@article{1442665,
      recid = {1442665},
      author = {Laake, Andreas,},
      title = {Remote sensing for hydrocarbon exploration /},
      pages = {1 online resource (lvii, 348 pages) :},
      abstract = {This book provides insights into the benefits of using  remote sensing data from a geoscientist's perspective, by  integrating the data with the understanding of Earth's  surface and subsurface. In 3 sections, the book takes a  detailed look at what data explorationists use when they  explore for hydrocarbon resources, assess different terrain  types for planning and hazards and extract present-day  geologic analogs for subsurface geologic settings. The book  presents the usage of remote sensing data in exploration in  a structured way by detecting individual geologic features  as building blocks for complex geologic systems. This  concept enables readers to build their own workflows for  the assessment of complex geologic systems using various  combinations of remote sensing data. Section 1 introduces  readers to the foundations of remote sensing for  exploration, covers various methods of image processing and  studies different digital elevation and bathymetry models.  Section 2 presents the concept of geomorphology as a means  to integrate surface and subsurface data. Different aspects  of rendering in 2D and 3D are explained and used for the  interpretation and extraction of geologic features that are  used in exploration. Section 3 addresses remote sensing for  hydrocarbon exploration in detail, from geophysical data  acquisition to development and infrastructure planning. The  organization of this chapter follows an exploration  workflow from regional to local modeling studying basin and  petroleum system modeling as well as logistics planning of  seismic surveys and near-surface modeling. Aspects of field  development and infrastructure planning comprise  multi-temporal and dynamic modeling. The section closes  with a structured approach to extracting geologic analogs  from interpreted remote sensing data. The book will be of  interest to professionals and students working in  exploration for hydrocarbons and water resources, as well  as geoscientists and engineers using remote sensing for  infrastructure planning, hazard assessment and dynamic  environmental studies.},
      url = {http://library.usi.edu/record/1442665},
      doi = {https://doi.org/10.1007/978-3-030-73319-3},
}