Investigations of land resources from multifrequency radar surveying data

Heading: 
Study of the Earth from Space
1Yatsevich, SE, 2Efimov, VB, 2Tsymbal, VN, 3Achasov, AB, 3Shatokhin, AV
1O.Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Science of Ukraine, Kharkiv, Ukraine
2A.I. Kalmykov Center for Radio Physical Sensing, NAS of Ukraine and National Space Agency of Ukraine, Kharkiv, Ukraine
3National Scientific Center "Institute for Soil Science and Agricultural Chemistry named after Sokolovsky," National Academy of Agrarian Sciences of Ukraine, Kharkiv, Ukraine
Kosm. nauka tehnol. 1999, 5 ;(2):34–40
https://doi.org/10.15407/knit1999.02.034
Publication Language: Russian
Abstract: 
We discuss remote sensing data from surveying the "vegetation−soil" system with the airborne multifrequency radar facility (MARS) in the X-, L-, and VHF- bands. Various methods for radar data interpretation are presented.
Keywords: land resources, radar surveying data, remote sensing
Full text (PDF)
 
References: 
1. Gavrilenko A. S., Kalmykov A. I., Pichugin A. P. Radar Observations of Ground Cover in 3-cm Waveband. Issledovaniye Zemli iz Kosmosa, No 1, 85—92 (1987) [in Russian].
2. Kalmykov A. I., Tsymbal V. N., Blinkov A. N., et al. Mnogocelevoj radiolokacionnyj kompleks issledovanija Zemli: Preprint IRE AS USSR No. 90-13, 25 p., (Kharkov, 1990) [in Russian].
3. Kalmykov A. I., Shcherbinin I. V., Yatsevich S. E. Kompleksnye radiofizicheskie issledovanija sel'skohozjajstvennyh ugodij. Kosmich. nauka i tehnika, Is. 5, 32—36 (1990) [in Russian].
4. Kim J. O., Muller C. W., Klekka U. R., et al. Factorial, Discriminant, and Cluster Analysis, Transl. from Eng., 215 p. (Finansy i statistika, Moscow, 1989) [in Russian].
5. Melnik Yu. A. (Ed.) Radar methods of the earth exploration, 264 p. (Sov. radio, Moscow, 1980) [in Russian].
6. Mitnik L. M., Viktorov S. V. (Eds.) Radar Sensing of the Earth's Surface from Space, — 200 p. (Gidrometeoizdat, Leningrad, 1990) [in Russian].

7. Volosiuk V. G. Classification of Image Data   by Analitic Approximation of Likelihood Relation Technique. EUSAR'96, European Conf. on Synthetic Aperture Radar, Koenigswinter, 26—28 March, 1996, 97—100 (1996).