Spectral reflectance patterns and seasonal dynamics of common understory types in three mature hemi-boreal forests

International Journal of Applied Earth Observation and Geoinformation

Volumn 43, Issue , 2015, Pages 84-91

  Nikopensius, Maris ^a   Pisek, Jan ^a   Raabe, Kairi ^a  

^a TARTU OBSERVATORY   (Estonia)

Author keywords

Hemi boreal; Reflectance; Spectroscopy; Understory

Indexed keywords

ALGORITHM; BOREAL FOREST; DATA SET; REMOTE SENSING; SEASONAL VARIATION; SPECTRAL REFLECTANCE; UNDERSTORY;

EID: 84943612399     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.11.012     Document Type: Article

References (36)

1. Barton, C.V.M., North, P.R.J., 2001. Remote sensing of canopy light use efficiency using the photochemical reflectance index: model and sensitivity analysis. Remote Sens. Environ. 78, 264-273.
2. Cajander, A.K., 1930. Wesen und Bedeutung der Waldtypen. Silva Fenn. 15 (66) (in Germany).
3. Eriksson, M.H., Eklundh, L., Kuusk, A., Nilson, T., 2006. Impact of understory vegetation on forest canopy reflectance and remotely sensed LAI estimates. Remote Sens. Environ. 103, 408-418.
4. Estonian Environment Agency, webpage (Former EMHI) http://www.emhi.ee/index.php?ide=6&vts=1367391600&go=3 (Used 11.05.14.).
5. Gamon, A.J., Peñuelas, J., Field, B.C., 1992. A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency. Remote Sens. Environ. 41, 35-44.
6. Garbulsky, F.M., Peñuelas, J., Gamon, J., Inoue, Y., Filella, I., 2011. The photochemical reflectance index (PRI) and the remote sensing of leaf: canopy and ecosystem radiation use efficiencies. A review and meta-analysis. Remote Sens. Environ. 115, 281-297.
7. Garrigues, S., Lacaze, R., Baret, F., Morisette, T.J., Weiss, M., Nickeson, E.J., Fernandes, R., Plummer, S., Shabanov, V.N., Myneni, B.R., Knyazikhin, Y., Yang, W., 2008. Validation and intercomparison of global leaf area index products derived from remote sensing data. J. Geophys. Res. 113, 1-20.
8. Goward, N.S., Huemmrich, F., Waring, H.R., 1994. Visible-near infrared spectral reflectance of landscape components in western Oregon. Remote Sens. Environ. 47, 190-203.
9. Hallik, L., Kull, O., Nilson, T., Peñuelas, J., 2009. Spectral reflectance of multispecies herbaceous and moss canopies in the boreal forest understory and open field. Can. J. Remote Sens. 35, 474-485.
10. Hanan, P.N., 2001. Enhanced two-layer radiative transfer scheme for a land surface model with a discontinuous upper canopy. Agric. For. Meteorol. 109, 265-281.
11. Hesketh, M., Sánchez-Azofeifa, A.G., 2012. The effect of seasonal variation on species classification in the Panamanian tropical forest. Remote Sens. Environ. 118, 73-82.
12. Jiao, T., Liu, R., Liu, Y., Pisek, J., Chen, J.M., 2014. Mapping global seasonal forest background reflectivity with multi-angle imaging spectroradiometer data. J. Geophys. Res. Biogeosci., 119, http://dx.doi.org/10.1002/2013JG002493.
13. Kuusk, A., 2001. A two-layer canopy reflectance model. J. Quant. Spectrosc. Radiat. Transfer 71, 1-9.
14. Kuusk, A., Kuusk, J., Lang, M., 2009a. A dataset for the validation of reflectance models. Remote Sens. Environ. 113, 889-892.
15. Kuusk, A., Lang, M., Kuusk, J., Lükk, T., Nilson, T., Mõttus, M., Rautiainen, M., Eenmäe, E., 2009. Database of optical and structural data for the validation of radiative transfer models. Available on-line at: http://www.aai.ee/bgf/jarvseljadb/jarvseljadb.pdf
16. Kuusk, A., Nilson, T., Kuusk, J., Lang, M., 2010. Reflectance spectra of RAMI forest stands in Estonia: Simulations and measurements. Remote Sens. Environ. 114, 2962-2969.
17. Lang, M., Kuusk, A., Nilson, T., Lükk, T., Pehk, M., Alm, G., 2014. Reflectance spectra of ground vegetation in sub-boreal forests. Available on-line at: http://www.aai.ee/bgf/ger2600/(accessed 02.05.02.).
18. Merzlyak, N.M., Gitelsonb, A.A., Chivkunovaa, B.O., Rakitinc, Y.V., 1999. Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening. Physiol. Plant. 106, 135-141.
