Publikationen mit Begutachtung
Kappas, M., Propastin, P., Degener, J., Renchin, T. 2015. Inter-comparison and evaluation of the global LAI product (LAI3g) and the regional LAI product (GGRS-LAI) over the area of Kazakhstan. Remote Sensing, 7: 3760-3782.
Verma, M., Friedl, M. A., Richardson, A. D., Gerard Kiely, G., Cescatti, A., Law, B. E., Wohlfahrt, G., Gielen, B., Roupsard, O., Moors, E. J., Toscano, P., Vaccari, F. P., Gianelle, D., Bohrer, G., Varlagin, A., Buchmann, N., van Gorsel, E., Montagnani, L., Propastin, P. 2014. Remote Sensing of Annual Terrestrial Gross Primary Productivity from MODIS: An Assessment using the FLUXNET 'La Thuile' Dataset. Biogeosciences, 11: 2185-2200. DOI: 10.5194/bg-11-2185-2014. http://www.biogeosciences.net/11/2185/2014/bg-11-2185-2014.html
Propastin, P. 2013. Large scale mapping aboveground biomass of tropical rainforests in Sulawesi, Indonesia using Landsat ETM+ and MODIS data. GIScience & Remote Sensing, 50(6): 633-651. DOI: 10.1080/15481603.2013.850305.
Propastin, P. 2013. Satellite-based monitoring system for assessment of vegetation vulnerability to locust hazard in the River Ili delta (Lake Balkhash, Kazakhstan). Journal of Applied Remote Sensing, Vol. 7(1),075094, DOI: 10.1117/1.JRS.7.075094 http://remotesensing.spiedigitallibrary.org/article.aspx?articleid=1735618
Propastin, P. & Panferov, O. 2013. Retrieval of remotely sensed LAI using Landsat ETM+ data and ground measurements of solar radiation and vegetation structure: implication of leaf inclination angle. International Journal of Applied Earth Observation and Geoinformation, 25: 38-46.
Propastin, P. 2012. Multi-sensor monitoring system for assessment of locust risk in the Lake Balkhash drainage basin. Environmental Management, 50(5): 1234-1246. DOI: 10.1007/s00267-012-9950-2.
Propastin, P. 2012. Patterns of the Balkhash Lake level change and its climatic correlates during the period 1992-2010. Lakes & Reservoirs: Research and Management, 17(3): 161-169. DOI: 10.1111/j.1440-1770.2012.00508.x
Propastin, P. & Kappas, M. 2012. Assessing satellite-observed night-time lights for monitoring of socio-economic parameters in the Republic of Kazakhstan. GIScience & Remote Sensing, 49(4): 538-557.
Propastin, P., Ibrom, A., Knohl, A. & Erasmi, S. 2012. Effects of canopy photosynthesis saturation on the estimation of gross primary productivity from MODIS data in a tropical rainforest. Remote Sensing of Environment, 121: 252-260.
DOI: 10.1016/j.rse.2012.02.005
Kappas, M. W. & Propastin, P. 2012. Review of available products of Leaf Area Index and their suitability over the formerly Soviet Central Asia. Journal of Sensors, vol. 2012, 11 pages, DOI: 10.1155/2012/582159, http://www.hindawi.com/journals/js/2012/582159/
Propastin, P. 2012. Modifying geographically weighted regression for estimating biomass in tropical rainforest by multispectral remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 18: 82-90.
DOI: 10.1016/j.jag.2011.12.013
Propastin, P., Kappas, M., Herrmann, S. & C. Tucker. 2012. Modified light use efficiency model for assessment of carbon sequestration in grasslands of Kazakhstan: combining ground biomass data and remote sensing. International Journal of Remote Sensing, 33(5): 1465-1487.
Propastin, P. & Kappas, M. 2012. Retrieval of coarse-resolution leaf area index over the Republic of Kazakhstan using NOAA AVHRR satellite data and ground measurements. Remote Sensing, 4(1): 220-246. DOI:10.3390/rs4010220.
Propastin, P. 2011. Multi-scale analysis of the relationship between topography and aboveground biomass in the tropical rainforest of Sulawesi, Indonesia. International Journal of Geographical Information Science, 25(3): 455-472.
