A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands
| Autor: | Arturo S. Leon, Assefa M. Melesse, Vivek Verma, Zeda Yin, Linlong Bian |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Topographic Wetness Index
supervised classification LiDAR-derived DEM NDVI Geography Planning and Development Wetland Aquatic Science Biochemistry Normalized Difference Vegetation Index Cohen's kappa Flood mitigation TWI Digital elevation model TD201-500 Water Science and Technology Remote sensing Ground truth geography geography.geographical_feature_category Water supply for domestic and industrial purposes NDWI Hydraulic engineering Lidar deterministic topographic approach Environmental science TC1-978 wetland delineation |
| Zdroj: | Water Volume 13 Issue 18 Water, Vol 13, Iss 2487, p 2487 (2021) |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w13182487 |
| Popis: | Wetlands play a significant role in flood mitigation. Remote sensing technologies as an efficient and accurate approach have been widely applied to delineate wetlands. Supervised classification is conventionally applied for remote sensing technologies to improve the wetland delineation accuracy. However, performing supervised classification requires preparing the training data, which is also considered time-consuming and prone to human mistakes. This paper presents a deterministic topographic wetland index to delineate wetland inundation areas without performing supervised classification. The classic methods such as Normalized Difference Vegetation Index, Normalized Difference Water Index, and Topographic Wetness Index were chosen to compare with the proposed deterministic topographic method on wetland delineation accuracy. The ground truth sample points validated by Google satellite imageries from four different years were used for the assessment of the delineation overall accuracy. The results show that the proposed deterministic topographic wetland index has the highest overall accuracy (98.90%) and Kappa coefficient (0.641) among the selected approaches in this study. The findings of this paper will provide an alternative approach for delineating wetlands rapidly by using solely the LiDAR-derived Digital Elevation Model. |
| Databáze: | OpenAIRE |
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