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Search Items: phenology, . hits: 21

** = Publications listed in SCI/SSCI - Journals (published in Web of Science)
* = peer-reviewed publication (not listed in SCI/SSCI)
Only: Full paper/article, Review, Proceedings Paper


** Kostkova, M; Hlavinka, P; Pohankova, E; Kersebaum, KC; Nendel, C; Gobin, A; Olesen, JE; Ferrise, R; Dibari, C; Takac, J; Topaj, A; Medvedev, S; Hoffmann, MP; Stella, T; Balek, J; Ruiz-Ramos, M; Rodriguez, A; Hoogenboom, G; Shelia, V; Ventrella, D; Giglio, L; Sharif, B; Ozturk, I; Rotter, RP; Balkovic, J; Skalsky, R; Moriondo, M; Thaler, S; Zalud, Z; Trnka, M Performance of 13 crop simulation models and their ensemble for simulating four field crops in Central Europe.

J AGR SCI-CAMBRIDGE. 2021; 159(1-2), PII S0021859621000216 69-89. WoS FullText FullText_BOKU


** Bogdziewicz, M; Pesendorfer, M; Crone, EE; Perez-Izquierdo, C; Bonal, R Flowering synchrony drives reproductive success in a wind-pollinated tree.

ECOL LETT. 2020; 23(12): 1820-1826. WoS PubMed FullText FullText_BOKU

** Bogdziewicz, M; Szymkowiak, J; Bonal, R; Hacket-Pain, A; Espelta, JM; Pesendorfer, M; Grewling, L; Kasprzyk, I; Belmonte, J; Kluska, K; De Linares, C; Penuelas, J; Fernandez-Martinez, M What drives phenological synchrony? Warm springs advance and desynchronize flowering in oaks.

AGR FOREST METEOROL. 2020; 294, 108140 WoS FullText FullText_BOKU

** Zurita-Milla, R; Goncalves, R; Izquierdo-Verdiguier, E; Ostermann, FO Exploring Spring Onset at Continental Scales: Mapping Phenoregions and Correlating Temperature and Satellite-Based Phenometrics.

IEEE T BIG DATA. 2020; 6(3): 583-593. WoS FullText FullText_BOKU


** Huang, X; Liu, JH; Zhu, WQ; Atzberger, C; Liu, QF The Optimal Threshold and Vegetation Index Time Series for Retrieving Crop Phenology Based on a Modified Dynamic Threshold Method.

REMOTE SENS-BASEL. 2019; 11(23), 2725 WoS FullText FullText_BOKU

** von Bennewitz, E; Suazo, S; Keutgen, AJ; Losak, T; Carrasco-Benavides, M Seasonal Root, Shoot, and Fruit Growth Patterns in Kiwifruit (Actinidia deliciosa a. Chev.) in Central Chile.

ERWERBS-OBSTBAU. 2019; 61(3): 283-292. WoS FullText FullText_BOKU


** Bodner, G; Kronberga, A; Lepse, L; Olle, M; Vagen, IM; Rabante, L; Fernandez, JA; Ntatsi, G; Balliu, A; Rewald, B Trait identification of faba bean ideotypes for Northern European environments.

EUR J AGRON. 2018; 96: 1-12. WoS FullText FullText_BOKU

** Mehdipoor, H; Zurita-Milla, R; Izquierdo-Verdiguier, E; Betancourt, JL Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States.

INT J CLIMATOL. 2018; 38(14): 5430-5440. WoS FullText FullText_BOKU


** Koenig, WD; Knops, JMH; Pesendorfer, MB; Zaya, DN; Ashley, MV Drivers of synchrony of acorn production in the valley oak (Quercus lobata) at two spatial scales.

ECOLOGY. 2017; 98(12): 3056-3062. WoS PubMed FullText FullText_BOKU

** Schebeck, M; Schopf, A Temperature-dependent development of the European larch bark beetle, Ips cembrae.

J APPL ENTOMOL. 2017; 141(4): 322-328. WoS FullText FullText_BOKU

** Sun, LY; Schulz, K Spatio-Temporal LAI Modelling by Integrating Climate and MODIS LAI Data in a Mesoscale Catchment.

REMOTE SENS-BASEL. 2017; 9(2): WoS FullText FullText_BOKU


** Nakhforoosh, A; Grausgruber, H; Kaul, HP; Bodner, G; Dissection of drought response of modern and underutilized wheat varieties according to Passioura"s yield-water framework..

Front Plant Sci. 2015; 6:570 WoS PubMed PUBMED Central FullText FullText_BOKU


** Atzberger, C; Klisch, A; Mattiuzzi, M; Vuolo, F Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series.

REMOTE SENS-BASEL. 2014; 6(1): 257-284. WoS FullText FullText_BOKU

** Klisch, A; Atzberger, C Evaluating Phenological Metrics derived from the MODIS Time Series over the European Continent.

PHOTOGRAMM FERNERKUN. 2014; (5): 409-421. WoS FullText FullText_BOKU

** Mattiuzzi, M; Bussink, C; Bauer, T Analysing Phenological Characteristics Extracted from Landsat NDVI Time Series to Identify Suitable Image Acquisition Dates for Cannabis Mapping in Afghanistan.

PHOTOGRAMM FERNERKUN. 2014; (5): 383-392. WoS FullText FullText_BOKU


** Atzberger, C Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs.

REMOTE SENS-BASEL. 2013; 5(2): 949-981. WoS FullText FullText_BOKU


** Atkinson, PM; Jeganathan, C; Dash, J; Atzberger, C Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology.

REMOTE SENS ENVIRON. 2012; 123: 400-417. WoS FullText FullText_BOKU

** Olesen, JE; Borgesen, CD; Elsgaard, L; Palosuo, T; Rotter, RP; Skjelvag, AO; Peltonen-Sainio, P; Borjesson, T; Trnka, M; Ewert, F; Siebert, S; Brisson, N; Eitzinger, J; van Asselt, ED; Oberforster, M; van der Fels-Klerx, HJ Changes in time of sowing, flowering and maturity of cereals in Europe under climate change.

FOOD ADDIT CONTAM A. 2012; 29(10): 1527-1542. WoS PubMed FullText FullText_BOKU


** Koukal, T., Suppan, F., Schneider, W. The impact of relative radiometric calibration on the accuracy of kNN-predictions of forest attributes.

REMOTE SENS ENVIRON, 110, 431-437; ISSN 0034-4257 WoS FullText FullText_BOKU

** Peter Baier, Josef Pennerstorfer, Axel Schopf PHENIPS—A comprehensive phenology model of Ips typographus (L.) (Col., Scolytinae) as a tool for hazard rating of bark beetle infestation.

FOREST ECOL MANAG, 249, 171-186; ISSN 0378-1127 WoS FullText FullText_BOKU


** Soja, G; Barnes, JD; Posch, M; Vandermeiren, K; Pleijel, H; Mills, G; Phenological weighting of ozone exposures in the calculation of critical levels for wheat, bean and plantain..

Environ Pollut. 2000; 109(3):517-524 WoS PubMed FullText FullText_BOKU

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