9786134969352 - Super Resolution Mapping of Trees from Satellite Images de Nixon, Nduji; Tolpekin, Valentyn; Stein, Alfred (7 resultados)

Paperback. Condición: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

Taschenbuch. Condición: Neu. Super Resolution Mapping of Trees from Satellite Images | Nduji Nixon (u. a.) | Taschenbuch | 68 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786134969352 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 68 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nixon NdujiNixon 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.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.