摘要
土壤有机碳库是人类可以对其施加影响的最大生物圈碳库,其储量的估算和动态变化研究是全球碳循环研究中的重要内容.传统的各种估算和监测方法存在一定的问题,而利用高光谱遥感估算土壤有机碳含量具有便捷快速、节约成本、非破坏性和准确度高的优势,同时,从机载高光谱传感器获取的土壤图像数据对于估算大尺度区域土壤有机碳含量和跨时空动态研究具有相当大的潜力.但是,基于高光谱遥感数据的监测受到很多因素的影响,包括土壤有机碳含量的差异、成土母质、土壤含水量、土壤质地等以及与土壤有机碳光谱响应特性较为接近的氧化铁的影响.另外,野外土壤表面状态(如植被覆盖、表面粗糙度、土壤含水量和沙石等)以及大气、光照和辐射条件等也都对研究结果和估算精度产生较大的影响.今后该领域的研究应致力于对各影响因素的深入研究,同时寻求更多有效的计量方法提高估算模型的稳定性,并最终应用高光谱遥感数据开展区域尺度土壤有机碳含量的估算.
Soil organic carbon （SOC） represents one of the major pools in global C cycle. Therefore, even small changes in SOC stocks can cause important CO2 fluxes between terrestrial ecosystems and the atmosphere. C,mpared to traditional methods, visible-near infrared reflectance spectroscopy has advantages such as low-cost, nondestructive and rapid analytical accuracy for the assessment of SOC. And the use of hyperspectral remote sensing is potentially an effective alternative to predict soil organic carbon content. However, the accuracy of the method depends on several factors including SOC concentration range, parent materials, soil moisture, clay, particle size and iron oxides. Moreover the natural surface conditions （ vegetation, moisture, roughness or stoniness） and atmospheric and illumination conditions can have a major influence on the calibration results when using field or image spectra to assess the content of soil organic carbon. The future studies should focus on in-depth research into the influencing factors, the use of hyperspectral remote sensing image, stability of the calibration and the collection of spectral data through soil profiles.
出处
《亚热带资源与环境学报》
2009年第1期78-87,共10页
Journal of Subtropical Resources and Environment
基金
教育部重点科研课题(JA04166)
关键词
土壤有机碳
光谱反射率
影响因素
高光谱遥感
soil organic carbon
spectral reflectance
influencing factors
hyperspectral remote sensing
