Abstract
The <i>Journal of Applied Remote Sensing</i> (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial and scientific applications.
Highlights
Urban environments are characterized by heterogeneous surface covers with significant spatial and spectral variations, and airborne hyperspectral imagery with high spatial and spectral resolutions offers an effective tool to analyze complex urban scenes
The objective of this special section of the Journal of Applied Remote Sensing is to provide a snapshot of status, potentials, and challenges of high-spatial-resolution hyperspectral imagery in urban feature extraction and land use interpretation in support of urban monitoring and management decisions
“Combining data mining algorithm and object-based image analysis for detailed urban mapping of hyperspectral images” by Hamedianfar et al explores the combined performance of a data mining algorithm and object-based image analysis, which can produce high accuracy of urban surface mapping
Summary
Urban environments are characterized by heterogeneous surface covers with significant spatial and spectral variations, and airborne hyperspectral imagery with high spatial and spectral resolutions offers an effective tool to analyze complex urban scenes. The objective of this special section of the Journal of Applied Remote Sensing is to provide a snapshot of status, potentials, and challenges of high-spatial-resolution hyperspectral imagery in urban feature extraction and land use interpretation in support of urban monitoring and management decisions.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
