Lake Hawassa Watershed, in the Central Rift Valley, is one of the most environmentally vulnerable areas in Ethiopia. The rapidly increasing population and vegetation clearance in search of farming and grazing land, firewood, and construction materials have exerted pressure on the natural resources of the region. To understand the ongoing resource degradation and formulate mitigation strategies, accurate and timely information about land use land cover (LULC) changes and the driving forces is indispensable. Remote sensing and GIS are important tools for monitoring, mapping, and modelling of LULC changes at different spatial and temporal scales in order to assess the extent, direction and causes of the changes. The present research aimed at ...
Assessing and quantifying the current forest resources status underpins sustainable forest resources...
Anthropogenic factors are responsible for major land use and land cover changes (LULCC). Bale Mounta...
This study aimed to evaluate land use/land cover changes (1987–2017), prediction (2032–2047), and id...
Central Rift Valley (CRV) Ethiopia is an important region in terms of its vast ecosystem services (E...
Understanding the dynamic of land use/land cover (LULC) can assist relevant authorities in implement...
Land Use-Land Cover (LULC) dynamic has of human kind age and is one of the phenomenons which interwe...
Land use change is one of the challenges that aggravate environmental problems. Understanding the sc...
Northern Ethiopia is characterised by fragile mountain eco-systems that are highly susceptible to la...
Northern Ethiopia is characterised by fragile mountain eco-systems that are highly susceptible to la...
Technical complexities and the high cost of satellite images have hindered the adoption of remote se...
Land use and land cover change resulting from various complex interactions between a human being an...
This study explores the major drivers of Land-use/Land-cover (LULC) dynamics and the observed envi...
Abstract: Land use -land cover changes (LULCC) at Adei watershed (Ethiopia) over a period of 23 year...
This study analyzed more than 50 years of land cover and land use changes in the 260 km2 Koga catchm...
ABSTRACTLand Use and Land Cover Changes (LULC) are some of the worldwide factors that have the most ...
Assessing and quantifying the current forest resources status underpins sustainable forest resources...
Anthropogenic factors are responsible for major land use and land cover changes (LULCC). Bale Mounta...
This study aimed to evaluate land use/land cover changes (1987–2017), prediction (2032–2047), and id...
Central Rift Valley (CRV) Ethiopia is an important region in terms of its vast ecosystem services (E...
Understanding the dynamic of land use/land cover (LULC) can assist relevant authorities in implement...
Land Use-Land Cover (LULC) dynamic has of human kind age and is one of the phenomenons which interwe...
Land use change is one of the challenges that aggravate environmental problems. Understanding the sc...
Northern Ethiopia is characterised by fragile mountain eco-systems that are highly susceptible to la...
Northern Ethiopia is characterised by fragile mountain eco-systems that are highly susceptible to la...
Technical complexities and the high cost of satellite images have hindered the adoption of remote se...
Land use and land cover change resulting from various complex interactions between a human being an...
This study explores the major drivers of Land-use/Land-cover (LULC) dynamics and the observed envi...
Abstract: Land use -land cover changes (LULCC) at Adei watershed (Ethiopia) over a period of 23 year...
This study analyzed more than 50 years of land cover and land use changes in the 260 km2 Koga catchm...
ABSTRACTLand Use and Land Cover Changes (LULC) are some of the worldwide factors that have the most ...
Assessing and quantifying the current forest resources status underpins sustainable forest resources...
Anthropogenic factors are responsible for major land use and land cover changes (LULCC). Bale Mounta...
This study aimed to evaluate land use/land cover changes (1987–2017), prediction (2032–2047), and id...