Taimkatteseire publikatsioonid

Tartu observatooriumis on taimkatte-, atmosfääri-, radar- ja veekogude kaugseire töörühmad.

  • Kuusk, A., Lang, M., Märdla, S., and Pisek, J. (2015) Tree stems from terrestrial laser scanner measurements. Forestry Studies | Metsanduslikud Uurimused, 63, 44–55.
  • Nikopensius, M., Pisek, J. and Raabe, K. (2015) Spectral reflectance patterns and seasonal dynamics of common understory types in three mature hemi-boreal forests. International Journal of Applied Earth Observation and Geoinformation, 43, 84-91.
  • Lang, M., Vain, A., Bunce, R.G.H., Jongman, R., Raet, J., Sepp, K., Kuusemets, V., Kikas, T. andLiba, N. (2015) Extrapolation of in situ data from 1-km squares to adjacent squares using remote sensed imagery and airborne lidar data for the assessment of habitat diversity and extent. Environmental Monitoring and Assessment, 187(3), 1-16. DOI 10.1007/s10661-015-4270-7.
  • Widlowski, J.-L., Mio, C., Disney, M., Adams, J., Andredakis, I., Atzberger, C., Brennan, J., Busetto, L., Chelle, M., Ceccherini, G., Colombo, R., Côté, J.-F., Eenmäe, A., Essery, R., Gastellu-Etchegorry, J.-P., Gobron, N., Grau, E., Haverd, V., Homolová, L., Huang, H., Hunt, L., Kobayashi, H., Koetz, B., Kuusk, A., Kuusk, J., Lang, M., Lewis, P.E., Lovell, J.L., Malenovský, Z., Meroni, M., Morsdorf, F., Mõttus, M., Ni-Meister, W., Pinty, B., Rautiainen, M., Schlerf, M., Somers, B., Stuckens, J., Verstraete, M.M., Yang, W., Zhao, F., and Zenone, T. (2015) The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing. Remote Sensing of Environment, 169, 418-437.
  • Mõttus, M., Takala, T., Stenberg, P., Knyazikhin, Y., Yang, B. and Nilson, T. (2015) Diffuse sky radiation influences the relationship between canopy PRI and shadow fraction. ISPRS Journal of Photogrammetry and Remote Sensing, 105, 54-60.
  • Mõistus, M., Lang, M. (2015) Leaf area index mapping with optical methods and allometric models in SMEAR fl ux tower footprint at Järvselja, Estonia. – Forestry Studies | Metsanduslikud Uurimused 63, 85–99.
  • He, L., Liu, J., Chen, J.M., Croft, H., Wang, R., Sprintsin, M., Zheng, T., Ryu, Y., Pisek, J., Gonsamo, A., Deng, F., and Zhang, Y. (2015) Inter- and intra-annual variations of clumping index derived from the MODIS BRDF product. International Journal of Applied Earth Observation and Geoinformation, 44, 53-60.
  • Raabe, K., Pisek, J, Sonnentag, O., and Annuk, K. (2015). Variations of leaf inclination angle distribution with height over the growing season and light exposure for eight broadleaf tree species. Agricultural and Forest Meteorology, 214-215, 2-11.
  • Niinemets, Ü., Keenan, T.F., and Hallik, L. (2015). Tansley review. A worldwide analysis of within-canopy variations in leaf structural, chemical and physiological traits across plant functional types. New Phytologist, 205(3), 973-993.
  • Pisek, J., Lang, M., and Kuusk, J. (2015). A note on suitable viewing configuration for retrieval of forest understory reflectance from multi-angle remote sensing data. Remote Sensing of Environment, 156, 242-246.
  • Chianucci, F., Macfarlane, C., Pisek, J., Cutini, A., and Casa, R. (2015). Estimation of foliage clumping from the LAI-2000 plant canopy analyzer: effect of view caps. Trees - Structure and Function, 29(2), 355-366.
  • Pisek, J., Govind, A., Arndt, S.K., Hosking, D., Wardlaw, T.J., Fang, H., Matteucci, G., andLongdzo, B. (2015).Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites. ISPRS Journal of Photogrammetry and Remote Sensing, 101, 47-56.
