Articles liés à GIS & Remote Sensing: Application in Natural Resources

GIS & Remote Sensing: Application in Natural Resources - Couverture souple

Saadat, Hossein; Adamowski, Jan Franklin; Namdar, Mohammad

 
9783659712746: GIS & Remote Sensing: Application in Natural Resources
Couverture souple
ISBN 10 : 3659712744 ISBN 13 : 9783659712746
Editeur : LAP LAMBERT Academic Publishing, 2015

Synopsis

The current relevant methods and approaches to soil erosion mapping has been discussed in this book. More specifically, the application of satellite data in soil erosion studies and erosion controlling factors is reviewed. The study of landforms plays an important supportive role in ranking erosion potentiality and in developing land use and land cover maps. A new protocol for Landform classification has been presented. Furthermore, a new, unique combination of proven classification steps has been applied for accurately classifying land use and land cover types. The developed protocol in this study enhances initial reflectance based classification with the use of image segmentation and supplemental segregation via the use of some ancillary information which included a landform map of the area and climatic zones. Finally, a new GIS based algorithm has been presented for the creation of accurate soil erosion type and intensity maps based upon satellite image analysis and some ancillary information, which includes land slope, landform, land use, and land cover layers.

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

Présentation de l'éditeur

The current relevant methods and approaches to soil erosion mapping has been discussed in this book. More specifically, the application of satellite data in soil erosion studies and erosion controlling factors is reviewed. The study of landforms plays an important supportive role in ranking erosion potentiality and in developing land use and land cover maps. A new protocol for Landform classification has been presented. Furthermore, a new, unique combination of proven classification steps has been applied for accurately classifying land use and land cover types. The developed protocol in this study enhances initial reflectance based classification with the use of image segmentation and supplemental segregation via the use of some ancillary information which included a landform map of the area and climatic zones. Finally, a new GIS based algorithm has been presented for the creation of accurate soil erosion type and intensity maps based upon satellite image analysis and some ancillary information, which includes land slope, landform, land use, and land cover layers.

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 
3659712744
ISBN 13 
9783659712746
Reliure
Broché
Nombre de pages
160
Coordonnées du fabricant
non disponible
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