Taimkatteseire publikatsioonid

27.10.2021
#teadus

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.

EXOHOST seminar: Prof. Sara Seager "Planeetide atmosfäärid ja maavälise elu jälgede otsingud"

Massachusettsi Tehnoloogiainstituudi (MIT) professor Sara Seager on juhtiv teadlane eksoplaneetide alal ning kuulub ka Tartu observatooriumi projekti EXOHOST nõuandekomisjoni!
Tartu observatooriumi teaduskonverents - Tartu Ülikool

27. märtsil toimub Tartu observatooriumi teaduskonverents

4-year PhD position in space research and technology: Retrieval of leaf angle distribution information from multi-angle remote sensing data

This doctoral thesis will devise, test, and implement a novel methodology exploiting multi-angle sensors to retrieve leaf angle distribution (LAD).