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ORCIDIgor V. Savin
- > Home > Persons > Igor V. Savin
Publications
- 2021
[j13]Igor V. Savin
, Konstantin V. Muzalevskiy:
Dielectric Model for Thawed Organic Soils at Frequency of 435 MHz. IEEE Geosci. Remote. Sens. Lett. 18(2): 218-221 (2021)- 2019
- [j8]Valery L. Mironov, Liudmila Kosolapova, Sergey V. Fomin, Igor V. Savin:
Experimental Analysis and Empirical Model of the Complex Permittivity of Five Organic Soils at 1.4 GHz in the Temperature Range From -30 °C to 25 °C. IEEE Trans. Geosci. Remote. Sens. 57(6): 3778-3787 (2019) - 2018
- [c8]Valery L. Mironov, Liudmila Kosolapova, Sergey V. Fomin, Igor V. Savin, Konstantin V. Muzalevskiy:
Dielectric Model for Thawed and Frozen Organic Soils AT 1.4 GHz. IGARSS 2018: 7180-7183 - 2016
- [c6]Valery L. Mironov, Igor V. Savin, Andrey Yu. Karavaysky:
Dielectric model in the frequency range 0.05 to 15 GHz at temperatures -30°C to 25°C for the samples of organic soils and litter collected in Alaska, Yamal, and Siberian Taiga. IGARSS 2016: 2684-2687 - 2015
- [j7]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 N. French, Ibrar ul Hassan Akhtar, Nataliia Kussul, Valentine Lebourgeois, Michel Le Page, Terrence Newby, Igor V. Savin, Santiago R. Verón, Benjamin Koetz, Pierre Defourny:
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2. Remote. Sens. 7(12): 16062-16090 (2015) - [j6]Valery L. Mironov, Yann H. Kerr, Liudmila Kosolapova, Igor V. Savin, Konstantin V. Muzalevskiy:
A Temperature-Dependent Dielectric Model for Thawed and Frozen Organic Soil at 1.4 GHz. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(9): 4470-4477 (2015) - [c5]Valery L. Mironov, Liudmila Kosolapova, Igor V. Savin, Konstantin V. Muzalevskiy:
Temperature dependent dielectric model at 1.4 GHz for a tundra organic-rich soil thawed and frozen. IGARSS 2015: 2016-2019 - [c4]Valery L. Mironov, Igor V. Savin, Konstantin V. Muzalevskiy:
A temperature-dependent multi-relaxation spectroscopic dielectric model for thawed and frozen organic soil at 0.05-15 GHz. IGARSS 2015: 2031-2034 - 2013
- [j5]Felix Rembold, Clement Atzberger, Igor V. Savin, Oscar Rojas:
Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. Remote. Sens. 5(4): 1704-1733 (2013) - [j4]Felix Rembold, Clement Atzberger, Igor V. Savin, Oscar Rojas:
Correction: Rembold, F.; Atzberger, C.; Savin, I.; Rojas, O. Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection. RemoteSens 2013, 5, 1704-1733. Remote. Sens. 5(11): 5572-5573 (2013) - [j3]Valery L. Mironov, Konstantin V. Muzalevskiy, Igor V. Savin:
Retrieving Temperature Gradient in Frozen Active Layer of Arctic Tundra Soils From Radiothermal Observations inL-Band - Theoretical Modeling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(3): 1781-1785 (2013) - [c3]Xin Du, Jihua Meng, Igor V. Savin, Qiangzi Li:
Wheat yield estimation in Russia with modis time-series data based on light use efficiency model. IGARSS 2013: 2848-2851 - 2012
- [c2]Valery L. Mironov, Igor V. Savin, Yuri Ivanovich Lukin, Andrew Yu. Karavaisky:
Phase transition analysis in freezing moist soils carried out on the basis of phase transitions characteristic to the different types of soil water. IGARSS 2012: 4497-4500 - 2010
- [j2]Valery L. Mironov, Roger D. De Roo, Igor V. Savin:
Temperature-Dependable Microwave Dielectric Model for an Arctic Soil. IEEE Trans. Geosci. Remote. Sens. 48(6): 2544-2556 (2010) - [c1]Valery L. Mironov, Roger D. De Roo, Igor V. Savin:
The process of unfrozen water freezing with decreasing temperature studied by dielectric measurement in the case of an Arctic soil. IGARSS 2010: 4423-4425 - 2008
- [j1]Steffen Fritz, Michel Massart, Igor V. Savin, Javier Gallego, Felix Rembold:
The use of MODIS data to derive acreage estimations for larger fields: A case study in the south-western Rostov region of Russia. Int. J. Appl. Earth Obs. Geoinformation 10(4): 453-466 (2008)
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