Mapping and Monitoring Change Detection of High-Altitude Wetland Using Remote Sensing and GIS: A Case Study of Rara Wetland, Nepal

High-altitude wetlands (HAW) are essential for the environment as they mitigate climate impacts, facilitate water regulation and groundwater recharge, function as carbon sinks, and promote ecological stability. To protect it from disappearing, it is essential to map and monitor change detection to analyze the extent. However, research on monitoring HAWs remains limited in the world and gets very limited attention. This research uses Geographic Information System (GIS) and remote sensing techniques to analyze the change in Rara wetland extent from 2000 to 2020. We used the Shuttle Radar Topography (SRTM) digital elevation model to generate slope and Topographic Wetness Index (TWI) and Landsat 7 ETM+ images to derive normalized difference Vegetation Index (NDVI), Normalizing Difference Water Index (NDWI) and supervised classification for different years. Over the past two decades, 1.25% of the total area of Rara wetland has been lost at an annual rate of 0.997 hectares. It highlights the urgent necessity for conservation action. This study confirms that GIS and remote sensing effectively delineate, map, and assess wetland dynamics, offering essential insights for future conservation policies and strategies.

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Publication Details

Journal
American Journal of Geospatial Technology
Published
2025-02-07
DOI
https://doi.org/10.54536/ajgt.v4i1.4005
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping and Monitoring Change Detection of High-Altitude Wetland Using Remote Sensing and GIS: A Case Study of Rara Wetland, Nepal

Riya Pokhrel, Srijan Thapa
American Journal of Geospatial Technology
Flood Risk Assessment and Management
article

Mapping and Monitoring Change Detection of High-Altitude Wetland Using Remote Sensing and GIS: A Case Study of Rara Wetland, Nepal

Riya Pokhrel, Srijan Thapa
article en

Abstract

High-altitude wetlands (HAW) are essential for the environment as they mitigate climate impacts, facilitate water regulation and groundwater recharge, function as carbon sinks, and promote ecological stability. To protect it from disappearing, it is essential to map and monitor change detection to analyze the extent. However, research on monitoring HAWs remains limited in the world and gets very limited attention. This research uses Geographic Information System (GIS) and remote sensing techniques to analyze the change in Rara wetland extent from 2000 to 2020. We used the Shuttle Radar Topography (SRTM) digital elevation model to generate slope and Topographic Wetness Index (TWI) and Landsat 7 ETM+ images to derive normalized difference Vegetation Index (NDVI), Normalizing Difference Water Index (NDWI) and supervised classification for different years. Over the past two decades, 1.25% of the total area of Rara wetland has been lost at an annual rate of 0.997 hectares. It highlights the urgent necessity for conservation action. This study confirms that GIS and remote sensing effectively delineate, map, and assess wetland dynamics, offering essential insights for future conservation policies and strategies.

American Journal of Geospatial TechnologyVol. 4(1)
International Centre for Integrated Mountain Development (NP)
U.S. Geological Survey
Climate action
Openalex Percentile: Top 98%
Flood Risk Assessment and Management
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