• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Asian conference on remote sensingACRS >MAPPING SOIL WETNESS INDEX TO ASSIST FIELD ACID SULFATE SOIL SURVEY USING MULTI-RESOLUTION REMOTELY SENSED DATA
【24h】

MAPPING SOIL WETNESS INDEX TO ASSIST FIELD ACID SULFATE SOIL SURVEY USING MULTI-RESOLUTION REMOTELY SENSED DATA

机译：采用多分辨率传感数据绘制土壤湿度指数以促进野生酸性硫酸盐土壤调查

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Coastal Acid Sulfate Soil (ASS) mapping has used remote sensing imagery to identify landscape units that represent the ASS probability of occurrence. However, there have not been many studies which examined the relationship between the ASS properties and their spectral characteristics on the medium-spatial resolution remotely sensed data. Many studies in this field have used hyper-spectral imagery supported by detailed soil laboratory analysis for interpreting and classifying soil properties, which is not always possible in developing and wet tropical countries such as Indonesia. Hence, this study aims to identify the consistency between several physical and chemical properties of ASS and the spectral responses from multi-resolution remote sensing data. This study, therefore, has only made use of the simplest information obtained from the field to support the remote sensing image-based ASS identification and classification. Medium-spatial resolution satellite imagery of Bengawan Estuary in Java, Indonesia, ALOS was used as a basis for geomorphic features extraction. The method combined two approaches of distribution of ASS based on landscape unit, and spectral radiance analysis. The soil properties were derived from field and laboratory analysis based on the geomorphic unit. The remotely sensed data used included visual interpretation elements and pixel-based spectral radiance analysis. This study showed that there were statistically significant correlations between the soil properties and the derived spatial and spectral information which could form the basis for ASS identification. The results provide significant contribution in the rapid assessment of ASS mapping for sustainable coastal resources management.
机译：沿海酸性硫酸盐土（ASS）映射使用了遥感图像来识别代表ass发生概率的景观单元。然而，还没有许多研究，其研究了ass属性与其光谱特性之间的关系，远程感测到的中等空间分辨率。该领域的许多研究使用了通过详细的土壤实验室分析支持的超光谱图像来解释和分类土壤属性，这在开发和潮湿的热带国家（如印度尼西亚）并不总是可能。因此，本研究旨在识别来自多分辨率遥感数据的屁股和光谱响应的若干物理和化学性质之间的一致性。因此，本研究仅利用了从现场获得的最简单信息来支持基于遥感的基于图像的ass识别和分类。在爪哇，印度尼西亚的中间空间分辨率的卫星图像，Alos被用作地貌特征提取的基础。该方法基于景观单元的屁股分布两种分布方法，以及光谱辐射分析。基于地貌单元的场和实验室分析来源于土壤性质。使用的远程感测数据包括视觉解释元素和基于像素的光谱辐射分析。该研究表明，土壤性质与衍生的空间和光谱信息之间存在统计学上显着的相关性，其可以形成ass鉴定的基础。结果为可持续沿海资源管理的屁股绘图的快速评估提供了重大贡献。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号