Estimation of the seasonal leaf area index in urban oak forests using Sentinel-2 time series data

References

1. Wolch, J.R., Byrne, J., Newell, J.P.
   [2014] Urban green space, public health and environmental justice: The challenge of making cities just green enough. Landscape and Urban Planning, 125, 234 – 244.
   [Google Scholar]
2. Manning, W.J.
   [2008] Plants in urban ecosystems: Essential role of urban forests in urban metabolism and succession toward sustainability. Int. J. Sustain. Dev. World Ecol., 15, 362–370.
   [Google Scholar]
3. Watson, D.J.
   [1947] Comparative physiological studies in the growth of field crops. I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years. Annals of Botany,11, 41–76.
   [Google Scholar]
4. Danson, F.M., Plummer, S.E.
   [1995] Red-edge response to forest leaf area index. International Journal of Remote Sensing, 16(1), 183–188.
   [Google Scholar]
5. Chen, X., Vierling, L., Deering, D., Conley, A.
   [2005] Monitoring boreal forest leaf area index across a Siberian burn chronosequence: A MODIS validation study. International Journal of Remote Sensing, 26(24), 5433–5451.
   [Google Scholar]
6. Weiss, M., Baret, F., Smith, G., Jonckheere, J., CoppinI.
   [2004] Review of methods for in situ leaf area index (LAI) determination. Agricultural and Forest Meteorology, 121, 37–53.
   [Google Scholar]
7. Chason, J.W., Baldocchi, D.D., Huston, M.A.
   [1991] A comparison of direct and indirect methods for estimating forest canopy leaf area. Agricultural and Forest Meteorology, 57, 107–128.
   [Google Scholar]
8. Tillack, A., Clasen, A., Kleinschmit, B. Förster, M.
   [2014] Estimation of the seasonal leaf area index in an alluvial forest using high-resolution satellite-based vegetation indices. Remote Sensing of Environment. 141, 52–63.
   [Google Scholar]
9. Kobayashi, H., Suzuki, R., Kobayashi, S.
   [2007] Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses. Remote Sensing of Environment, 106, 238–252.
   [Google Scholar]
10. Wang, Q., Tenhunen, J., Dinh, N. Q.
    [2005] Evaluation of seasonal variation of MODIS derived leaf area index at two European deciduous broadleaf forest sites. Remote Sensing of Environment, 96, 475–484.
    [Google Scholar]
11. Kozlova, A.A., Khyzhniak, A.V., Piestova, I.A., Andreiev, A.A.
    [2018] Synergetic use of Sentinel-1 and Sentinel-2 data for analysis of urban development and green spaces. Abstracts of the XVIIth International Conference “Geoinformatics: Theoretical and Applied Aspects”, 14–17 May 2018, Kiev, Ukraine.
    [Google Scholar]
12. Klingberg, J., Konarska, J., Lindberg, F., and Thorsson, S.
    [2015] Measured and modelled leaf area of urban woodlands, parks and trees in Gothenburg, Sweden. ICUC9 - 9th International Conference on Urban Climate jointly with 12th Symposium on the Urban Environment,
    [Google Scholar]
13. Woodgate, W., Jones, S., Suarez, L, Hill, M., Armston, J., Wilkes, P., Soto-Berelov, M., Haywood, A., Mellor, A.
    [2015] Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems. Agricultural and Forest Meteorology, 205, 83–95.
    [Google Scholar]
14. Wang, Q., Adiku, S., Tenhunen, J., Granier, A.
    [2005] On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sensing of Environment, 94(2), 244–255
    [Google Scholar]