Growth Dynamics and Status Assessment of Scots Pine Crops on Reedgrass Meadow Cuts by Remote Sensing Techniques

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630*232

DOI:

10.37482/0536-1036-2020-1-63-74

Abstract

Well-timed and high-quality artificial reforestation is one of the main factors of sustainable forest management. Efficient forest stand formation is influenced by the right choice of the reforestation method and efficient planting material species. Longstanding research of pine crops’ growth in the taiga zone of the Republic of Karelia was held according to the conventional methods. In order to confirm the objectivity of the obtained research results multitime materials of remote sensing taken from the satellites of Landsat and Sentinel series were used for the first time. The presence of red and near infrared channels in the received data allows to calculate NDVI (Normalized Difference Vegetation Index), which gives the opportunity to estimate the photosynthetic active biomass. The index is the difference between the reflected intensities in infrared and red channels divided by the sum of its intensities. The use of NDVI for the study of reforestation dynamics is of reserach interest. Forest live cover analysis has shown that the quota of cereals and fireweed has essentially decreased, while the quota of forest species has increased. It was found that the coniferous stand of the I and Ia quality classes with the stock not fewer than 29.2 m3/ha has developed after Scots pine crops’ formation on the cultivated land of reedgrass meadow cuts by 2019.

Authors

O.I. Gavrilova, Doctor of Agriculture, Assoc. Prof.; ResearcherID: AAF-6295-2019, ORCID: 0000-0002-5618-8239
I.V. Morozova, Candidate of Agriculture; ResearcherID: AAG-1937-2019, ORCID: 0000-0002-3972-7843
Yu.V. Olkhin, Candidate of Biology, Assoc. Prof.; ResearcherID: AAF-8800-2019, ORCID: 0000-0002-5946-8252
A.L. Yureva, Candidate of Biology; ResearcherID: AAE-3981-2019, ORCID: 0000-0002-7252-2268
A.O. Ioffe, Postgraduate Student; ResearcherID: AAF-8862-2019, ORCID: 0000-0001-6548-6273

Affiliation

Petrozavodsk State University, prosp. Lenina, 33, Petrozavodsk, Republic of Karelia, 185910, Russian Federation; e-mail: ogavril@mail.ru, miv12@bk.ru, yuri_olkhin@mail.ru, a_yureva@mail.ru, ana.ioffe@gmail.com 

Keywords

forest crops, Scots pine, planting material, remote sensing, photosynthetically active biomass, phytomass, vegetation index, cut

For citation

Gavrilova O.I., Morozova I.V., Olkhin Yu.V., Yureva A.L., Ioffe A.O. Growth Growth Dynamics and Status Assessment of Scots Pine Crops on Reedgrass Meadow Cuts by Remote Sensing Techniques. Lesnoy Zhurnal [Russian Forestry Journal], 2020, no. 1, pp. 63–74. DOI: 10.37482/0536-1036-2020-1-63-74

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Received on May 28, 2019