Isbn: 9786209190322 - remotely sensed data and vegetation coverage change detection: second edition (3 risultati)

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 104 pp. Englisch.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 63,05
EUR 35,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibile
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Since the normalized difference vegetation index (NDVI) as a graphical indicator that it was used to analyze remote sensing measurements, and it assessed whether the target being observed contains live green vegetation or not; we enabled to employ the long-term MODIS NDVI image datasets, acquired from 2000 to 2010 to monitor vegetation coverage change in a particular area in Southeast Asia. Even though, improvements in data sharing through the night-time lights datasets, and other elements likewise DEM, climatic and physiography factors helped us to be scientifically ruched mentioned plan, Although our view of them is more closer to driving factors of vegetation cover dynamic.…

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibile
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Since the normalized difference vegetation index (NDVI) as a graphical indicator that it was used to analyze remote sensing measurements, and it assessed whether the target being observed contains live green vegetation or not; we enabled to employ the long-term MODIS NDVI image datasets, acquired from 2000 to 2010 to monitor vegetation coverage change in a particular area in Southeast Asia. Even though, improvements in data sharing through the night-time lights datasets, and other elements likewise DEM, climatic and physiography factors helped us to be scientifically ruched mentioned plan, Although our view of them is more closer to driving factors of vegetation cover dynamic.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.…