Change Analysis of Watersheds using Remote Sensing & GIS applications: A Comparative Case Study of Rawal and Simly Watershed, Pakistan - Couverture souple

Butt, Amna

 
9783659759567: Change Analysis of Watersheds using Remote Sensing & GIS applications: A Comparative Case Study of Rawal and Simly Watershed, Pakistan
Couverture souple
ISBN 10 : 3659759562 ISBN 13 : 9783659759567
Editeur : LAP LAMBERT Academic Publishing, 2015

Synopsis

Evaluation of watersheds and development of a management strategy requires accurate measurement of the past and present land cover/land use parameters as changes observed in these parameters determine the hydrological and ecological processes taking place in a watershed. Present study was thus focused on presenting a comparative case study for detecting the change analysis of two watersheds in Islamabad, namely Rawal and Simly Watershed using satellite data obtained from Landsat 5 and SPOT 5 for the years 1992 and 2012 respectively. Land cover and land use change was detected by applying Supervised classification-maximum likelihood algorithm in ERDAS IMAGINE and five land classes were delineated viz., Agriculture, Bare soil/Rocks, Settlements, Vegetation and Water. Furthermore, land cover/land use and overlay maps for both Watersheds were created in ArcGIS. Achieved overall classification accuracies were 95.32% and 95.13%, while Kappa statistics were 0.9237 and 0.9070 for the final land cover/use maps of 1992 and 2012 respectively.

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Présentation de l'éditeur

Evaluation of watersheds and development of a management strategy requires accurate measurement of the past and present land cover/land use parameters as changes observed in these parameters determine the hydrological and ecological processes taking place in a watershed. Present study was thus focused on presenting a comparative case study for detecting the change analysis of two watersheds in Islamabad, namely Rawal and Simly Watershed using satellite data obtained from Landsat 5 and SPOT 5 for the years 1992 and 2012 respectively. Land cover and land use change was detected by applying Supervised classification-maximum likelihood algorithm in ERDAS IMAGINE and five land classes were delineated viz., Agriculture, Bare soil/Rocks, Settlements, Vegetation and Water. Furthermore, land cover/land use and overlay maps for both Watersheds were created in ArcGIS. Achieved overall classification accuracies were 95.32% and 95.13%, while Kappa statistics were 0.9237 and 0.9070 for the final land cover/use maps of 1992 and 2012 respectively.

Biographie de l'auteur

Amna Butt has completed her M.Phil in Environmental Sciences with distinction and is currently working as Research Associate. She endeavors to pursue her research in the respective field with dedication, devotion and honesty and to seek opportunities to utilize and enhance her knowledge. She is author of several publications in her field.

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
2015
Langue
anglais
ISBN 10 
3659759562
ISBN 13 
9783659759567
Reliure
Broché
Nombre de pages
124
Coordonnées du fabricant
non disponible
Personne responsable
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