A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands
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. How...
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doaj-20d57461ec8247509726257dc0f7bb852021-09-26T01:38:34ZengMDPI AGWater2073-44412021-09-01132487248710.3390/w13182487A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water WetlandsLinlong Bian0Assefa M. Melesse1Arturo S. Leon2Vivek Verma3Zeda Yin4Department of Civil and Environmental Engineering, Florida International University, Miami, FL 33199, USADepartment of Earth and Environment, Florida International University, Miami, FL 33199, USADepartment of Civil and Environmental Engineering, Florida International University, Miami, FL 33199, USADepartment of Civil and Environmental Engineering, Florida International University, Miami, FL 33199, USADepartment of Civil and Environmental Engineering, Florida International University, Miami, FL 33199, USAWetlands 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.https://www.mdpi.com/2073-4441/13/18/2487wetland delineationsupervised classificationLiDAR-derived DEMdeterministic topographic approachTWINDVI |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Linlong Bian Assefa M. Melesse Arturo S. Leon Vivek Verma Zeda Yin |
spellingShingle |
Linlong Bian Assefa M. Melesse Arturo S. Leon Vivek Verma Zeda Yin A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands Water wetland delineation supervised classification LiDAR-derived DEM deterministic topographic approach TWI NDVI |
author_facet |
Linlong Bian Assefa M. Melesse Arturo S. Leon Vivek Verma Zeda Yin |
author_sort |
Linlong Bian |
title |
A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands |
title_short |
A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands |
title_full |
A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands |
title_fullStr |
A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands |
title_full_unstemmed |
A Deterministic Topographic Wetland Index Based on LiDAR-Derived DEM for Delineating Open-Water Wetlands |
title_sort |
deterministic topographic wetland index based on lidar-derived dem for delineating open-water wetlands |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2021-09-01 |
description |
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. |
topic |
wetland delineation supervised classification LiDAR-derived DEM deterministic topographic approach TWI NDVI |
url |
https://www.mdpi.com/2073-4441/13/18/2487 |
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