Abstract
Recent advances in airborne and spaceborne scanner technologies have been providing vast amounts of multispectral and multi-angular remote sensing data of different spatial and radiometric resolution over the Earth’s vegetation. Remote sensing of forests has been one of the major interest in the remote sensing of environment, because forests impact climate, provide different kind of resources for the economy, are related to biodiversity and, on the other hand, are threatened by several anthropogenic factors and disturbances.
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Abdou, W. A., C. J. Bruegge, M. C. Helmlinger, J. E. Conel, S. H. Pilorz, W. Ledeboer, B. J. Gaitley, and K. J. Thome (2002). Vicarious calibration experiment in support of the Multi-angle Imaging SpectroRadiometer. IEEE Transactions on Geoscience and Remote Sensing, 40(7):1500–1511.
Banham, M. R., and A. K. Katsaggelos (1997). Digital image restoration. IEEE Signal Processing Magazine, 14(2):24–41.
Barnsley, M. J., J. J. Settle, M. A. Cutter, D. R. Lobb, and F. Teston (2004). The PROBA/CHRIS mission: A low-cost smallsat for hyperspectral multiangle observa- tions of the earth surface and atmosphere. IEEE Transactions on Geoscience and Remote Sensing, 42(7):1512–1520.
Cannizzaro, J. P., and K. L. Carder (2006). Estimating chlorophyll a concentrations from remote-sensing reflectance in optically shallow waters. Remote Sensing of Environ- ment, 101 (1):13–24.
CHRIS (2002). The CHRIS Instrument. Web-page http://www.chris-proba.org.uk/frames/index2.html.
Cutter, M. (2004). Review of aspects associated with the CHRIS calibration. In Proc. of the 2nd ESA CHRIS/Proba Workshop, 28–30 April, ESRIN, Frascati, Italy, number SP-578, pages 1–5. ESA. CD-ROM.
Deschamps, P. Y., F. M. Breon, M. Leroy, A. Podaire, A. Bricaud, J. C. Buriez, and G. Seze (1994). The POLDER mission - instrument characteristics and scientific ob- jectives. IEEE Transactions on Geoscience and Remote Sensing, 32(3):598–615.
Elterman, L. (1968). UV, Visible, and IR Attenuation for Altitudes to 50 km. Rep. AFCRL-68–0153. U.S. Air Force Cambridge Research Laboratory, Bedford, Mass.
ESRI (2007). ESRI world basemap data. Web-page http://www.esri.com/data/download/basemap/index.html.
Feng, H., J. W. Campbell, M. D. Dowell, and T. S. Moore (2005). Modeling spectral reflectance of optically complex waters using bio-optical measurements from Tokyo Bay. Remote Sensing of Environment, 99(3):232–243.
Froidefond, J. M., L. Gardel, D. Guiral, M. Parra, and J. F. Ternon (2002). Spectral remote sensing reflectances of coastal waters in French Guiana under the Amazon influence. Remote Sensing of Environment, 80(2):225–232.
Hadjimitsis, D. G., C. R. I. Clayton, and V. S. Hope (2004). An assessment of the ef- fectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs. International Journal of Remote Sensing, 25(18):3651–3674.
Hoffmann, C. W., and V. A. Usoltsev (2002). Tree-crown biomass estimation in forest species of the Ural and of Kazakhstan. Forest Ecology and Management, 158(1–3):59- 69.
Holben, B. N., T. F. Eck, I. Slutsker, D. Tanre, J. P. Buis, A. Setzer, E. Vermote, J. A. Reagan, Y. J. Kaufman, T. Nakajima, F. Lavenu, I. Jankowiak, and A. Smirnov (1998). AERONET - A federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 66(1):1–16.
HYSPLIT (2007). HYSPLIT: HYbrid Single-Particle Lagrangian Integrated Trajectory Model Version 4.8. Web-page http://www.arl.noaa.gov/ready/hysp_info.html.
Järvselja (2007). Järvselja experimental and training forest district. Web page http://www.jarvselja.ee/.
Jennings, S. B., N. D. Brown, and D. Sheil (1999). Assessing forest canopies and un- derstorey illumination: canopy closure, canopy cover and other measures. Forestry, 72(1):59–74.
