| Autor: |
Dmitriev Egor, Kozoderov Vladimir, Donskoy Sergey, Melnik Petr, Sokolov Anton |
| Jazyk: |
English<br />French |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
E3S Web of Conferences, Vol 75, p 01003 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/20197501003 |
| Popis: |
A method for automated processing high spatial resolution satellite images is proposed to retrieve inventory and bioproductivity parameters of forest stands. The method includes effective learning classifiers, inverse modeling, and regression modeling of the estimated parameters. Spectral and texture features are used to classify forest species. The results of test experiments for the selected area of Savvatievskoe forestry (Russia, Tver region) are presented. Accuracy estimates obtained using ground-based measurements demonstrate the effectiveness of using the proposed techniques to automate the process of updating information for the State Forest Inventory program of Russia. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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