Abstract

The use of remote sensing techniques allows obtaining information about processes that occur on the surface of the Earth. In the aspects of fire protection and forest protection, it is important to know a burnt area which was created as a result of a fire of the soil cover or a total fire. The knowledge of this area is necessary to assess losses. Remote sensing techniques allow obtaining images in various spectral ranges. Remote sensing satellites offer multi-band data. Mathematical operations that operate on values coming from different spectral ranges allow determining various remote sensing indicators. The manuscript presents the possibility of using the NDVI (Normalized Difference Vegetation Index) to classify the burnt area. The NDVI is relatively easy to obtain because it operates in the spectral ranges from 630 up to 915 nm, and is obtainable with one detector only. Thus, it can be obtained without any major problems using unmanned aerial vehicles, regardless of time and cloudiness, as is the case when acquiring satellite images. The manuscript describes experimental research and presents the results.

Highlights

  • In recent years, the rapid development of satellite technology has resulted in intensive research in the field of remote sensing methods

  • Intensified research has resulted in the development of various indicators that are determined mathematically based on various spectral ranges that can be obtained from transducers placed in remote sensing satellites

  • The second limitation is the flight time of a satellite over a selected area. This time is strictly determined and pictures are taken at rare intervals, and their result is dependent on the weather that is available for a narrow time window at the selected area

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Summary

Introduction

The rapid development of satellite technology has resulted in intensive research in the field of remote sensing methods. Intensified research has resulted in the development of various indicators that are determined mathematically based on various spectral ranges that can be obtained from transducers placed in remote sensing satellites. The first satellites had a limited measuring range but it already covered several channels in visible light and in near and far infrared. The digital analysis that allows determining the NDVI was made on the basis of images obtained using one universal transducer in visible light and near infrared from a small height. The assumption of the experiment was to determine the area burnt based on recorded images with minimal equipment facilities and without the use of data from remote sensing satellites due to their time and weather limitations

NDVI biomass vegetative index
Experiment
Conclusions
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