Remote Sensing Methods and GIS Approaches for Carbon Sequestration Measurement: A General Review

Kossivi Fabrice Dossa, Y. Miassi
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Abstract

Geospatial technologies like Remote Sensing (RS) and Geographic Information Systems (GIS) provide a platform for swiftly evaluating terrestrial Carbon Stock (CS) across extensive regions. Employing an integrated RS-GIS method for estimating Above-Ground Biomass (AGB) and precise carbon management emerges as a timely and economical strategy for implementing effective management plans on a localized and regional level. This study reviews different RS-related techniques utilized in CS assessment, particularly in arid lands, shedding light on the challenges, opportunities, and future trends associated with the process. As global warming poses adverse impacts on major ecosystems through temperature and precipitation changes, professionals have a call to develop evidence-based interventions to mitigate them. Carbon sequestration involves harnessing and storing carbon stocks from the atmosphere to minimize the adverse effects of climate change. The review explores the effectiveness of integrating remote sensing and GIS methodologies in quantifying carbon sequestration within agroforestry landscapes. In addition, this review also assesses the traditional methods, including their limitations, and deeply delves into recent techniques, emphasizing key remote sensing (RS) variables for biophysical predictions. This study showcases the efficacy of geospatial technologies in evaluating terrestrial carbon stock, particularly in arid regions. The study reviews diverse techniques and sensors, like optical Radio Detection and Ranging (RADAR), and Light Detection and Ranging (LiDAR), extensively employed for above-ground biomass (AGB) estimation and carbon stock assessment with RS data, introducing and discussing new methods. Existing literature was examined to present knowledge and evidence on the effectiveness of these technologies in carbon sequestration. The key findings of this review will inform future research and integration of technology, policy formulation, and carbon sequestration management to mitigate the impacts of climate change.
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用于碳封存测量的遥感方法和地理信息系统方法:综述
遥感(RS)和地理信息系统(GIS)等地理空间技术为迅速评估广大地区的陆地碳储量(CS)提供了一个平台。采用 RS-GIS 综合方法估算地面生物量(AGB)并进行精确的碳管理,是在地方和区域层面实施有效管理计划的一种及时而经济的策略。本研究回顾了 CS 评估(尤其是在干旱地区)中使用的不同 RS 相关技术,揭示了与该过程相关的挑战、机遇和未来趋势。全球变暖会通过温度和降水量的变化对主要生态系统造成不利影响,因此专业人士呼吁开发基于证据的干预措施来缓解这些影响。碳固存涉及利用和储存大气中的碳储量,以尽量减少气候变化的不利影响。本综述探讨了整合遥感和地理信息系统方法在量化农林景观碳固存方面的有效性。此外,本综述还评估了传统方法,包括其局限性,并深入探讨了最新技术,强调了用于生物物理预测的关键遥感(RS)变量。本研究展示了地理空间技术在评估陆地碳储量方面的功效,尤其是在干旱地区。研究回顾了各种技术和传感器,如光学无线电探测与测距(RADAR)和光探测与测距(LiDAR),这些技术和传感器被广泛用于利用 RS 数据进行地上生物量(AGB)估算和碳储量评估,并介绍和讨论了新方法。通过研究现有文献,介绍了这些技术在碳封存方面的有效性。本综述的主要结论将为未来的研究以及技术、政策制定和碳封存管理的整合提供参考,以减轻气候变化的影响。
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