19. Miller, R.J., White, P.H., Chen, J.M., Peddle, R.D., McDermid, G., Fournier, A.R., Sheperd, P., Rubinstein, I., Freemantle, J., Soffer, R., LeDrew, E., 1997. Seasonal change in understory reflectance of boreal forests and influence on canopy vegetation indices. J. Geophys. Res. 102, 29475-29482.
20. Nilson, T., Peterson, U., 1994. Age dependence of forest reflectance: analysis of main driving factors. Remote Sens. Environ. 48, 319-331.
21. Nilson, T., Rautiainen, M., Pisek, J., Peterson, U., 2012. Seasonal Reflectance Courses of Forests. In: New Advances and Contributions to Forestry Research, 33-58, Available from: http://www.intechopen.com/books/new-advances-andcontributions-to-forestry-research/seasonal-reflectance-course-of-forests
22. Panigada, C., Rossini, M., Merioni, M., Busetto, L., Amaducci, S., Boschetti, M., Cogliati, S., Picchi, V., Pinto, V., Marchesi, A., Columbo, R., 2014. Florescence, PRI and canopy temperature for water stress detection in cereal crops. Int. J. Appl. Earth Obs. Geoinf. 30, 167-178.
23. Peltoniemi, J., Kaasalainen, S., Näränen, J., Rautiainen, M., Stenberg, P., Smolander, H., Smolander, S., Voipio, P., 2005. BRDF measurements of understory vegetation in pine forests: dwarf shrubs, lichens, and moss. Remote Sens. Environ. 94, 343-354.
24. Pisek, J., Chen, M.J., Miller, R.J., Freemantle, R.J., Peltoniemi, I.J., Simic, A., 2010. Mapping forest background reflectance in a boreal region using multiangle compact airborne spectrographic imager data. IEEE Trans. Geosci. Remote Sens. 48, 499-510.
25. Pisek, J., Rautiainen, M., Heiskanen, J., Mõttus, M., 2012. Retrieval of seasonal dynamics of forest understory reflectance in a Northern boreal forest from MODIS BRDF data. Remote Sens. Environ. 117, 464-468.
26. Rautiainen, M., 2005. Retrieval of leaf area index from a coniferous forest by inverting a forest reflectance model. Remote Sens. Environ. 99, 295-303.
27. Rautiainen, M., Stenberg, P., 2005. Application of photon recollision probability in coniferous canopy reflectance simulations. Remote Sens. Environ. 96, 98-107.
28. Rautiainen, M., Suomalainen, J., Mõttus, M., Stenberg, P., Voipio, P., Peltoniemi, J., Manninen, T., 2007. Coupling forest canopy and understory reflectance in the Arctic latitudes of Finland. Remote Sensi. Environ. 110, 332-343.
29. Rautiainen, M., Mõttus, M., Heiskanen, J., Akujärvi, A., Majasalmi, T., Stenberg, P., 2011. Seasonal reflectance dynamics of common understory types in a northern European boreal forest. Remote Sens. Environ. 115, 3020-3028.
30. Rautiainen, M., Heiskanen, J., 2013. Seasonal contribution of understory vegetation to the reflectance of a boreal landscape at different spatial scales. IEEE Geosci. Remote Sens. Lett. 10, 923-927.
31. Rees, G.W., Tutubalina, V.O., Golubeva, I.E., 2004. Reflectance spectra of subarctic lichens between 400-2400 nm. Remote Sens. Environ. 90, 281-292.
32. Rouse, W.J., Haas Jr., H.R., Schell, A.J., Deering, W.D., 1973. Monitoring vegetation systems in the great plains with ERTS. In: Third ERTS Symposium, NASA SP-351 I, pp. 309-317.
33. Suárez, L., Zarco-Tejada, J.P., Sepulecre-Cantó, G., Pérez-Priego, O., Miller, J.R., Jiménez-Muñoz, J.C., Sobrino, J., 2008. Assessing canopy PRI from water stress detection with diurnal airborne imagery. Remote Sens. Environ. 112, 560-577.
34. Suzuki, R., Kobayashi, H., Delbart, N., Asanuma, J., Hiyama, T., 2011. NDVI responses to the forest canopy and floor from spring to summer observed by airborne spectrometer in eastern Siberia. Remote Sens. Environ. 115, 3615-3624.
35. Waring, R.H., Landsberg, J.J., Williams, M., 1998. Net primary production of forests: a constant fraction of gross primary production? Tree Physiol. 18, 129-134.
36. Widlowski, J.L., Taberner, M., Pinty, B., Bruniquel-Pinel, V., Disney, M., Fernandes, R., Gastellu-Etchegorry, J.-P., Gobron, N., Kuusk, A., Lavergne, T., Leblanc, S., Lewis, E.P., Martin, E., Mõttus, M., North, J.R.P., Qin, W., Robustelli, M., Rochdi, N., Ruiloba, R., Soler, C., Thompson, R., Verhof, W., Verstraete, M.M., Xie, D., 2007. Third radiation transfer model intercomparison (RAMI) exercise: documenting progress in canopy reflectance models. J. Geophys. Res. 112, D09111.