利用无人飞行器激光雷达(Lidar-UAV)指标和森林资源清查,对马莫拉栓皮栎林的生物量和碳储量进行建模和空间分析

IF 1.7 Q2 GEOGRAPHY Regional Science Policy and Practice Pub Date : 2024-08-30 DOI:10.1016/j.rspp.2024.100127
Sanaa Fadil , Imane Sebari , Mohamed Ajerame Moulay , Kenza Ait El kadi
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引用次数: 0

摘要

最近,人们对气候变化的担忧加剧了在地方、国家、大陆和全球范围内估算和绘制生物量和碳储量图的有效方法的需求。可靠的生物量和碳储量量化和空间化是一项挑战,尤其是在退化的地中海栓皮栎林中。为了估算和绘制生物量(Btree-Total)和碳储量(Cst-total),我们探索了一种改进的方法,利用无人机激光雷达(Lidar-UAV)收集的提取指标,并结合森林资源清查数据。我们采用三种模型进行数据分析:简单线性回归、多元线性回归和逐步多元线性回归。生物量和碳储量模型拟合效果最好的是逐步多元线性回归,涉及以下指标:最大海拔高度、冠层覆盖率、点云密度和强度。我们的发现提供了一个基于激光雷达-无人机指标的软木橡树地中海森林生物量和碳储量的量化和空间化模型,结果证实了马莫拉森林的退化状态,其生物量和碳储量相对中等偏低。
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Modeling and spatialization of biomass and carbon stock using unmanned Aerial Vehicle Lidar (Lidar-UAV) metrics and forest inventory in cork oak forest of Maamora

Recently, the concerns about climate change have heightened the need for effective methods for estimating and mapping Biomass and Carbon stock at local, national, continental, and global scales. Reliable Biomass and Carbon stock quantification and spatialization is a challenge, especially in degraded Mediterranean Cork oak forest. To estimate and map Biomass (Btree−Total) and Carbon stock (Cst−total), we explored an improved approach using extracted metrics collected by Lidar-UAV (unmanned aerial vehicles Lidar), combined with forest inventory data. We approach three types of models for data analysis: Simple linear regression, multiple linear regressions, and stepwise multiple linear regression. The best Biomass and Carbon stock model fit is the Stepwise multiple linear regressions, involving the following metrics: maximum elevation, canopy cover and point cloud density and intensity. Our finding provides a quantification and spatialization Biomass and Carbon stock model based on Lidar-UAV metrics in Cork Oak Mediterranen forest and the results confirm the degraded state of Maamora Forest with a Biomass and Carbon stock relatively medium to low.

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来源期刊
CiteScore
3.60
自引率
5.90%
发文量
92
期刊介绍: Regional Science Policy & Practice (RSPP) is the official policy and practitioner orientated journal of the Regional Science Association International. It is an international journal that publishes high quality papers in applied regional science that explore policy and practice issues in regional and local development. It welcomes papers from a range of academic disciplines and practitioners including planning, public policy, geography, economics and environmental science and related fields. Papers should address the interface between academic debates and policy development and application. RSPP provides an opportunity for academics and policy makers to develop a dialogue to identify and explore many of the challenges facing local and regional economies.
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