  • Kuusk, A., Lang, M., Kodar, A., and Sims, A. (2015). Estimation of leaf area index of hemiboreal forests. The Open Remote Sensing Journal, 6, 1-10.
  • Pisek, J., Rautiainen, M., Nikopensius, M. and Raabe, K. (2015) Estimation of seasonal dynamics of understory NDVI in northern forests using MODIS BRDF data: Semi-empirical versus physically-based approach. Remote Sensing of Environment, DOI: 10.1016/j.rse.2015.03.003.
  • Jiao, T., Liu, R., Liu, Y., Pisek, J., and Chen, J.M. (2014). Mapping global seasonal forest background reflectivity with Multi-angle Imaging Spectroradiometer data. Journal of Geophysical Research: Biogeosciences, 119(6), 1063-1077.
  • Nilson, T., Rennel, M., Lang, M. (2014). MERIS GPP/NPP product for Estonia: II. Complex meteorological limiting factor and optimum leaf area index. Metsanduslikud uurimused = Forestry studies, 61, 5–26.
  • Lang, M., Arumäe, T., Lükk, T., Sims, A. (2014). Estimation of standing wood volume and species composition in managed nemoral multi-layer mixed forests by using nearest neighbour classifier, multispectral satellite images and airborne lidar data. Metsanduslikud uurimused = Forestry studies, 61, 47–68.
  • Lukasova, V., Lang, M., and Škvarenina, J. (2014). Seasonal changes on NDVI in relation to phenological phases, LAI and PAI of beech forests. Baltic Forestry, 20(2): 248-262. http://www.balticforestry.mi.lt/bf/index.php?option=com_content&view=art...
  • Nilson, T., Voolma, K., Peterson, U., Lang, M. (2014). Okkalainelase kahjustuskolle Saaremaal Kihelkonnal Landsat-seeria piltidelt. Aan, A., Narusk, K. (Toim.). Kaugseire Eestis 2014, Tallinn, Keskkonnaagentuur, 138-148.
  • Kuusk, A. (2014). Kaugseire radiomeetria. Aan, A., Narusk, K. (Toim.). Kaugseire Eestis 2014, Tallinn, Keskkonnaagentuur, 175-181.
  • Voolma, K., Nilson, T., Pilt, E. (2014). Okkalainelane Euroopas, Saaremaal ja satelliidipildil. Eesti Mets, 46(2), 38 - 43.
  • Niinemets, Ü., Keenan, T. F., and Hallik, L. (2014). Tansley review. A worldwide analysis of within-canopy variations in leaf structural, chemical and physiological traits across plant functional types. The New Phytologist, DOI: 10.1111/nph.13096, 21 pp.
  • Nilson, T., Lang, M. (2014). Application of regional NPP models: Optimum seasonal course of FAPAR/LAI. Global Vegetation Monitoring and Modeling, Avignon, Prantsusmaa, 02-07. February 2014.
  • Mõttus, M., Sulev, M., and Hallik, L. (2014). Seasonal course of the spectral properties of alder and birch leaves. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 6, 2496-2505.
  • Kuusk, A., Kuusk, J., and Lang, M. (2014). Modeling directional forest reflectance with the hybrid type forest reflectance model FRT. Remote Sensing of Environment, 149, 196-204.
  • Otto, J., Berveiller, D., Bréon, F.-M., Delpierre, N., Geppert, G., Granier, A., Jans, W., Knohl, A., Kuusk, A., Longdoz, B., Moors, E., Mund, M., Pinty, B., Schelhaas, M.-J., and Luyssaert, S.(2014). Forest summer albedo is sensitive to species and thinning: how should we account for this in Earth system models? Biogeosciences, 11, 2411-2427. http://www.biogeosciences.net/11/2411/2014/, doi:10.5194/bg-11-2411-2014.
  • Kuusk, A., Kuusk, J., and Lang, M. (2014). Measured spectral bidirectional reflection properties of three mature hemiboreal forests. Agricultural and Forest Meteorology, 185, 14-19.
  • Zou, X., Mõttus, M., Tammeorg, P., Torres, C.L., Takala, T., Pisek, J., Mäkelä, P., Stoddard, F.L.,and Pellikka, P. (2014). Photographic measurement of leaf angles in field crops. Agricultural and Forest Meteorology, 184, 137-146.
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