Assessing Vegetation Change from 2005 to 2024 Using Remote Sensing and Geographic Information Systems: A Case Study of the Phung River Basin, Sakon Nakhon Province

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Narathip Ruksajai
Phayom Saraphirom
Worapong Lohpaisankrit

บทคัดย่อ

This study enhances the detection of vegetation changes in Thailand’s Phung River Basin, Sakon Nakhon province, by applying the Normalized Difference Vegetation Index (NDVI) within a GIS and remote sensing framework from 2005 to 2024. NDVI, a globally recognized indicator of vegetation health and ecological conditions, was calculated using multi-temporal Landsat imagery. The analysis classified vegetation into five density categories across five time points—2005, 2010, 2015, 2020, and 2024—revealing significant ecological shifts. Dense vegetation increased notably from 11.39% to 20.58%, while areas with moderate and sparse vegetation declined. These changes aligned with demographic trends, including population growth from 2005 to 2020 and a sharp 24% decrease from 2020 to 2024, as well as the implementation of stricter land-use policies. By integrating NDVI-derived analysis, GIS-based spatial modeling, and equationNDVI change detection, the study substantially improved the monitoring of vegetation dynamics. This approach enabled precise identification of degradation and regeneration zones, offering a practical model for sustainable land management. The methodology presents a scalable tool for other tropical watersheds, supporting regional sustainability strategies across Southeast Asia. The results indicate that vegetation dynamics within the Phung River Basin are closely associated with human-driven activities, notably agricultural expansion and the implementation of land-use regulations. These findings provide essential baseline information to support the development of effective and sustainable forest management policies moving forward.

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[1]
N. . Ruksajai, P. . Saraphirom, และ W. . Lohpaisankrit, “Assessing Vegetation Change from 2005 to 2024 Using Remote Sensing and Geographic Information Systems: A Case Study of the Phung River Basin, Sakon Nakhon Province”, NKRAFA J.Sci Technol., ปี 21, ฉบับที่ 2, น. 194–218, มิ.ย. 2025.
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