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Atmospheric correction of ground-based thermal infrared camera through dart model

  • Tiangang Yin
  • , Simone Kotthaus
  • , Jean Philippe Gastellu-Etchegorry
  • , William Morrison
  • , Leslie K. Norford
  • , Sue Grimmond
  • , Nicolas Lauret
  • , Nektarios Chrysoulakis
  • , Ahmad Al Bitar
  • , Lucas Landier
  • Singapore-MIT Alliance for Research and Technology
  • University of Reading
  • Université Paul Sabatier
  • Massachusetts Institute of Technology
  • Foundation for Research and Technology-Hellas

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

We introduced an approach to simulate and separate atmospheric contribution in ground-based thermal-infrared (TIR) camera measurements. Different from the traditional approach which uses the look-up table built from 1-D radiative transfer model (RTM), this approach directly simulates 3-D ray propagations and interactions in the heterogeneous urban environment by using the Discrete Anisotropic Radiative Transfer (DART) model. The atmospheric turbid cells that occupy every part of the urban scene are created using the vertical constituent distribution and the optical property profiles in the existing databases or from the actual meteorological measurements. The two components of atmospheric effects on the TIR at-sensor radiance are attenuated transmission and path thermal emission. Taking both into account, the at-surface radiance corresponding to the signal emitted only from the urban surface can be derived.

langue originaleAnglais
titre2017 IEEE International Geoscience and Remote Sensing Symposium
Sous-titreInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
EditeurInstitute of Electrical and Electronics Engineers Inc.
Pages5885-5888
Nombre de pages4
ISBN (Electronique)9781509049516
Les DOIs
étatPublié - 1 déc. 2017
Modification externeOui
Evénement37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, États-Unis
Durée: 23 juil. 201728 juil. 2017

Série de publications

NomInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2017-July

Une conférence

Une conférence37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Pays/TerritoireÉtats-Unis
La villeFort Worth
période23/07/1728/07/17

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