Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images
In-depth understanding of long-term evolution of mega deltas with a large population is of great significance for national sustainability development programs. However, due to insufficient satellite images and its low temporal resolution, previous studies have only roughly explored the long-term evo...
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MDPI AG
2022-09-01
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author | Lihua Wang Ziheng Yang Weiwei Sun Li Fan Benhua Tan Yunxuan Zhou |
author_facet | Lihua Wang Ziheng Yang Weiwei Sun Li Fan Benhua Tan Yunxuan Zhou |
author_sort | Lihua Wang |
collection | DOAJ |
description | In-depth understanding of long-term evolution of mega deltas with a large population is of great significance for national sustainability development programs. However, due to insufficient satellite images and its low temporal resolution, previous studies have only roughly explored the long-term evolution. To reveal the detailed delta evolution processes, Jiuduansha (JDS) upon the Yangtze estuary, which is one of the world’s mega deltas, was taken as an example. Based on the continuous time series of 792 satellite images between 1965 and 2021, this study combined the K-means classification, probability statistics, and GIS spatial analysis to generate the annual probability waterlines. Furthermore, the continuous time series of geomorphological features, position of waterlines and centroid change were determined. The results showed that the JDS exposed area presented a rapid growth trend. Specifically, in the early period (1965–1998), it presented a natural evolution state of “the head erosion, the tail deposition, and extending to the southeast”. In the recent period (1999–2021), the evolution state changed into the engineering-dominated evolution state of “erosion in the south, deposition in the north, continuous extension to the southeast, and overall northward movement”. The accelerated deposition of JDS over the recent 20 years has been mainly attributed to human activities, including the construction of Deep-water Navigation Channels and the vegetation promoting silting, followed by the upstream and downstream sediment sources. Current results suggest the JDS is likely to be more elongated in the SE-NW direction, with erosion in the southern region. |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-10T01:18:25Z |
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spelling | doaj.art-c106e852a4d34659a75f4ae2b2af4cee2023-11-23T14:05:02ZengMDPI AGRemote Sensing2072-42922022-09-011417434110.3390/rs14174341Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite ImagesLihua Wang0Ziheng Yang1Weiwei Sun2Li Fan3Benhua Tan4Yunxuan Zhou5Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaChongqing Institute of Meteorological Sciences, Chongqing 401147, ChinaDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, ChinaState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, ChinaIn-depth understanding of long-term evolution of mega deltas with a large population is of great significance for national sustainability development programs. However, due to insufficient satellite images and its low temporal resolution, previous studies have only roughly explored the long-term evolution. To reveal the detailed delta evolution processes, Jiuduansha (JDS) upon the Yangtze estuary, which is one of the world’s mega deltas, was taken as an example. Based on the continuous time series of 792 satellite images between 1965 and 2021, this study combined the K-means classification, probability statistics, and GIS spatial analysis to generate the annual probability waterlines. Furthermore, the continuous time series of geomorphological features, position of waterlines and centroid change were determined. The results showed that the JDS exposed area presented a rapid growth trend. Specifically, in the early period (1965–1998), it presented a natural evolution state of “the head erosion, the tail deposition, and extending to the southeast”. In the recent period (1999–2021), the evolution state changed into the engineering-dominated evolution state of “erosion in the south, deposition in the north, continuous extension to the southeast, and overall northward movement”. The accelerated deposition of JDS over the recent 20 years has been mainly attributed to human activities, including the construction of Deep-water Navigation Channels and the vegetation promoting silting, followed by the upstream and downstream sediment sources. Current results suggest the JDS is likely to be more elongated in the SE-NW direction, with erosion in the southern region.https://www.mdpi.com/2072-4292/14/17/4341Jiuduansharemote sensingwaterlinesevolution characteristicfuture trends |
spellingShingle | Lihua Wang Ziheng Yang Weiwei Sun Li Fan Benhua Tan Yunxuan Zhou Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images Remote Sensing Jiuduansha remote sensing waterlines evolution characteristic future trends |
title | Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images |
title_full | Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images |
title_fullStr | Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images |
title_full_unstemmed | Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images |
title_short | Detailed Processes of Tidal Flat Geomorphology Evolution Based on Time-Series Satellite Images |
title_sort | detailed processes of tidal flat geomorphology evolution based on time series satellite images |
topic | Jiuduansha remote sensing waterlines evolution characteristic future trends |
url | https://www.mdpi.com/2072-4292/14/17/4341 |
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