Remote estimation techniques of biophysical parameters of forest plant communities and agrophytocenoses within different landscape and climatic zones of Ukraine

1Lyalko, VI, 1Popov, MO, 2Yatsenko, VO, 1Sakhatsky, OI, 3Stankevich, SA, 4Zelyk, Ya.I, 5Kozlova, AO, 6Movchan, DM, 1Zholobak, GM, 4Nabivach, VI, 2Semeniv, OV, 2Pidgorodetska, LV, 5Apostolov, OA, 7Dugin, SS, 5Pestova, IO, 4Semko, ID, 5Vakoluk, MV, 5Krasnopir, OV
1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
2Space Research Institute of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine, Kyiv, Ukraine
3State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
4Space Research Institute of the National Academy of Science of Ukraine and the State Space Agency of Ukraine, Kyiv, Ukraine
5State institution «Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine», Kyiv, Ukraine
6State institution «Scientific Centre for Aerospace Research of the Earth” of the Institute of Geological Science of the National Academy of Sciences of Ukraine, Kyiv, Ukraine
7State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Science of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
Kosm. nauka tehnol. 2015, 21 ;(4):81–83
https://doi.org/10.15407/knit2015.04.081
Section: Study of the Earth from Space
Publication Language: Ukrainian
Abstract: 

The main results of CASRE IGS NASU and SRI NSAUSSAU collaboration during 2014 in the framework of the Program on Space Research of NAS are described. Developed models and techniques for biophysical parameters remote estimation of forest plant communities and agrophytocenoses within different landscape and climatic zones of Ukraine are presented. 

Keywords: agrophytocenoses, biophysical parameters, forest plant communities, landscape-climatic zones of Ukraine., remote sensing, satellite imagery
References: 

1. Zjelyk Ja. I. Regression models evaluating chlorophyll content of leaves, branches and plants in the vegetative cover in general according to ground and space observations.  XVI Mizhnar. nauk. konf. «Astronomichna shkola molodyh vchenyh», 29—31 travnja 2014 r., Kirovograd: Zb. tez.   P. 27 (KDPU, Kyiv, 2014).  [in Ukrainian].

2. Pjestova I. O., Stankevych S. A., Lubs'kyj M. S. Assessment of vegetation in urban areas based on satellite images "Sich-2" and RapidEye.  14th Ukrainian Conference on Space Research: Abstracts (September, 8—12, 2014, Uzhgorod, Ukraine),  P. 151 (Vyd-vo «Kafedra», Kyiv, 2014) [in Ukrainian].

3. Semeniv O. V., Podgorodeckaja L. V. Assessing the aquatic ecosystem biophysical parameters using satellite observations and optimization methods.  Journal of Automation and Information Sciences, No. 5, 99—108 (2014) [in Russian].

4. Semeniv O. V., Pidgorodec'ka L. V. Adaptive processing of remote sensing data based on statistical study for development of methods of remote evaluation of biophysical parameters of forest plant communities and analysis of agrophytocenoses ... agrophytocenoses.  14th Ukrainian Conference on Space Research: Abstracts (September, 8—12, 2014, Uzhgorod, Ukraine),  P. 170 (Vyd-vo «Kafedra», Kyiv, 2014) [in Ukrainian].

5. Stankevich S. A., Kozlova A. O., Matvienko E. V. Definition phenological variability lforest areas in the Western Polesya and of Ukrainian Carpathians using MODIS imagery.  14th Ukrainian Conference on Space Research: Abstracts (September, 8—12, 2014, Uzhgorod, Ukraine),  P. 147 (Vyd-vo «Kafedra», Kyiv, 2014) [in Russian].

6. Stankevich S.A., Piestova I.A. Vegetation cover changes mapping within Kiev metropolis agglomeration using long-term time series of Landsat multispectral satellite imagery.  Current problems in remote sensing of the Earth from space, 11 (2), 187—196 (2014) [in Russian].

7. Stankevych S., Piestova I. Geoinformation data-processing technique for assessment of vegetation in urban area. Visnyk geodezii' ta kartografii', No. 3, 23—26 (2014) [in Ukrainian].

8. Kozlova A. O., Matvienko O. V. Phenological metrics for deciduous forest of Western Polissia and Ukrainian Carpathians derived from EOS/MODIS satellite data.  Earth observations for sustainable development and security “GEO-UA 2014”: Materials of reports of the 4th Int. Conf., May, 26—30, 2014, Kyiv, Ukraine, P. 35 (Nauk.dumka, Kyiv, 2014).

9. Popov M., Semko I., Kozak I. Estimation of leaf area index using airborne lidar data.  Earth observation for sustainable development and security: Materials of reports of the 4th Int. Conference “GEO-UA 2014“.  P. 103—104 (Kyiv, 2014).  Electron. publ.

10. Semeniv O. V. Remote sensing of biochemical components and harmful agents in vegetation.  XVI Mizhnar. nauk. konf. «Astronomichna shkola molodyh vchenyh», 29—31 travnja 2014 r., Kirovograd: Zb. tez.  P. 80 (KDPU, Kyiv, 2014).