ABSTRACT Conventional fire risk prediction using vegetation indexes is inappropriate because changes in soil moisture caused by plant drought stress have a 1 to 2 month time lag, which is too long for fire risk management. Further, soil and water indices used for traditional bare land assessments are also unsuitable because Indonesia is partially covered by peat soil, which has different reflection characteristics compared to typical agricultural and field soils. Here we describe a new index for estimating peat soil moisture using satellite remote sensing data. The method was developed using the ultra-blue band (435 to 451 nm) of the Land Remote-Sensing Satellite (Landsat 8) and is based on the moisture dependence of the reflected spectra measured directly. Our developed index showed a relatively strong correlation (r = 0.56 to 0.63) with real wildfire points and was a more reliable index than conventional measures used for fire risk management.

中文翻译：

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基于泥炭土反射光谱测量的印度尼西亚森林火灾风险新指标

摘要 使用植被指数进行常规火灾风险预测是​​不合适的，因为植物干旱胁迫引起的土壤水分变化有 1 到 2 个月的时间滞后，这对于火灾风险管理来说太长了。此外，用于传统裸地评估的土壤和水指数也不适合，因为印度尼西亚部分被泥炭土覆盖，与典型的农业和田间土壤相比，泥炭土具有不同的反射特性。在这里，我们描述了一种使用卫星遥感数据估算泥炭土壤水分的新指数。该方法是使用陆地遥感卫星 (Landsat 8) 的超蓝波段 (435 至 451 nm) 开发的，并基于直接测量的反射光谱的湿度依赖性。我们开发的指数显示出相对较强的相关性（r = 0.56 到 0.