Spatiotemporal pattern of urban forest leaf area index in response to rapid urbanization and urban greening

@article{Ren2017SpatiotemporalPO,
  title={Spatiotemporal pattern of urban forest leaf area index in response to rapid urbanization and urban greening},
  author={Zhibin Ren and Yunxia Du and Xingyuan He and Ruiliang Pu and Haifeng Zheng and Haide Hu},
  journal={Journal of Forestry Research},
  year={2017},
  volume={29},
  pages={785-796}
}
Rapid urbanization and urban greening have caused great changes to urban forests in China. Understanding spatiotemporal patterns of urban forest leaf area index (LAI) under rapid urbanization and urban greening is important for urban forest planning and management. We evaluated the potential for estimating urban forest LAI spatiotemporally by using Landsat TM imagery. We collected three scenes of Landsat TM (thematic mapper) images acquired in 1997, 2004 and 2010 and conducted a field survey to… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-8 OF 8 CITATIONS

Experimental and Numerical Investigation of Dustfall Effect on Remote Sensing Retrieval Accuracy of Chlorophyll Content †

VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 51 REFERENCES

Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges

VIEW 1 EXCERPT
HIGHLY INFLUENTIAL

On the relationship between vegetation and climate in tropical and northern Africa

  • S Martin, K Doris, C Christopher, D Stefan, P Heiko
  • Theor Appl Climatol
  • 2014
VIEW 1 EXCERPT

Estimating aboveground biomass in interior Alaska with Landsat data and field measurements

VIEW 3 EXCERPTS