Articles | Volume 6, issue 2
https://doi.org/10.5194/esd-6-617-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-6-617-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Inter-annual and seasonal trends of vegetation condition in the Upper Blue Nile (Abay) Basin: dual-scale time series analysis
E. Teferi
CORRESPONDING AUTHOR
Addis Ababa University, Center for Environment and Development Studies, P.O. Box 1176, Addis Ababa, Ethiopia
S. Uhlenbrook
UNESCO-IHE Institute for Water Education, P.O. Box 3015, 2601 DA Delft, the Netherlands
Delft University of Technology, Water Resources Section, P.O. Box 5048, GA Delft, the Netherlands
W. Bewket
Addis Ababa University, Department of Geography and Environmental Studies, P.O. Box 1176, Addis Ababa, Ethiopia
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23 citations as recorded by crossref.
- Impacts of integrated soil and water conservation programs on vegetation regeneration and productivity as indicator of ecosystem health in Guna-Tana watershed: evidences from satellite imagery G. Gella 10.1186/s40068-018-0105-1
- Trends in Extreme Climate Events over Three Agroecological Zones of Southern Ethiopia B. Esayas et al. 10.1155/2018/7354157
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- Climatic controls of ecohydrological responses in the highlands of northern Ethiopia S. Tesfaye et al. 10.1016/j.scitotenv.2017.07.138
- Vegetation Resilience under Increasing Drought Conditions in Northern Tanzania S. Verhoeve et al. 10.3390/rs13224592
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- Tracking the Vegetation Change Trajectory over Large-Surface Coal Mines in the Jungar Coalfield Using Landsat Time-Series Data Y. Wang et al. 10.3390/rs15245667
- Modeling the impacts of extreme climate scenarios on soil acidity (pH and exchangeable aluminum) in Abbay River Basin, Ethiopia F. Benti Chalchissa & B. Kuris 10.1016/j.heliyon.2024.e33448
- Time series analysis of vegetation-cover response to environmental factors and residential development in a dryland region N. Ohana-Levi et al. 10.1080/15481603.2018.1519093
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- Total Discharge Estimation in the Korean Peninsula Using Multi-Satellite Products J. Seo & S. Lee 10.3390/w9070532
- Assessment of the Biomass Productivity Decline in the Lower Mekong Basin Q. Vu et al. 10.3390/rs11232796
- Spatiotemporal variability of ecosystem water use efficiency in northern Ethiopia during 1982–2014 S. Tesfaye et al. 10.1016/j.jhydrol.2021.126863
- Green balance in urban areas as an indicator for policy support: a multi-level application G. Zulian et al. 10.3897/oneeco.7.e72685
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- Spatiotemporal climate and vegetation greenness changes and their nexus for Dhidhessa River Basin, Ethiopia G. Wedajo et al. 10.1186/s40068-019-0159-8
- Dynamiques contrastées de reverdissement et dégradation de la couverture végétale au Sénégal révélées par analyse de série temporelle du NDVI MODIS B. Solly et al. 10.4000/vertigo.35589
- Detecting the long-term spatiotemporal crop phenology changes in a highly fragmented agricultural landscape B. Sisheber et al. 10.1016/j.agrformet.2023.109601
- Spatiotemporal trends of NDVI and its response to climate variability in the Abbay River Basin, Ethiopia K. Hussien et al. 10.1016/j.heliyon.2023.e14113
- Vegetation Trend Detection Using Time Series Satellite Data as Ecosystem Condition Indicators for Analysis in the Northwestern Highlands of Ethiopia B. Alemayehu et al. 10.3390/rs15205032
- Climate Variability and Farmers’ Perception in Southern Ethiopia B. Esayas et al. 10.1155/2019/7341465
- Towards an Improved Environmental Understanding of Land Surface Dynamics in Ukraine Based on Multi-Source Remote Sensing Time-Series Datasets from 1982 to 2013 G. Ghazaryan et al. 10.3390/rs8080617
- A Relative Radiometric Normalization Method for Enhancing Radiometric Consistency of Landsat Time-Series Imageries H. Xu et al. 10.1109/JSTARS.2023.3288973
1 citations as recorded by crossref.
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Latest update: 13 Dec 2024
Short summary
This study concludes that integrated analysis of course and fine-scale, inter-annual and intra-annual trends enables a more robust identification of changes in vegetation condition. Seasonal trend analysis was found to be very useful in identifying changes in vegetation condition that could be masked if only inter-annual vegetation trend analysis were performed. The finer-scale intra-annual trend analysis revealed trends that were more linked to human activities.
This study concludes that integrated analysis of course and fine-scale, inter-annual and...
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