Dynamics of land use and land cover changes in Amibara and Awash-fentale districts, Ethiopia

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2024-08-05 DOI:10.1016/j.rsase.2024.101315
Ameha Tadesse, Degefa Tolossa, Solomon Tsehaye, Desalegn Yayeh
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Abstract

The analysis of land-use and land-cover (LULC) changes is crucial for rural development planning, food security monitoring, and natural resource conservation. This study focuses on detecting LULC changes in Amibara and Awash-Fentale districts from 1985 to 2021. We utilized five sets of Landsat data (Landsat 5 TM for 1985, 1995, 2002, and Landsat 8 OLI for 2015 & 2020) and applied supervised maximum likelihood classification. Accuracy assessments revealed overall accuracies ranging from 88.9% to 95.3% for Amibara and 89.5%–93.2% for Awash-Fentale. Both districts exhibited six main LULC classes: agriculture, bareland, built-up, mixed forest, shrubland, and water bodies. In Amibara LULC changes from 1985 to 2021 revealed significant shifts, maintaining its primary bareland characteristic, concentrated agriculture, and expanding Prosopis-dominated shrubland due to livestock-mediated seed dispersal. Conversely, in Awash-Fentale bareland dominance decreased from 92.28% to 67.02%, while agriculture, built-up areas, and shrubland expanded. Water bodies emerged between 2015 and 2021 which is associated with the construction of Kesem Kebena dam for sugar cane farm production. The net gains were observed in shrubland (12.9%), agriculture (5.8%), mixed forest (4.1%), water bodies (1.5%), and built-up areas (0.9%), with bareland experiencing a loss of 25.3%. In conclusion, Amibara and Awash-Fentale underwent both comparable and distinct LULC shifts, featuring prevalent bareland and central agriculture, alongside Prosopis-driven shrubland expansion due to livestock dispersal. While mixed forest exhibited fluctuations, built-up areas and water bodies remained limited. Notably, Awash-Fentale showed higher LULC variability. Understanding these land cover changes helps assess vulnerability to climate impacts like droughts and floods, enhancing climate resilience. Insights from this study can inform sustainable land-use planning, conservation strategies, and policy interventions in the Afar region and similar areas. These observations highlight the need for integrated land management approaches that balance socioeconomic development with environmental sustainability.

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埃塞俄比亚阿米巴拉和阿瓦什-芬塔勒地区土地利用和土地覆被变化动态
分析土地利用和土地覆被 (LULC) 的变化对于农村发展规划、粮食安全监测和自然资源保护至关重要。本研究的重点是检测阿米巴拉和阿瓦什-芬塔勒地区从 1985 年到 2021 年的土地利用和土地覆被变化。我们利用了五组大地遥感卫星数据(1985 年、1995 年和 2002 年的大地遥感卫星 5 TM 以及 2015 年和 2020 年的大地遥感卫星 8 OLI),并应用了监督最大似然分类法。精度评估显示,阿米巴拉的总体精度为 88.9% 至 95.3%,阿瓦什-芬塔勒的总体精度为 89.5% 至 93.2%。这两个地区的土地利用、土地利用变化(LULC)主要分为六类:农业、裸地、建筑区、混交林、灌木林和水体。从 1985 年到 2021 年,阿米巴拉的土地利用、土地利用变化(LULC)发生了显著变化,保持了主要的裸地特征、集中的农业以及由于牲畜传播种子而扩大的以罂粟为主的灌木林。相反,在阿瓦什-芬塔勒,裸地的主导地位从 92.28% 降至 67.02%,而农业、建筑密集区和灌木林地则有所扩大。水体在 2015 年至 2021 年间出现,这与为甘蔗农场生产建造 Kesem Kebena 大坝有关。灌木林(12.9%)、农业(5.8%)、混交林(4.1%)、水体(1.5%)和建筑密集区(0.9%)出现净增长,而裸地则减少了 25.3%。总之,阿米巴拉和阿瓦什-芬塔勒经历了既相似又不同的土地利用、土地利用变化(LULC),其特点是光地和中心农业普遍存在,同时由于牲畜的散布,灌木林地也因树红花而扩大。虽然混交林有所波动,但建筑密集区和水体仍然有限。值得注意的是,阿瓦什-芬塔勒地区的土地覆被变化较大。了解这些土地覆被变化有助于评估对干旱和洪水等气候影响的脆弱性,从而提高气候适应能力。这项研究的见解可为阿法尔地区和类似地区的可持续土地利用规划、保护战略和政策干预提供参考。这些观察结果突出表明,有必要采取综合土地管理方法,在社会经济发展与环境可持续性之间取得平衡。
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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