Assessing the Importance of Tree Cover Threshold for Forest Cover Mapping Derived from Global Forest Cover in Myanmar
Assessing the Importance of Tree Cover Threshold for Forest Cover Mapping Derived from Global Forest Cover in Myanmar
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DOI：
10.3390/f10121062
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发表时间：
2019-11
期刊：
影响因子：
2.9
通讯作者：
Kay Khaing Lwin;T. Ota;Katsuto Shimizu;N. Mizoue
中科院分区：
文献类型：
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作者：
Kay Khaing Lwin;T. Ota;Katsuto Shimizu;N. Mizoue
全面的森林覆盖率测绘对于制定政策和管理决策至关重要。然而，从原始遥感数据创建森林覆盖地图对许多用户来说是一个障碍。在这里，我们调查了不同的树木覆盖阈值对全球森林变化数据集(GFCD)得出的跨不同生态区的森林覆盖地图的准确性的影响，在缅甸的国家规模评估中。为了了解不同阈值对地图精度的影响，从GFCD创建了9个阈值在10%至90%之间的森林覆盖地图。对每个生态区内和全国范围内的森林复盖图的准确性进行了评估。当林木覆盖度阈值小于50%时，非热带雨林生态区的总体精度最高。热带雨林的适宜门槛是80%。因此，不同的生态区需要不同的最佳树木覆盖阈值才能达到最高的总体精度。然而，在缅甸的独特情况下，我们能够确定整个国家的门槛。我们的结论是，编制森林覆盖图的树木覆盖阈值应根据大比例尺监测确定的生态区面积比例来确定。我们的结果适用于具有相似生态区的热带地区。
Comprehensive forest cover mapping is essential for making policy and management decisions. However, creating a forest cover map from raw remote sensing data is a barrier for many users. Here, we investigated the effects of different tree cover thresholds on the accuracy of forest cover maps derived from the Global Forest Change Dataset (GFCD) across different ecological zones in a country-scale evaluation of Myanmar. To understand the effect of different thresholds on map accuracy, nine forest cover maps having thresholds ranging from 10% to 90% were created from the GFCD. The accuracy of the forest cover maps within each ecological zone and at the national scale was assessed. The overall accuracies of ecological zones other than tropical rainforest were highest when the threshold for tree cover was less than 50%. The appropriate threshold for tropical rainforests was 80%. Therefore, different optimal tree cover thresholds were required to achieve the highest overall accuracy depending on ecological zones. However, in the unique case of Myanmar, we were able to determine the threshold across the whole country. We concluded that the threshold for tree cover for creating a forest cover map should be determined according to the areal ratio of ecological zones determined from large-scale monitoring. Our results are applicable to tropical regions having similar ecological zones.