ABANDONED LAND INDENTIFICATION METHODOLOGY IMPROVEMENT USING LASER SCANDATA

Abstract

Currently, abandoned lands in Lithuania are determined remotely by analyzing the spectral images of the Earth's surface from the Earth satellite, which are linked to the Lithuanian coordinate system - LKS-94. However, in many cases space images may not be suitable due to excessive cloud cover. Other remote sensing technologies, such as laser scanning for the determination of abandoned land, are not yet used in Lithuania, due to the lack of scientific justification of the method. Lidar is a laser-scanning technology that measures the time between the active sensor's laser energy being emitted and its recovery back. The received information is displayed in a cloud of 3D points, which allows you to determine the objects’ height, volume, density, etc. Received data are compatible, high relative scanning accuracy is obtained. In this work are evaluated opportunities for abandoned land detection using laser scanning data. In order to achieve the goals, the possibilities of using the identified abandoned lands are discussed by the method of literature and statistical data analysis. Autodesk and UAB InfoEra, GeoMap software based on AutoCAD Map3D was used for data processing. It stores and processes datasets, manual clasification was used. The Undet tool of the GeoMap program was used for data processing of digital spatial laser scans for conversion and efficient management of Lidar point arrays. After the investigation in the research areas, it was found that comparing the set of abandoned land areas and areas which were classified by manual methods according to the digital raster and digital laser data set size of the abandoned areas was different. The abandoned land difference by the digital laser data was from 0,01 to 3,03 hectares.