Climatological Modelling of Temperature and Rainfall: The Remote Sensing and GIS approach - Couverture souple

Samanta, Sailesh

 
9783846594049: Climatological Modelling of Temperature and Rainfall: The Remote Sensing and GIS approach
Couverture souple
ISBN 10 : 3846594040 ISBN 13 : 9783846594049
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Agriculture in India is the means of livelihood of almost two thirds of the work force in the country. Although in terms of its share to India’s GDP it ranks third, yet it has always been India’s most important economic sector in terms food security and job creation. Climate and agriculture are interrelated entities, both having global implications. Many disciplines use these climate variables as a basis to understand the processes they study. Evidently the information is limited to the available meteorological stations and therefore to discrete points of the space. To understand the weather and climatic condition over a continuous space (where weather or climate station is not present) one needs to resort to the modern techniques like spatial interpolation by Geographic Information System (GIS). This work attempts to develop statistical model to forecast temperature and precipitation in Gangetic West Bengal and its neighborhood, where a number of weather systems occur throughout the year based on different dependent and independent variables derived from Remote Sensing and other sources. The model output and the standard error raster matrixes are used to build final maps.

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Présentation de l'éditeur

Agriculture in India is the means of livelihood of almost two thirds of the work force in the country. Although in terms of its share to India’s GDP it ranks third, yet it has always been India’s most important economic sector in terms food security and job creation. Climate and agriculture are interrelated entities, both having global implications. Many disciplines use these climate variables as a basis to understand the processes they study. Evidently the information is limited to the available meteorological stations and therefore to discrete points of the space. To understand the weather and climatic condition over a continuous space (where weather or climate station is not present) one needs to resort to the modern techniques like spatial interpolation by Geographic Information System (GIS). This work attempts to develop statistical model to forecast temperature and precipitation in Gangetic West Bengal and its neighborhood, where a number of weather systems occur throughout the year based on different dependent and independent variables derived from Remote Sensing and other sources. The model output and the standard error raster matrixes are used to build final maps.

Biographie de l'auteur

He received his Ph.D degree from Vidyasagar University, India. He is currently working as a Lecturer at the Department of Surveying and Land Studies of Papua New Guinea University of Technology since year 2008.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3846594040
ISBN 13 
9783846594049
Reliure
Broché
Nombre de pages
156
Coordonnées du fabricant
non disponible
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