Table of Contents
ISRN Forestry
Volume 2013, Article ID 529193, 8 pages
http://dx.doi.org/10.1155/2013/529193
Research Article

Simple Method of Forest Type Inventory by Joining Low Resolution Remote Sensing of Vegetation Indices with Spatial Information from the Corine Land Cover Database

1Department of Environmental Engineering, Warsaw University of Technology, Ulica Nowowiejska 20, 00-653 Warsaw, Poland
2Space Research Centre, Polish Academy of Sciences, Ulica Bartycka 18A, 00-716 Warsaw, Poland

Received 20 December 2012; Accepted 26 January 2013

Academic Editors: N. Frascaria-Lacoste, G. Martinez Pastur, and J. F. Negron

Copyright © 2013 Jarosław J. Zawadzki et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The paper presents a simple, inexpensive, and effective method allowing for frequent classification of the forest type coniferous, deciduous, and mixed using medium and low resolution remote sensing images. The proposed method is based on the set of vegetation indices such as NDVI, LAI, FAPAR, and LAIxCab calculated from MODIS and MERIS satellite data. The method uses seasonal changes of the above-mentioned vegetation indices within annual cycle. The main idea was to collect and carefully analyse seasonal changes in vegetation indices in a given ecosystem type proven by a Corine Land Cover, 2006 database, and to compare them afterwards with those of a particular forest under study. Each type of a forest ecosystem has its own specific dynamics of development, thus enabling recognition of the type by comparing temporal changes of the proposed measures based on vegetation indices. Temporal measures of changes were created for selected reference stands by the ratios of particular indices determined in July and April, which are the middle and the beginning of a vegetation season in Poland, respectively. The analysed vegetation indices were additionally provided with chosen statistical measures. The statistical analyses were carried out for Poland’s main national parks which represent the natural stands of temperate climate.