A review on biomass estimation methods using synthetic aperture radar data.
A review on biomass estimation methods using synthetic aperture radar data.
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发表时间：
2011
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通讯作者：
Nafiseh Ghasemi;M. Sahebi;Ali Mohammadzadeh
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作者：
Nafiseh Ghasemi;M. Sahebi;Ali Mohammadzadeh
由于森林在全球碳循环中的重要作用，有必要对这些地区给予更多的关注。在森林生物物理参数中，生物量估算作为对生态系统影响最大的因素是最重要的。由于传统森林资源清查技术在生物量测量方面的局限性，近十年来，遥感技术在生物量估算中得到了广泛的应用。在结构复杂、物种多样、植被覆盖多层的地区，由于光学图像的局限性，利用微波图像将是唯一的解决方案。根据最近关于微波图像生物量估算的研究，干涉测量技术获得了最好的结果，但仍然是有限的，并没有在所有森林类型中进行测试。由于利用微波图像进行生物量估算有其自身的问题，今后的研究需要重点开发能够处理多源数据的新方法，识别和减少生物量估算中的不确定性源。
Due to the important role of forests in the global carbon cycle, it's necessary to pay more attention to these regions. Among forests biophysical parameters, Biomass estimation as the most influencing factor on the ecosystem is the most important. Due to limitations of traditional forest inventory technique to measure biomass, remote sensing has been widely used for biomass estimation in the past decade. In areas with complex structure, various species and multilayer vegetation cover, using microwave images would be the only solution because of the limitation of optical images. According to recent studies about biomass estimation with microwave images, the interferometry technique yields the best results but still is limited and not tested in all forest types. Because using microwave images has its own problems, focusing on the development of the new approaches which can handle multi source data, identify and decrease uncertainty sources in biomass estimation is required in future studies.