A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Monitoring Spatiotemporal Reduction of an Urban Wetland Using Landsat Time Series Analysis: A Case Study of Deepor Beel, Assam, India
Wetlands identification, monitoring, and restoration are crucial to sustaining efficient ecosystem services. Deepor Beel wetland in Assam has experienced rapid hydro-ecological alteration after huge constructional work from 1999 to 2000 that causes a major transformation of the wetland area. So, this paper intends to delineate the wetland area and monitor the transformations of the wetland triggered by the constructions in the southern parts of Deepor Beel. Water pixel frequency for each year is computed from 1988 to 2019 to estimate the total average wetted area of Deepor Beel. The water presence frequency process has also been applied for this purpose. Different landscape metrics are used to analyze the fragmentation of the wetland in different temporal stages. The result shows that, in the first stage, during 1988–2000, the aerial extents of high, moderate, and low-frequency water presence areas were roughly about 4.81, 3.48, and 2.76 km2, respectively. During the second phase from the year 2001–2018, the speedy extension of railway network has truncated the average area of wetland and has reduced the area approximately by 58, 33, and 52% in high, moderate, and low water presence frequency correspondingly. This study can be very helpful for planners to monitor future wetland loss and to draw the attention of stakeholders for its restoration.
Monitoring Spatiotemporal Reduction of an Urban Wetland Using Landsat Time Series Analysis: A Case Study of Deepor Beel, Assam, India
Wetlands identification, monitoring, and restoration are crucial to sustaining efficient ecosystem services. Deepor Beel wetland in Assam has experienced rapid hydro-ecological alteration after huge constructional work from 1999 to 2000 that causes a major transformation of the wetland area. So, this paper intends to delineate the wetland area and monitor the transformations of the wetland triggered by the constructions in the southern parts of Deepor Beel. Water pixel frequency for each year is computed from 1988 to 2019 to estimate the total average wetted area of Deepor Beel. The water presence frequency process has also been applied for this purpose. Different landscape metrics are used to analyze the fragmentation of the wetland in different temporal stages. The result shows that, in the first stage, during 1988–2000, the aerial extents of high, moderate, and low-frequency water presence areas were roughly about 4.81, 3.48, and 2.76 km2, respectively. During the second phase from the year 2001–2018, the speedy extension of railway network has truncated the average area of wetland and has reduced the area approximately by 58, 33, and 52% in high, moderate, and low water presence frequency correspondingly. This study can be very helpful for planners to monitor future wetland loss and to draw the attention of stakeholders for its restoration.
Monitoring Spatiotemporal Reduction of an Urban Wetland Using Landsat Time Series Analysis: A Case Study of Deepor Beel, Assam, India
GIScience & Geo-environmental Modelling
Rahman, Atiqur (editor) / Sen Roy, Shouraseni (editor) / Talukdar, Swapan (editor) / Shahfahad (editor) / Das, Rajib Tarani (author) / Dutta, Mrinalendra Narayan (author) / Acharjee, Shukla (author)
2023-03-04
14 pages
Article/Chapter (Book)
Electronic Resource
English
Online Contents | 2004
Online Contents | 1994