Remotely Sensed Data and Vegetation Coverage Change Detection: Second Edition - Softcover

Shobairi, Seyed Omid Reza

 
9786209190322: Remotely Sensed Data and Vegetation Coverage Change Detection: Second Edition
Softcover
ISBN 10: 6209190324 ISBN 13: 9786209190322
Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Seyed Omid Reza Shobairi, born on July 19th, 1986, bachelor and Master of Science in Natural Resource and Forestry, Doctor of Forest Resources Modelling in GIS and Remote Sensing from NJFU; elected as the elite researcher due to high published manuscripts indexed in Scopus. He is the Assistant Professor in Forest Ecology at USFEU, Yekaterinburg.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6209190324
ISBN 13 
9786209190322
Einband
Taschenbuch
Anzahl der Seiten
104
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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