Abstract

Abstract. The paper presents the results of evaluation of various methodologies of automated land decryption and evaluates the advantages and disadvantages of each of them.

The use of methods of comparative classification made it possible to identify with high reliability the types of agricultural land: arable land, perennials, fallows, hayfields and pastures.

The obtained results allowed to increase the reliability of automated identification of agricultural lands and to establish trends in their quality.

It is proposed to use the presented approach to assess the condition of agricultural lands at the level of united territorial communities.

Keywords

References

References:

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First and Last Name	Academic degree	E-mail	Affiliation
Alina Skorobahatko	No	alinas [at] ukr.net	Taras Shevchenko Kyiv National University, Ukraine Kyiv, Ukraine
Vitaliy Zatserkovnyi	Sc.D.	vitalii.zatserkovnyi [at] gmail.com	Taras Shevchenko Kyiv National University, Ukraine Kyiv, Ukraine
Oleksandr Nikolaienko	Ph.D.	nicola.olex [at] ukr.net	National Aviation University Ukraine Kyiv, Ukraine
Babii Vitaliy	No	Babii.vit [at] ukr.net	Taras Shevchenko Kyiv National University, Ukraine Kyiv, Ukraine
Nadiya Trofimenko	Ph.D.	trofimenko.nadia.v [at] gmail.com	Taras Shevchenko Kyiv National University, Ukraine Kyiv, Ukraine
Petro Trofymenko	Ph.D.	trofimenkopetr [at] ukr.net	Taras Shevchenko Kyiv National University, Ukraine Kyiv, Ukraine

Special features of automated decoding of farmland satellite images (on the example of Kipti territorial community)

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