Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Analysis and Identification of Abandoned Agricultural Land using the Remote Sensing Methodology

Suziedelyte Visockiene, J, Tumeliene, E and Maliene, V (2019) Analysis and Identification of Abandoned Agricultural Land using the Remote Sensing Methodology. Land Use Policy, 82. pp. 709-715. ISSN 0264-8377

[img] Text
Analysis and Identification of Abandoned Agricultural Land using the Remote Sensing Methodology.pdf - Accepted Version
Restricted to Repository staff only until 21 January 2020.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (576kB)

Abstract

The problems of management of abandoned agricultural land as well as their effective use are relevant for any country to a greater or lesser extent. The endeavours to tackle the problems of effective utilization of abandoned agricultural land and in various ways are made in Lithuania as well as 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 effecticve 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 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.

Item Type: Article
Uncontrolled Keywords: MD Multidisciplinary
Subjects: H Social Sciences > HD Industries. Land use. Labor
Divisions: Built Environment
Publisher: Elsevier
Date Deposited: 21 Jan 2019 09:38
Last Modified: 05 Apr 2019 20:40
URI: http://researchonline.ljmu.ac.uk/id/eprint/9977

Actions (login required)

View Item View Item