Super Resolution Mapping of Trees from Satellite Images - Couverture souple

Nixon, Nduji; Tolpekin, Valentyn; Stein, Alfred

 
9786134969352: Super Resolution Mapping of Trees from Satellite Images
Couverture souple
ISBN 10 : 6134969354 ISBN 13 : 9786134969352
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

The objective of this book is to address the reliability of individual tree crown objects detected from coarse resolution satellite images. It also provides useful information that will support the capacity of monitoring agricultural change in data sparse regions or developing countries of the world. Mapping of trees from satellite imageries in Africa and most developing countries of the world is quite challenging. The challenges can be attributed to the indiscriminate planting of trees dispersed within heterogeneous and indistinct fields, widespread shortage of up to date agricultural data which is partly due to lack of funds, poor government policies and restrictions to finer resolution imageries due to security concerns. Despite these limitations, satellite imageries still remain a viable option to mapping agricultural information in data sparse regions of the world. With the launching of Sentinel satellite missions by the European space agency (ESA), medium and coarse resolution satellite imageries has become freely available at much better scale. Therefore, most developing countries will like to leverage on this opportunity for up to date monitoring of the environment.

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

Présentation de l'éditeur

The objective of this book is to address the reliability of individual tree crown objects detected from coarse resolution satellite images. It also provides useful information that will support the capacity of monitoring agricultural change in data sparse regions or developing countries of the world. Mapping of trees from satellite imageries in Africa and most developing countries of the world is quite challenging. The challenges can be attributed to the indiscriminate planting of trees dispersed within heterogeneous and indistinct fields, widespread shortage of up to date agricultural data which is partly due to lack of funds, poor government policies and restrictions to finer resolution imageries due to security concerns. Despite these limitations, satellite imageries still remain a viable option to mapping agricultural information in data sparse regions of the world. With the launching of Sentinel satellite missions by the European space agency (ESA), medium and coarse resolution satellite imageries has become freely available at much better scale. Therefore, most developing countries will like to leverage on this opportunity for up to date monitoring of the environment.

Biographie de l'auteur

Nixon Nduji is a Geoinformation Professional born on the 28th of May 1988 in Enugu State, Nigeria.He obtained a Bachelor's degree in Surveying and Geoinformatics in 2011 and subsequently a Master's degree in Geoinformation Science and Earth Observation for Geoinformatics in 2017. His interest is to proffer Geospatial Solutions to our dynamic world

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
2018
Langue
anglais
ISBN 10 
6134969354
ISBN 13 
9786134969352
Reliure
Broché
Nombre de pages
68
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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