APPLICATIONS OF MULTITEMPORAL OPTICAL IMAGES FOR FOREST RESOURCES STUDY IN MONGOLIA

Хэвлэлийн нэр: ACRS 2014: The 35th Asian Conference on Remote Sensing

Зохиогч:  Ц.Бат-Эрдэнэ

Хамтран зохиогч:

Хэвлүүлсэн огноо: 2014-10-31

Хуудас дугаар: 45

Өгүүллийн хураангуй: The aim of this research is to conduct the forest resources change study in Bogdkhan Mountain,
Mongolia using multitemporal optical satellite images. For the analysis, Landsat images from different years and
some other spatial information are used. To extract thematic information about forest class, a Mahalanobis distance
classifier is applied to the multitemporal remote sensing (RS) images and land cover types are classified into forest
and non-forest classes. For the improvement of the preliminary classification results, a fuzzy convolution with a
3x3 size window is applied and as the accuracy assessment, the overall performance is used. Overall, the results
indicated that during recent years the forest resources of the Bogdkhan Mountain have been reduced and some
measures should be taken.

Өгүүллийн төрөл: Олон улсын хурлын эмхэтгэлд бүрэн хэмжээний өгүүлэл

Өгүүллийн зэрэглэл: Гадаад

Түлхүүр үг: #Multitemporal images #Change study #Forest Resources #Classification

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