Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1213-1220, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-1213-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
24 Jun 2016
VOLUMETRIC FOREST CHANGE DETECTION THROUGH VHR SATELLITE IMAGERY
Devrim Akca1, Efstratios Stylianidis2, Konstantinos Smagas3, Martin Hofer4, Daniela Poli1, Armin Gruen1,5, Victor Sanchez Martin6, Orhan Altan7,8, Andreas Walli4, Elisa Jimeno6, and Alejandro Garcia6 14DiXplorer AG, Zurich, Switzerland
2School of Urban-Regional Planning and Development Engineering, Aristotle University of Thessaloniki, Greece
3GeoImaging Ltd, Nicosia, Cyprus
4GeoVille Information Systems GmbH, Innsbruck, Austria
5Chair of Information Architecture, ETH Zurich, Switzerland
6Ingeniería Y Soluciones Informáticas S.L., Sevilla, Spain
7Ekinoks Surveying Software Engineering Ltd, Istanbul, Turkey
8Department of Geomatics Engineering, Istanbul Technical University, Turkey
Keywords: Forest, VHR satellite imagery, orientation, image matching, DSM generation, 3D change detection Abstract. Quick and economical ways of detecting of planimetric and volumetric changes of forest areas are in high demand. A research platform, called FORSAT (A satellite processing platform for high resolution forest assessment), was developed for the extraction of 3D geometric information from VHR (very-high resolution) imagery from satellite optical sensors and automatic change detection. This 3D forest information solution was developed during a Eurostars project. FORSAT includes two main units. The first one is dedicated to the geometric and radiometric processing of satellite optical imagery and 2D/3D information extraction. This includes: image radiometric pre-processing, image and ground point measurement, improvement of geometric sensor orientation, quasiepipolar image generation for stereo measurements, digital surface model (DSM) extraction by using a precise and robust image matching approach specially designed for VHR satellite imagery, generation of orthoimages, and 3D measurements in single images using mono-plotting and in stereo images as well as triplets. FORSAT supports most of the VHR optically imagery commonly used for civil applications: IKONOS, OrbView – 3, SPOT – 5 HRS, SPOT – 5 HRG, QuickBird, GeoEye-1, WorldView-1/2, Pléiades 1A/1B, SPOT 6/7, and sensors of similar type to be expected in the future. The second unit of FORSAT is dedicated to 3D surface comparison for change detection. It allows users to import digital elevation models (DEMs), align them using an advanced 3D surface matching approach and calculate the 3D differences and volume changes between epochs. To this end our 3D surface matching method LS3D is being used. FORSAT is a single source and flexible forest information solution with a very competitive price/quality ratio, allowing expert and non-expert remote sensing users to monitor forests in three and four dimensions from VHR optical imagery for many forest information needs. The capacity and benefits of FORSAT have been tested in six case studies located in Austria, Cyprus, Spain, Switzerland and Turkey, using optical data from different sensors and with the purpose to monitor forest with different geometric characteristics. The validation run on Cyprus dataset is reported and commented.
Conference paper (PDF, 2203 KB)


Citation: Akca, D., Stylianidis, E., Smagas, K., Hofer, M., Poli, D., Gruen, A., Sanchez Martin, V., Altan, O., Walli, A., Jimeno, E., and Garcia, A.: VOLUMETRIC FOREST CHANGE DETECTION THROUGH VHR SATELLITE IMAGERY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1213-1220, https://doi.org/10.5194/isprs-archives-XLI-B8-1213-2016, 2016.

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