DETECTING DISEASE: BY UNIFYING TWO METHODS OF REMOTE SENSING - Couverture souple

Reames, Stephen

 
9783843368940: DETECTING DISEASE: BY UNIFYING TWO METHODS OF REMOTE SENSING
Couverture souple
ISBN 10 : 3843368945 ISBN 13 : 9783843368940
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

There is currently no effective tool available to quickly and economically measure a change in landmass in the setting of biomedical professionals and environmental specialists. The purpose of this study is to structure and demonstrate a statistical change- detection method using remotely sensed data that can detect the presence of an infectious land borne disease. Data sources included the Texas Department of Health database, which provided the types of infectious land borne diseases and indicated the geographical area to study. A method was developed to identify statistically the severity of changes of the landmass over a three-year period. Data analysis included using a unique statistical detection procedure to measure the severity of change in landmass when a disease was not present and when the disease was present. The statistical detection method was applied to two different remotely sensed platform types and again to two like remotely sensed platform types. The results indicated that when the statistical change detection method was used for two different types of remote sensing mediums (i.e.- digital orthophoto quadrangle and aerial videography)

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Présentation de l'éditeur

There is currently no effective tool available to quickly and economically measure a change in landmass in the setting of biomedical professionals and environmental specialists. The purpose of this study is to structure and demonstrate a statistical change- detection method using remotely sensed data that can detect the presence of an infectious land borne disease. Data sources included the Texas Department of Health database, which provided the types of infectious land borne diseases and indicated the geographical area to study. A method was developed to identify statistically the severity of changes of the landmass over a three-year period. Data analysis included using a unique statistical detection procedure to measure the severity of change in landmass when a disease was not present and when the disease was present. The statistical detection method was applied to two different remotely sensed platform types and again to two like remotely sensed platform types. The results indicated that when the statistical change detection method was used for two different types of remote sensing mediums (i.e.- digital orthophoto quadrangle and aerial videography)

Biographie de l'auteur

Dr. Steve Reames, Fulbright Scholar (2006-2007), has taught in higher education since 1989. Graduated with a Ph.D. in Information Science from the University of North Texas and is a retired tenured professor from the Texas Tech University System. He researches environmental impact on society and global information interchange

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3843368945
ISBN 13 
9783843368940
Reliure
Broché
Nombre de pages
156
Coordonnées du fabricant
non disponible
Personne responsable
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