Scholarlink

<p>Understanding land use/land cover (LULC) dynamic and its impact on land surface temperature (LST) is crucial for sustainable watershed management and climate change adaptation. This study analyzed the spatiotemporal dynamics of LULC and its implications on LST for the Weyib watershed, Ethiopia. Using GIS and remote sensing techniques; the study investigates the link between land surface temperature (LST) and land cover indices, such as the normalized difference vegetation index (NDVI), normalized difference Barren index (NDBaI), and normalized difference water index (NDWI). Thermal and multispectral data were used to compute LST, NDVI, NDBaI, and NDWI using Landsat images from 1994 (TM), 2004 (ETM+), 2014 (ETM+), and 2024 (OLI/TIRS) in order to evaluate the initiative’s effect on temperature control. The findings show notable shifts in land cover from 1994 to 2024. In particular, shrub land fell from 89,115.6&#xa0;ha (23%) to 35,298.5&#xa0;ha (9%), whilst built-up areas rose from 11,410.8&#xa0;ha (3%) to 75,722.9&#xa0;ha (19%). These changes show the influence of the Green Legacy Initiative (GLI) on landscape changes. LST dropped by 1.6&#xa0;°C between 2004 and 2024, mainly due to extensive afforestation. This temperature decline corresponds with increased vegetation and water bodies, as indicated by negative correlation between LST and NDVI (R<sup>2</sup> =0.34) and NDWI (R<sup>2</sup> = 0.4).In contrast, LST showed a strong positive correlation with NDBaI(R<sup>2</sup> = 0.98), linking higher temperatures to barren lands. The study underscores the critical role of vegetation restoration in mitigating surface warming and improving the watershed’s climate resilience. The results provide valuable evidence for policymakers and environmental planners to prioritize afforestation and sustainable land-use strategies as effective instruments for LST regulation and watershed sustainability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analyzing the spatiotemporal dynamics of land use land cover change and its effects on land surface temperature in Weyib watershed, South Eastern Ethiopia

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月14日

查看全文
  • Kanenus Fufa Dararo,
  • Firdissa Sadeta Tiye,
  • Diro Lenjisa Geleto

摘要

Understanding land use/land cover (LULC) dynamic and its impact on land surface temperature (LST) is crucial for sustainable watershed management and climate change adaptation. This study analyzed the spatiotemporal dynamics of LULC and its implications on LST for the Weyib watershed, Ethiopia. Using GIS and remote sensing techniques; the study investigates the link between land surface temperature (LST) and land cover indices, such as the normalized difference vegetation index (NDVI), normalized difference Barren index (NDBaI), and normalized difference water index (NDWI). Thermal and multispectral data were used to compute LST, NDVI, NDBaI, and NDWI using Landsat images from 1994 (TM), 2004 (ETM+), 2014 (ETM+), and 2024 (OLI/TIRS) in order to evaluate the initiative’s effect on temperature control. The findings show notable shifts in land cover from 1994 to 2024. In particular, shrub land fell from 89,115.6 ha (23%) to 35,298.5 ha (9%), whilst built-up areas rose from 11,410.8 ha (3%) to 75,722.9 ha (19%). These changes show the influence of the Green Legacy Initiative (GLI) on landscape changes. LST dropped by 1.6 °C between 2004 and 2024, mainly due to extensive afforestation. This temperature decline corresponds with increased vegetation and water bodies, as indicated by negative correlation between LST and NDVI (R2 =0.34) and NDWI (R2 = 0.4).In contrast, LST showed a strong positive correlation with NDBaI(R2 = 0.98), linking higher temperatures to barren lands. The study underscores the critical role of vegetation restoration in mitigating surface warming and improving the watershed’s climate resilience. The results provide valuable evidence for policymakers and environmental planners to prioritize afforestation and sustainable land-use strategies as effective instruments for LST regulation and watershed sustainability.