Spatiotemporal analyses of urban vegetation structural attributes using multitemporal Landsat TM data and field measurements

Key message We conducted spatiotemporal analyses of urban vegetation structural attributes using multitemporal Landsat TM data and field measurements. We showed that multitemporal TM data has the potential of rapidly estimating urban vegetation structural attributes including LAI , CC , and BA at an...

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Veröffentlicht in:	Annals of forest science. 2017-09, Vol.74 (3), p.1-14, Article 54
Hauptverfasser:	Ren, Zhibin, Pu, Ruiliang, Zheng, Haifeng, Zhang, Dan, He, Xingyuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Biomedical and Life Sciences Ecological function Ecosystem services Ecosystems Environment Estimation Forestry Forestry Management Gas exchange Image acquisition Landsat Landsat satellites Leaf area Leaf area index Life Sciences Natural vegetation Original Paper Prediction models Remote sensing Satellite imagery Suburban areas Tree Biology Urban areas Urban environments Vegetation Wood Science & Technology
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