Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/61550
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Aplinkos inžinerija / Environmental engineering (T004)
Author(s): Sužiedelytė-Visockienė, Jūratė;Tumelienė, Eglė;Malienė, Vida
Title: Analysis and identification of abandoned agricultural land using remote sensing methodology
Is part of: Land use policy. Oxon, England : Elsevier Ltd, 2019, vol. 82
Extent: p. 709-715
Date: 2019
Keywords: Development;Abandoned agricultural land;Sustainability;Land use;Spatial data;Remote sensing
Abstract: The management of abandoned agricultural land as well as their effective use are relevant for any country to a greater or lesser extent. An attempt to tackle the problems of ineffective utilization of abandoned agricultural land is made in Lithuania and elsewhere. While analyzing the issues related to abandoned agricultural land, a clear definition of an abandoned area is important to perceive as well as potential methods for the identification of such areas are needed to analyse. Also, in order to suggest an effective utilisation of abandoned agricultural land for sustainable land use in the country, the analysis and statistics of such land is important to undertake. The paper discusses the analysis of abandoned agricultural land in Lithuania, providing the dynamics of changes of abandoned agricultural land and the percentage distribution of such land across Lithuania. Also, the factors, which caused the abonded agricultural land appearance in Lithuania identified and described. The Remote Sensing method identified and analysed as the most effective methodology for abandoned agricultural land identification. A collection of spatial data on abandoned agricultural land was formed on the base of spectral images of the terrene obtained from an artificial Earth satellite and a map of abandoned agricultural areas was created upon applying remote cartographic methods
Internet: https://www.sciencedirect.com/science/article/pii/S0264837718303041?via%3Dihub#!
Affiliation(s): Vilniaus Gedimino technikos universitetas
Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml9.31 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

WEB OF SCIENCETM
Citations 5

5
checked on Jun 2, 2020

Page view(s)

100
checked on Oct 1, 2019

Download(s)

10
checked on Oct 1, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.