I would like in a small urban area (almost 10 km2) to extract buildings in order to have in a polygon shape file for using in ArcGIS software. Which is the best Remote Sensing data in order to do it?
Dear Kleomenis, WorldView and QuickBird are the best for this job. We used those products for building´s surface calculation for tax porpuses and it did perfectly. The latest products available have very good spatial and spectral resolution even for automatic extraction of info, but all depends of many conditions like presence of big trees, latitude, time of day in which the scene was taken, among others.http://www.digitalglobe.com/about/our-constellation and http://www.satimagingcorp.com/satellite-sensors/quickbird/
I agree with the aforementioned answers. But if you want to use free data, the only choise that you have is the Sentinel-2 (10m s.r.), or you can look in earth explorer http://earthexplorer.usgs.gov/, in commercial satellite (IKONOS-2, Orb-View 3, Historical SPOT) if there is any dataset in your study area.
Then, there is a lot of ways to detect an urban area (indexes, classifications), but their accuracy depending on if it is dense or sparse.
hi, let us know if u need building features extraction or it's enough urban area extraction. In the latter case may be sufficient free data like landsat that provides also data for interesting diachronical survey.regards
Dr. Ozgun Ok maintains a satellite (IKONOS and QuickBird) building detection benchmark with ground truth data: http://biz.nevsehir.edu.tr/ozgunok/tr/407
http://biz.nevsehir.edu.tr/ozgunok/tr/407
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If it's available, airborne LiDAR is a clear favorite for building extraction, especially in areas with tall vegetation canopy. LiDAR's ability to penetrate canopy is very helpful for distinguishing between foliage and rooftops, and it is usually flown during leaf-off conditions to maximize penetration. Combining LiDAR with high resolution optical data may also help.