Monitoring and analysis of land cover changes in Yala National Park, Sri Lanka using Landsat time series (2000∼2022)

Yala National Park (YNP), a biodiversity hotspot in South Asia, is increasingly threatened by human-induced landscape transformation. However, long-term assessments of land cover dynamics and landscape integrity remain limited. This study, grounded in a landscape ecology – remote sensing framework, leverages 23 years of Landsat time-series data on Google Earth Engine (GEE) to quantify habitat loss and analyze landscape changes in YNP. The results reveal the following over a 23-year period: (i) YNP shows mild fragmentation characteristics, primarily manifested as local forest loss and patchiness of land cover under increased edge effects (0.7% decline in Contagion Index); (ii) The buffer zone has experienced high-intensity land cover conversion (with agricultural land accounting for 29.9% in 2022) and fragmentation of landscape patterns (13.7% decline in Contagion Index), with agricultural expansion infiltrating towards the edges of YNP; (iii) The increase in cropland area shows a significant positive correlation with the number of fatalities caused by Human-elephant conflict (Pearson's, r = 0.92, p < 0.01). Our study demonstrates the monitoring and assessment of long-term landscape changes, providing practical guidance for national parks facing similar human-wildlife conflict challenges.

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Publication Details

Journal
International Journal of Digital Earth
Published
2025-05-06
DOI
https://doi.org/10.1080/17538947.2025.2498602
Citations
2
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
3.43

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article

Monitoring and analysis of land cover changes in Yala National Park, Sri Lanka using Landsat time series (2000∼2022)

Jia Yang, Jie Fan, Liang He, Li Li et al.
2 citations
International Journal of Digital Earth
Remote Sensing in Agriculture
3.43
article

Monitoring and analysis of land cover changes in Yala National Park, Sri Lanka using Landsat time series (2000∼2022)

Jia Yang, Jie Fan, Liang He, Li Li, Lei Luo, Xingyu Zhu, Jie Shao, Jianchao Sun, Ran Tu, Zhen Han
article en
2 citations

Abstract

Yala National Park (YNP), a biodiversity hotspot in South Asia, is increasingly threatened by human-induced landscape transformation. However, long-term assessments of land cover dynamics and landscape integrity remain limited. This study, grounded in a landscape ecology – remote sensing framework, leverages 23 years of Landsat time-series data on Google Earth Engine (GEE) to quantify habitat loss and analyze landscape changes in YNP. The results reveal the following over a 23-year period: (i) YNP shows mild fragmentation characteristics, primarily manifested as local forest loss and patchiness of land cover under increased edge effects (0.7% decline in Contagion Index); (ii) The buffer zone has experienced high-intensity land cover conversion (with agricultural land accounting for 29.9% in 2022) and fragmentation of landscape patterns (13.7% decline in Contagion Index), with agricultural expansion infiltrating towards the edges of YNP; (iii) The increase in cropland area shows a significant positive correlation with the number of fatalities caused by Human-elephant conflict (Pearson's, r = 0.92, p < 0.01). Our study demonstrates the monitoring and assessment of long-term landscape changes, providing practical guidance for national parks facing similar human-wildlife conflict challenges.

International Journal of Digital EarthVol. 18(1)
Nanjing Tech University (CN), Chinese Academy of Sciences (CN), China Geological Survey (CN), International Centre on Space Technologies for Natural and Cultural Heritage (CN), Beijing University of Civil Engineering and Architecture (CN)
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Life in Land
Openalex Percentile: Top 9%
Remote Sensing in Agriculture
3.43
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