Anterior|Siguiente

Synthetic aperture radar and inversion of aboveground biomass in forested environments: balancing curiosity- and application-driven acts

  • role： First author第一作者
  • Affiliation：

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China

  • Email：wangy2012@uestc.edu.cn
  • Introduction：王勇，研究方向为微波遥感地物反向散射建模、森林物理参数反演、森林碳储量以及变化、湿地甲烷排放及变化、合成孔径雷达原始数据成像、合成孔径雷达技术和合成孔径干涉雷达技术、微波和光学遥感图像处理与分析等。E-mail：wangy2012@uestc.edu.cn 　　本文为王勇在2019年第四届全国定量遥感学术论坛的特邀报告
WANG Yong

resumen

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.

palabra clave

radar backscatter;synthetic aperture radar (SAR);Interferometric SAR (InSAR);aboveground biomass (AGB) of tree;forest stand;global AGB of forests

References

  1. 1.
    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
  2. 2.
    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
  3. 3.
    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
  4. 4.
    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.
  5. 5.
    Treuhaft, R. N., and P. R. Siqueira 2000. Vertical Structure of Vegetated Land Surfaces from Interferometric and Polarimetric Data. Radio Science, 35: 141–177
  6. 6.
    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
  7. 7.
    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
  8. 8.
    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
  9. 9.
    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
  10. 10.
    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.
  11. 11.
    UN FAO (Food and Agriculture Organization of United Nations). 2018. The State of the World’s Forests: Forest Pathways to Sustainable Development. 118 p.

Leer el texto completo

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website