【學術亮點】Multi-Index Remote Sensing for Post-Fire Damage Assessment: Accuracy, Carbon Loss, and Conservation Implications
Ecological Agriculture: Assessment of Forest Carbon Sink and Ecological Economy under Climate Change【 Department of Forestry / Liu, Wan-Yu / Distinguished Professor】
生態農業：氣候變遷下森林碳匯與生態經濟評估【森林學系/柳婉郁特聘教授】
| 論文篇名 | 英文：Multi-Index Remote Sensing for Post-Fire Damage Assessment: Accuracy, Carbon Loss, and Conservation Implications 中文：多指標遙測技術用於火災後損害評估：準確性、碳損失和保護 |
| 期刊名稱 | Frontiers in Forests and Global Change |
| 發表年份, 卷數,起迄頁數 | 2025, 8: 1–11 |
| 作者 | Liu, Chih-Lin; Wang, You-Ren; Liu, Wan-Yu(柳婉郁)* |
| DOI | 10.3389/ffgc.2025.1577612 |
| 中文摘要 | 本研究利用臺灣玉山國家公園2021年森林火災資料，運用Normalized Burn Ratio (NBR)、Burned Area Index (BAI)與Normalized Difference Vegetation Index (NDVI)三種指標，結合Landsat-8衛星影像資料，針對玉山國家公園第51與52林班進行前後期影像比較與燃燒區域判釋，發展出一套整合多種遙測植生指數的災後損失快速評估方法。本研究NBR分析識別出68.89公頃的火災區域，對照官方公布的火災區域報告準確率高達97.1%，證明該方法在快速損害評估方面的可靠性。 NDVI和BAI分析提供了互補的結果，NDVI有效檢測出27.99公頃完全被燒毀的植被，BAI識別出17.80公頃嚴重燒毀的區域，兩者在與地面觀測結果驗證後均顯示出顯著性結果。本研究透過碳儲量分析量化7至18,000公噸的碳損失，證明此方法在環境影響量化方面的能力。另外，多指標方法揭示了不同森林區域不同程度的火災損害，從而能夠精確繪製生態系統損害模式。此模式將可為森林復育提供一套具有經濟性、可重複操作的方法用以支持全球森林保護區的管理策略。 |
| 英文摘要 | This study advances environmental management practices by developing a comprehensive multi-index remote sensing methodology for rapid and accurate forest fire impact assessment in protected areas. Applied to the 2021 Yushan National Park fire in Taiwan, the approach integrates three complementary vegetation indices—Normalized Burn Ratio (NBR), Burned Area Index (BAI), and Normalized Difference Vegetation Index (NDVI)—to evaluate pre-fire and post-fire conditions across forest compartments No. 51 and No. 52. The methodology demonstrates significant advantages for protected area management where recreational activities intersect with conservation priorities. The NBR analysis identified 68.89 hectares of burned area with 97.1% accuracy compared to official reports, establishing the method’s reliability for rapid damage assessment. NDVI and BAI analyses provided complementary insights, with NDVI effectively detecting 27.99 hectares of completely destroyed vegetation and BAI identifying 17.80 hectares of severely charred areas, both showing statistical significance when validated against ground observations. Through carbon storage analysis, we quantified a loss ranging from 7 to 18,000 metric tons, demonstrating the approach’s capability for environmental impact quantification. The multi-index methodology reveals varying degrees of burn severity across different forest compartments, enabling precise mapping of ecosystem damage patterns. This framework offers a cost-effective, reproducible approach for both immediate impact evaluation and long-term monitoring of forest recovery, supporting evidence-based management decisions in protected areas globally, though local calibration may be required for optimal performance. |
| 發表成果與本中心研究主題相關性 | 此研究與永續農業中心研究主題之淨零碳排與農林碳匯、生態系服務密切相關。 |
