ABSTRACT Background: Traditional field-based methods of measurement of biomass and carbon storage face difficulty in collecting time-consuming and expensive, suggests the use of remote sensing-based techniques. It estimates the economic value of the aboveground biomass (AGB) using satellite remote sensing across the Hyrcanian forests of Iran. Methods: The Landsat-8 OLI sensor data were combined with field-based allometric information of 186 circular sample plots. The AGB was calculated at the plot level using the collected data and specific volumetric mass for species in the studied area. It was followed by calculating the carbon storage using a 50% carbon coefficient and the photosynthesis equation at the forest parcel level. Model results using the random forest and support vector machines. The carbon sequestration value was calculated with USD 25.3 as a shadow value of carbon in 2014 and using the replacement cost approach. Results: The highest performances achieved by RF for biomass, carbon storage and the carbon storage value (Iranian Rials of 0.67% and 16%, respectively). The value was derived once at the plot level of 12.22 million IRR (370.43 USD) per ha. In addition, at the parcel level, which resulted in an estimated value of 12.87 million IRR (390.24 USD) per ha.

中文翻译：

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对地上温带森林生物量经济价值的无损、基于遥感的估计（案例研究：Hyrcanian 森林，nowshahr-iran）

摘要 背景： 传统的基于现场的生物量和碳储存测量方法面临收集耗时和昂贵的困难，建议使用基于遥感的技术。它使用横跨伊朗希尔卡尼亚森林的卫星遥感来估算地上生物量 (AGB) 的经济价值。方法：将 Landsat-8 OLI 传感器数据与 186 个圆形样地的基于现场的异速生长信息相结合。使用收集到的数据和研究区域内物种的特定体积质量，在地块级别计算 AGB。然后使用 50% 的碳系数和森林地块水平的光合作用方程计算碳储存。使用随机森林和支持向量机对结果进行建模。碳固存价值是用 25.3 美元作为 2014 年碳的影子价值并使用重置成本方法计算的。结果：RF 在生物质、碳储存和碳储存值方面实现了最高性能（伊朗里亚尔分别为 0.67% 和 16%）。该价值是在每公顷 1222 万 IRR（370.43 美元）的地块水平上得出的。此外，在包裹层面，估计价值为每公顷 1287 万 IRR（390.24 美元）。