{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T22:47:05Z","timestamp":1783118825705,"version":"3.54.6"},"reference-count":101,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2016,11,17]],"date-time":"2016-11-17T00:00:00Z","timestamp":1479340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003549","name":"Orsz\u00e1gos Tudom\u00e1nyos Kutat\u00e1si Alapprogramok","doi-asserted-by":"publisher","award":["OTKA PD-111920"],"award-info":[{"award-number":["OTKA PD-111920"]}],"id":[{"id":"10.13039\/501100003549","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003549","name":"Orsz\u00e1gos Tudom\u00e1nyos Kutat\u00e1si Alapprogramok","doi-asserted-by":"publisher","award":["OTKA K-104816"],"award-info":[{"award-number":["OTKA K-104816"]}],"id":[{"id":"10.13039\/501100003549","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004488","name":"Hrvatska Zaklada za Znanost","doi-asserted-by":"publisher","award":["UIP-11-2013-2492"],"award-info":[{"award-number":["UIP-11-2013-2492"]}],"id":[{"id":"10.13039\/501100004488","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Remote sensing provides invaluable insight into the dynamics of vegetation with global coverage and reasonable temporal resolution. Normalized Difference Vegetation Index (NDVI) is widely used to study vegetation greenness, production, phenology and the responses of ecosystems to climate fluctuations. The extended global NDVI3g dataset created by Global Inventory Modeling and Mapping Studies (GIMMS) has an exceptional 32 years temporal coverage. Due to the methodology that was used to create NDVI3g inherent noise and uncertainty is present in the dataset. To evaluate the accuracy and uncertainty of application of NDVI3g at regional scale we used Collection-6 data from the MODerate resolution Imaging Spectroradiometer (MODIS) sensor on board satellite Terra as a reference. After noise filtering, statistical harmonization of the NDVI3g dataset was performed for Central Europe based on MOD13 NDVI. Mean seasonal NDVI profiles, start, end and length of the growing season, magnitude and timing of peak NDVI were calculated from NDVI3g (original, noise filtered and harmonized) and MODIS NDVI and compared with each other. NDVI anomalies were also compared and evaluated using simple climate sensitivity metrics. The results showed that (1) the original NDVI3g has limited applicability in Central Europe, which was also implied by the significant disagreement between the NDVI3g and MODIS NDVI datasets; (2) the harmonization of NDVI3g with MODIS NDVI is promising since the newly created dataset showed improved quality for diverse vegetation metrics. For NDVI anomaly detection NDVI3g showed limited applicability, even after harmonization. Climate\u2013NDVI relationships are not represented well by NDVI3g. The presented results can help researchers to assess the expected quality of the NDVI3g-based studies in Central Europe.<\/jats:p>","DOI":"10.3390\/rs8110955","type":"journal-article","created":{"date-parts":[[2016,11,17]],"date-time":"2016-11-17T10:11:30Z","timestamp":1479377490000},"page":"955","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Evaluation of the Quality of NDVI3g Dataset against Collection 6 MODIS NDVI in Central Europe between 2000 and 2013"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3504-1668","authenticated-orcid":false,"given":"Anik\u00f3","family":"Kern","sequence":"first","affiliation":[{"name":"Department of Geophysics and Space Science, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P. st. 1\/A, Budapest H-1117, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5701-7581","authenticated-orcid":false,"given":"Hrvoje","family":"Marjanovi\u0107","sequence":"additional","affiliation":[{"name":"Croatian Forest Research Institute, Cvjetno naselje 41, Jastrebarsko HR-10450, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1278-0636","authenticated-orcid":false,"given":"Zolt\u00e1n","family":"Barcza","sequence":"additional","affiliation":[{"name":"Department of Meteorology, E\u00f6tv\u00f6s Lor\u00e1nd University, P\u00e1zm\u00e1ny P. st. 1\/A, Budapest H-1117, Hungary"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,11,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Friedlingstein, P., Cox, P., Betts, R., Bopp, L., Von Bloh, W., Brovkin, V., Cadule, P., Doney, S., Eby, M., and Fung, I. (2006). Climate-carbon cycle feedback analysis: Results from the C4MIP model intercomparison. J. Clim.","DOI":"10.1175\/JCLI3800.1"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Friedlingstein, P., and Prentice, I.C. (2010). Carbon-climate feedbacks: A review of model and observation based estimates. Curr. Opin. Environ. Sustain.","DOI":"10.1016\/j.cosust.2010.06.002"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Richardson, A.D., Black, T.A., Ciais, P., Delbart, N., Friedl, M.A., Gobron, N., Hollinger, D.Y., Kutsch, W.L., Longdoz, B., and Luyssaert, S. (2010). Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philos. R. Soc. B.","DOI":"10.1098\/rstb.2010.0102"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Ahlstr\u00f6m, A., Raupach, M.R., Schurgers, G., Smith, B., Arneth, A., Jung, M., Reichstein, M., Canadell, J.G., Friedlingstein, P., and Jain, A.K. (2015). The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science.","DOI":"10.1126\/science.aaa1668"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1126\/science.1082750","article-title":"Climate-Driven increases in global terrestrial net primary production from 1982 to 1999","volume":"300","author":"Nemani","year":"2003","journal-title":"Science"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Piao, S., Ciais, P., Friedlingstein, P., de Noblet-Ducoudr\u00e9, N., Cadule, P., Viovy, N., and Wang, T. (2009). Spatiotemporal patterns of terrestrial carbon cycle during the 20th century. Glob. Biogeochem. Cycle.","DOI":"10.1029\/2008GB003339"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.1111\/j.1365-2486.2005.001012.x","article-title":"Spatial analysis of growing season length control over net ecosystem exchange","volume":"11","author":"Churkina","year":"2005","journal-title":"Glob. Chang. Biol."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Piao, S.L., Friedlingstein, P., Ciais, P., Viovy, N., and Demarty, J. (2007). Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades. Glob. Biogeochem. Cycle.","DOI":"10.1029\/2006GB002888"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1111\/j.1365-2486.2005.00930.x","article-title":"A generalized, bioclimatic index to predict foliar phenology in response to climate","volume":"11","author":"Jolly","year":"2005","journal-title":"Glob. Chang. Biol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.agrformet.2012.09.012","article-title":"Climate change, phenology, and phenological control of vegetation feedbacks to the climate system","volume":"169","author":"Richardson","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1038\/nclimate2253","article-title":"Net carbon uptake has increased through warming-induced changes in temperate forest phenology","volume":"4","author":"Keenan","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2634","DOI":"10.1111\/gcb.12890","article-title":"The timing of autumn senescence is affected by the time of spring phenology: Implications for predictive models","volume":"21","author":"Keenan","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"4693","DOI":"10.5194\/bg-12-4693-2015","article-title":"Probing the past 30-year phenology trend of US deciduous forests","volume":"12","author":"Yue","year":"2015","journal-title":"Biogeosciences"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1038\/nature16986","article-title":"Sensitivity of global terrestrial ecosystems to climate variability","volume":"531","author":"Seddon","year":"2016","journal-title":"Nature"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.agrformet.2015.11.007","article-title":"Evaluating phenological models for the prediction of leaf-out dates in six temperate tree species across central Europe","volume":"217","author":"Basler","year":"2016","journal-title":"Agric. For. Meteorol."},{"key":"ref_16","unstructured":"Rouse, J.W., Haas, R.H., Schell, J.A., and Deering, D.W. (1974). Monitoring vegetation systems in the Great Plains with ERTS, Third Earth Resources Technology Satellite-1 Symposium."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1038\/386698a0","article-title":"Increased plant growth in the northern high latitudes from 1981 to 1991","volume":"386","author":"Myneni","year":"1997","journal-title":"Nature"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/S0034-4257(02)00135-9","article-title":"Monitoring vegetation phenology using MODIS","volume":"84","author":"Zhang","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3303","DOI":"10.1080\/01431160310001618149","article-title":"European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset","volume":"25","author":"Vidale","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3347","DOI":"10.1080\/01431169408954335","article-title":"The Pathfinder AVHRR land dataset: An improved coarse resolution dataset for terrestrial monitoring","volume":"15","author":"James","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/S0273-1177(01)00349-0","article-title":"The exciting and totally unanticipated success of the AVHRR in applications for which it was never intended","volume":"28","author":"Cracknell","year":"2001","journal-title":"Adv. Space Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4485","DOI":"10.1080\/01431160500168686","article-title":"An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data","volume":"26","author":"Tucker","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1175\/1520-0450(1984)023<0491:GVIFTN>2.0.CO;2","article-title":"Global Vegetation Indices from NOAA-7 Meteorological Satellite","volume":"23","author":"Tarpley","year":"1984","journal-title":"J. Clim. Appl. Meteorol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3493","DOI":"10.1080\/01431169408954342","article-title":"A global 1\u00b0\u00d71\u00b0 NDVI data set for climate studies derived from the GIMMS continental NDVI data","volume":"15","author":"Los","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"6929","DOI":"10.3390\/rs6086929","article-title":"A Non-Stationary 1981\u20132012 AVHRR NDVI3g Time Series","volume":"6","author":"Pinzon","year":"2014","journal-title":"Remote Sens."