Forest vegetation assessment using geoinformation tools: a case of the Burla pine forest, Novosibirsk Region, Russia

Tatiyana S Chernikova,Daria D Daibova,Yury S Otmakhov,E.V Banaev,A.P Belanova,Y.G Zaytseva

doi:10.1051/bioconf/20181100008

Abstract

The paper presents the vegetation thematic classification of the Burla banded pine forest carried on using "Canopus-V" remote sensing data and the supervised classification technique by a spectral angle mapper. Areas of selected elements have been assessed: 1. Pine forests, 2. Birch forests; 3. Meadows; 4. Anthropogenic objects (roads, etc.); 5. Agricultural lands; 6. Water objects. Sites of anthropogenic disturbed forests are identified according to remote sensing data. The results show that the data obtained in the classification by a spectral angle can be used to compile geobotanical maps, but due to low spectral resolution of Canopus-V satellite data, it is not always possible to classify individual objects validlys.

Highlights

Techniques of the Earth multispectral remote sensing are widely used to interpretate forest areas based on differences between their spectral properties recent decades
As a result of applying the supervised classification technique by spectral angle mapper (SAM) based at test sites of five classes set at an assigning stage, the areas of different vegetation units identified (Fig. 1)
Due to the similarity of spectral signatures of disturbed territories with a size less than remote sensing data resolution with the signatures of the open soil, the classifier could not uniquely distinguish them, the swamped lake coastal areas fell into the group of anthropogenic objects (4)

Summary

Introduction

Techniques of the Earth multispectral remote sensing are widely used to interpretate forest areas based on differences between their spectral properties recent decades. The data obtained allow mapping large areas, at the same time make it possible to draw preliminary conclusions about the nature of anthropogenic impact [1, 2, 3]. It was ascertained that intensive economic activity led to anthropogenic transformation of natural ecosystems. When the protective role of the banded forests was established and forest farms began actively restored, the area covered by the forest decreased from 288,000 to 85,000 hectares (as of 2015). Planned logging operations are necessary, but should take into account biological features and environmental conditions of pine ecosystems [13, 14]

Methods

Results

Conclusion