Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014)

Remote sensing has proven a useful way of evaluating long-term trends in vegetation “greenness” through the use of vegetation indices like Normalized Differences Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI). In particular, analyses of greenness trends have been performed for large are...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Remote sensing of environment 2016-11, Vol.185, p.243-257
Hauptverfasser:	Zhu, Zhe, Fu, Yingchun, Woodcock, Curtis E., Olofsson, Pontus, Vogelmann, James E., Holden, Christopher, Wang, Min, Dai, Shu, Yu, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Abrupt change Air pollution CCDC Gradual change Greenness Guangzhou Land cover Land cover change Landsat Landsat 5 Remote sensing Satellite imagery Sensors Time series Trend Trends Vegetation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!