Global Elevation Inversion for Multiband Spaceborne Lidar: Predevelopment of Forest Canopy Height

IF 4.7 2区地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2024-12-25 DOI:10.1109/JSTARS.2024.3522330

Haowei Zhang;Wei Gong;Hu He;Yue Ma;Weibiao Chen;Jiqiao Liu;Ge Han;Zhiyu Gao;Wanqi Zhong;Xin Ma

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引用次数: 0

Abstract

Compared to single-band spaceborne lidars such as the global ecosystem dynamics investigation (GEDI) and Ice, Cloud and Land Elevation Satellite-2 (ICESat-2), multiband spaceborne lidars improve the detection of the canopy and ground. However, research on geographic elevation inversion with multi-band spaceborne lidars is limited, especially in developing algorithms that fully utilize multiple wavelengths for accurate measurements. A high-precision multiband fusion algorithm (MBFA) is proposed for global geographic elevation inversion for multiband spaceborne lidar of China's Daqi-1 satellite (DQ-1), enhancing the ranging capability of the 1572 nm channel by approximately 5 times. Compared with ICESat-2, GEDI and airborne scanning data in Finland, the geographic elevation results of MBFA showed average biases of –0.09, 0.1, and –0.95 m, with root mean square errors (RMSE) of 3.68, 4.51, and 7.70 m, respectively. Accurate forest canopy heights can be obtained using the decomposed signal approach in MBFA, which has been verified in Finland. The validation results (R² = 0.72, RMSE = 1.38 m, BIAS = –0.75 m) demonstrate the DQ-1 satellite's effectiveness in measuring canopy height. The results indicate that the MBFA model has potential for global forest canopy height extraction and carbon sink research. The proposed MBFA can also provide guide for high-precision inversion of future multiband lidar satellites.

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多波段星载激光雷达全球高程反演：森林冠层高度的预发展

与全球生态系统动力学调查（GEDI）和冰、云和陆地高程卫星-2 （ICESat-2）等单波段星载激光雷达相比，多波段星载激光雷达改善了对冠层和地面的探测。然而，利用多波段星载激光雷达进行地理高程反演的研究还很有限，特别是在开发充分利用多波长进行精确测量的算法方面。提出了一种用于中国“大旗一号”星载多波段激光雷达全球地理高程反演的高精度多波段融合算法（MBFA），将1572 nm信道的测距能力提高了约5倍。与ICESat-2、GEDI和芬兰航空扫描数据相比，MBFA的地理高程结果平均偏差为-0.09、0.1和-0.95 m，均方根误差（RMSE）分别为3.68、4.51和7.70 m。利用MBFA的分解信号方法可以获得准确的森林冠层高度，并在芬兰进行了验证。验证结果（R2 = 0.72, RMSE = 1.38 m, BIAS = -0.75 m）验证了DQ-1卫星测量冠层高度的有效性。结果表明，MBFA模型在全球森林冠层高度提取和碳汇研究中具有一定的应用潜力。该方法还可为未来多波段激光雷达卫星的高精度反演提供指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 地学-成像科学与照相技术

CiteScore

9.30

自引率

10.90%

发文量

563

审稿时长

4.7 months

期刊介绍： The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.