journal article Jun 01, 2020

Statistical modelling of drought-related yield losses using soil moisture-vegetation remote sensing and multiscalar indices in the south-eastern Europe

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References
68
[1]
Abad "Evaluation of the incidence of severe trimming on grapevine (Vitis vinifera L.) water consumption" Agric. Water Manag. (2019) 10.1016/j.agwat.2018.10.015
[2]
Bauer-Marschallinger (2019)
[3]
Bauer-Marschallinger "Soil moisture from fusion of scatterometer and SAR: closing the scale gap with temporal filtering" Remote Sens. (2018) 10.3390/rs10071030
[4]
Bauer-Marschallinger "Toward global soil moisture monitoring with Sentinel-1: harnessing assets and overcoming obstacles" IEEE Trans. Geosci. Remote. Sens. (2018)
[5]
Brocca "ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy" Remote Sens. Environ. (2010) 10.1016/j.rse.2010.06.009
[6]
Burke "Satellite-based assessment of yield variation and its determinants in smallholder African systems" PNAS (2017) 10.1073/pnas.1616919114
[7]
Cellete "Below ground interactions in a vine (Vitis vinifera L.)-tall fescue (Festuca arundinacea Shreb.) intercropping system:water relations and growth" Plant Soil (2005) 10.1007/s11104-005-4415-5
[8]
Costea "Assessment of climatic conditions as driving factors of wine aromatic compounds: a case study from Central Romania" Theor. Appl. Climatol. (2018)
[9]
El-Naggar "Soil sensing technology improves application of irrigation water" Agric. Water Manag. (2020)
[10]
European Commission (2019)
[11]
Fan "Hydrologic regulation of plant rooting depth" Proc. Natl. Acad. Sci. U. S. A. (2017) 10.1073/pnas.1712381114
[12]
FAOSTAT (2019)
[13]
Foresee "Gauss-Newton approximation to Bayesian regularization" Proceedings of the International Joint Conference on Neural Networks (1997)
[14]
Hannah "Climate change, wine, and conservation" Proc. Natl. Acad. Sci. U. S. A. (2013) 10.1073/pnas.1210127110
[15]
Huete "Overview of the radiometric and biophysical performance of the MODIS vegetation indices" Remote Sens. Environ. (2002) 10.1016/s0034-4257(02)00096-2
[16]
Irimia "Climate change impact on climate suitability for wine production in Romania" Theor. Appl. Climatol. (2017) 10.1007/s00704-017-2156-z
[17]
Jiang "Development of a two-band enhanced vegetation index without a blue band" Remote Sens. Environ. (2008) 10.1016/j.rse.2008.06.006
[18]
Johnson "Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods" Agric. For. Meteorol. (2016) 10.1016/j.agrformet.2015.11.003
[19]
Kern "Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices" Agric. For. Meteorol. (2018) 10.1016/j.agrformet.2018.06.009
[20]
Kogan "Application of vegetation index and brightness temperature for drought detection" Adv. Space Res. (1995) 10.1016/0273-1177(95)00079-t
[21]
Kuhn (2019)
[22]
Kukal "Climate-driven crop yield and yield variability and climate change impacts on the U. S. great plains agricultural production" Sci. Rep. (2018) 10.1038/s41598-018-21848-2
[23]
Lecerf "Assessing the information in crop model and meteorological indicators to forecast crop yield over Europe" Agric. Syst. (2019) 10.1016/j.agsy.2018.03.002
[24]
Leng "Crop yield sensitivity of global major agricultural countries to droughts and the projected changes in the future" Sci. Total Environ. (2019) 10.1016/j.scitotenv.2018.10.434
[25]
Lobell "On the use of statistical models to predict crop yield responses to climate change" Agric. For. Meteorol. (2010) 10.1016/j.agrformet.2010.07.008
[26]
MacKay "Bayesian interpolation" Neural Comput. (1992) 10.1162/neco.1992.4.3.415
[27]
Madadgar "Probabilistic estimates of drought impacts on agricultural production" Geophys. Res. Lett. (2017) 10.1002/2017gl073606
[28]
Moore "The fingerprint of climate trends on European crop yields" Proc. Natl. Acad. Sci. U. S. A. (2015) 10.1073/pnas.1409606112
[29]
MoU (2018)
[30]
Mouatadid "Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region" Atmos. Res. (2018) 10.1016/j.atmosres.2018.05.012
[31]
Možný "Drought reconstruction based on grape harvest dates for the Czech Lands, 1499−2012" Clim. Res. (2016) 10.3354/cr01423
[32]
NBS (2019)
[33]
Nguyen "Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights" Proceedings of the IJCNN (1990)
[34]
Páscoa "Vegetation vulnerability to drought on southeastern Europe" Hydrol. Earth Syst. Sci. Discuss (2018)
[35]
Paulik "Validation of the ASCAT soil water index using in situ data from the International Soil Moisture Network" Int. J. Appl. Earth Obs. Geoinf. (2014)
[36]
Perez Rodriguez (2018)
[37]
Potop "Evolution of drought severity and its impact on corn in the Republic of Moldova" Theor. Appl. Climatol. (2011) 10.1007/s00704-011-0403-2
[38]
Potopová "Performance of the standardized precipitation evapotranspiration index at various lags for agricultural drought risk assessment in the Czech Republic" Agric. For. Meteorol. (2015) 10.1016/j.agrformet.2014.11.022
[39]
Potopová "Impact of agricultural drought on main crop yields in the Republic of Moldova" Int. J. Climatol. (2016) 10.1002/joc.4481
[40]
Potopová "Driving role of snow cover on soil moisture and drought developing during the growing season in the Czech Republic" Int. J. Climatol. (2016) 10.1002/joc.4588
[41]
Potopová "The impacts of key adverse weather events on the field-grown vegetable yield variability in the Czech Republic from 1961 to 2014" Int. J. Climatol. (2016)
[42]
Potopová "Application of hydroclimatic drought indicators in the transboundary Prut River basin" Theor. Appl. Climatol. (2019) 10.1007/s00704-019-02789-w
[43]
Potopová "Vulnerability of hop-yields due to compound drought and heat events over European key-hop regions" Int. J. Climatol. (2020)
[44]
Pullens "Risk factors for European winter oilseed rape production under climate Change" Agric. For. Meteorol. (2019) 10.1016/j.agrformet.2019.03.023
[45]
R Core Team (2019)
[46]
Ribeiro "Probabilistic modelling of the dependence between rainfed crops and drought hazard" Nat. Hazards Earth Syst. Sci. Discuss. (2019) 10.5194/nhess-19-2795-2019
[47]
Ruosteenoja "Seasonal soil moisture and drought occurrence in Europe in CMIP5 projections for the 21st century" Clim. Dyn. (2017)
[48]
Sacchelli "Climate change effects and adaptation strategies in the wine sector: a quantitative literature review" Wine Econ. Policy (2016) 10.1016/j.wep.2016.08.001
[49]
Sandra "On modelling the relationship between vegetation greenness and water balance and land use change" Sci. Rep. (2018) 10.1038/s41598-018-27139-0
[50]
Stagge "Candidate distributions for climatological drought indices (SPI and SPEI)" Int. J. Climatol. (2015) 10.1002/joc.4267

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Published
Jun 01, 2020
Vol/Issue
236
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106168
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Vera Potopová, Miroslav Trnka, Pavel Hamouz, et al. (2020). Statistical modelling of drought-related yield losses using soil moisture-vegetation remote sensing and multiscalar indices in the south-eastern Europe. Agricultural Water Management, 236, 106168. https://doi.org/10.1016/j.agwat.2020.106168