Paper
24 October 2013 Wetland mapping and flood extent monitoring using optical and radar remotely sensed data and ancillary topographical data in the Zhalong National Natural Reserve, China
Xiaodong Na, Shuying Zang, Yuhong Zhang, Lei Liu
Author Affiliations +
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.
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Xiaodong Na, Shuying Zang, Yuhong Zhang, and Lei Liu "Wetland mapping and flood extent monitoring using optical and radar remotely sensed data and ancillary topographical data in the Zhalong National Natural Reserve, China", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88931M (24 October 2013); https://doi.org/10.1117/12.2029117
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Cited by 4 scholarly publications.
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KEYWORDS
Floods

Radar

Vegetation

Earth observing sensors

Landsat

Backscatter

Associative arrays

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