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A Method for Monitoring Hydrological Conditions Beneath Herbaceous Wetlands Using Multi-temporal Alos Palsar Coherence Data : Volume Xl-7/W4, Issue 1 (26/06/2015)

By Zhang, M.

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Book Id: WPLBN0004016077
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: A Method for Monitoring Hydrological Conditions Beneath Herbaceous Wetlands Using Multi-temporal Alos Palsar Coherence Data : Volume Xl-7/W4, Issue 1 (26/06/2015)  
Author: Zhang, M.
Volume: Vol. XL-7/W4, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Historic
Publication Date:
2015
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Zeng, J., Zhang, M., Zhou, J., Li, Z., & Tian, B. (2015). A Method for Monitoring Hydrological Conditions Beneath Herbaceous Wetlands Using Multi-temporal Alos Palsar Coherence Data : Volume Xl-7/W4, Issue 1 (26/06/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, No. 9 Dengzhuang South Road, Beijing 100094, China. Reed marshes, the world’s most widespread type of wetland vegetation, are undergoing major changes as a result of climate changes and human activities. The presence or absence of water in reed marshes has a significant impact on the whole ecosystem and remains a key indicator to identify the effective area of a wetland and help estimate the degree of degeneration. Past studies have demonstrated the use of interferometric synthetic aperture radar (InSAR) to map water-level changes for flooded reeds. However, the identification of the different hydrological states of reed marshes is often poorly understood. The analysis given in this paper shows that L-band interferometric coherence is very sensitive to the water surface conditions beneath reed marshes and so can be used as classifier. A method based on a statistical analysis of the coherence distributions for wet and dry reeds using InSAR pairs was, therefore, investigated in this study. The experimental results were validated by in-situ data and showed very good agreement. This is the first time that information about the water cover under herbaceous wetlands has been derived using interferometric coherence values. This method can also effectively and easily be applied to monitor the hydrological conditions beneath other herbaceous wetlands.

Summary
A method for monitoring hydrological conditions beneath herbaceous wetlands using multi-temporal ALOS PALSAR coherence data

 

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