Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China.

Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China.
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DOI:
10.3390/s8117035
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发表时间:
2008-11-07
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Vidal A
Vidal A
中科院分区:
其他
文献类型:
--
作者:
Wu J;Vincent B;Yang J;Bouarfa S;Vidal A

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本研究利用遥感影像资料描述了内蒙古河套灌区土壤盐分变化的历史,旨在将这些变化与土地和水资源管理措施联系起来,为盐碱化控制提供借鉴。大多数数据来自1973年、1977年、1988年、1991年、1996年、2001年和2006年拍摄的LANDSAT卫星图像。在这些年中,受盐影响的地区使用正常的监督分类方法进行检测。使用非监督方法从NVDI(归一化差异植被指数)值检测相应的作物面积。使用田间样本和农业统计数据来估计分类的准确性。利用历史资料分析了土壤盐分变化与水土管理措施之间的关系。结果表明:(1)遥感监测土壤盐分的总体准确率为90.2%,监测耕地面积的总体准确率为98%;(2)排水系统的安装/改造确实有助于控制盐分;(3)河套灌区耕地比例低有助于控制盐分。这些研究结果表明,遥感是探测土壤含盐量的有用工具,在评价和改进土地和水管理做法方面具有潜力。
This study used archived remote sensing images to depict the history of changes in soil salinity in the Hetao Irrigation District in Inner Mongolia, China, with the purpose of linking these changes with land and water management practices and to draw lessons for salinity control. Most data came from LANDSAT satellite images taken in 1973, 1977, 1988, 1991, 1996, 2001, and 2006. In these years salt-affected areas were detected using a normal supervised classification method. Corresponding cropped areas were detected from NVDI (Normalized Difference Vegetation Index) values using an unsupervised method. Field samples and agricultural statistics were used to estimate the accuracy of the classification. Historical data concerning irrigation/drainage and the groundwater table were used to analyze the relation between changes in soil salinity and land and water management practices. Results showed that: (1) the overall accuracy of remote sensing in detecting soil salinity was 90.2%, and in detecting cropped area, 98%; (2) the installation/innovation of the drainage system did help to control salinity; and (3) a low ratio of cropped land helped control salinity in the Hetao Irrigation District. These findings suggest that remote sensing is a useful tool to detect soil salinity and has potential in evaluating and improving land and water management practices.