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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Evaluating Full Polarimetric C- and L-Band Data for Mapping Wetland Conditions in a Semi-Arid Environment in Central Spain
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Evaluating Full Polarimetric C- and L-Band Data for Mapping Wetland Conditions in a Semi-Arid Environment in Central Spain

机译:在西班牙中部半干旱环境中评估全极化C波段和L波段数据以绘制湿地条件

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摘要

Semi-arid wetlands are very dynamic ecosystems as the different characteristics (areal extension, water depth and salinity, seasonal flooding, vegetation and fauna) that define them vary greatly in the short and long term. The objective of this work is to evaluate the contributions of Radarsat-2 (C-band) and ALOS PALSAR (L-band) full polarimetric data in characterizing and mapping wetland conditions in a semi-arid environment in Central Spain. The National Park of Las Tablas de Daimiel was selected as a test site because of on-going work in this wetland area which has produced ample information on the distribution of vegetation communities, soil types and wetland conditions obtained from spaceborne, airborne and ground based optical multispectral and hyperspectral sensors. The goal is to understand and evaluate the complementary information derived from multipolarized synthetic aperture radar (SAR) data not otherwise obtainable from optical sensors. Results suggest that the multipolarized SAR data enables a better separation of the vegetation structure and fragmentation than with the optical data. Optical sensors have the general advantage of improved spectral characterization of vegetation and soil types but are less effective in characterizing vegetation/soil morphology and detecting moisture conditions under dense canopies. Therefore, a combination of the radar and optical data can be very useful in assessing the wetland degradation status, so that appropriate measures can be designed for a sustainable management of the wetland. However, before such an integrated approach can be implemented, a thorough understanding of the type and nature of information derived from multi-frequency and multipolarized SAR data is needed.
机译:半干旱湿地是非常动态的生态系统,因为定义它们的不同特征(区域扩展,水深和盐度,季节性洪水,植被和动物群)在短期和长期都有很大差异。这项工作的目的是评估Radarsat-2(C波段)和ALOS PALSAR(L波段)全极化数据在西班牙中部半干旱环境中表征和测绘湿地条件方面的贡献。之所以选择Las Tablas de Daimiel国家公园作为测试地点,是因为该湿地地区正在进行的工作,该工作已经从星载,机载和地面光学系统获得了大量有关植被群落分布,土壤类型和湿地条件的信息。多光谱和高光谱传感器。目的是了解和评估从多极化合成孔径雷达(SAR)数据获得的补充信息,而这些数据是无法从光学传感器获得的。结果表明,与光学数据相比,多极化SAR数据能够更好地分离植被结构和碎片。光学传感器具有改善植被和土壤类型的光谱特征的总体优势,但在表征植被/土壤形态和检测茂密冠层下的水分条件方面效果较差。因此,雷达和光学数据的结合对于评估湿地退化状态非常有用,因此可以设计适当的措施来可持续管理湿地。但是,在可以实施这种集成方法之前,需要对从多频和多极化SAR数据中得出的信息的类型和性质有透彻的了解。

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