Faculty of Mathematics and Natural Sciences - Earth Observation Lab

Faculty of Mathematics and Natural Sciences | Geography Department | Earth Observation Lab | News | Archive | New paper in Remote Sensing of Environment by Akpona Okujeni et al.

New paper in Remote Sensing of Environment by Akpona Okujeni et al.

on "Extending the vegetation–impervious–soil model using simulated EnMAP data and machine learning".

Summary:

"Upcoming spaceborne imaging spectrometers will create novel opportunities for environmental research. In this study, we explored the potential of the hyperspectral satellite mission EnMAP for urban remote sensing, specifically to extend Ridd’s well recognized VIS model. We used a simulated EnMAP scene and support vector regression combined with synthetically mixed training data for quantifying land cover along an urban-rural gradient. The method was successfully tested on airborne HyMap imagery and now transferred to spaceborne-like imaging spectrometer data. Results demonstrate the use of EnMAP data for accurate mapping of VIS and, moreover, the possibility to extend VIS by more detailed sub-categories. Our paper further includes a comprehensive analysis and discussion of benefits and limitations of EnMAP data compared to hyperspectral airborne and multispectral spaceborne imagery. With this work, we provide insights into applications of spaceborne imaging spectrometry."

 

Find the full paper here: http://www.sciencedirect.com/science/article/pii/S0034425714004507#