合成孔径雷达与森林地上生物量反演：好奇和实用的平衡

王勇

doi:10.11834/jrs.20199300

浏览量 : 0 下载量: 149 CSCD: 2 更多指标

PDF
导出
分享
收藏
专辑

合成孔径雷达与森林地上生物量反演：好奇和实用的平衡
Synthetic aperture radar and inversion of aboveground biomass in forested environments: balancing curiosity- and application-driven acts
2019年23卷第5期页码：809-812
纸质出版日期： 2019-9 ，

录用日期： 2019-8-13
DOI： 10.11834/jrs.20199300

扫描看全文

王勇. 2019. 合成孔径雷达与森林地上生物量反演：好奇和实用的平衡. 遥感学报, 23(5): 809–812

Wang Y. 2019. Synthetic aperture radar and inversion of aboveground biomass in forested environments: balancing curiosity- and application-driven acts. Journal of Remote Sensing, 23(5): 809–812
王勇. 2019. 合成孔径雷达与森林地上生物量反演：好奇和实用的平衡. 遥感学报, 23(5): 809–812 DOI： 10.11834/jrs.20199300.

Wang Y. 2019. Synthetic aperture radar and inversion of aboveground biomass in forested environments: balancing curiosity- and application-driven acts. Journal of Remote Sensing, 23(5): 809–812 DOI： 10.11834/jrs.20199300.

摘要

好奇是科学与技术发展、不断创新的源泉，实用则是科技发展、创新的结果服务人类、回馈社会，两者无不例外共同不断地驱动着合成孔径雷达技术和森林地上生物量反演的研究和发展。在全球气候急剧变化的今天，好奇和实用的平衡则更加至关重要。地球陆地表面森林面积大小和树木生物量是估算各国或者全球碳储量、排放及其变化的重要参数。好奇已产生的成功案例表明，树木生物量的反演与全极化、极化干涉、层析合成孔径雷达SAR(Synthetic Aperture Radar)技术及数据集紧密相关。反思过去，兼顾好奇和实用，对地上树木生物量的反演，建议将来考虑以下4种方案，即星载双波段SAR和异速方程(Allometric Equation)，星载激光雷达LiDAR(Light Detection and Ranging)和异速方程，第3个方案是前面两个方案的结合，方案4为探索和好奇性的。

Abstract

Curiosity is the source of science and technology development

and continuous innovation. Application shows how humanity and society benefit from the development and innovation of curiosity-driven. There is no exception that the development of Synthetic Aperture Radar (SAR) technology and inversion of aboveground biomass (AGB) in forested environments around the globe have been continuously driven by both curiosity and application. With the rapid climate change worldwide today

the balance of curiosity and application acts is of ever significance. The areal extents and AGB of trees in forested areas around the world are fundamental for the assessment of the global carbon stock and emission

and their variation. Of successful curiosity- and application-driven examples

the AGB estimation has been strongly coupled with quad-pol SAR

interferometric SAR (InSAR)

and tomography SAR (TomoSAR) techniques and their datasets. With the reflection of the past and the balance of curiosity and application

the following four approaches are recommended for the assessment of the global AGB in the future. They are the spaceborne dual-wavelength SAR systems and allometric equations

the light detection and ranging (LiDAR) and allometric equations

the combination of the first two approaches

and the exploratory one.

关键词

雷达后向散射合成孔径雷达干涉合成孔径雷达树木地上生物量林分全球植被地上生物量

Keywords

radar backscatterSynthetic Aperture Radar (SAR)Interferometric SAR (InSAR)aboveground biomass (AGB) of treeforest standglobal AGB of forests

references

Cloude, S. R., and K. P. Papathanassiou 2003. Three-stage Inversion Process for Polarimetric SAR Interferometry. IEE Proceedings - Radar, Sonar and Navigation, 150(3): 125–134

Dobson, C. M., F. T. Ulaby, T. Le Toan, A. Beaudoin, E. S. Kasischke 1992. Dependence of Radar Backscatter on Coniferous Forest Biomass. IEEE Transactions on GeoScience and Remote Sensing, 30(2): 412–415

Le Toan, T., A. Beaudoin, J. Riom, and D. Guyon 1992. Relating Forest Biomass to SAR data. IEEE Transactions on GeoScience and Remote Sensing, 30(2): 403–411

National Academies of Sciences, Engineering, and Medicine. 2015. A Strategy for Active Remote Sensing Amid Increased Demand for Radio Spectrum. Washington, DC: The National Academies Press.

Treuhaft, R. N., and P. R. Siqueira 2000. Vertical Structure of Vegetated Land Surfaces from Interferometric and Polarimetric Data. Radio Science, 35: 141–177

Wang, Y., F. W. Davis, J. M. Melack, Eric S. Kasischke, and Norman L. Christensen, Jr 1995. The Effects of Changes in Forest Biomass on Radar Backscatter from Tree Canopies. International Journal of Remote Sensing., 16(3): 503–513

Wang, Y., E. S. Kasischke, J. M. Melack, F. W. Davis, and N. L. Christensen, Jr 1994. The Effects of Changes in Loblolly Pine Biomass and Soil Moisture on ERS-1 SAR Backscatter. Remote Sensing of Environment., 49(1): 25–31

Wang, Y., and F. W. Davis 1997. Decomposition of Polarimetric Synthetic Aperture Radar Backscatter from Upland and Flooded Forests. International Journal of Remote Sensing., 18(6): 1319–1332

Wang, Y., and D. Dong 1997. Retrieving Forest Stand Parameters from SAR Backscatter Data Using a Neural Network Trained by a Canopy Backscatter Model. International Journal of Remote Sensing., 18(4): 981–989

UN ESA (United Nations Department of Economic and Social Affairs). 2019. Global Forest: Goals and Targets of the UN Strategic Plan for Forests 2030. 20 p.

UN FAO (Food and Agriculture Organization of United Nations). 2018. The State of the World’s Forests: Forest Pathways to Sustainable Development. 118 p.

文章被引用时，请邮件提醒。

提交

SARBuD 1.0：面向深度学习的GF-3 精细模式SAR建筑数据集

随机介质遮蔽条件下的雷达成像方法效能比较

余弦调相散射波干扰对SAR双通道对消干扰抑制的影响

激光雷达森林参数反演研究进展