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リモートセンシング技術を使用したエチオピアのタナ湖におけるホテイアオイ (Eichhornia crassipes) の時空間的変動解析とその影響
http://hdl.handle.net/10911/0002000418
http://hdl.handle.net/10911/00020004189adbeafa-6dc1-4414-a6cb-4e3a04ed8217
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2024-03-25 | |||||||||
| タイトル | ||||||||||
| タイトル | Spatiotemporal Variability Analysis of Water Hyacinth (Eichhornia crassipes) and Its Impact on the Lake Tana Ecosystem Using Remote Sensing Technology | |||||||||
| 言語 | en | |||||||||
| タイトル | ||||||||||
| タイトル | リモートセンシング技術を使用したエチオピアのタナ湖におけるホテイアオイ (Eichhornia crassipes) の時空間的変動解析とその影響 | |||||||||
| 言語 | ja | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Chlorophyll-a | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | lake surface water temperature | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | satellite imagery | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | turbidity | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | turbidity | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||||
| 資源タイプ | doctoral thesis | |||||||||
| アクセス権 | ||||||||||
| アクセス権 | open access | |||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||
| 著者 |
Getachew, Bayable Tiruneh
× Getachew, Bayable Tiruneh
× ゲタチュ, バヤブル チルネ
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| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | This study examined the spatiotemporal dynamics of water hyacinth (WH) and its impact on hydrology and water quality in Lake Tana, Ethiopia. Three non-parametric machine learning algorithms were evaluated for WH detection. All classifiers achieved >95% accuracy with Sentinel-2 and >90% with Landsat-8. Although the performance differences between the methods were small, Random Forest demonstrated the highest accuracy and was used to estimate the spatiotemporal variability of WH distribution. High WH populations were concentrated in Lake Tana’s northeastern sector, with spatial coverage increasing significantly from 2015 to 2023. Water loss due to WH evapotranspiration also increased significantly during this period. Lake surface water temperature (LSWT) decreased significantly across all seasons except the dry season. Turbidity declined significantly in all seasons except the pre-rainy season. Chlorophyll-a (Chl-a) decreased in pre-rainy and rainy seasons but showed a non-significant increasing trend during dry and post-rainy seasons. WH biomass had a non-significant positive correlation with LSWT (r = 0.18), while a significant negative correlation with turbidity (r = -0.33) and Chl-a (r = -0.35). This study identified RF as the most accurate method for WH detection and comprehensively quantified its spatiotemporal distribution and impacts on the ecosystem using remote sensing technology for the first time. | |||||||||
| 言語 | en | |||||||||
| 学位名 | ||||||||||
| 学位名 | 博士（工学） | |||||||||
| item_4_degree_grantor_8 | ||||||||||
| 学位授与機関名 | 創価大学 | |||||||||
| 学位授与年月日 | ||||||||||
| 学位授与年月日 | 2025-03-18 | |||||||||
| dissertation_number | ||||||||||
| 学位授与番号 | 甲第223号 | |||||||||
| 出版タイプ | ||||||||||
| 出版タイプ | VoR | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
