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Proceedings Paper

Wetland mapping and flood extent monitoring using optical and radar remotely sensed data and ancillary topographical data in the Zhalong National Natural Reserve, China
Author(s): Xiaodong Na; Shuying Zang; Yuhong Zhang; Lei Liu
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Paper Abstract

Information regarding the spatial extent and inundation state in the internationally important Wetlands as designated by Ramsar Convention is important to a series of research questions including wetland ecosystem functioning and services, water management and habitat suitability assessment. This study develops an expedient digital mapping technique using optical remotely sensed imagery of the Landsat Thematic Mapper (TM), ENVISAT ASAR active radar C-band imagery, and topographical indices derived from topographic maps. All data inputs were resampled to a common 30 m resolution grid. An ensemble classifiers based on trees (random forest) procedure was employed to produce a final map of per-grid cell wetland probability map. This study also provides a general approach to delineate the extent of flooding builds upon documented relationships between fields measured inundation state and SAR data response on each vegetation types. The current study indicated that multi-source data (i.e. optical, radar and topography) are useful in the characterization of freshwater marshes and their inundation state. This analysis constitutes a necessary step towards improved herbaceous wetland monitoring and provides ecologists and managers with vital information that is related to ecology and hydrology in a wetland area.

Paper Details

Date Published: 24 October 2013
PDF: 7 pages
Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931M (24 October 2013); doi: 10.1117/12.2029117
Show Author Affiliations
Xiaodong Na, Harbin Normal Univ. (China)
Shuying Zang, Harbin Normal Univ. (China)
Yuhong Zhang, Harbin Normal Univ. (China)
Lei Liu, Harbin Normal Univ. (China)


Published in SPIE Proceedings Vol. 8893:
Earth Resources and Environmental Remote Sensing/GIS Applications IV
Ulrich Michel; Daniel L. Civco; Karsten Schulz; Manfred Ehlers; Konstantinos G. Nikolakopoulos, Editor(s)

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