Pre- and post-fire comparison of forest areas in 3D
Yükleniyor...
Dosyalar
Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Berlin Heidelberg
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A satellite processing platform for high resolution forest assessment (FORSAT) was developed. It generates the digital surface models (DSMs) of the forest canopy by advanced processing of the very-high resolution (VHR) optical satellite imagery and automatically matches the pre- and post-fire DSMs for 3D change detection. The FORSAT software system can perform the following tasks: pre-processing, point measurement, orientation, quasi-epipolar image generation, image matching, DSM extraction, orthoimage generation, photogrammetric restitution either in mono-plotting mode or in stereo models, 3D surface matching, co-registration, comparison and change detection. It can thoroughly calculate the planimetric and volumetric changes between the epochs. It supports most of the VHR optical imagery commonly used for civil applications. Capabilities of FORSAT have been tested in two real forest fire cases, where the burned areas are located in Cyprus and Austria. The geometric characteristics of burned forest areas have been identified both in 2D plane and 3D volume dimensions, using pre- and post-fire optical image data from different sensors. The test studies showed that FORSAT is an operational software capable of providing spatial (3D) and temporal (4D) information for monitoring of forest fire areas and sustainable forest management. Beyond the wildfires, it can be used for many other forest information needs.
Açıklama
Anahtar Kelimeler
Deforestation, Disaster prevention, Disasters, Fire hazards, Fires, Geometrical optics, Intelligent systems, Satellite imagery, Software testing, Three dimensional computer graphics, Automatically match, Digital surface models, Geometric characteristics, Operational software, Optical satellite imagery, Processing platform, Sustainable forest management, Very high resolution, Stereo image processing
Kaynak
Lecture Notes in Geoinformation and Cartography
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
Sayı
Künye
Akca, D., Stylianidis, E., Poli, D., Gruen, A., Altan, M. O., Hofer, M., . . . & Garcia, A. (2019). Pre- and post-fire comparison of forest areas in 3D, 265-294. doi:10.1007/978-3-030-05330-7_11