},{"key":"ref_26","unstructured":"Didan, K. (2010, January 25\u201330). Multi-satellite earth science data record for studying global vegetation trends and changes. Proceedings of the 2010 International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Pedelty, J., Devadiga, S., Masuoka, E., Brown, M.E., Pinzon, J.E., Tucker, C.J., Roy, D., Ju, J., Vermote, E., and Prince, S. (2007, January 23\u201328). Generating a long-term land data record from the AVHRR and MODIS Instruments. Proceedings of the 2007 IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain.","DOI":"10.1109\/IGARSS.2007.4422974"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1175\/1525-7541(2000)001<0183:AGYBLS>2.0.CO;2","article-title":"A global 9-year biophysical land-surface data set from NOAA AVHRR data","volume":"1","author":"Los","year":"2000","journal-title":"J. Hydrometeorol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"324","DOI":"10.5589\/m05-024","article-title":"Generating historical AVHRR 1 km baseline satellite data records over Canada suitable for climate change studies","volume":"31","author":"Latifovic","year":"2005","journal-title":"Can. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Doelling, D.R., Garber, D.P., Avey, L.A., Nguyen, L., and Minnis, P. (2007). The calibration of AVHRR visible dual gain using Meteosat-8 for NOAA-16 to 18. Proc. SPIE.","DOI":"10.1117\/12.736080"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Cao, C., Xiong, X., Wu, A., and Wu, X. (2008). Assessing the consistency of AVHRR and MODIS L1B reflectance for generating fundamental climate data records. J. Geophys. Res.","DOI":"10.1029\/2007JD009363"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.rse.2005.10.002","article-title":"Multi-sensor NDVI data continuity: Uncertainties and implications for vegetation monitoring applications","volume":"100","author":"Orr","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2547","DOI":"10.1016\/j.rse.2011.05.012","article-title":"Global evaluation of four AVHRR-NDVI data sets: Intercomparison and assessment against Landsat imagery","volume":"115","author":"Beck","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.rse.2011.12.015","article-title":"Evaluation of Earth Observation based global long term vegetation trends\u2014Comparing GIMMS and MODIS global NDVI time series","volume":"119","author":"Fensholt","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"257","DOI":"10.3390\/rs6010257","article-title":"Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series","volume":"6","author":"Atzberger","year":"2014","journal-title":"Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3918","DOI":"10.3390\/rs5083918","article-title":"Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at global scales","volume":"5","author":"Zeng","year":"2013","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1111\/geb.12338","article-title":"Global-scale mapping of changes in ecosystem functioning from earth observation-based trends in total and recurrent vegetation","volume":"24","author":"Fensholt","year":"2015","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3520","DOI":"10.1111\/gcb.12945","article-title":"Time-lag effects of global vegetation responses to climate change","volume":"21","author":"Wu","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Zhang, K., Kimball, J.S., Nemani, R.R., Running, S.W., Hong, Y., Gourley, J.J., and Yu, Z. (2015). Vegetation greening and climate change promote multidecadal rises of global land evapotranspiration. Sci. Rep.","DOI":"10.1038\/srep15956"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1456","DOI":"10.1111\/gcb.13168","article-title":"Variability and evolution of global land surface phenology over the past three decades (1982\u20132012)","volume":"22","author":"Garonna","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2852","DOI":"10.1111\/gcb.13224","article-title":"Trends toward an earlier peak of the growing season in Northern Hemisphere mid-latitudes","volume":"22","author":"Xu","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2113","DOI":"10.3390\/rs5052113","article-title":"Trend change detection in ndvi time series: Effects of inter-annual variability and methodology","volume":"5","author":"Forkel","year":"2013","journal-title":"Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Detsch, F., Otte, I., Appelhans, T., and Nauss, T. (2016). A Comparative Study of Cross-Product NDVI Dynamics in the Kilimanjaro Region\u2014A Matter of