Articles liés à Remote Sensing of Vegetation Water and Fire Risk: Selected...

Remote Sensing of Vegetation Water and Fire Risk: Selected Research Topics - Couverture souple

Dasgupta, Swarvanu

 
9783836482899: Remote Sensing of Vegetation Water and Fire Risk: Selected Research Topics
Couverture souple
ISBN 10 : 3836482894 ISBN 13 : 9783836482899
Editeur : VDM Verlag, 2009

Synopsis

The research presented in this book is aimed at reviewing, evaluating and improving remote sensing techniques for vegetation water and fire risk estimation. Coupled reflectance models, fire spread models and meteorological data is first used to estimate expected errors in remote sensing based vegetation moisture retrievals and understand the effect of such uncertainties on fire spread rate predictions. An analysis of the characteristics of soil and canopy reflectance is then used as a basis for designing a vegetation water index, which is more resistant to soil reflectance contamination. Vegetation water content estimation using the improved index is shown to reduce soil moisture related errors over low vegetation areas, where soil reflectance contamination is a major problem. This work also uses the physical concept of pre-ignition energy to propose a new remote sensing based fire risk index. The physical basis of this new Fire Susceptibility Index offers several advantages over other fire risk indices. The new approaches described in this book would be helpful for fire risk monitoring, agricultural applications and climate studies.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The research presented in this book is aimed at reviewing, evaluating and improving remote sensing techniques for vegetation water and fire risk estimation. Coupled reflectance models, fire spread models and meteorological data is first used to estimate expected errors in remote sensing based vegetation moisture retrievals and understand the effect of such uncertainties on fire spread rate predictions. An analysis of the characteristics of soil and canopy reflectance is then used as a basis for designing a vegetation water index, which is more resistant to soil reflectance contamination. Vegetation water content estimation using the improved index is shown to reduce soil moisture related errors over low vegetation areas, where soil reflectance contamination is a major problem. This work also uses the physical concept of pre-ignition energy to propose a new remote sensing based fire risk index. The physical basis of this new Fire Susceptibility Index offers several advantages over other fire risk indices. The new approaches described in this book would be helpful for fire risk monitoring, agricultural applications and climate studies.

Biographie de l'auteur

Dr. Dasgupta received his Ph.D in Computational Sciences & Informatics from George Mason University in 2007. In 2006 he was awarded the NASA Earth System Science Fellowship to conduct research on the remote sensing of fire risk and vegetation moisture. He is also involved in research and development of satellite direct broadcast technologies.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag
Date d'édition
2009
Langue
anglais
ISBN 10 
3836482894
ISBN 13 
9783836482899
Reliure
Broché
Nombre de pages
176
Coordonnées du fabricant
non disponible
Personne responsable
non disponible