| 黄河三角洲盐碱地遥感调查研究 |
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| 引用本文： | 关元秀,刘高焕,刘庆生,叶庆华.黄河三角洲盐碱地遥感调查研究[J].遥感学报,2001,5(1):46-52. |
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| 作者姓名： | 关元秀 刘高焕 刘庆生 叶庆华 |
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| 作者单位： | 中国科学院 |
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| 基金项目： | 资源与环境信息系统国家重点实验室基金课题。 |
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| 摘 要： | 土壤盐渍化是干旱、半干旱农业的主要的土地退化问题，有关盐碱地的性质、范围、面积、地理分布及盐渍程度等方面的实时、可靠的信息，对治理盐碱地防止其进一步退化和进行农业可持续发展规划至关重要，提出运用Landsat TM遥感数据来获取这些信息。基于地物光谱特征、野外调查建立的地物与影像之间的关系以及土壤和地下水监测数据的辅助，将常规监督分类法和改进的图像分类法两种方法相结合，提取了不同盐渍程度的盐碱地，即光板地14477．67hm^2，重度盐碱地52086．33hm^2，中度盐碱地86699．61hm^2，轻度盐碱地215001.7hm^2，占黄河三角洲总面积的近二分之一（47．4％），除此之外，水体，滩涂，非盐碱地等也作了区分。
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| 关 键 词： | 遥感 黄河三角洲 盐碱地 土壤盐渍化 遥感数据 调查 农业 可持续发展 |
| 文章编号： | 1007-4619 (2001) 01-0046_07 |
| 收稿时间： | 2000/6/19 0:00:00 |
| 修稿时间： | 2000年6月19日 |
The Study of Salt-affected Soils in the Yellow River Delta Based on Remote Sensing |
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| GUAN Yuan-xiu,LIU Gao-huan,LIU Qing-sheng and YE Qing-hua.The Study of Salt-affected Soils in the Yellow River Delta Based on Remote Sensing[J].Journal of Remote Sensing,2001,5(1):46-52. |
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| Authors: | GUAN Yuan-xiu LIU Gao-huan LIU Qing-sheng and YE Qing-hua |
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| Institution: | The State Key Laboratory of Resources and Environment Information Sytem,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;The State Key Laboratory of Resources and Environment Information Sytem,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;The State Key Laboratory of Resources and Environment Information Sytem,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;The State Key Laboratory of Resources and Environment Information Sytem,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China |
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| Abstract: | Salinization is the major land degradation processes in arid and semi-arid regions. In order to prevent further deterioration of salt-affected soils and make agriculture development in a sustainable way, up-to-date and reliable information on the nature, extent, magnitude and spatial distribution of these soils is of paramount importance. This study was carried out to extract such information using Landsat TM data. On the basis of spectral response pattern of salt-affected soils, the relationship between salt-affected soil and image characteristics established during the field investigation and soil sample data, four categories of salt-affected land were delineated, namely, extremely saline (14477.67 hm\ 2), strongly saline (52086.33hm\ 2), moderately saline (86699.61hm\ 2), and lightly saline (2150017hm\ 2). Besides these salt-affected soils, other categories such as water bodies, tidal flat, forest, grass land, reed beds, residential area were also mapped. All these will provide scientific guideline for regional land amelioration and agriculture sustainable development. |
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| Keywords: | remote sensing the Yellow River Delta saline |
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