Sensor, Degradation Calibration, and Significance. Remote Sens.","DOI":"10.3390\/rs8020159"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1111\/gcb.13081","article-title":"Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate China","volume":"22","author":"Liu","year":"2016","journal-title":"Glob. Chang. Biol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1787","DOI":"10.1109\/TGRS.2005.860205","article-title":"Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors","volume":"44","author":"Brown","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.1109\/TGRS.2006.875940","article-title":"Evaluating MODIS, MERIS, and VEGETATION vegetation indices using in situ measurements in a semiarid environment","volume":"44","author":"Fensholt","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.rse.2007.05.008","article-title":"Multiscale geostatistical analysis of AVHRR, SPOT-VGT, and MODIS global NDVI products","volume":"112","author":"Tarnavsky","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"4309","DOI":"10.1073\/pnas.1210423110","article-title":"Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011","volume":"110","author":"Zhang","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"625","DOI":"10.5194\/bg-13-625-2016","article-title":"Global assessment of Vegetation Index and Phenology Lab (VIP) and Global Inventory Modeling and Mapping Studies (GIMMS) version 3 products","volume":"13","author":"Marshall","year":"2016","journal-title":"Biogeosciences"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1291","DOI":"10.3390\/s100201291","article-title":"Evaluating the consistency of the 1982\u20131999 NDVI trends in the Iberian Peninsula across four time-series derived from the AVHRR sensor: LTDR, GIMMS, FASIR, and PAL-II","volume":"10","author":"Liras","year":"2010","journal-title":"Sensors"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"4031","DOI":"10.3390\/rs5084031","article-title":"A Comparative Analysis between GIMSS NDVIg and NDVI3g for monitoring vegetation activity change in the northern hemisphere during 1982\u20132008","volume":"5","author":"Jiang","year":"2013","journal-title":"Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1228","DOI":"10.1109\/36.701075","article-title":"The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global change research","volume":"36","author":"Justice","year":"1998","journal-title":"Trans. Geosci. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Xiong, X., Wenny, B.N., and Barnes, W.L. (2009). Overview of NASA earth observing systems Terra and Aqua moderate resolution imaging spectroradiometer instrument calibration algorithms and on-orbit performance. J. Appl. Remote Sens.","DOI":"10.1117\/1.3180864"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.rse.2011.12.001","article-title":"Impact of sensor degradation on the MODIS NDVI time series","volume":"119","author":"Wang","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Lyapustin, A., Wang, Y., Xiong, X., Meister, G., Platnick, S., Levy, R., Franz, B., Korkin, S., Hilker, T., and Tucker, J. (2014). Scientific impact of MODIS C5 calibration degradation and C6+ improvements. Atmos. Meas. Tech.","DOI":"10.5194\/amtd-7-7281-2014"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2006JG000217","article-title":"Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements","volume":"111","author":"Zhang","year":"2006","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.agrformet.2007.04.001","article-title":"Determining vegetation indices from solar and photosynthetically active radiation fluxes","volume":"144","author":"Wilson","year":"2007","journal-title":"Agric. For. Meteorol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.rse.2013.01.010","article-title":"Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements","volume":"132","author":"Hmimina","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.rse.2015.12.017","article-title":"Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated with MODIS and FLUXNET in-situ observations","volume":"174","author":"Balzarolo","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.rse.2005.03.008","article-title":"A crop phenology detection method using time-series MODIS data","volume":"96","author":"Sakamoto","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"3647","DOI":"10.1111\/gcb.12961","article-title":"Precipitation impacts on vegetation spring phenology on the Tibetan Plateau","volume":"21","author":"Shen","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1111\/j.1365-2486.2006.01224.x","article-title":"Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: A joint flux tower, remote sensing and modelling analysis","volume":"13","author":"Reichstein","year":"2006","journal-title":"Glob. Chang. Biol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"3414","DOI":"10.1111\/gcb.12950","article-title":"Co-dominant water control on global inter-annual variability and trends in land surface phenology and greenness","volume":"21","author":"Forkel","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/gdj3.22","article-title":"Bridging the gap between climate models and impact studies: The FORESEE Database","volume":"2","author":"Dobor","year":"2014","journal-title":"Geosci. Data J."