Research progress on the cooperative inversion of soil moisture using optical and SAR remote sensing
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摘要: 土壤水分在农业生产应用中有着不可替代的作用,农业用水、估产、旱情监测等都与土壤水分有着密不可分的关系,因此进行土壤水分变化的监测具有重要意义。目前遥感技术是进行大区域土壤水分变化监测的有效手段。光学遥感对地表植被组份信息敏感,微波可穿透植被获取植被下土壤水分信息,但合成孔径雷达(synthetic aperture Radar,SAR)的后向散射对土壤水分变化的敏感性受冠层影响较大。在植被覆盖区,微波遥感会受到地表粗糙度和植被的双重影响,因此采用光学和SAR遥感协同的策略能更好地去除植被和粗糙度影响,提高土壤水分的反演精度。总结了目前光学与SAR遥感协同反演土壤水分研究中常用的遥感模型和反演方法,并对研究中存在的困难与未来发展进行了总结与展望。Abstract: Soil moisture (SM) plays an irreplaceable role in agricultural production, and agricultural water use, yield estimation, and drought monitoring are all closely related to SM. Therefore, it is of great significance to monitor the changes in SM. At present, the remote sensing technique is an effective tool for the monitoring of the changes in SM in large areas. Optical remote sensing is sensitive to the composition of surface vegetation, while microwaves can penetrate vegetation to obtain the information of SM under vegetation. Meanwhile, the sensitivity of synthetic aperture Radar (SAR) backscattering to the changes in SM is greatly affected by the vegetation canopy. In areas covered by vegetation, microwave remote sensing will be affected by both surface roughness and vegetation. Therefore, the joint application of optical and SAR remote sensing can well remove the impacts of vegetation and surface roughness, thus improving the inversion accuracy of SM. This paper summarizes the remote sensing models and retrieval methods commonly used in the research on the cooperative inversion of SM using optical and SAR remote sensing. Meanwhile, it proposes the difficulties in the research and the future development of the cooperative inversion.
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Key words:
- soil moisture /
- optical remote sensing /
- SAR /
- vegetation canopy /
- roughness /
- scattering model /
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