Propastin, P., Fotso, L. & Kappas, M. 2010. Assessment of vegetation vulnerability to ENSO warm events over Africa. International Journal of Applied Earth Observation and Geoinformation, 12 (S): 83-89. DOI: 10.1016/j.jag.2009.10.007
Propastin, P. & Erasmi, S. 2010. Derivation and validation of mid-resolution remote sensing time series of fractional vegetation cover and leaf area index for a tropical region (Sulawesi, Indonesia). International Journal of Applied Earth Observation and Geoinformation, 12(1): 47-59. DOI: 10.1016/j.jag.2009.09.013
Schwendenmann, L., Veldkamp, E., Moser, G., Hölscher, D., Iswandi, A., Clough, Y., Gunawan, D., Erasmi, S., Hertel, D., Köhler, M., Leitner, D., Leuschner, C., Michalzik, B., Propastin, P., Tjoa, A., Tscharntke, T., van Straaten, O. 2010. Effects of an experimental drought on the functioning of a cacao agro-forestry system, Sulawesi, Indonesia. Global Change Biology, 16: 1515-1530. DOI: 10.1111/j.1365-2486.2009.02034.x
Erasmi, S., Propastin, P., Kappas, M. & Panfyorov, O. 2009. Spatial patterns of NDVI variation over Indonesia and their relationship to ENSO warm events during the period 1982-2006. Journal of Climate, 22(24): 6612-6623. DOI: 10.1175/2009JCLI2460.1
Propastin, P. 2009. Relations between Landsat ETM+ spectral responses and forest structure parameters in tropical rainforest: a case study from Lore-Lindu National Park in Sulawesi (Indonesia). EARSEL eProceedings, 8(2): 93-106. http://www.eproceedings.org/static/vol08_2/08_2_propastin1.pdf
Propastin, P. 2009. Spatial non-stationarity and scale-dependency of prediction accuracy in the remote estimation of LAI over a tropical rainforest in Sulawesi, Indonesia. Remote Sensing of Environment, 113: 2234-2242. DOI: 10.1016/j.rse.2009.06.007
Propastin, P. & Kappas, M. 2009. Modelling net ecosystem exchange for grassland in Central Kazakhstan by combining remote sensing and field data. Remote Sensing, 1(3): 159-183. DOI: 10.3390/rs1030159 http://www.mdpi.com/2072-4292/1/3/159/pdf
Propastin, P. & Kappas, M. 2009. Mapping Leaf Area Index over semi-desert and steppe biomes in Kazakhstan using satellite imagery and ground measurements. EARSEL eProceedings, Vol. 8 (1): 75-92. http://www.eproceedings.org/static/vol08_1/08_1_propastin1.html
Propastin, P. & Kappas, M. 2009. Mapping Leaf Area Index in a semi-arid environment of Kazakshtan using fine-resolution satellite data and in situ measurements. GIScience & Remote Sensing, Vol. 46, Issue 2: 212-231. DOI: 10.2747/1548-1603.46.2.212 http://bellwether.metapress.com/content/p560427828886621/?p=9b54f2092bb445ff99e5e3b9c65793a7&pi=4
Propastin, P. A. & Kappas, M. 2008. Spatial response of vegetation to precipitation in drylands of Kazakshtan: combination of remote sensing data with climate records. International Journal of Natural and Engineering Sciences, 2 (3): 139-146. http://www.nobel.gen.tr/UserFiles/File/139-146.pdf
Propastin, P. A. & Kappas, M. 2008. Inter-annual changes in vegetation activities and their relationship to temperature and precipitation in Central Asia from 1982 to 2003. Journal of Environmental Informatics. Vol. 12, Issue 2: 75-87. DOI:10.3808/jei.200800126 http://www.iseis.org/JEI/abstract.asp?no=200800126
Propastin, P., Kappas, M. & Erasmi, S. 2008. Application of geographically weighted regression to investigate the impact of scale on prediction uncertainty by modelling relationships between vegetation and climate. International Journal of Spatial Data Infrastructure Research, Vol. 3: 73-94. DOI: 10.2902/1725-0463.2008.03.art6 http://ijsdir.jrc.ec.europa.eu/index.php/ijsdir/article/viewFile/89/94
Propastin, P. & Kappas, M. 2008. Spatiotemporal drifts in AVHRR/NDVI-precipitation relationship and their linkage to Land Use Change in Central Kazakhstan. EARSEL eProceedings, Vol. 7, Issue 1: 30-45. http://www.eproceedings.org/static/vol07_1/07_1_propastin1.pdf
Propastin, P., Kappas, M. & Muratova, N. 2008. A remote sensing based discrimination between climate/human-induced vegetation changes in Central Asia. Management of Environmental Quality: an International Journal, Vol. 19, Issue 5: 579-596. DOI: 10.1108/14777830810894256 http://www.emeraldinsight.com/Insight/viewPDF.jsp?contentType=Article&Filename=html/Output/Published/EmeraldFullTextArticle/Pdf/0830190506.pdf
Propastin, P. A. & M. Kappas. 2008. Reducing uncertainty in modelling NDVI-precipitation relationship: a comparative study using global and local regression techniques. GIScience & Remote Sensing, Vol. 45, Issue 1: 47-67. DOI: 10.2747/1548-1603.45.1.47 http://bellwether.metapress.com/content/75nr1g7676v63285/?p=77de02fb31654cfa935cb57a5d2f8a3b&pi=2
Propastin, P. 2008. Simple model for monitoring the water level in Balkhash Lake and discharge of the Ili River: application of remote sensing. Lakes & Reservoirs: Research and Management, Vol. 13, Issue 1: 77-81. DOI: 10.1111/j.1440-1770.2007.00354.x http://www3.interscience.wiley.com/cgi-bin/fulltext/119414859/PDFSTART
Propastin, P., Kappas, M. Erasmi, S., & Muratova, N. R. 2007. Remote sensing based study on intra-annual dynamics of vegetation and climate in drylands of Kazakhstan. Basic and Applied Dryland Research, 2: 138-154. http://www.badr-online.de/vegetation_climate_kazakhastan
Oltchev, A., Ibrom, A., Panferov, O., Gushchina, D., Propastin, P., Kreilein, H., Rauf, A., Gravenhorst, G., Knohl, A. 2015. The response of CO2 and H2O fluxes of a mountanous tropical rain forest in equatorial Indonesia to El-Nino events. Biogeosciences (submitted in February 2015).
Chen, Y., Mu, S., Sun, Z., Gang, C., Li, J., Propastin, P., Groisman, P., Chen, J., Chen, J. M. 2015. Assessing grassland carbon sequestration and major disturbances in temperate Eurasian steppe: design, simulation and validation of a multi-source based grassland ecosystem model. Biogeosciences, (submitted in February 2015).
Propastin, P. & Panferov, O. Using terrestrial laser scanning data for parameterization of Leaf Area Density vertical profiles within a birch canopy for radiation transfer modelling. Agricultural and Forest Meteorology, (submitted in October 2013)
Propastin, P., Panferov, O., Schmidt, A., Maas, H.-G., Knohl, A. & Wagner, S. Enhancement of PAR measurement based leaf area index modelling through consideration of temporal variations in leaf inclination angle and clumping index. Journal of Environmental Informatics, (submitted in November 2013).