Land use land cover analysis of the Great Ethiopian Renaissance Dam (GERD) catchment using remote sensing and GIS techniques

Solomon, Tamirat; Lukas, Paulos

doi:10.1080/24749508.2022.2138027

Cited by 7 publications

(6 citation statements)

References 56 publications

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“…Also, dam construction affects the morphology of the river through human activities [ 36 ]. Such Dam construction were rising conflicts and crises within environment and among different living communities [ 11 , 12 ] and also, makes loss of biodiversity [ 8 ].…”

Section: Discussionmentioning

confidence: 99%

“…Sub-Saharan Africa is experiencing steady agricultural expansion, but at the same time around 65% of Africa's agricultural land is too degraded for sustainable food production, discouraging a growing population dependent on agricultural land and it is a serious problem to support them [ 7 , 8 ]. Most of the time more biodiversity has been observed in wetland and forestland than in other land use types [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

“…In Ethiopia, increased population pressure and related food needs are the basic drivers for the alteration of natural forests to grasslands and cultivated lands that bring total environmental change [ 11 ]. In developing countries like Ethiopia, it is better to integrate programs, projects, and activities with environmental resources that ensure sustainable development [ 8 , 12 ]. Sometimes today a watershed is missed for conservation at some place.…”

Section: Introductionmentioning

confidence: 99%

“…Most of these study results indicated that deforestation and expansion of cultivation to peripheral areas such as steep slopes were the main causes of land degradation, especially in the highlands of Ethiopian country [ 14 , 15 ]. In particular, its effects are more visible in developing countries, where the economic activity of farmers depends on watersheds [ 8 ]. Some studies suggested that the main drivers of land use and land cover are demographic dynamics, economic factors, socioeconomic factors, and cultural factors in the rural area.…”

Section: Introductionmentioning

confidence: 99%

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Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Fikadu

2023

Heliyon

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Fikadu

2023

Heliyon

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“…2). Then, supervised image classi cation by the Maximum Likelihood Classi er Algorithm was performed (Richards & Jia, 2006; T. Solomon & Lukas, 2022). Furthermore, geometric and radiometric corrections were employed by ERDAS Imagine 2015 for image enhancement as presented in Fig.…”

Section: Data Collection Image Processing and Classi Cationmentioning

confidence: 99%

Assessment of ecosystem service value variation over land use/land cover dynamics in the Beles River Basin, Ethiopia

Aligas,

Gessesse,

Molla

et al. 2023

Preprint

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The objective of this study was assess the status of ecosystem service values (ESVs) due to changes in land use and land cover (LULC) in the Beles River Basin of Ethiopia to establish the scientific basis for the actionable needs for enhancing the conservation and sustainable use of ecosystem functions. Satellite images of Landsat 5TM (1986), 7ETM+(2002), and 8OLI-TIRS (2019) were used to evaluate the LULC changes over the years. All images were classified using supervised classification technique of a Maximum Likelihood Algorithm (MLA). Accuracy assessments were performed for each reference year. The LULC types were classified with overall accuracy ranging from 89.3–92.1% with Kappa coefficient of 0.87 to 0.9. The classification result indicated a reduction of forests (71.0%), woodlands (11.2%), and grazing lands (1.8%) conversely, an increase of croplands (3568.0%), water bodies (178.1%), and built-up areas (9.4%) over the past 34 years. The total ESVs in the basin were estimated to be US$ 1,085 billion in 1986, US$ 909.4 million in 2002, and US$ 836.5 million in 2019. The percentage losses of ESVs were 22.9% (US$ 249.3 million) over the past three decades. Individual ecosystem service functions, such as erosion control, climate regulation, nutrient cycling, and water treatment, which were among the largest contributors to total ESVs, have also linearly decreased on their values. In contrary, the value of food production ecosystem service function increased dramatically. We conclude that the decline in ESVs evidences the effects of environmental degradation in the basin. Thus, we recommend further studies of sustainable land management (SLM) options that could ensure sustainable ecosystem services in the basin.

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Assessment of Ecosystem Service Value Variation Over Land Use and Land Cover Dynamics in the Beles River Basin, Ethiopia

Assaye,

Desta,

Molla

et al. 2024

Remote Sens Earth Syst Sci

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Land use land cover analysis of the Great Ethiopian Renaissance Dam (GERD) catchment using remote sensing and GIS techniques

Cited by 7 publications

References 56 publications

Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Impact of land use land cover change using remote sensing with integration of socio-economic data on Rural Livelihoods in the Nashe watershed, Ethiopia

Assessment of ecosystem service value variation over land use/land cover dynamics in the Beles River Basin, Ethiopia

Assessment of Ecosystem Service Value Variation Over Land Use and Land Cover Dynamics in the Beles River Basin, Ethiopia

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