Precision Monitoring of Tropical Peat Swamp Forests by using Satellite-basis and Ground-basis Remote Sensing

阐明了利用多时相卫星遥感资料监测物候波动来估算泥炭厚度和泥炭地下水衰减的可能性。泥炭厚度估计揭示了这样一个事实，即来自植被指数的时间序列的物候分类可以是水文季节性的指标，其特征是由泥炭厚度的差异影响。经计算，加里曼丹中部泥炭沼泽森林的泥炭层中储存的碳为1Gt/Mha。地下水的显着减少和归一化差异指数（NDVI）的对应关系被发现是有效的，以监测非常干燥的条件下，在加里曼丹中部的泥炭沼泽森林。10年平均NDVI的标准差（SD）的三倍较大的减少将导致泥炭层的平均地下水位的SD的两倍较大的减少。为了实现精确监测，安装在动力伞上的分光辐射计传感器正在开发中。

We have been clarified the possibilities of estimating peat thickness and peat groundwater decline via monitoring of phonological fluctuation using multi-temporal satellite remote sensing data. Peat thickness was estimated by revealing the fact that phonological classification derived from time-series of vegetation index can be the indicator for hydrological seasonality, which characteristics are affected by the difference in peat thickness. Stored carbon of 1Gt/Mha was calculated to be in the peat layer of the peat swamp forests in Central Kalimantan. A correspondence of significant groundwater decrease and normalized difference index (NDVI) was found out to be effective to monitor extremely dry condition of the peat swamp forests in Central Kalimantan. Three times a larger decrement of the standard deviation (SD) of 10-year mean NDVI will result in twice a larger decrement of the SD of mean groundwater level in the peat layer. In order for the precision monitoring, spectroradiometer mounted paramotor sensing is in the process of development.