Open Access

Metsa lehepinnaindeksi kaardistamine lennukilidari, satelliidipiltide ja maapealsete mõõtmiste abil Järvselja VALERI testalal / Leaf area index mapping with airborne lidar, satellite images and ground measurements in Järvselja VALERI test site


Cite

Adermann, V. 2010. Estonia. - Tomppo, E., Gschwantner, T., Lawrence, M., McRoberts, R.(eds.). National Forest Inventories. Springer, 171-184.Search in Google Scholar

Ahern, F.J., Erdle, T., Maclean, D.A., Kneppeck, I.D. 1991. A quantitative relationship between forest growth rates and Landsat Thematic Mapper reflectance measurements. - International Journal of Remote Sensing, 12(3), 387-400.Search in Google Scholar

Anderson, M.C. 1964. Studies of the woodland light climate. I. The photographic computation of light condition. - Journal of Ecology, 52, 27-41.Search in Google Scholar

Baltsavias, E.P. 1999. Airborne laser scanning: basic relations and formulas. - ISPRS Journal of Photogrammetry & Remote Sensing, 54, 199-214.Search in Google Scholar

Brown, L., Chen, J.C., Leblanc, S.G., Cihlar, J. 2000. A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests. - Remote Sensing of Environment, 71, 6-25.Search in Google Scholar

Chason, J.W., Baldocchi, D.D., Huston, M.A. 1991. Comparison of direct and indirect methods for estimating forest canopy leaf-area. - Agricultural and Forest Meteorology, 57, 107-128.Search in Google Scholar

Chen, J.M., Black, T.A. 1992. Defining leaf-area index for non-flat leaves. - Plant, Cell & Environment, 15, 421-429.Search in Google Scholar

Evans, G.C., Coombe, D.E 1959. Hemispherical and woodland canopy photography and the light climate. - Journal of Ecology, 47, 123-144.10.2307/2257250Search in Google Scholar

Fassnacht, K.S., Gower, S.T., Norman, J.M., McMurtrie, R.E. 1994. A comparison of optical and direct methods for estimating foliage surface area index in forests. - Agricultural and Forest Meteorology, 71, 183-207.Search in Google Scholar

Fernandes, R.A., Miller, J.R., Chen, J.M., Rubinstein, I.G. 2004. Evaluating image-based estimates of leaf area index in boreal conifer stands over a range of scales using high-resolution CASI imagery. - Remote Sensing of Environment, 89, 200-216.10.1016/j.rse.2002.06.005Search in Google Scholar

Frazer, G.W., Trofymow, J.A., Lertzman, K.P. 1997. A method for estimating canopy openness, effective leaf area index, and photosynthetically active photon flux density using hemispherical photography and computerized image analysis techniques. - Information Report BC-X-373. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, BC.Search in Google Scholar

Garrigues, S., Allard, D., Baret, F., Weiss, M. 2006. Quantifying spatial heterogeneity at the landscape scale using variogram models. - Remote Sensing of Environment Volume 103(1), 81-96.Search in Google Scholar

Gemmell, F., Varjo, J., Strandstrom, M., Kuusk, A. 2002. Comparison of measured boreal forest characteristics with estimates from TM data and limited ancillary information using reflectance model inversion. - Remote Sensing of Environment, 81(2-3), 365-377.Search in Google Scholar

GEOLAND. 2011. BioPar Products. [WWW document]. - URL http://www.geoland2.eu/portal/. [Accessed August 1, 2011].Search in Google Scholar

Gower, S.T., Norman, J.M. 1991. Rapid estimation of leaf-area index in conifer and broad-leaf plantations. - Journal of Ecology, 72, 1896-1900.Search in Google Scholar

Herbert, T.J. 1986. Calibration of fisheye lenses by inversion of area projections. - Applied Optics, 25, 1875-1876.Search in Google Scholar

Heritage, G.L., Large, A.R.G. 2009. Principles of 3D Laser Scanning. - Laser Scanning for the Environmental Sciences, 21-34. Eds Heritage, G.L., Large. John Wiley & Sons, Ltd., Publication, West Sussex, UK.10.1002/9781444311952.ch2Search in Google Scholar

