Feasibility of L-Band Sharpening With C-Band Using SMAP and AMSR Radiometry Data for Future Application to CIMR

IF 8.6 1区 地球科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Geoscience and Remote Sensing Pub Date : 2025-01-31 DOI:10.1109/TGRS.2025.3533425
Michelle S. Zhang;Faisal AlNasser;María Piles;Dara Entekhabi
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Abstract

Passive microwave remote sensing can provide direct and frequent measurements for the estimation of surface soil moisture globally. The future Copernicus Imaging Microwave Radiometer (CIMR) mission is projected to operate at five spectral bands, including L- and C-bands, providing a unique capability to observe surface soil moisture at multiple spatial resolutions. In this work, we investigate the potential to improve the coarser resolution of future CIMR L-band (<60 km) using finer resolution C-band (<15 km) by exploiting the overlap of band footprints. We use existing brightness temperature (TB) data from the Soil Moisture Active Passive (SMAP) mission and Advanced Microwave Scanning Radiometer 2 (AMSR2) mission to investigate L- and C-bands multiresolution information content at the global scale and assess the use of C-band information for L-band sharpening with a linear regression model. Comparing the performance of sharpened with true L-band TB, we find global improvements in systematic offset errors and time-varying random errors, especially along coastlines and over diverse vegetation land cover. Results support the conclusion that the C-band can capture information in the spatial enhancement of the L-band, demonstrating the value of future CIMR multifrequency observations to generate soil moisture products at both climatic and meteorological scales.
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基于SMAP和AMSR辐射测量数据的c波段l波段锐化在未来CIMR应用中的可行性
被动微波遥感可以为全球地表土壤湿度的估算提供直接和频繁的测量。未来的哥白尼成像微波辐射计(CIMR)任务预计将在五个光谱波段工作,包括L波段和c波段,提供在多个空间分辨率下观测地表土壤湿度的独特能力。在这项工作中,我们研究了利用波段足迹的重叠,利用更精细的c波段(<15公里)来提高未来CIMR l波段(<60公里)的粗分辨率的潜力。利用土壤湿度主被动探测任务(SMAP)和先进微波扫描辐射计2 (AMSR2)任务的现有亮度温度(TB)数据,在全球尺度上研究L波段和c波段的多分辨率信息含量,并利用线性回归模型评估c波段信息在L波段锐化中的应用。将锐化与真l波段TB的性能进行比较,我们发现系统偏移误差和时变随机误差在全球范围内有所改善,特别是在海岸线和不同植被覆盖地区。结果支持了c波段在l波段的空间增强中可以捕获信息的结论,表明了未来CIMR多频观测在气候和气象尺度上产生土壤水分产品的价值。
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来源期刊
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing 工程技术-地球化学与地球物理
CiteScore
11.50
自引率
28.00%
发文量
1912
审稿时长
4.0 months
期刊介绍: IEEE Transactions on Geoscience and Remote Sensing (TGRS) is a monthly publication that focuses on the theory, concepts, and techniques of science and engineering as applied to sensing the land, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
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