Preliminary Analysis of Forest Stand Disturbances in Coastal Georgia (USA) Using Landsat Time Series Stacked Imagery
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- Obata Shingo
- Warnell School of Forestry and Natural Resources, University of Georgia, USA
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- Cieszewski Chris J.
- Warnell School of Forestry and Natural Resources, University of Georgia, USA
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- Bettinger Pete
- Warnell School of Forestry and Natural Resources, University of Georgia, USA
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- Lowe III Roger C.
- Warnell School of Forestry and Natural Resources, University of Georgia, USA
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- Bernardes Sergio
- Center for Geospatial Research, University of Georgia, USA
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<p>A determination of forest characteristics across broad areas is of great concern to the forest industry in the southern United States, as timber supply decisions can be based on opportunities, or lack of thereof, across all wood procurement areas. This is important in areas such as the southern United States, where the land ownership distribution is highly fragmented and where no general comprehensive source of forest data exists other than the low-intensity USDA Forest Service FIA surveys. In an effort to describe forest characteristics along the lower Coastal Plain of the State of Georgia (USA), we utilized a time series of Landsat data and an algorithm that assesses an integrated forest Z score. The methodology was used to create disturbance maps for over 30 years that represent the year of disturbance for specific locations. The overall accuracy was 52% when all years were considered, and approximately 70% from 1991 forward. Preliminary findings showed moderate levels of accuracy when determining ages for current forests, most of which are even-aged nature stands. Further modifications to the process were necessary to adapt to the unique conditions of study region. The modeling process also prompted several areas for future refinement, including improvement of the temporal resolution of the analysis by using all the available Landsat imagery and detection of the regeneration that normally occurs several years after disturbances.</p>
収録刊行物
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- FORMATH
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FORMATH 18 (0), n/a-, 2019-04-06
FORMATH研究学会
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詳細情報 詳細情報について
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- CRID
- 1390564238098205696
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- NII論文ID
- 130007629800
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- ISSN
- 21885729
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可