Land suitability analysis of Moringa oleifera tree cultivation is important to enhance its product,as the demand forthis tree for medicinal values and food sources is increasing worldwide.Therefore,this study aimed to...Land suitability analysis of Moringa oleifera tree cultivation is important to enhance its product,as the demand forthis tree for medicinal values and food sources is increasing worldwide.Therefore,this study aimed to assess suitableland for Moringa oleifera tree cultivation by using the integration of multi-criteria evaluation with geospatialtechnologies in the Dhidhessa catchment,western Ethiopia.Five parameters,namely:slope,land use and landcover(LULC),soil texture,land surface temperature,and rainfall data,were used in this study.The land suitabilityevaluation of Moringa oleifera is classified into three classes as highly suitable,moderately suitable,and notsuitable.The results revealed that,about 344.4 km2(12.2%)of the area is categorized into highly suitable,and2343.7 km2(83%)is moderately suitable for Moringa tree,whereas,137.2 km2(4.9%)is categorized as notsuitable for Moringa oleifera tree cultivation.Hence,based on the finding of the study,we suggested that farmers andother stakeholders can cultivate Moringa oleifera trees in the Dhidhessa catchment.展开更多
Sesame and groundnut crops are the major oilseed crops produced for exports and local consumptions in Ethiopia.This study attempted to evaluate land suitability for oilseeds crops using Geographic Information Systems(...Sesame and groundnut crops are the major oilseed crops produced for exports and local consumptions in Ethiopia.This study attempted to evaluate land suitability for oilseeds crops using Geographic Information Systems(GIS)and multi-criteria evaluation in Diga district of East Wollega zone,western Ethiopia.To support the growing population,sesame and groundnut land suitability evaluations were carried out to ensure the sustainability of agricultural production.Different data inputs were used,including mainly climate data(temperature and rainfall),topography data(slope),soil data(soil texture,soil depth and soil drainage),and infrastructure data(road and market).In this study,sesame and groundnut land suitability areas were categorized into 4 classes:highly suitable,moderately suitable,marginally suitable,and not suitable.The result revealed that,about 252.1 ha(0.4%)and 113.1 ha(0.2%)were highly suitable for sesame and groundnut respectively.Result showed that most parts of the study area were moderately suitable for sesame and groundnut productions.Specially,the central and western parts of the study area were highly suitable and moderately suitable for sesame production.The study recommended the local communities to utilize the existing potential of the study area for sesame and groundnut productions.Moreover,decision makers should promote the suitability of the area for both small-and large-scale investment on sesame and groundnut production.展开更多
Physical land suitability assessment is a prerequisite for enhancing yield production and enables the agricultural communities to use the right place for the right crops.Maize is one of stable one food crops of Ethiop...Physical land suitability assessment is a prerequisite for enhancing yield production and enables the agricultural communities to use the right place for the right crops.Maize is one of stable one food crops of Ethiopia and cultivated in three agroecological zones:highland,midland and lowlands.Despite these facts,maize yield is very low due to a lack of knowledge and information gaps on land suitability.Physical land suitability for maize cultivation is essential to minimize the problem of food security.The present study aims to identify the potential land suitability for maize production in the Didessa watershed,Western Ethiopia using Multi-Criteria Evaluation(MCE)and geospatial technologies.Land use land cover(LULC)change,climate,topography,soil,and infrastructure facilities were considered for maize land suitability assessment.The MCE based pairwise comparison matrix was applied to estimate land suitability for maize crop cultivation.The results showed that,about 977.7 km^(2)(14.1%)is highly suitable,4794.9 km^(2)(69.1%)is moderately suitable while 1118.8 km^(2)(16.1%),and 51.5 km^(2)(0.7%)of the study area were categorized under marginally and not suitable for maize production,respectively.This research provides crucial information for decision making organs and the farming community to utilize potential areas for maize cultivation.展开更多
Degradation of vegetation cover and expansion of barren land are remained the leading environmental problem at global level.Land surface temperature(LST),Normalized Difference Vegetation Index(NDVI),Normalized Differe...Degradation of vegetation cover and expansion of barren land are remained the leading environmental problem at global level.Land surface temperature(LST),Normalized Difference Vegetation Index(NDVI),Normalized Difference Barren Index(NDBaI),and Modified Normalized Difference Water Index(MNDWI)were used to quantify the changing relationships using correlation analysis.This study attempted to analyze the relationship between LST and NDVI,NDBaI,and MNDWI using Geospatial technologies in Gida Kiremu,Limu,and Amuru districts in Western Ethiopia.All indices were estimated by using thermal bands and multispectral bands from Landsat TM 1990,Landsat ETM+2003,and Landsat OLI/TIRS 2020.The correlation of LST with NDVI,NDBaI and MNDWI were analyzed by using scatter plot.Accordingly,the NDBaI was positive correlation with LST(R 2=0.96).However,NDVI and MNDWI were substantially negative relationship with LST(R 2=0.99,0.95),respectively.The result shows that,LST was increased by 5℃due to decline of vegetation cover and increasing of bare land over the study periods.Finally,our result recommended that,decision-makers and environmental analysts should give attention on the importance of vegetation cover,water bodies and wetland in climate change mitigation,particularly,LST in the study area.展开更多
文摘Land suitability analysis of Moringa oleifera tree cultivation is important to enhance its product,as the demand forthis tree for medicinal values and food sources is increasing worldwide.Therefore,this study aimed to assess suitableland for Moringa oleifera tree cultivation by using the integration of multi-criteria evaluation with geospatialtechnologies in the Dhidhessa catchment,western Ethiopia.Five parameters,namely:slope,land use and landcover(LULC),soil texture,land surface temperature,and rainfall data,were used in this study.The land suitabilityevaluation of Moringa oleifera is classified into three classes as highly suitable,moderately suitable,and notsuitable.The results revealed that,about 344.4 km2(12.2%)of the area is categorized into highly suitable,and2343.7 km2(83%)is moderately suitable for Moringa tree,whereas,137.2 km2(4.9%)is categorized as notsuitable for Moringa oleifera tree cultivation.Hence,based on the finding of the study,we suggested that farmers andother stakeholders can cultivate Moringa oleifera trees in the Dhidhessa catchment.
