SMAPVEX19-22期间温带森林土壤表面粗糙度研究

IF 6.3 2区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Pub Date : 2025-01-15 DOI:10.1109/JSTARS.2025.3530710
Victoria A. Walker;Michael H. Cosh;William A. White;Andreas Colliander;Victoria R. Kelly;Paul Siqueira
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引用次数: 0

摘要

在2019-2022年土壤水分主被动验证试验期间,收集了多个森林域的数据,以提高对茂密植被下土壤水分反演的理解。土壤表面粗糙度是2022年春夏季密集作业期间采样的许多土壤和植被参数之一,因为它对检索精度很重要(与其他特征相同的光滑土壤相比,粗糙的土壤具有更高的发射率,对土壤水分的敏感性降低)。在位于美国东北部的两个温带森林域之间的24个地点共收集了410个有效的针板样条。另外,在选定的地点测试了两种实验方法(手持式激光雷达和超声波机器人)。去除地形坡度后,发现森林地面相对光滑,马萨诸塞州中部区域的平均均数高度为$9+-1 \,{\mathrm{mm}}$,纽约州米尔布鲁克区域的平均均数高度为$6+-1 \,{\mathrm{mm}}$。这对应于模型粗糙度参数$h$的估计值,分别为0.31和0.16,这在可接受的查找表值范围内,但比最近在森林上检索$h$的研究所建议的更平滑。
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Soil Surface Roughness in Temperate Forest During SMAPVEX19-22
Data were collected across multiple forested domains during the Soil Moisture Active Passive Validation Experiment 2019–2022 to improve understanding of soil moisture retrievals under dense vegetation. Soil surface roughness was one of many soil and vegetation parameters sampled during intensive operations periods during the spring and summer of 2022 because of its importance to retrieval accuracy (rougher soils have a higher emissivity and reduced sensitivity to soil moisture compared to smooth soils with otherwise identical characteristics). A total of 410 valid pinboard transects were collected across 24 sites between the two temperate forest domains located in the northeastern United States. Two experimental methods (handheld lidar and ultrasonic robot) were additionally tested at select sites. After removal of topographic slope, the forest floor was found to be relatively smooth with average rms heights of $9+-1 \,{\mathrm{mm}}$ in the central Massachusetts domain and $6+-1 \,{\mathrm{mm}}$ in the Millbrook, New York domain. These correspond to estimates of the model roughness parameter, $h$, of 0.31 and 0.16, respectively, which is within the range of accepted lookup table values but smoother than suggested by recent studies retrieving $h$ over forests.
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来源期刊
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.
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