan Babaei Kafaki بهاره سهرابی سراج هادی کیادلیری رضا اخوان |
| author_facet | Sasan Babaei Kafaki بهاره سهرابی سراج هادی کیادلیری رضا اخوان |
| author_sort | Sasan Babaei Kafaki |
| collection | DOAJ |
| description | Yellow mistletoe (Loranthus europaeus) species is a semi-parasitic plant threatening the Zagros forests, hence idendification of infectious areas are important for its control and management. For this purpose, a forest patch ca 37 ha with different intensities of yellow mistletoe was selected in Ilam province. In order to classify the yellow mistletoe, worldview 2 satellite image dated November 14, 2010 was used. After radiometric and geometric corrections, the image was segmented by NDVI and PCA as thematic layers with different band weights and 29 scale parameter. Different algorithms such as K Nearest Neighbor (with different K parameter), Support Vector Machine (with different C parameter), and Random Forest (with different number of trees) based on object-based approach with 18 spectral and shape features were then compared by using 312 ground truth points. The overal accuracy for K Nearest Neighbor, Support Vector Machine and Random Forest algorithm were obtained 85.1%, 87.4% and 92.9%, respectively for infection classifaication into four categoreis (non, low, mediom and severe infections). Random Forest algorithm with 1000 trees was the best one in indentifying the various intensities of infections. It is concluded that identification of yellow mistletoe in Zagros by using worldview 2-satellite image and object-based classification is possible. |
| first_indexed | 2024-12-21T14:56:11Z |
| format | Article |
| id | doaj.art-aa1fd466cd934ea592fabd01da362a2a |
| institution | Directory Open Access Journal |
| issn | 2008-6113 2423-4435 |
| language | fas |
| last_indexed | 2024-12-21T14:56:11Z |
| publishDate | 2017-02-01 |
| publisher | Iranian Society of Forestry |
| record_format | Article |
| series | مجله جنگل ایران |
| spelling | doaj.art-aa1fd466cd934ea592fabd01da362a2a2022-12-21T18:59:44ZfasIranian Society of Forestryمجله جنگل ایران2008-61132423-44352017-02-018444545846269Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeusSasan Babaei Kafaki0بهاره سهرابی سراج1هادی کیادلیری2رضا اخوان3هیات علمی دانشگاه علوم تحقیقاتدانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه جنگلداری، تهران، ایران.دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، گروه جنگلداری، تهران، ایران.دانشیار پژوهش، مؤسسۀ تحقیقات جنگل‌ها و مراتع کشور، تهران. ایران.Yellow mistletoe (Loranthus europaeus) species is a semi-parasitic plant threatening the Zagros forests, hence idendification of infectious areas are important for its control and management. For this purpose, a forest patch ca 37 ha with different intensities of yellow mistletoe was selected in Ilam province. In order to classify the yellow mistletoe, worldview 2 satellite image dated November 14, 2010 was used. After radiometric and geometric corrections, the image was segmented by NDVI and PCA as thematic layers with different band weights and 29 scale parameter. Different algorithms such as K Nearest Neighbor (with different K parameter), Support Vector Machine (with different C parameter), and Random Forest (with different number of trees) based on object-based approach with 18 spectral and shape features were then compared by using 312 ground truth points. The overal accuracy for K Nearest Neighbor, Support Vector Machine and Random Forest algorithm were obtained 85.1%, 87.4% and 92.9%, respectively for infection classifaication into four categoreis (non, low, mediom and severe infections). Random Forest algorithm with 1000 trees was the best one in indentifying the various intensities of infections. It is concluded that identification of yellow mistletoe in Zagros by using worldview 2-satellite image and object-based classification is possible.http://www.ijf-isaforestry.ir/article_46269_8a70ce07f0a4b9ba3b43de1c44ca22d2.pdfilamloranthus europaeusobject-base classificationrandom forestworldview 2 |
| spellingShingle | Sasan Babaei Kafaki بهاره سهرابی سراج هادی کیادلیری رضا اخوان Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeus مجله جنگل ایران ilam loranthus europaeus object-base classification random forest worldview 2 |
| title | Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeus |
| title_full | Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeus |
| title_fullStr | Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeus |
| title_full_unstemmed | Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeus |
| title_short | Classification of worldview 2 satellite image by using object-based technique to identifying the infection of Zagros forests by Loranthus europaeus |
| title_sort | classification of worldview 2 satellite image by using object based technique to identifying the infection of zagros forests by loranthus europaeus |
| topic | ilam loranthus europaeus object-base classification random forest worldview 2 |
| url | http://www.ijf-isaforestry.ir/article_46269_8a70ce07f0a4b9ba3b43de1c44ca22d2.pdf |
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