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1080\/01431168608948945","article-title":"Characteristics of maximum-value composite images from temporal AVHRR data","volume":"7","author":"Holben","year":"1986","journal-title":"Int. J. Remote Sens."},{"key":"ref_67","unstructured":"Didan, K., Munoz, A.B., Solano, R., and Huete, A. MODIS Vegetation Index User\u2019s Guide (MOD13 Series) Version 3.00, June 2015 (Collection 6). Available online: https:\/\/vip.arizona.edu\/documents\/MODIS\/MODIS_VI_UsersGuide_01_2012.pdf."},{"key":"ref_68","unstructured":"Land Processes Distributed Active Archive Center (LP DAAC) MOD13A2 and MYD13A2, Collection 6. NASA EOSDIS Land Processes DAAC, USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, Available online: https:\/\/lpdaac.usgs.gov."},{"key":"ref_69","unstructured":"EOSDIS, Earth Observing System ClearingHouse (ECHO)\/Reverb Version 10.91.5 [online application]. Greenbelt, MD: EOSDIS, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA), Available online: http:\/\/reverb.echo.nasa.gov\/reverb."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Samanta, A., Ganguly, S., Hashimoto, H., Devadiga, S., Vermote, E., Knyazikhin, Y., Nemani, R.R., and Myneni, R.B. (2010). Amazon forests did not green-up during the 2005 drought. Geophys. Res. Lett.","DOI":"10.1029\/2009GL042154"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1585","DOI":"10.1080\/01431169208904212","article-title":"The Best Index Slope Extraction: A method for reducing noise in NDVI time-series","volume":"13","author":"Viovy","year":"1992","journal-title":"Int. J. Remote Sens."},{"key":"ref_72","unstructured":"Jarvis, A., Reuter, H.I., Nelson, A., and Guevara, E. Hole-Filled Seamless SRTM Data V4. International Centre for Tropical Agriculture (CIAT), 2008. Available online: http:\/\/srtm.csi.cgiar.org."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Haylock, M.R., Hofstra, N., Klein Tank, A.M.G., Klok, E.J., Jones, P.D., and New, M. (2008). A European daily high-resolution gridded data set of surface temperature and precipitation for 1950\u20132006. J. Geophys. Res.","DOI":"10.1029\/2008JD010201"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.isprsjprs.2012.09.006","article-title":"Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe","volume":"74","year":"2012","journal-title":"ISPRS J. Photogramm."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1080\/16742834.2014.11447225","article-title":"Assessing MODIS land cover products over china with probability of interannual change","volume":"7","author":"Hao","year":"2014","journal-title":"Atmos. Ocean. Sci. Lett."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2009.08.016","article-title":"MODIS collection 5 global land cover: Algorithm refinements and characterization of new datasets","volume":"114","author":"Friedl","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"2538","DOI":"10.1016\/j.rse.2007.11.013","article-title":"Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1km datasets","volume":"112","author":"Herold","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_78","unstructured":"EEA, Co\u2011Ordinated Information on the Environment (CORINE) Land Cover 2012, Version 18.4. European Commission\u2014Directorate-General for Internal Market, Industry, Entrepreneurship and SMEs (DG-GROW, Data Owner), European Environment Agency (EEA, Data Custodian). Available online: http:\/\/land.copernicus.eu\/pan-european\/corine-land-cover\/clc-2012."},{"key":"ref_79","unstructured":"B\u00fcttner, G., and Maucha, G. (2006). The Thematic Accuracy of CORINE Land Cover 2000. Assessment Using LUCAS (Land Use\/Cover Area Frame Statistical Survey), European Environment Agency."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1016\/j.agrformet.2008.10.021","article-title":"Spatial representativeness of tall tower eddy covariance measurements using remote sensing and footprint analysis","volume":"149","author":"Barcza","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature03972","article-title":"Europe-wide reduction in primary productivity caused by the heat and drought in 2003","volume":"437","author":"Ciais","year":"2005","journal-title":"Nature"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"2897","DOI":"10.5194\/bg-11-2897-2014","article-title":"Response of vegetation to the 2003 European drought was mitigated by height","volume":"11","author":"Bevan","year":"2014","journal-title":"Biogeosciences"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/j.rse.2010.10.011","article-title":"Analysis of monotonic greening and browning trends from global NDVI time-series","volume":"115","author":"Schaepman","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1111\/j.1365-2486.2011.02578.x","article-title":"Trend changes in global greening and browning: Contribution of short-term trends to longer-term change","volume":"18","author":"Verbesselt","year":"2012","journal-title":"Glob. Chang. Biol."