Using Landsat time series imagery to detect forest disturbance in selectively logged tropical forests in Myanmar
| Autor: | Oumer S. Ahmed, Tetsuji Ota, Raul Ponce-Hernandez, Shigejiro Yoshida, Nobuya Mizoue, Katsuto Shimizu, Zar Chi Win |
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| Rok vydání: | 2017 |
| Předmět: |
Global and Planetary Change
Series (stratigraphy) Disturbance (geology) 010504 meteorology & atmospheric sciences Ecology 0211 other engineering and technologies Tropics Forestry 02 engineering and technology 01 natural sciences Deforestation Environmental science Forest degradation 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | Canadian Journal of Forest Research. 47:289-296 |
| ISSN: | 1208-6037 0045-5067 |
| DOI: | 10.1139/cjfr-2016-0244 |
| Popis: | Detecting forest disturbances is an important task in formulating mitigation strategies for deforestation and forest degradation in the tropics. Our study investigated the use of Landsat time series imagery combined with a trajectory-based analysis for detecting forest disturbances resulting exclusively from selective logging in Myanmar. Selective logging was the only forest disturbance and degradation indicator used in this study as a causative force, and the results showed that the overall accuracy for forest disturbance detection based on selective logging was 83.0% in the study area. The areas affected by selective logging and other factors accounted for 4.7% and 5.4%, respectively, of the study area from 2000 to 2014. The detected disturbance areas were underestimated according to error assessments; however, a significant correlation between areas of disturbance and numbers of harvested trees during the logging year was observed, indicating the utility of a trajectory-based, annual Landsat imagery time series analysis for selective logging detection in the tropics. A major constraint of this study was the lack of available data for disturbances other than selective logging. Further studies should focus on identifying other types of disturbances and their impacts on future forest conditions. |
| Databáze: | OpenAIRE |
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