2021
DOI: 10.1007/s42452-021-04915-8
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Analysing land use/land cover changes and its dynamics using remote sensing and GIS in Gubalafito district, Northeastern Ethiopia

Abstract: Mapping and quantifying the status of Land use/Land cover (LULC) changes and drivers of change are important for identifying vulnerable areas for change and designing sustainable ecosystem services. This study analyzed the status of LULC changes and key drivers of change for the last 30 years through a combination of remote sensing and GIS with the surveying of the local community understanding of LULC patterns and drivers in the Gubalafto district, Northeastern Ethiopia. Five major LULC types (cultivated and … Show more

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Cited by 81 publications
(43 citation statements)
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“…This map detects more subtle classes of change and determines the invasive pine and its spread over the selected landscape. An important aspect of change detection is determining what is changing to what category of land use type (Abebe et al, 2021 ). Therefore, a vegetation conversion matrix was calculated to demonstrate the direction of change and the land use type that remains at the end of the study period.…”
Section: Methodsmentioning
confidence: 99%
“…This map detects more subtle classes of change and determines the invasive pine and its spread over the selected landscape. An important aspect of change detection is determining what is changing to what category of land use type (Abebe et al, 2021 ). Therefore, a vegetation conversion matrix was calculated to demonstrate the direction of change and the land use type that remains at the end of the study period.…”
Section: Methodsmentioning
confidence: 99%
“…The land cover types were extracted from the Landsat 8 images using the ERDAS Imagine software, and the maximum likelihood classification approach [73][74][75] was employed for this. The slope was determined from the DEM using the ArcGIS surface (spatial analyst) tool.…”
Section: Derivation Of Conditioning Factorsmentioning
confidence: 99%
“…The choice of this type of satellite favors the study and analysis of surface reflectance. Among the monitoring indices of vegetation dynamics that is based on the monitoring of surface reflectance is the normalized difference vegetation index (NDVI) used to better characterize the spatial extent of drought events and to monitor the vegetation status [Congedo, 2020; Abebe et al 2022;Jiang et al 2022]. In summary, the objective of this study is to explore the changes of LU/LC of the sub-basin in Morocco and to monitor the vegetation status that is affected by precipitation inputs and drought status in the area.…”
Section: Introductionmentioning
confidence: 99%