Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in Thailand

The Ping River, located in northern Thailand, is facing various challenges due to the impacts of climate change, dam operations, and sand mining, leading to riverbank erosion and deposition. To monitor the riverbank erosion and accretion, this study employs remote sensing and GIS technology, utilizi...

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Main Authors: Jeerapong Laonamsai, Phongthorn Julphunthong, Thanat Saprathet, Bounhome Kimmany, Tammarat Ganchanasuragit, Phornsuda Chomcheawchan, Nattapong Tomun
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Hydrology
Subjects:
Online Access:https://www.mdpi.com/2306-5338/10/3/70
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author Jeerapong Laonamsai
Phongthorn Julphunthong
Thanat Saprathet
Bounhome Kimmany
Tammarat Ganchanasuragit
Phornsuda Chomcheawchan
Nattapong Tomun
author_facet Jeerapong Laonamsai
Phongthorn Julphunthong
Thanat Saprathet
Bounhome Kimmany
Tammarat Ganchanasuragit
Phornsuda Chomcheawchan
Nattapong Tomun
author_sort Jeerapong Laonamsai
collection DOAJ
description The Ping River, located in northern Thailand, is facing various challenges due to the impacts of climate change, dam operations, and sand mining, leading to riverbank erosion and deposition. To monitor the riverbank erosion and accretion, this study employs remote sensing and GIS technology, utilizing five water indices: the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Soil-Adjusted Vegetation Index (SAVI), Water Ratio Index (WRI), and Automated Water Extraction Index (AWEI). The results from each water index were comparable, with an accuracy ranging from 79.10 to 94.53 percent and analytical precision between 96.05 and 100 percent. The AWEI and WRI streams showed the highest precision out of the five indices due to their larger total surface water area. Between 2015 and 2022, the riverbank of the Ping River saw 5.18 km<sup>2</sup> of erosion. Conversely, the morphological analysis revealed 5.55 km<sup>2</sup> of accretion in low-lying river areas. The presence of riverbank stabilizing structures has resulted in accretion being greater than erosion, leading to the formation of riverbars along the Ping River. The presence of water hyacinth, narrow river width, and different water levels between the given periods may impact the accuracy of retrieved river areas.
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spelling doaj.art-169148e2c2254b04b3373085adce70392023-11-17T11:26:03ZengMDPI AGHydrology2306-53382023-03-011037010.3390/hydrology10030070Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in ThailandJeerapong Laonamsai0Phongthorn Julphunthong1Thanat Saprathet2Bounhome Kimmany3Tammarat Ganchanasuragit4Phornsuda Chomcheawchan5Nattapong Tomun6Department of Civil Engineering, Faculty of Engineering, Naresuan University, Phitsanulok 65000, ThailandDepartment of Civil Engineering, Faculty of Engineering, Naresuan University, Phitsanulok 65000, ThailandDepartment of Water Resources, Ministry of Natural Resources and Environment, Bangkok 10400, ThailandDepartment of Meteorology and Hydrology, Faculty of Water Resources, National University of Laos, Vientiane 01010, LaosDepartment of Sustainable Energy and Resources Engineering, Tokyo Institute of Technology, Tokyo 152-8550, JapanDepartment of Civil Engineering, Faculty of Engineering, Naresuan University, Phitsanulok 65000, ThailandDepartment of Technical Education, Faculty of Industrial Education, Rajamangala University of Technology Thanyaburi, Pathumthani 12110, ThailandThe Ping River, located in northern Thailand, is facing various challenges due to the impacts of climate change, dam operations, and sand mining, leading to riverbank erosion and deposition. To monitor the riverbank erosion and accretion, this study employs remote sensing and GIS technology, utilizing five water indices: the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI), Soil-Adjusted Vegetation Index (SAVI), Water Ratio Index (WRI), and Automated Water Extraction Index (AWEI). The results from each water index were comparable, with an accuracy ranging from 79.10 to 94.53 percent and analytical precision between 96.05 and 100 percent. The AWEI and WRI streams showed the highest precision out of the five indices due to their larger total surface water area. Between 2015 and 2022, the riverbank of the Ping River saw 5.18 km<sup>2</sup> of erosion. Conversely, the morphological analysis revealed 5.55 km<sup>2</sup> of accretion in low-lying river areas. The presence of riverbank stabilizing structures has resulted in accretion being greater than erosion, leading to the formation of riverbars along the Ping River. The presence of water hyacinth, narrow river width, and different water levels between the given periods may impact the accuracy of retrieved river areas.https://www.mdpi.com/2306-5338/10/3/70riverbankerosionaccretionremote sensingriver morphologywater indices
spellingShingle Jeerapong Laonamsai
Phongthorn Julphunthong
Thanat Saprathet
Bounhome Kimmany
Tammarat Ganchanasuragit
Phornsuda Chomcheawchan
Nattapong Tomun
Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in Thailand
Hydrology
riverbank
erosion
accretion
remote sensing
river morphology
water indices
title Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in Thailand
title_full Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in Thailand
title_fullStr Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in Thailand
title_full_unstemmed Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in Thailand
title_short Utilizing NDWI, MNDWI, SAVI, WRI, and AWEI for Estimating Erosion and Deposition in Ping River in Thailand
title_sort utilizing ndwi mndwi savi wri and awei for estimating erosion and deposition in ping river in thailand
topic riverbank
erosion
accretion
remote sensing
river morphology
water indices
url https://www.mdpi.com/2306-5338/10/3/70
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