文摘Sesame and groundnut crops are the major oilseed crops produced for exports and local consumptions in Ethiopia.This study attempted to evaluate land suitability for oilseeds crops using Geographic Information Systems(GIS)and multi-criteria evaluation in Diga district of East Wollega zone,western Ethiopia.To support the growing population,sesame and groundnut land suitability evaluations were carried out to ensure the sustainability of agricultural production.Different data inputs were used,including mainly climate data(temperature and rainfall),topography data(slope),soil data(soil texture,soil depth and soil drainage),and infrastructure data(road and market).In this study,sesame and groundnut land suitability areas were categorized into 4 classes:highly suitable,moderately suitable,marginally suitable,and not suitable.The result revealed that,about 252.1 ha(0.4%)and 113.1 ha(0.2%)were highly suitable for sesame and groundnut respectively.Result showed that most parts of the study area were moderately suitable for sesame and groundnut productions.Specially,the central and western parts of the study area were highly suitable and moderately suitable for sesame production.The study recommended the local communities to utilize the existing potential of the study area for sesame and groundnut productions.Moreover,decision makers should promote the suitability of the area for both small-and large-scale investment on sesame and groundnut production.
文摘Physical land suitability assessment is a prerequisite for enhancing yield production and enables the agricultural communities to use the right place for the right crops.Maize is one of stable one food crops of Ethiopia and cultivated in three agroecological zones:highland,midland and lowlands.Despite these facts,maize yield is very low due to a lack of knowledge and information gaps on land suitability.Physical land suitability for maize cultivation is essential to minimize the problem of food security.The present study aims to identify the potential land suitability for maize production in the Didessa watershed,Western Ethiopia using Multi-Criteria Evaluation(MCE)and geospatial technologies.Land use land cover(LULC)change,climate,topography,soil,and infrastructure facilities were considered for maize land suitability assessment.The MCE based pairwise comparison matrix was applied to estimate land suitability for maize crop cultivation.The results showed that,about 977.7 km^(2)(14.1%)is highly suitable,4794.9 km^(2)(69.1%)is moderately suitable while 1118.8 km^(2)(16.1%),and 51.5 km^(2)(0.7%)of the study area were categorized under marginally and not suitable for maize production,respectively.This research provides crucial information for decision making organs and the farming community to utilize potential areas for maize cultivation.
文摘Degradation of vegetation cover and expansion of barren land are remained the leading environmental problem at global level.Land surface temperature(LST),Normalized Difference Vegetation Index(NDVI),Normalized Difference Barren Index(NDBaI),and Modified Normalized Difference Water Index(MNDWI)were used to quantify the changing relationships using correlation analysis.This study attempted to analyze the relationship between LST and NDVI,NDBaI,and MNDWI using Geospatial technologies in Gida Kiremu,Limu,and Amuru districts in Western Ethiopia.All indices were estimated by using thermal bands and multispectral bands from Landsat TM 1990,Landsat ETM+2003,and Landsat OLI/TIRS 2020.The correlation of LST with NDVI,NDBaI and MNDWI were analyzed by using scatter plot.Accordingly,the NDBaI was positive correlation with LST(R 2=0.96).However,NDVI and MNDWI were substantially negative relationship with LST(R 2=0.99,0.95),respectively.The result shows that,LST was increased by 5℃due to decline of vegetation cover and increasing of bare land over the study periods.Finally,our result recommended that,decision-makers and environmental analysts should give attention on the importance of vegetation cover,water bodies and wetland in climate change mitigation,particularly,LST in the study area.