Hopkinson, C., Chasmer, L. 2009. Testing LiDAR models of fractional cover across multiple forest ecozones. - Remote Sensing of Environment, 113, 275-288.Search in Google Scholar

Hordo, M., Kiviste, A., Sims, A. 2006. The Network of permanent sample plots for forest growth in Estonia. - Nagel, J. (ed.). Deutscher Verband Forstlicher Forschungsanstalten. Sektion Ertragskunde: Beiträge zur Jahrestagung 2006. Göttingen, 115-121.Search in Google Scholar

Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, P., Weiss, M., Baret, F. 2004. Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography. - Agricultural and Forest Meteorology, 121, 19-35.Search in Google Scholar

Jonckheere, I., Nackaerts, K., Muys, B., Coppin, P. 2005. Assessment of automatic grap fraction estimation of forests from digital hemispherical photography. - Agricultural and Forest Meteorology, 132, 96-114.Search in Google Scholar

Knyazikhin, Y., Martonchik, J.V., Myneni, R.B., Diner, D.J., Running, S.W. 1998. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. - Journal of Geophysical Research, 103, 32257−32274.Search in Google Scholar

Kodar, A., Kutsar, R., Lang, M., Lükk, T., and Nilson, T. 2008. Leaf area indices of forest canopies from optical measurements. - Baltic Forestry, 14(2), 185-194.Search in Google Scholar

Korhonen, L. Korpela, I., Heiskanen, J., Maltamo, M. 2011. Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index. - Remote Sensing of Environment, 115, 1065-1080.Search in Google Scholar

Kucharik, C.J., Norman, J.M, Gower, S.T. 1998. Measurements of branch area and adjusting leaf area index indirect measurements. - Agricultural and Forest Meteorology, 91(1-2), 69-88.Search in Google Scholar

Lang, M. 2006. The performance of foliage mass and crown radius models in forming the input of a forest reflectance model. - PhD thesis. ISBN-10: 9949-426-16-2. Eesti Maaülikool, 201 pp.Search in Google Scholar

Lang, M. 2010. Estimation of crown and canopy cover from airborne lidar data. - Forestry Studies / Metsanduslikud Uurimused, 52, 5-17.Search in Google Scholar

Lang, M. Lükk, T., Rähn, A., Sims, A. 2005. Kasvukäiguproovitükkide kaugseire võimalusi. (Change detection on permanent forest growth sample plots using satellite images). - Metsanduslikud Uurimused / Forestry Studies, 43, 24-37. (In Estonian).Search in Google Scholar

Lang, M., Kurvits, V. 2007. Restoration of tree crown shape for canopy cover estimation. - Forestry Studies / Metsanduslikud Uurimused, 46, 23-34.Search in Google Scholar

Lang, M., Kuusk, A., Mõttus, M., Rautiainen, M., Nilson, T. 2010. Canopy gap fraction estimation from digital hemispherical images using sky radiance models and a linear conversion method. - Agricultural and Forest Meteorology, 150(1), 20-29.Search in Google Scholar

Lang, M., Nilson, T., Kuusk, A., Kiviste, A., Hordo, M. 2007. The performance of foliage mass and crown radius models in forming the input of a forest reflectance model: A test on forest growth sample plots and Landsat 7 ETM+ images. - Remote Sensing of Environment, 110, 445-457.10.1016/j.rse.2006.11.030Search in Google Scholar

Liang, S. 2004. Quantitative remote sensing of land surfaces. 534 pp. John Wiley & Sons, Inc. Hoboken, New Yersey.10.1002/047172372XSearch in Google Scholar

Marklund, L.G. 1988. Biomass functions for pine, spruce and birch in Sweden. - Technical Report, Swedish University of Agricultural Sciences, Department of Forest Survey, Umeå, Sweden, 45, 73 pp.Search in Google Scholar

McGaughey, R.J. 2010. FUSION/LDV: Software for LIDAR Data Analysis and Visualization. July 2010 - FUSION Version 2.90. United States Department of Agriculture Forest Service Pacific Northwest Research Station, 150 pp.Search in Google Scholar

