Climate Change Data Portal
| DOI | 10.1016/j.rse.2019.111586 |
| Comprehensive analysis of alternative downscaled soil moisture products | |
| Sabaghy S.; Walker J.P.; Renzullo L.J.; Akbar R.; Chan S.; Chaubell J.; Das N.; Dunbar R.S.; Entekhabi D.; Gevaert A.; Jackson T.J.; Loew A.; Merlin O.; Moghaddam M.; Peng J.; Peng J.; Piepmeier J.; Rüdiger C.; Stefan V.; Wu X.; Ye N.; Yueh S. | |
| 发表日期 | 2020 |
| ISSN | 00344257 |
| 卷号 | 239 |
| 英文摘要 | Recent advances in L-band passive microwave remote sensing provide an unprecedented opportunity to monitor soil moisture at ~40 km spatial resolution around the globe. Nevertheless, retrieval of the accurate high spatial resolution soil moisture maps that are required to satisfy hydro-meteorological and agricultural applications remains a challenge. Currently, a variety of downscaling, otherwise known as disaggregation techniques have been proposed as the solution to disaggregate the coarse passive microwave soil moisture into high-to-medium resolutions. These techniques take advantage of the strengths of both the passive microwave observations of soil moisture having low spatial resolution and the spatially detailed information on land surface features that either influence or represent soil moisture variability. However, such techniques have typically been developed and tested individually under differing weather and climate conditions, meaning that there is no clear guidance on which technique performs the best. Consequently, this paper presents a quantitative assessment of the existing radar-, optical-, radiometer-, and oversampling-based downscaling techniques using a singular extensive data set collected specifically for that purpose, being the Soil Moisture Active Passive Experiment (SMAPEx)-4 and -5 airborne field campaigns, and the OzNet in situ stations, to determine the relative strengths and weaknesses of their performances. The oversampling-based soil moisture product best captured the temporal and spatial variability of the reference soil moisture overall, though the radar-based products had a better temporal agreement with airborne soil moisture during the short SMAPEx-4 period. Moreover, the difference between temporal analysis of products against in situ and airborne soil moisture reference data sets pointed to the fact that relying on in situ measurements alone is not appropriate for validation of spatially enhanced soil moisture maps. © 2019 Elsevier Inc. |
| 英文关键词 | Disaggregation; Downscaling; High resolution; Inter-comparison; SMAP; SMAPEx; SMOS; Soil moisture |
| 语种 | 英语 |
| scopus关键词 | Image resolution; Moisture control; Radar signal processing; Radar stations; Remote sensing; Soil moisture; Disaggregation; Down-scaling; High resolution; Intercomparisons; SMAP; SMAPEx; SMOS; Soil surveys; agricultural application; downscaling; hydrometeorology; in situ measurement; land surface; remote sensing; soil moisture; spatial resolution; temporal analysis |
| 来源期刊 | Remote Sensing of Environment
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179453 |
| 作者单位 | Department of Civil Engineering, Monash UniversityVIC 3800, Australia; Fenner School of Environment and Society, The Australian National University, Canberra, Australia; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States; Earth and Climate Cluster, Department of Earth Sciences, VU Amsterdam, Amsterdam, Netherlands; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; U.S. Department of Agriculture ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, United States; Centre d'Etudes Spatiales de la Biosphère (CESBIO), 18 Avenue, Edouard Belin, bpi 2801, Toulouse, 31401, France; Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, United States; Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD 20771, United States; Universities Space Research Association, Columbia, MD, United States; Department of Geography, Universi... |
| 推荐引用方式 GB/T 7714 | Sabaghy S.,Walker J.P.,Renzullo L.J.,et al. Comprehensive analysis of alternative downscaled soil moisture products[J],2020,239. |
| APA | Sabaghy S..,Walker J.P..,Renzullo L.J..,Akbar R..,Chan S..,...&Yueh S..(2020).Comprehensive analysis of alternative downscaled soil moisture products.Remote Sensing of Environment,239. |
| MLA | Sabaghy S.,et al."Comprehensive analysis of alternative downscaled soil moisture products".Remote Sensing of Environment 239(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
