Assessment of the Current State of the Penza-Kamensk State Protective Forest Strip Using Remote Sensing and Field Research

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To improve climatic conditions, preserve agricultural yields and protect against deflation, 8 state protective forest belts (SPFB), with a total length of 5320 km, were designed 76 years ago. Currently, current data on the state of forest protection areas are not publicly available, so determining the current state of protective forest belts based on remote sensing data is relevant. The purpose of the study is to determine the main changes in the spectral brightness coefficients (SBC) of the predominant rocks at the Penza-Kamensk State Forestry Plant based on remote sensing data and inventory work carried out. The object of the study is the state protective forest belt “Penza-Kamensk”, which runs through the territory of the Volgograd region. Mapping of the design boundaries of the research object was carried out using ultra-high-resolution data. The determination of the safety of the Penza-Kamensk State Forestry Landscape was carried out using high-resolution data from the Sentinel-2 satellite based on the NDVI vegetation index). When performing desk research, 6949.62 hectares of the project area of the state protective forest belt were allocated, the area inside the contours was 6317.91 hectares, and the overall safety of the studied object was 90.91%. During the inventory work, more than 59 different types of combinations were described to determine the tree-species composition, the average height of the plantings was calculated, the density in the plots was calculated, and quality classes were assigned according to the Orlov table. As a result of the inventory, it was determined that the predominant species are: English oak (Quercus robur L.), Pennsylvania ash (Fraxinus pennsylvanica Marshall) and Elm (Ulmus L.), for which the CFC was calculated. The data obtained demonstrate a significant difference between the coefficients of the predominant tree species from channel 6 to 8A; high values are observed in sections with a pure elm species composition and a mixed composition. The minimum indicators of CSI in the analysis were obtained in areas with pure ash stands.

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Sobre autores

A. Vypritsky

Federal Scientific Center for Agroecology, Integrated Land Reclamation and Protective Afforestation of the Russian Academy of Sciences

Autor responsável pela correspondência
Email: vyprickiy-a@vfanc.ru
Rússia, Volgograd

K. Sinelnikova

Federal Scientific Center for Agroecology, Integrated Land Reclamation and Protective Afforestation of the Russian Academy of Sciences

Email: vyprickiy-a@vfanc.ru
Rússia, Volgograd

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2. Fig. 1. Tiles of the used images and the location of the Penza–Kamensk GZLP relative to settlements in the Volgograd region.

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3. Fig. 2. An example of temporary test areas of the Penza–Kamensk gas pipeline in the Volgograd region (left: 51°9'35" N, 44°16'5" E; right: 49°22'52" N, 42°16'43"E).

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4. Fig. 3. An example of the allocation of the design and forested area of the Penza–Kamensk gas pipeline using NDVI.

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5. Fig. 4. Spectral brightness curves of the main forest–forming rocks of the Penza-Kamensk GZLP according to Sentinel-2 data.

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