Johansson, T. (1999). Dry matter amount and increment in 21- to 91-year-old common alder and gray alder and some practical implications. Canadian Journal of Forest Research, 29(11):1679–1690.
Korhonen, L., T. K. Korhonen, M. Rautiainen, and P. Stenberg (2006). Estimation of forest canopy cover: a comparison of field measurement techniques. Silva Fennica, 40(4):577–588.
Kostkowski, H. J. (1997). Reliable Spectroradiometry. Spectroradiometry Consulting, La Plata, MD.
Kuusk, A. (1994). A multispectral canopy reflectance model. Remote Sensing of Environment, 50:75–82.
Kuusk, A. (1998). Monitoring of vegetation parameters on large areas by the inversion of a canopy reflectance model. International Journal of Remote Sensing, 19(15):2893- 2905.
Kuusk, A., and T. Nilson (2000). A directional multispectral forest reflectance model. Remote Sensing of Environment, 72(2):244–252.
Kuusk, J. (2011). Measurement of forest reflectance. Top-of-canopy spectral reflectance of forests for developing vegetation radiative transfer models. Lambert Academic Pub- lishing, Saarbrücken, Germany. 120 pp.
Kuusk, J., A. Kuusk, M. Lang, and A. Kallis (2010). Hyperspectral reflectance of bore- onemoral forests in a dry and normal summer. International Journal of Remote Sens- ing, 31 (1):159–175.
Lang, M., A. Kuusk, T. Nilson, T. Lukk, M. Pehk, and G. Alm (2002). Reflectance spectra of ground vegetation in sub-boreal forests. Web page http://www.aai.ee/bgf/ger2600/
Lang, M., M. Jürjo, V. Adermann, and H. Korjus (2006). Integrated approach for quan- titative assessment of illegal forest fellings in Estonia. Baltic Forestry, 12(1):103–109.
Liang, S. (2004). Quantitative Remote Sensing of Land Surfaces. Wiley-Interscience.
Liang, S. L., H. L. Fang, and M. Z. Chen (2001). Atmospheric correction of Landsat ETM+ land surface imagery - Part I: Methods. IEEE Transactions on Geoscience and Remote Sensing, 39(11):2490–2498.
Marklund, L. G. (1988). Biomass Functions for Pine, Spruce and Birch in Sweden. Swedish University of Agricultural Sciences, Umeå.
Martin, J. G., B. D. Kloeppel, T. L. Schaefer, D. L. Kimbler, and S. G. McNulty (1998). Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species. Canadian Journal of Forest Research, 28:1648–1659.
McGaughey, R. J. (1997). Visualizing forest stand dynamics by using the stand visu- alization system. In Proceedings ACSM/ASPRS Annual Convention and Exposition Seattle, WA. Betsheda, Vol. 4, pages 248–257. MD: American Society for Photogram- metry and Remote Sensing.
McPeters, R. (2007). Total Ozone Mapping Spectrometer. Web-page http://jwocky.gsfc.nasa.gov/.
MODIS (2005). MODIS Atmosphere Terra Images. Web-page http://modis-atmos.gsfc.nasa.gov/IMAGES/.
Newcomer, J., D. Landis, S. Conrad, S. Curd, K. Huemmrich, D. Knapp, A. Morrell, J. Nickeson, A. Papagno, D. Rinker, R. Strub, T. Twine, F. Hall, and P. Sellers, editors (2000). Collected Data of The Boreal Ecosystem-Atmosphere Study. NASA. CD-ROM.
Niinemets, U., and K. Kull (1994). Leaf weight per area and leaf size of 85 Estonian woody species in relation to shade tolerance and light availability. Forest Ecology a,nd, Management, 70:1–10.
Nilson, T., and A. Kuusk (2004). Improved algorithm for estimating canopy indices from gap fraction data in forest canopies. Agricultural and Forest Meteorology, 124(3- 4):157–169.
Novo, E. M. L. M., W. Pereira, and J. M. Melack (2004). Assessing the utility of spectral band operators to reduce the influence of total suspended solids on the relationship between chlorophyll concentration and the bidirectional reflectance factor in Amazon waters. International Journal of Remote Sensing, 25(22):5105–5116.