},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Liu, Q., Fu, Y.H., Zhu, Z., Liu, Y., Liu, Z., Huang, M., Janssens, I.A., and Piao, S. (2016). Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology. Glob. Chang. Biol.","DOI":"10.1111\/gcb.13311"},{"key":"ref_86","first-page":"528","article-title":"Integrating AVHRR and MODIS data to monitor NDVI changes and their relationships with climatic parameters in Northeast China","volume":"18","author":"Mao","year":"2012","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.rse.2008.09.003","article-title":"Noise reduction of NDVI time series: An empirical comparison of selected techniques","volume":"113","author":"Hird","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"3743","DOI":"10.1111\/gcb.12610","article-title":"Unexpected role of winter precipitation in determining heat requirement for spring vegetation green-up at northern middle and high latitudes","volume":"20","author":"Fu","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Zscheischler, J., Mahecha, M.D., von Buttlar, J., Harmeling, S., Jung, M., Rammig, A., Randerson, J.T., Schlkopf, B., Seneviratne, S.I., and Tomelleri, E. (2014). A few extreme events dominate global interannual variability in gross primary production. Environ. Res. Lett.","DOI":"10.1088\/1748-9326\/9\/3\/035001"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1111\/geb.12279","article-title":"A model quantifying global vegetation resistance and resilience to short-term climate anomalies and their relationship with vegetation cover","volume":"24","author":"Lhermitte","year":"2015","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_91","unstructured":"Drought Management Centre for Southeastern Europe (DMCSEE) Website. Available online: http:\/\/www.dmcsee.org\/."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1002\/joc.1280","article-title":"Europe\u2019s 2003 heat wave: A satellite view of impacts and land - Atmosphere feedbacks","volume":"26","author":"Zaitchik","year":"2006","journal-title":"Int. J. Climatol."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1080\/01431160802546829","article-title":"Assessment of rainfall and NDVI anomalies in Spain (1989\u20131999) using distributed lag models","volume":"30","author":"Udelhoven","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Atkinson, P.M., Dash, J., and Jeganathan, C. (2011). Amazon vegetation greenness as measured by satellite sensors over the last decade. Geophys. Res. Lett.","DOI":"10.1029\/2011GL049118"},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/0273-1177(93)90559-T","article-title":"Global correlation of temperature, NDVI and precipitation","volume":"13","author":"Schultz","year":"1993","journal-title":"Adv. Space Res."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1126\/science.278.5339.870","article-title":"The response of global terrestrial ecosystems to interannual temperature variability","volume":"278","author":"Braswell","year":"1997","journal-title":"Science"},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.gloplacha.2012.09.007","article-title":"The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia","volume":"110","author":"Gessner","year":"2013","journal-title":"Glob. Planet. Chang."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.agee.2016.04.030","article-title":"Similar responses of soil carbon storage to drought and irrigation in terrestrial ecosystems but with contrasting mechanisms: A meta-analysis","volume":"228","author":"Zhou","year":"2016","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1007\/s10113-015-0890-2","article-title":"Future climate of the Carpathians: Climate change hot-spots and implications for ecosystems","volume":"16","author":"Trombik","year":"2016","journal-title":"Reg. Environ. Chang."},{"key":"ref_100","first-page":"159","article-title":"Assessment of forest damage in Croatia using Landsat-8 OLI Images","volume":"6","author":"Rupasinghe","year":"2015","journal-title":"South-East Eur. For."},{"key":"ref_101","unstructured":"Kern, A., Marjanovi\u0107, H., and Barcza, Z. MODIS-adjusted NDVI3g for Central Europe v1.1 (Dataset). E\u00f6tv\u00f6s Lor\u00e1nd University, Hungary. Available online: https:\/\/zenodo.org\/record\/162306."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/11\/955\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:35:48Z","timestamp":1760211348000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/11\/955"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,17]]},"references-count":101,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2016,11]]}},"alternative-id":["rs8110955"],"URL":"https:\/\/doi.org\/10.3390\/rs8110955","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,17]]}}}