Verwandte Artikel zu Historical Land Use/Land Cover Classification Using...
Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria (SpringerBriefs in Geography) - Softcover
Inhaltsangabe
Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects.
The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Von der hinteren Coverseite
Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects.
The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 52,05
EUR 3,41 für den Versand innerhalb von/der USA
Versandziele, Kosten & Dauer
Suchergebnisse für Historical Land Use/Land Cover Classification Using...
Beispielbild für diese ISBN
Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria (SpringerBriefs in Geography)
Anbieter: Lucky's Textbooks, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020085807
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Historical Land Use/Land Cover Classification Using Remote Sensing : A Case Study of the Euphrates River Basin in Syria
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Bestandsnummer des Verkäufers 20034198-n
Anzahl: 15 verfügbar
Beispielbild für diese ISBN
Historical Land Use/Land Cover Classification Using Remote Sensing (Paperback)
Verlag:
Springer International Publishing AG, Cham, 2013
ISBN 10: 3319006231
ISBN 13: 9783319006239
Neu
Paperback
Anbieter: Grand Eagle Retail, Mason, OH, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects.The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783319006239
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria (SpringerBriefs in Geography)
Anbieter: Best Price, Torrance, CA, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. SUPER FAST SHIPPING. Bestandsnummer des Verkäufers 9783319006239
Anzahl: 4 verfügbar
Foto des Verkäufers
Historical Land Use/Land Cover Classification Using Remote Sensing : A Case Study of the Euphrates River Basin in Syria
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 20034198
Anzahl: 15 verfügbar
Beispielbild für diese ISBN
Historical Land Use/Land Cover Classification Using Remote Sensing
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. xviii + 204. Bestandsnummer des Verkäufers 2651452157
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Historical Land Use/Land Cover Classification Using Remote Sensing: A Case Study of the Euphrates River Basin in Syria (SpringerBriefs in Geography)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9783319006239_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Historical Land Use/Land Cover Classification Using Remote Sensing : A Case Study of the Euphrates River Basin in Syria
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9783319006239
Anzahl: 10 verfügbar
Beispielbild für diese ISBN
Historical Land Use/Land Cover Classification Using Remote Sensing
Print-on-DemandAnbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand pp. xviii + 204 96 Illus. (86 Col.). Bestandsnummer des Verkäufers 57059106
Anzahl: 4 verfügbar
Foto des Verkäufers
Historical Land Use/Land Cover Classification Using Remote Sensing
Verlag:
Springer International Publishing Jul 2013, 2013
ISBN 10: 3319006231
ISBN 13: 9783319006239
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects.The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin. 224 pp. Englisch. Bestandsnummer des Verkäufers 9783319006239
Anzahl: 2 verfügbar