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Igor V. Savin
Researcher at Food and Agriculture Organization
Publications - 10
Citations - 413
Igor V. Savin is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Soil water & Soil type. The author has an hindex of 5, co-authored 9 publications receiving 346 citations.
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Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
TL;DR: The limitations created by the mixed nature of low resolution pixels are being progressively reduced by the higher resolution offered by new sensors, while the continuity of existing systems remains crucial for ensuring the stability of these systems.
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Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
Sophie Bontemps,Marcela Arias,Cosmin Cara,Gérard Dedieu,Eric Guzzonato,Olivier Hagolle,Jordi Inglada,Nicolas Matton,David Morin,Ramona Popescu,Thierry Rabaute,Mickael Savinaud,Guadalupe Sepulcre,Silvia Valero,Ijaz Ahmad,Agnès Bégué,Bingfang Wu,Diego de Abelleyra,Alhousseine Diarra,Stéphane Dupuy,Andrew French,Ibrar ul Hassan Akhtar,Nataliia Kussul,Valentine Lebourgeois,Michel Le Page,Terrence Newby,Igor V. Savin,Santiago R. Verón,Benjamin Koetz,Pierre Defourny +29 more
TL;DR: The project generated an unprecedented data set, made of “Sentinel-2 like” time series and in situ data acquired in 2013 over 12 globally distributed sites, which allowed testing and comparing across sites the methodologies that will be at the core of the future ‘Sentinel2 for Agriculture’ system.
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The use of MODIS data to derive acreage estimations for larger fields : A case study in the south-western Rostov region of Russia
TL;DR: This paper presents a methodology to estimate crop acreage using the MODIS 16-day composite NDVI product, and a novel method based on a pure pixel field sampling is introduced which was found to be superior.
Journal ArticleDOI
Influence of Soil Background on Spectral Reflectance of Winter Wheat Crop Canopy
Elena Prudnikova,Igor V. Savin,Gretelerika Vindeker,Praskovia Grubina,E. A. Shishkonakova,David Sharychev +5 more
TL;DR: The aim of the research was to determine the impact of soil background on spectral reflectance of crop canopy in visible and near-infrared parts of the spectrum at different stages of crop development and how the soil type factor and the dynamics of soil surface affect vegetation indices calculated for crop assessment.
Journal ArticleDOI
Correction: Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. Remote Sens. 2013, 5, 1704-1733
TL;DR: Due to an oversight by the authors, in the upper graph in Figure 4 [1] only the determination coefficients for Morocco are correct and those for the other three countries are wrong.