Pensa, M., and A. Sellin (2002). Needle longevity of Scots pine in relation to foliar nitrogen content, specific leaf area, and shoot growth in different forest types. Canadian Journal of Forest Research, 32(7):1225–1231.
Podilchuk, C. (1998). Signal recovery from partial information. In V. K. Madisetti and D. B. Williams, editors, Signal Processing Handbook, pages 25–1 to 25–21. CRC Press LLC, Boca Raton, Florida 33431, USA.
R-project (2007). The R Project for Statistical Computing. Web-page http://www.r-project.org/.
Rabiner, L. R., and B. Gold (1975). Theory and Application of Digital Signal Processing. Prentice-Hall, Englewood Cliffs.
Rautiainen, M., P. Stenberg, T. Nilson, and A. Kuusk (2004). The effect of crown shape on the reflectance of coniferous stands. Remote Sensing of Environment, 89(1):41–52.
Reinersman, P. N., and K. L. Carder (1995). Monte Carlo simulation of the atmospheric point-spread function with an application to correction for the adjacency effect. Applied Optics, 34(21):4453–4471.
Schaepman, M., and S. Dangel (2000). Solid laboratory calibration of a nonimaging spectroradiometer. Applied Optics, 39:3754–3764.
Sellin, A. (2000). Estimating the needle area from geometric measurements: Application of different calculation methods to Norway spruce. Trees, 14(4):215–222, 819.
Slater, P. N., and S. F. Biggar (1996). Suggestions for radiometric calibration coefficient generation. Journal of Atmospheric and Oceanic Technology, 13(2):376–382.
Slater, P. N., S. F. Biggar, K. J. Thome, D. I. Gellman, and P. R. Spyak (1996). Vi- carious radiometric calibrations of EOS sensors. Journal of Atmospheric and Oceanic Technology, 13(2):349–359.
Song, C. H., and C. E. Woodcock (2003). Monitoring forest succession with multitemporal Landsat images: Factors of uncertainty. IEEE Transactions on Geoscience and Remote Sensing, 41(11):2557–2567.
Tamm, U. (2000). Aspen in Estonia. Eesti Loodusfoto, Tartu.
Thome, K., B. Markham, J. Barker, P. Slater, and S. Biggar (1997). Radiometric calibration of Landsat. Photogrammetric Engineering and Remote Sensing, 63(7):853–858.
VALERI (2005). Web page http://www.avignon.inra.fr/valeri/, accessed on March 15, 2005.
Vermote, E. F., D. Tanre, J. L. Deuze, M. Herman, and J.-J. Morcrette (1997). Sec- ond simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Transactions on Geoscience and Remote Sensing, 35(3):675–686.
Wang, C. (2006). Biomass allometric equations for 10 co-occurring tree species in Chinese temperate forests. Forest Ecology and Management, 222:9-V16.
Wendlandt, W. W., and H. G. Hecht (1966). Reflectance Spectroscopy. Wiley.
Widlowski, J. L., M. M. Verstraete, B. Pinty, and N. Gobron (2003). Allometric Relation- ships of Selected European Tree Species. Tech. rep., EC Joint Research Centre, Ispra, Italy.
Widlowski, J. L., M. Taberner, B. Pinty, V. Bruniquel-Pinel, M. Disney, R. Fernandes, J. P. Gastellu-Etchegorry, N. Gobron, A. Kuusk, T. Lavergne, S. Leblanc, P. E. Lewis, E. Martin, M. Mottus, P. R. J. North, W. Qin, M. Robustelli, N. Rochdi, R. Ruiloba, C. Soler, R. Thompson, W. Verhoef, M. M. Verstraete, and D Xie (2007). Third radiation transfer model intercomparison (RAMI) exercise: Docu- menting progress in canopy reflectance models. Journal of Geophysical Research- Atmospheres, 112(D9):D09111.
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Kuusk, A., Lang, M., Kuusk, J. (2013). Database of optical and structural data for the validation of forest radiative transfer models. In: Light Scattering Reviews 7. Springer Praxis Books. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21907-8_4
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