| 滨海盐土遥感监测的发展趋势 |
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| 引用本文： | 林晨,吴绍华,周生路.滨海盐土遥感监测的发展趋势[J].土壤学报,2011,48(5):1072-1079. |
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| 作者姓名： | 林晨 吴绍华 周生路 |
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| 作者单位： | 1. 南京大学地理与海洋科学学院,南京210093;土壤与农业可持续发展国家重点实验室(中国科学院南京土壤研究所),南京210008
2. 南京大学地理与海洋科学学院,南京,210093 |
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| 基金项目： | 国家自然科学基金项目（面上项目，重点项目，重大项目）;中国科学院重点资助项目 |
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| 摘 要： | 重点阐述国内外滨海盐土遥感监测内容与监测技术的进展,指出尚存问题以及未来的发展趋势。近年来滨海盐土遥感监测,在空间识别上,从基于影像光谱及色相特征的目视解译向计算机自动判读逐渐演变;在盐土性质反演上,由离散样点的统计建模逐渐扩展为空间连续的智能反演;在盐渍化程度监测方面,正由单纯通过土壤理化性质表征盐渍化程度向滨海生态系统的综合监测方向发展。滨海盐土遥感监测深受水分、植被等因素的影响,还存在较大的不确定性,在反演精度、模型通用性以及数据管理上仍有很大发展空间。滨海盐土遥感监测正向时效性、动态性、智能化方向发展,建立多尺度空间的滨海盐土质量通用反演模型以及有效的海量盐土遥感数据管理机制将是未来研究发展的必然趋势。
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| 关 键 词： | 滨海盐土 遥感 反演 盐渍化 监测 |
| 收稿时间： | 9/5/2010 3:07:55 PM |
| 修稿时间： | 1/5/2011 3:22:02 PM |
Development of remote-sensing monitoring of coastal saline soil |
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| Lin Chen.Development of remote-sensing monitoring of coastal saline soil[J].Acta Pedologica Sinica,2011,48(5):1072-1079. |
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| Authors: | Lin Chen |
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| Affiliation: | School of Geographic and Oceanographic Sciences, Nanjing University |
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| Abstract: | This review elaborates contents of remote-sensing monitoring of coastal saline soil and advancement in monitoring technology at home and abroad, while pointing out existing problems and future development trendr. In recent years, the technology of space identification in remote-sensing monitoring of coastal saline soil has gradually evolved from visual interpretation based on image spectrum and hue characteristics towards computer automated interpretation; in inverting coastal saline soil properties, from statistical modeling based on discrete samples to spatially continuous intelligent inversion; in monitoring salinization degree, from mere characterization of salinization degree with soil physical and chemical properties to monitoring of overall coastal ecosystems. However, remote-sensing of the coastal saline soil is deeply affected by factors, like soil moisture, vegetation, etc., and subject to large spatial uncertainty. Therefore, the research still has much room for development in inversion accuracy, model universality and data management. To sum up, the remote-sensing monitoring of coastal saline soil is developing towards of timeliness, dynamicity and intelligentization. It is an inevitable trend of the research in this field in future to build up a multi-scaled general model for inversion of quality of coastal saline soil and efficient mechanism for management of mega-store of saline soil remote-sensing data. |
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| Keywords: | Coastal saline soil Remote sensing Inversion Soil salinity Monitoring |
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