Morsdorf F., Benjamin Kötz, B., Meier, E., Itten, K.I., Allgöwer, B. 2006. Estimation of LAI and fractional cover from small footprint laser scanning data based on gap fraction. - Remote Sensing of Environment, 104, 50-61.Search in Google Scholar

Nilson, T. 1994. Remote sensing of forests. (Metsade kaugseire alused). Eesti Põllumajandusülikooli Metsakorralduse Instituut. 160 pp.Search in Google Scholar

Nilson, T. 1999. Inversion of gap fraction data in forest stands. - Agricultural and Forest Meteorology, 98-99, 437-448.Search in Google Scholar

Nilson, T., Kuusk, A. 2004. Improved algorithm for estimating canopy indices from gap fraction data in forest canopies. - Agricultural and Forest Meteorology, 124(3-4), 157-169.Search in Google Scholar

Noe, S.M., Kimmel, V., Hüve, K., Copolovici, L., Portillo- Estrada, M., Püttsepp, Ü., Jõgiste, K., Niinemets, Ü., Hörtnagl, L., Wohlfahrt, G. 2011. Ecosystem- scale biosphere-atmosphere interactions of a hemiboreal mixed forest stand at Järvselja, Estonia. - Forest Ecology and Management, 262(2), 71-81.Search in Google Scholar

Poilvé, H., 2011. Towards an operational GMES land monitoring core service. BioPar product user manual. MERIS FR Biophysical Products. Issue 1.40. EC Proposal Reference No. FP-7-218795. Astrium GeoInformation Services. 46 pp.Search in Google Scholar

Rautiainen, M., Stenberg, P., Nilson, T. 2005. Estimating canopy cover in Scots pine stands. - Silva Fennica, 39(1), 137-142.Search in Google Scholar

Sea, W.B., Choler, P., Beringer, J., Weinmann, R.A, Hutley, L.B, Leuning, R. 2011. Documenting improvement in leaf area index estimates from MODIS using hemispherical photos for Australian savannas. - Agricultural and Forest Meteorology, 151, 1453-1461.Search in Google Scholar

Stenberg, P., Rautiainen, M., Manninen, T., Voipio, P., Smolander, H. 2004. Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands. - Silva Fennica 38(1): 3-14.10.14214/sf.431Search in Google Scholar

Tamm, T., Remm, K. 2009. Estimating the parameters of forest inventory using machine learning and the reduction of remote sensing features. - International Journal of Applied Earth Observation and Geoinformation, 11, 290-297.Search in Google Scholar

Tan, B., Woodcock, C.E., Hu, J., Zhang, P., Ozdogan, M., Huang, D., Yang, W., Knyazikhin,Y., Myneni, R.B. 2006. The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-toband registration across resolutions. - Remote Sensing of Environment, 105, 98-114.Search in Google Scholar

Uri, V., Lõhmus, K., Kiviste, A., Aosaar, J. 2009. The dynamics of biomass production in relation to foliar and root traits in a grey alder (Alnus incana (L.) Moench) plantation on abandoned agricultural land. - Forestry, 82, 61-74.10.1093/forestry/cpn040Search in Google Scholar

Ustin, S.L. 2004. Remote Sensing for natural resource management and environmental monitoring. Manual of remote sensing. John Wiley & Sons, Inc.Search in Google Scholar

Vain A., Kaasalainen, S., Pyysalo, U., Krooks, A., Litkey, P. 2009. Use of naturally available reference targets to calibrate airborne laser scanning intensity data. - Sensors, 9, 2780-2796; doi:10.3390/ s90402780.Search in Google Scholar

Wang, Y., Woodcock, C.E., Buermann, W., Stenberg, P., Voipio, P., Smolander, H., et al. 2004. Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland. - Remote Sensing of Environment, 91, 114−127.Search in Google Scholar

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, 41-76.10.1093/oxfordjournals.aob.a083148Search in Google Scholar

Zianis, D., Muukkonen, P., Mäkipää, R., Mencuccini, M. 2005. Biomass and stem volume equations for tree species in Europe. - Silva Fennica Monographs, 4, 1-63. Search in Google Scholar

eISSN:
1736-8723
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Life Sciences, Plant Science, Ecology, other