Evaluating Biophysical Attributes of Environmentally Degraded Landscapes in Northern Ethiopia using LANDSAT ETM data and GIS

Gala, TS; Pazner, Micha; Beyene, Solomon T.

doi:10.4314/ejesm.v4i1.1

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…Therefore, the observed land cover types are as a result of varying degree of human intrusion on the environment. In this study LANDSAT DATA has distinguished major land cover types, which is consistent with the capability of LANDSAT Data demonstrated elsewhere for mapping and monitoring land cover of environmentally degraded landscapes (Gala et. al.…”

Section: Land Use/land Covers Characteristics Of the Study Areasupporting

confidence: 91%

Analysis of the Pattern of Land Degradation in Okaba, Kogi State, Nigeria

Hassan¹,

Edicha²,

Kabiru³

2016

SSAN

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The study examined the pattern of land degradation in Okaba using GIS and remote sensing techniques. The study area is located between latitude 7 25’7 31’N and Longitude7 40’7 46′ E and covers approximately 122.7km2. The satellite data (landsat: 1998, 2002, 2007and 2012) together with other geospatial datasets were used to quantify different categories of land degradation. The results were validated in the field. Land use/ land cover of the study area was determined in order to see the effects of land use on land degradation. Normalized Differential Vegetation Index (NDVI) and Tasseled Cap indicators of the area were determined from Landsat data. Landsat along with other secondary data were analyzed to create various thematic maps, viz., land use, vegetation, and soil used in modeling land degradation in Okaba. The Land use/cover, NDVI, Tasseled Cap Brightness (TCB), Tasseled Cap Wetness (TCW) and Tasseled Cap Greenness (TCG) were integrated to assess the degradation scenario in the study area using the Idrisi Selva ‘Reclasstool’ and ArcGIS 10’Spatial analyst tool’. The results reveal that bareground increases throughout the study epoch while vegetation decreases. The findings of this study revealed that 42.1% of land is undergoing different categories of land degradation such as soil erosion and devegetation.

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Section: Land Use/land Covers Characteristics Of the Study Areasupporting

confidence: 91%

Analysis of the Pattern of Land Degradation in Okaba, Kogi State, Nigeria

Hassan¹,

Edicha²,

Kabiru³

2016

SSAN

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“…The complex topographies of the study area corroborate reports from other studies in Eritrea [23,24]. Additionally, it is also consistent with similar landscapes of the neighboring Tigray, northern Ethiopia [25,26]. For instance, the topographies of Eritrea are highland plateaus in the center; leveled to undulating lowlands in the west; and flatter lowlands in the west [24].…”

Section: Figure 6 Eritrea's Topographic Characteristicssupporting

confidence: 89%

“…Eritrea's topographies are also rugged hills and steeply slope in the east and central parts [24]. Additionally, the findings are comparable with complex landforms and landform elements in the adjacent northern highlands of Ethiopia [25]. Gala et al [25] identified the landscape topographies through a multi-hierarchical classification approach of land system analysis of landscape with similar lithological structures and geology.…”

Section: Figure 6 Eritrea's Topographic Characteristicsmentioning

confidence: 95%

Environmentally Conscious Least Cost Multi-Criteria Decision Making for Modeling Railway Network for Eritrea

Mengisti¹,

Gala²,

Birru³

2021

IJSDP

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A proper development of railway transportation is critical for sustainable socio-economic and environmental benefits. Nonetheless, in Eritrea, a country that once had a vibrant railway system, it is currently nonfunctional. There are also ambitious sectoral investments in neighboring Ethiopia and Sudan, pressing Eritrea to revitalize its decimated railway transportation system. Therefore, this study used population settlement pattern, environmental and physical criteria as inputs to a least-cost multi-criteria decision-making for modeling the railway network for Eritrea. Accordingly, seven railway routes, covering a total of 1, 610 km distance, were modeled. Four are running in the north-to-south directions, while three are running in the east-to-west directions. This railway network will give services to 5 out of 6 Eritrean’s administrative regions, where 93% of the estimated 5.8 million people reside. Additionally, it will service the 21 urban centers, where an estimated population of 1,658,749 live; approximately 70% of Eritrea’s urban population. Besides, it shall boost regional integration, peace, and development thereof, in an otherwise conflict-ravaged geographical region.

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“…Soil properties such as thickness, permeability, water-holding capacity, and moisture content influence the rainfall-runoff process [30] . These properties are mainly controlled by the soil textural classes.…”

Section: Soils Datamentioning

confidence: 99%

Likelihoods of Flood Hazards and Risks Using GIS-Based Analytical Hierarchy Process (AHP)

2023

AJEE

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Flood, as a hydrological phenomenon caused by a significant surge in the runoff water that overwhelms and overflows a drain, river, or stream, usually after heavy rainfall, tropical storms, and cyclones, has various impacts on Caribbean islands. Its adverse impacts include loss of human and domestic life, deteriorating public health, and damages to properties, and croplands. The Caribbean island of Jamaica is located in the geographical area where the current and forecasted hydrological, physical, climatic, and human conditions are set for probable flood hazard occurrences. Therefore, this study aimed at estimating the likelihood of flood hazard occurrences, and associated risk for Saint James Parish, Jamaica, and its port city of Montego Bay. It deployed a rather simple but robust method involving the Geographic Information Systems (GIS)-based Analytical Hierarchy Process (AHP) of multicriteria analysis. The AHP enlisted, prioritized (ranked), and weighed the criteria (i.e., land cover, soil, drainage density, elevation, slope, rainfall, land use, and population data) and integrated with the Weighted Sum Model (WSM) to arrive at the estimation. Accordingly, 36% of the study area is assessed to experience a very high and high probability of flood hazard occurrences. On the other hand, 25% of the study area is subjected to risks of high and very high exposure and vulnerability to the hazard. Wetlands are the most adversely impacted land-use and landcover types (i.e., 100%) followed by Builtup areas (i.e., 74%) and agricultural croplands (24%), indicating the unique vulnerability of the area to the hazards, and damages thereof. The GIS-based Multicriteria Analysis of flood risk factors of Montego Bay and surrounding areas revealed varying likelihoods of flood hazard occurrences, exposure, and vulnerability warrants policy-making attention. The expansion of public education on flood hazard areas-that is, areas where there is a 1 percent chance of a flood occurring in any given year (a 100year flood)-efficiency in response time, knowledge of flood control regulations, planning, and preparedness-is also advised in-order-to enforce citizens' environmental responsibilities.

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Evaluating Biophysical Attributes of Environmentally Degraded Landscapes in Northern Ethiopia using LANDSAT ETM data and GIS

Cited by 5 publications

References 6 publications

Analysis of the Pattern of Land Degradation in Okaba, Kogi State, Nigeria

Analysis of the Pattern of Land Degradation in Okaba, Kogi State, Nigeria

Environmentally Conscious Least Cost Multi-Criteria Decision Making for Modeling Railway Network for Eritrea

Likelihoods of Flood Hazards and Risks Using GIS-Based Analytical Hierarchy Process (AHP)

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