ARTÍCULO
TITULO

Identifying Land Use/Cover Dynamics in the Koga Catchment, Ethiopia, from Multi-Scale Data, and Implications for Environmental Change

Eleni Yeshaneh    
Wolfgang Wagner    
Michael Exner-Kittridge    
Dagnachew Legesse and Günter Blöschl    

Resumen

No disponible

 Artículos similares

       
 
Clemens A. Pilgram, Sarah E. West     Pág. 267?292
Transit station area land-use characteristics can increase or decrease the perceived costs of riding rail relative to driving or taking other modes. This paper focuses on those characteristics that create discomfort to riders who are walking between stat... ver más

 
Ritambhara K. Upadhyay, Gaurav Tripathi, Bojan Ðurin, Sanja ?amanovic, Vlado Cetl, Naval Kishore, Mukta Sharma, Suraj Kumar Singh, Shruti Kanga, Md Wasim, Praveen Kumar Rai and Vinay Bhardwaj    
The immense dependence of the growing population on groundwater has resulted in depletion at a fast pace can be seen nowadays. Identifying a groundwater potential zone can be proved as an aid to provide insight to the decision-makers and local authoritie... ver más
Revista: Water

 
Minmeng Tang, Tri Dev Acharya and Deb A. Niemeier    
Black carbon (BC) is a significant source of air pollution since it impacts public health and climate change. Understanding its distribution in the complex urban environment is challenging. We integrated a land use model with four machine learning models... ver más

 
Bingbing Zhao, Xiaoyong Tan, Liang Luo, Min Deng and Xuexi Yang    
The inefficient use of urban resources and the imbalance of spatial structures make optimizing land use management a top priority in urban environmental management. Traditional land use classification systems that prioritize only natural features while d... ver más

 
W. M. D. C. Wijesinghe, Prabuddh Kumar Mishra, Sumita Tripathi, Kamal Abdelrahman, Anuj Tiwari and Mohammed S. Fnais    
This research aimed to apply the geospatial techniques and Analytical Hierarchy Process (AHP) approach to find vulnerable areas in terms of flooding in the Neluwa area, Sri Lanka. The study incorporated nine relevant criteria for the vulnerability classi... ver más
Revista: Water