ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 153-167

Possibilities of tree status inventory in an apple orchard based on remote sensing data

I.Yu. Savin 1, 2 , S.N. Konovalov 3 , E.Yu. Prudnikova 1, 2 , Yu.I. Verniuk 1 , P.G. Grubina 1 , S. Nasser 2 
1 V.V. Dokuchaev Soil Science Institute, Moscow, Russia
2 RUDN University, Moscow, Russia
3 Federal Horticultural Center for Breeding, Agrotechnology and Nursery, Moscow, Russia
Accepted: 14.07.2022
DOI: 10.21046/2070-7401-2022-19-4-153-167
We analyzed the possibilities of using Sentinel-2 satellite data and data obtained from unmanned aerial vehicle (UAV) for rapid assessment of the state of apple trees. The research was carried out on the example of the test site near the settlement of Mikhnevo (Stupino municipality of Moscow region). The data on the apple-tree condition obtained in the field were compared with the parameters calculated from the remote sensing data. It was found that at the moment, remote monitoring of orchard tree condition can be performed on qualitative and semi-quantitative levels. The attempt to construct quantitative assessments did not lead to a positive result. In order to build quantitative dependencies of parameters obtained from satellite data and UAV with tree condition parameters, it is necessary to study in-depth the dynamics of spectral reflectivity of ground objects in an orchard during the whole vegetation season. Besides, it is necessary to introduce additional tree state parameters, which are not currently used in fruit growing practice, but which may give a clue to understanding what properties of vegetation and fruit trees are used to form a remote image during different periods of vegetation season.
Keywords: Sentinel-2, apple orchard, unmanned aerial vehicle, vegetation monitoring, digital elevation model, tree’s status
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