Cover Image

Evaluation of indicators for desertification risk assessment of Oleshky sands desertification based on Landsat data time series

Saved in:

Bibliographic Details
Date:	2023
Main Authors:	M. S. Lubskyi, T. A. Orlenko, I. O. Piestova, A. A. Andreiev, A. R. Lysenko
Format:	Article
Language:	English
Published:	2023
Series:	Ukrainian journal of remote sensing
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001395231
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

Evaluation of indicators for desertification risk assessment of Oleshky sands desertification based on Landsat data time series
by: Lubskyi, Mykola, et al.
Published: (2023)

Evaluation of the influence of natural and anthropogenic factors on desertification of the Absheron Peninsula In Azerbaijan Republic
by: B. G. Aliev, et al.
Published: (2018)

Assessment of desertification areas in Ukraine by estimation of water indexes using remote sensing data
by: O. A. Apostolov, et al.
Published: (2020)

Influence of climate aridization and changes in the Black Sea level on the features of tailed amphibians (amphibia, caudata) distribution in the Oleshky sands
by: Ye. H. Roman, et al.
Published: (2020)

Summer surface temperature distribution analysis of Mykolayiv city based on the Landsat series thermal infrared data
by: Lischenko, Lyidmila, et al.
Published: (2019)

Summer surface temperature distribution analysis of Mykolayiv city based on the Landsat series thermal infrared data
by: L. P. Lishchenko, et al.
Published: (2019)

Using of Landsat 8 satellite data for determination of microclimatic peculiarities of Kiev
by: S. A. Shevchuk, et al.
Published: (2016)

Using of Landsat 8 satellite data for determination of microclimatic peculiarities of Kiev
by: Shevchuk, Sergii, et al.
Published: (2016)

State of the protective forest belts of various purposes in the Oleshky district of Kherson Region
by: Yu. Vysotska, et al.
Published: (2019)

The estimation of cultivated areas under winter crops by Landsat survey data over the Donetsk region
by: V. I. Lialko, et al.
Published: (2017)

A method of preliminary forecasting of time series of financial data
by: A. D. Shatashvili, et al.
Published: (2020)

The age of glauconitic sands of Dnepropetrovsk
by: A. A. Berezovskij
Published: (2013)

Simulation of the vulnerability of the steppe landscape and climate zone of Ukraine to climate changes based on space image data
by: M. S. Lubskyi, et al.
Published: (2024)

Effective temperature of self-similar time series
by: Olemskoi, A., et al.
Published: (2005)

Selecting moving objects using time series
by: A. V. Aharkov
Published: (2016)

Algorithm flars and recognition of time series anomalies
by: Gvishiani, A.D., et al.
Published: (2004)

Forecasting the Dynamics of Stockbreeding Development Using Time Series
by: A. B. Kulyk
Published: (2024)

Analysis and forecasting of self-similar financial time series
by: Moklyachuk, M., et al.
Published: (2006)

Evaluation and decrease in real time of risk of oscillatory loss of interconnected power system stability
by: O. F. Butkevych, et al.
Published: (2015)

Pollution of marine sands of the Odessa agglomeration
by: S. E. Djatlov, et al.
Published: (2020)

New approach for research of microalgae of sand substrates
by: A. A. Snigirjova, et al.
Published: (2014)

Evaluation of the integral indicator of macroeconomic stability
by: I. V. Didenko, et al.
Published: (2023)

90 years of sand afforestation
by: V. I. Fomin, et al.
Published: (2017)

Combined Autoregressive-Neural Network Method for Predicting Time Series
by: G. A. Kravtsov, et al.
Published: (2020)

Sand forming processes using gradients of pressure, temperature and concentration of reagents in the sand molding mixture
by: O. I. Shinskij, et al.
Published: (2017)

The Fuzzy Adaptation of Probabilistic Risk Indicators
by: O. S. Kotsiuba
Published: (2017)

Premature aging indices in patients with moderate cardiovascular risk
by: Ye. Zaprovalna, et al.
Published: (2021)

A linguistic approach to time series forecasting
by: D. V. Lande, et al.
Published: (2022)

A linguistic approach to time series forecasting
by: Ланде, Д. В., et al.
Published: (2022)

Estimate of time series similarity based on models
by: T. V. Knignitskaja
Published: (2019)

Coherent cross-spectral analysis of time series
by: I. M. Yavorskyi, et al.
Published: (2016)

Partially Observed Discrete-valued Time Series
by: Lakhdar Aggoun, et al.
Published: (2007)

Evaluation of indicators of stereoendoscopic systems in rhinology
by: A. O. Sokoltsov, et al.
Published: (2024)

Implementation of the reconstruction process for constructive-synthesizing models of fractal time series
by: Shynkarenko, V.I., et al.
Published: (2026)

Research of the Process of Quartz Sand Encapsulation by Pyrolytic Carbon
by: V. A. Bogomolov, et al.
Published: (2013)

Оцінка посівних площ озимих культур за даними космічної зйомки з супутника Landsat на території Донецької області
by: Лялько, В.І., et al.
Published: (2017)

Extrapolation forecasting on base of time series data with using of situational and inductive models
by: D. V. Stefanyshyn
Published: (2016)

Glasses on the basis of sand and nonmetallic minerals
by: H. F. Horbachev, et al.
Published: (2010)

On the time series support vector machine using dynamic time warping kernel for brain activity classification
by: Chaovalitwongse, W.A., et al.
Published: (2008)

Properties of the series of exponents whose indices have finite density
by: Krutigolova , E. K., et al.
Published: (2025)