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Remotely Sensed Data and Vegetation Coverage Change Detection

By Shobairi, Seyed Omid Reza

Remotely Sensed Data and Vegetation Coverage Change Detection

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
104
Release Date:
2025-11-03
Publication Date:
2025-11-03
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6209190324
ISBN13:
9786209190322
Weight:
173 g
Height:
150 cm
Width:
220 cm
Thickness:
7 cm
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