Digital Approach to Forest Cover Mapping: a Case Study of Forest-Tundra in the near-Yenisei Siberia
Abstract An algorithm of semi-automated classification and mapping of vegetation cover was developed based on the digital data (satellite images, digital elevation model, and climate data base) and ground truth data. The obtained maps cover a range of vegetation growth conditions, diversity of the v...
| Published in: | IOP Conference Series: Earth and Environmental Science |
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| Main Authors: | , , |
| Format: | Article in Journal/Newspaper |
| Language: | unknown |
| Published: |
IOP Publishing
2020
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1088/1755-1315/509/1/012045 https://iopscience.iop.org/article/10.1088/1755-1315/509/1/012045/pdf https://iopscience.iop.org/article/10.1088/1755-1315/509/1/012045 |
| Summary: | Abstract An algorithm of semi-automated classification and mapping of vegetation cover was developed based on the digital data (satellite images, digital elevation model, and climate data base) and ground truth data. The obtained maps cover a range of vegetation growth conditions, diversity of the vegetation types, and bog complexes in the forest-tundra zone of the Middle Siberia. |
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